TRY File ArchiveThis is an archive service of the TRY Initiative complementary to the TRY Database and makes plant trait data, supplementary data and other data products discoverable, reusable, and citable. Content in the TRY File Archive is offered "as is." By downloading files, you agree to the terms of service of the TRY File Archive. Data download from the TRY File Archive is unrestricted - unless a restriction is posed on the individual dataset by the data owner - and requires only a free registration needed for web security reasons. Attribution: When using data via the TRY File Archive, please cite the original publication and additionally please cite the TRY File Archive data package.
List of available files:
TRY - Categorical Traits Dataset
TRY 2.0 – Site Information
TRY 3.0 – Site Information
Selected leaf and stem traits from the BRIDGE database
Water Use Tree Diversity Experiment - Göttingen 2012
GlobResp - Global Leaf Respiration Database
Community species composition, above ground biomass nutrient contents
San Lorenzo Epiphyte Leaf Traits
Functional Traits Trees Golfo Dulce Costa Rica
Niwot Trait Data 2016
Rhododendron leaf and root economic traits
TRY 4.0 – Site Information
fine root traits of 141 Central European grassland species
15 traits of 34 hebaceous species in Sherbrooke
Trait and biomass data 2014 and 2015 of the BE LOW project
Yasuni Ecuador Leaf Drought Tolerance and Mechanical Toughness
Simova et al. Journal of Ecology dataset
Iranian plant traits database
Yasuni Ecuador Leaf ITV
TRY Primary Data Source References
TRY 5.0 – Site Information
TRY Database version 5.0: z-scores for outlier detection
Functional trait data Colombian dry Forest trees
Functional trait data Colombian dry Forest trees
Lariz Occidentalis branch section specific leaf area and dry mass
Plant traits along NPK gradients
Thermo-Mediterranean species along Greece
Functional traits related to flammability
MediterraneanRoadcutTraitData
Herbaceous leaf traits database from Mediterranean serpentine and non-serpentine soils
Moravcova-Pysek Reproductive traits of neophyte in the Czech Republic
Arable weed trait data set
JenaExperimentTraits
Mediterranean mixed forest
Terrestrial Mediterranean Orchids Functional Traits
CONCERNING SOME ECOPHYSIOLOGICAL PARAMETERS OF TREE LEAVES IN FOREST-STEPPE PLANTINGS.Tree and shrub
Div_Resource Pot Experiment
Montane_grassland_FT
sub-Antarctic_tundra_FT
Fagus sylvatica Paggeo Greece
BolivianBofedalTraitData
Pinus_traits_Beloiu_Beierkuhnlein_06_2019
Plant height of Mediterranean herb layer communities, Sardinia, Italy
Iranian Marl database
Fabio Carvalho lowland fen peatland
Adenostyles alliariae leaf morphology
LMA and LDMC of cloud forest tree seedlings in an elevation gradient
Tropical tree seedling above and below ground traits
Ameroglossum_data
Under-ground Carbohydrate Stores and Storage Organs in Fire-Maintained Longleaf Pine Savannas in Flo
Colorado Plateau Restoration Species
Tropical dry forest species traits
ROSALBA MIREYA HERNANDEZ HERRERA
Data from: Olson et al. 2020 Ecological Monographs vessel diameter-plant height scaling
Leaf traits of plants in the Green House.Botanical garden of the Samara University
Global trait maps at 3km resolution
Global trait maps at 1km resolution
Individual-based traits in alpine vegetation
Functional traits and phylogenetics help explain coastal grassland restoration planting survival and
ParacouITV
Data for: Sancho-Knapik et al. Deciduous evergreen oaks contrasting responses in LMA
Mean leaf trait values of woody seedlings of a Caatinga Dry Forest
CMQ lettuce
Symphonia seedling reciprocal transplantation experiment (survival, growth, and predation)
Heishiding_Performance_Trait_Environment_Data
RespTempOz database
Bonetti et al_PCE_2020_Xylem hydraulic conductivity
Dataset of leaf inclination angles for 71 different Eucalyptus species
Leaf, trap, and seed traits of carnivorous plants
Wood carbon concentrations in dead wood
Wood functional traits at different stem-sizes
Leaf size traits dataset for seven plant species from herbarium vouchers
Wood carbon concentrations and climate correlates
CNP seed nutrient content
Data for: Functional traits shape tree species distribution in the Himalayas
The global spectrum of plant form and function dataset
Global Vessel Diameter and Vessel Wall Thickness Dataset
Data from: A trait?environment relationship approach to participatory plant breeding for organ
Baker et al 2022 New Phyt. Flammability and Volatiles data
Root Systems of Individual Plants (RSIP)
Mean leaf trait values of 25 Quercus species
Root tip morphology of Macaranga and Shorea in Pasoh Forest Reserve of Peninsula Malaysia
TraitEvolAlpBrassi2020
TRY 6.0 – Site Information
TRY Database version 6.0: z-scores for outlier detection
Wooded Pastures forbs - above- and belowground functional traits
Grapevine adventitious root traits
Morphological traits of lowland and alpine species from the Calanda mountain, eastern Swiss Alps
Data from: Assisted restoration interventions drive functional recovery of tropical wet forest tree
Plant_traits_LTER_Matsch_Mazia
Imputing missing data in plant traits: a guide to improve gap-filling (data).
| Title: | TRY - Categorical Traits Dataset | | TRY File Archive ID: | 3 | | Rights of use: | Public, CC.BY.3.0 | | Publication Date: | 2012-03-19 | | Version: | 1.0 | | Author: | Jens Kattge, Interdepartmental Max Planck Fellow Group Functional Biogeography, Max Planck Institute for Biogeochemistry, Max Planck Society, escidoc:1938314; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany | | Contributors: | Gerhard Bönisch (Max Planck Institute for Biogeochemistry, Jena, Germany), Angela Günther (Max Planck Institute for Biogeochemistry, Jena, Germany); Ian Wright (Macquarie University, Australia), Amy Zanne (University of Missouri, USA), Christian Wirth (Univerity of Leipzig, Germany), Peter Reich (University of Minnesota, USA; University of Western Sydney, Australia) and the TRY Consortium | | Reference to publication: | Kattge, J., Diaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Bönisch, G., Garnier, E., Westoby, M., Reich, P. B., Wright, I. J., Cornelissen, J. H. C., Violle, C., Harrison, S. P., Van Bodegom, P. M., Reichstein, M., Enquist, B. J., Soudzilovskaia, N. A., Ackerly, D. D., Anand, M., Atkin, O., Bahn, M., Baker, T. R., Baldocchi, D., Bekker, R., Blanco, C. C., Blonder, B., Bond, W. J., Bradstock, R., Bunker, D. E., Casanoves, F., Cavender-Bares, J., Chambers, J. Q., Chapin Iii, F. S., Chave, J., Coomes, D., Cornwell, W. K., Craine, J. M., Dobrin, B. H., Duarte, L., Durka, W., Elser, J., Esser, G., Estiarte, M., Fagan, W. F., Fang, J., Fernández-Méndez, F., Fidelis, A., Finegan, B., Flores, O., Ford, H., Frank, D., Freschet, G. T., Fyllas, N. M., Gallagher, R. V., Green, W. A., Gutierrez, A. G., Hickler, T., Higgins, S. I., Hodgson, J. G., Jalili, A., Jansen, S., Joly, C. A., Kerkhoff, A. J., Kirkup, D., Kitajima, K., Kleyer, M., Klotz, S., Knops, J. M. H., Kramer, K., Kühn, I., Kurokawa, H., Laughlin, D., Lee, T. D., Leishman, M., Lens, F., Lenz, T., Lewis, S. L., Lloyd, J., Llusiŕ, J., Louault, F., Ma, S., Mahecha, M. D., Manning, P., Massad, T., Medlyn, B. E., Messier, J., Moles, A. T., Müller, S. C., Nadrowski, K., Naeem, S., Niinemets, Ü., Nöllert, S., Nueske, A., Ogaya, R., Oleksyn, J., Onipchenko, V. G., Onoda, Y., Ordonez, J., Overbeck, G., Ozinga, W. A., Patińo, S., Paula, S., Pausas, J. G., Peńuelas, J., Phillips, O. L., Pillar, V., Poorter, H., Poorter, L., Poschlod, P., Prinzing, A., Proulx, R., Rammig, A., Reinsch, S., Reu, B., Sack, L., Salgado-Negret, B., Sardans, J., Shiodera, S., Shipley, B., Siefert, A., Sosinski, E., Soussana, J.-F., Swaine, E., Swenson, N., Thompson, K., Thornton, P., Waldram, M., Weiher, E., White, M., White, S., Wright, S. J., Yguel, B., Zaehle, S., Zanne, A. E., Wirth, C. (2011) TRY - a global database of plant traits. Global Change Biology 17:2905-2935. | | Reference to data package: | Kattge, J., Bönisch, G., Günther, A., Wright, I., Zanne, A., Wirth, C., Reich, P.B. and the TRY Consortium (2012) TRY - Categorical Traits Dataset. Data from: TRY - a global database of plant traits. TRY File Archive https://www.try-db.org/TryWeb/Data.php#3 | | DOI: | 10.17871/TRY.3 | | Format: | Zipped archive, including: data file (Excel), documentation (PDF), data policy for the TRY file archive (PDF) | | File name: | TRY_Categorical_Traits_Lookup_Table_2012_03_17_TestRelease.zip | | Description: | Categorical traits for species in the TRY database | | Geolocation: | Global | | Temporal coverage: | Holocene | | Taxonomic coverage: | terrestrial vascular plants | | Field list: | AccSpeciesID, AccSpeciesName, IPNI/TROPICOS, Genus, SpeciesEpithet, Family, PhylogeneticGroup, PlantGrowthForm, Succulent, climber, Parasitic, Aquatic, Epiphyte, Crop, Palmoid, LeafType, LeafPhenology, PhotosyntheticPathway, Woodiness, WoodinessDetail, LeafCompoundness, NumberOfLeaflets, PlantGrowthFormSource, SucculentSource, ClimbingSource, ParasiticSource, AquaticSource, EpiphyticSource, CropSource, PalmoidSource, PlantGrowthFormAttributesSource, LeafTypeSource, LeafPhenSource, PhotoSource, WoodinessSource, LeafCompoundnessSource |
| Title: | TRY 2.0 – Site Information | | TRY File Archive ID: | 5 | | Rights of use: | Public, | | Publication Date: | 2012-03-30 | | Version: | 1.0 | | Author: | Jens Kattge, Max Planck Institute for Biogeochemistry, Jena, Germany | | Contributors: | Gerhard Bönisch, Uli Weber (MPI-BGC, Jena, Germany) | | Reference to publication: | Dataset: Kattge, J. et al. (2011) TRY - a global database of plant traits.
Global Change Biology 17:2905-2935.
Climate: Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.
Climate Classes: M. C. Peel, B. L. Finlayson, and T. A. McMahon (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci., 11, 1633–1644
Soil: FAO/IIASA/ISRIC/ISSCAS/JRC, 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria. | | Reference to data package: | Kattge, J. et al. (2011) TRY 2.0 – Site Information. Data from: TRY - a global database of plant traits. TRY Downloadable Files Archive https://www.try-db.org/TryWeb/Data.php#5 | | DOI: | | | Format: | Zipped archive: data file Excel 2010, documentation files pdf, pictures png, data use agreement pdf | | File name: | TRY_Site_Climate_Soil_2012_03_28.zip | | Description: | Climate, soil and biome information for sites in the TRY database:
Climate: WorldClim – Global Climate Data Version 1.4 (release 3): http://www.worldclim.org/ accessed 2011/11/10
Soil: HWSD Harmonized World Soil Database v1.2 http://www.iiasa.ac.at/Research/LUC/External-World-soil-database/HTML
Accessed: 2011/11/10
BIOME: M. C. Peel, B. L. Finlayson, and T. A. McMahon (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci., 11, 1633–1644
| | Geolocation: | Global | | Temporal coverage: | Current | | Taxonomic coverage: | Not applicable | | Field list: | LON_site, LAT_site, ObservationId, TempAnnMean_DegC, PrecipAnnMean_mm, TempMean01, TempMean02, TempMean03, TempMean04, TempMean05, TempMean06, TempMean07, TempMean08, TempMean09, TempMean10, TempMean11, TempMean12, PrecipMean01, PrecipMean02, PrecipMean03, PrecipMean04, PrecipMean05, PrecipMean06, PrecipMean07, PrecipMean08, PrecipMean09, PrecipMean10, PrecipMean11, PrecipMean12, Isothermality, TemperatureSeasonality, KoeppenGeigerID, AWC_mm, S_Clay_%, S_Gravel_%, S_OC_%, S_Sand_%, S_Silt_%, T_Clay_%, T_Gravel_%, T_OC_%, T_Sand_%, T_Silt_% |
| Title: | TRY 3.0 – Site Information | | TRY File Archive ID: | 6 | | Rights of use: | Public, | | Publication Date: | 2015-02-18 | | Version: | 1.0 | | Author: | Jens Kattge, Max Planck Institute for Biogeochemistry, Jena, Germany | | Contributors: | Gerhard Bönisch, Uli Weber (MPI-BGC, Jena, Germany) | | Reference to publication: | Dataset: Kattge, J. et al. (2011b) TRY - a global database of plant traits.
Global Change Biology 17:2905-2935.
Climate: Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.
Climate Classes: M. C. Peel, B. L. Finlayson, and T. A. McMahon (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci., 11, 1633–1644
Soil: FAO/IIASA/ISRIC/ISSCAS/JRC, 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria.
| | Reference to data package: | Kattge, J. et al. (2011) TRY 3.0 – Site Information. Data from: TRY - a global database of plant traits. TRY Downloadable Files Archive https://www.try-db.org/TryWeb/Data.php#6 | | DOI: | | | Format: | Zipped archive: data file Excel 2010, documentation files pdf, pictures png, data use agreement pdf | | File name: | TRY_Site_Climate_Soil_2015_02_18.zip | | Description: | Climate, soil and biome information for sites in the TRY database:
Climate: WorldClim – Global Climate Data Version 1.4 (release 3): http://www.worldclim.org/ accessed 2011/11/10
Soil: HWSD Harmonized World Soil Database v1.2 http://www.iiasa.ac.at/Research/LUC/External-World-soil-database/HTML
Accessed: 2011/11/10
BIOME: M. C. Peel, B. L. Finlayson, and T. A. McMahon (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci., 11, 1633–1644
| | Geolocation: | Global | | Temporal coverage: | Current | | Taxonomic coverage: | Not applicable | | Field list: | LON_site, LAT_site, ObservationId, TempAnnMean_DegC, PrecipAnnMean_mm, TempMean01, TempMean02, TempMean03, TempMean04, TempMean05, TempMean06, TempMean07, TempMean08, TempMean09, TempMean10, TempMean11, TempMean12, PrecipMean01, PrecipMean02, PrecipMean03, PrecipMean04, PrecipMean05, PrecipMean06, PrecipMean07, PrecipMean08, PrecipMean09, PrecipMean10, PrecipMean11, PrecipMean12, Isothermality, TemperatureSeasonality, KoeppenGeigerID, AWC_mm, S_Clay_%, S_Gravel_%, S_OC_%, S_Sand_%, S_Silt_%, T_Clay_%, T_Gravel_%, T_OC_%, T_Sand_%, T_Silt_% |
| Title: | Selected leaf and stem traits from the BRIDGE database | | TRY File Archive ID: | 7 | | Rights of use: | Public, | | Publication Date: | 2015-02-20 | | Version: | Final | | Author: | Christopher Baraloto, INRA UMR Ecologie des Foręts de Guyane and University of Florida, Chris.Baraloto@ecofog.gf | | Contributors: | Timothy Paine, University of Stirling, UK, cetpaine@gmail.com | | Reference to publication: | Paine CET, Baraloto C, Diaz S (2015) Optimal strategies for sampling functional traits in species-rich forests. Functional Ecology, doi:10.1111/1365-2435.12433 | | Reference to data package: | Paine CET, Baraloto C, Diaz S (2015) Selected leaf and stem traits from the BRIDGE database. Data from: Optimal strategies for sampling functional traits in species-rich forests. TRY Downloadable Files Archive https://www.try-db.org/TryWeb/Data.php#7 | | DOI: | | | Format: | Zipped archive: data file comma separated values (csv), documentation and data use agreement pdf | | File name: | FunctionalEcologyFE-2014-00595.R2.zip | | Description: | This dataset is an extract of the BRIDGE database for selected leaf and stem traits. The whole BRIDGE database is public available via request to the TRY database | | Geolocation: | French Guiana | | Temporal coverage: | 2008 - 2010 | | Taxonomic coverage: | Tropical trees | | Field list: | Family, Genus, species, bar_code, plot_code, X, Y, DBH, leaf_thickness, leaf_toughness, sapwood_density, N, C_N, N15, C13, chlorophyll_concentration, surface_area, SLA |
| Title: | Water Use Tree Diversity Experiment - Göttingen 2012 | | TRY File Archive ID: | 8 | | Rights of use: | Public, | | Publication Date: | 2015-05-05 | | Version: | 1 | | Author: | Torben Lübbe, Albrecht-von-Haller Institute for Plant Science, Dept. Plant Ecology and Ecosystem Research, Grisebachstr. 1, D-37077 Göttingen. E-Mail: tluebbe@gwdg.de, Phone: +49 551 395702 | | Contributors: | KJ Bloomfield, PB Reich, MG Tjoelker, GP Asner, D Bonal, G Bönisch, M Bradford, LA Cernusak, EG Cosio, D Creek, KY Crous, T Domingues, JS Dukes, JJG Egerton, JR Evans, GD Farquhar, NM Fyllas, PPG Gauthier, E Gloor, TE Gimeno, K. Griffin, R Guerrieri, MA Heskel, C Huntingford, FY Ishida, J Kattge, H Lambers, MJ Liddell, CH Lusk, RE Martin, TC Maximov, AP Maksimov, Y Mahli, BE Medlyn, PMeir, LM Mercado, N Mirotchnick, D Ng, Ü Niinemets, OS O’Sullivan, OL Philips, L Poorter, P Poot, IC Prentice, N Salinas, LM. Rowland, MG Ryan, S Sitch, Martijn Slot, NG Smith, MH Turnbull , MC VanderWel, F Valladares, EJ Veneklaas, LK Weerasinghe, C Wirth, IJ Wright, K Wythers, J Xiang, S Xiang, and J Zaragoza-Castells | | Reference to publication: | Lübbe et al. (2015): Species diversity and identity effects on the water consumption of tree sapling assemblages under ample and limited water supply. Oikos. DOI :10.1111/oik.02367 | | Reference to data package: | Lübbe et al. (2015): Species diversity and identity effects on the water consumption of tree sapling assemblages under ample and limited water supply - Dataset https://www.try-db.org/TryWeb/Data.php#XXX | | DOI: | | | Format: | Zipped archive: data file Excel 2010, documentation included | | File name: | Water_Use_Tree_Diversity_Experiment_Goettingen_2012.zip | | Description: | Potted tree diversity experiment with 3 yrs old saplings of 5 temperate deciduous tree species (A. pseudoplatanus, C. betulus, F. sylvatica, F. excelsior and T. cordata). Each 5 trees were cultivated in an assemblage, differing in tree diversity (1,3 or 5 species) and soil water supply (moist and dry treatment). | | Geolocation: | Exerimental Botanical Garden, University of Goettingen (51°33' N, 9°57' E; 177 m a.s.l.) | | Temporal coverage: | April 2011 - August 2012 | | Taxonomic coverage: | Acer pseudoplatanus, Carpinus betulus, Fagus sylvatica, Fraxinus excelsior, Tilia cordata | | Field list: | Pot ID, Diversity Level, Genus, Species, Species Combination, Soil Moisture, Treatment, Tree ID, Species_n, LAPot, SAPot, Tday, Trate, TLA, TSA, ks, gs, d13C, LA, SA, Huber value |
| Title: | GlobResp - Global Leaf Respiration Database | | TRY File Archive ID: | 9 | | Rights of use: | Restricted, | | Publication Date: | 2015-05-05 | | Version: | 1 | | Author: | Owen Atkin, Australian National University, Canberra, Australia | | Contributors: | | | Reference to publication: | Atkin OK, KJ Bloomfield, PB Reich, MG Tjoelker, GP Asner, D Bonal, G Bönisch, M Bradford, LA Cernusak, EG Cosio, D Creek, KY Crous, T Domingues, JS Dukes, JJG Egerton, JR Evans, GD Farquhar, NM Fyllas, PPG Gauthier, E Gloor, TE Gimeno, K. Griffin, R Guerrieri, MA Heskel, C Huntingford, FY Ishida, J Kattge, H Lambers, MJ Liddell, CH Lusk, RE Martin, TC Maximov, AP Maksimov, Y Mahli, BE Medlyn, PMeir, LM Mercado, N Mirotchnick, D Ng, Ü Niinemets, OS O’Sullivan, OL Philips, L Poorter, P Poot, IC Prentice, N Salinas, LM. Rowland, MG Ryan, S Sitch, Martijn Slot, NG Smith, MH Turnbull , MC VanderWel, F Valladares, EJ Veneklaas, LK Weerasinghe, C Wirth, IJ Wright, K Wythers, J Xiang, S Xiang, and J Zaragoza-Castells (2015) Global variability in leaf respiration among plant functional types in relation to climate and leaf traits. New Phytologist 206: 614–636. DOI: 10.1111/nph.13253 | | Reference to data package: | Atkin OK, KJ Bloomfield, PB Reich, MG Tjoelker, GP Asner, D Bonal, G Bönisch, M Bradford, LA Cernusak, EG Cosio, D Creek, KY Crous, T Domingues, JS Dukes, JJG Egerton, JR Evans, GD Farquhar, NM Fyllas, PPG Gauthier, E Gloor, TE Gimeno, K. Griffin, R | | DOI: | | | Format: | Zipped archive: data file Excel 2010, documentation and data use agreement included | | File name: | GlobResp_database_Atkinetal2015_New_Phytologist.zip | | Description: | To create a global leaf respiration and associated leaf traits (GlobResp)database, we combined data from recent field campaigns (Supporting Information, Table S1) with previously published data (Table S2). Data were obtained from recent publications (Atkin et al., 2013; Slot et al., 2013; Slot et al., 2014b; Weerasinghe et al., 2014) and the TRY trait database (Kattge et al., 2011; from the following TRY data 'Custodians': Peter Reich, Jens Kattge, Ülo Niinemets, Lourens Poorter and Ian Wright, noting that these Custodians have in some cases contributed data on behalf of others, most of whom are authors on the GlobResp paper). The TRY component of GlobResp includes published studies (Mooney et al., 1983; Oberbauer & Strain, 1985; Oberbauer & Strain, 1986; Chazdon & Kaufmann, 1993; Kamaluddin & Grace, 1993; Kloeppel et al., 1993; García-Núńez et al., 1995; Kloeppel & Abrams, 1995; Zotz & Winter, 1996; Grueters, 1998; Miyazawa et al., 1998; Reich et al., 1998a; Bolstad et al., 1999; Craine et al., 1999; Mitchell et al., 1999; Niinemets, 1999; Wright et al., 2001; Meir et al., 2002; Wright & Westoby, 2002; Veneklaas & Poot, 2003; Wright et al., 2004; Tjoelker et al., 2005; Machado & Reich, 2006; Poorter & Bongers, 2006; Wright et al., 2006; Meir et al., 2007; Swaine, 2007; Sendall & Reich, 2013). The database identifies individuals who were primarily responsible for collection of data (often in collaboration with other contributors), and/or who were responsible for deposition of earlier data in TRY. | | Geolocation: | Global | | Temporal coverage: | Current | | Taxonomic coverage: | Plant kingdom (terrestrial vascular plants) | | Field list: | Country, Biome, Site, Latitude, Longitude, Altitude, Atm_Press, Responsible, Species, Family, Genus, PFT_LPJ, PFT_Sheffield, PFT_JULES, PFT_Wright, PFT_JULES2, PFT_Exeter, H.sphere, Temp.class, Aa_sat, gs_sat, Ci_sat, LfT_sat, Rdark_a, LfT_Rdark, Am_sat, Rdark_m, FixedQ10, varQ10, Rdarka_25C_FixedQ10, Rdarkm_25C_FixedQ10, Rdarka_TWQ.T_FixedQ10, Rdarka_25C_varQ10, Rdarkm_25C_varQ10, Rdarka_MeasMonth.T_varQ10, Rdarkm_MeasMonth.T_varQ10, Rdarka_TWQ.T_varQ10, Rdarkm_TWQ.T_varQ10, Leaf_Nm, Leaf_Pm, Leaf_Na, Leaf_Pa, LMA, Vcmax_a_LfT, Vcmax_a_25, Vcmax_m_25, Rdarka:Vcmax_LfT, Rdarka:Vcmax_25C_varQ10, MAT, MeanT_WarmestQtr, Annual_Precip, Precip_Warmest_Qtr, Measuring_Month_MeanT, ai_yr, pet_yr |
| Title: | Community species composition, above ground biomass nutrient contents | | TRY File Archive ID: | 10 | | Rights of use: | Restricted, | | Publication Date: | 2015-05-07 | | Version: | 1 | | Author: | Martin J. Wassen, Utrecht University, PO Box 80115, 3508 TC, Utrecht, NL, email: M.J.Wassen@uu.nl | | Contributors: | | | Reference to publication: | Yuki Fujita, Harry Olde Venterink, Peter M. van Bodegom, Jacob C. Douma, Gerrit W. Heil, Norbert Hölzel, Ewa Jab?o?ska, Wiktor Kotowski, Tomasz Okruszko, Pawe? Pawlikowski, Peter C. de Ruiter & Martin J. Wassen (2014) Low investment in sexual reproduction threatens plants adapted to phosphorus limitation. Nature Volume 505, pages 82–86 doi:10.1038/nature12733 | | Reference to data package: | Yuki Fujita, Harry Olde Venterink, Peter M. van Bodegom, Jacob C. Douma, Gerrit W. Heil, Norbert Hölzel, Ewa Jab?o?ska, Wiktor Kotowski, Tomasz Okruszko, Pawe? Pawlikowski, Peter C. de Ruiter & Martin J. Wassen (2014) Community aboveground biomass, | | DOI: | | | Format: | Zipped archive: data file Excel 2010, documentation included | | File name: | DatasetFujitaEtAl.zip | | Description: | Community weighted mean values of plant traits for 692 plots across Northern Europe and Siberia | | Geolocation: | Northern Europe and Siberia | | Temporal coverage: | Current | | Taxonomic coverage: | | | Field list: | ID, plot, plotcode, country, plotsize, harvestsize, harvest_year, harvest_month, #sp, # redlist, biomass vascular plants, N vascular plants, P vascular plants, K vascular plants, NP vascular plants, NK vascular plants, KP vascular plants, plot_cohort, mowing frequency, mowing season, mowing month, pH, K-limited, exclude_Itors, Bavaria, woody, exclude_all, Canopy height, Leaf mass, Specific leaf area (SLA), Leaf dry matter content (LDMC), Seed mass, Number of seeds, Seed investment, Starting month of flowering, Duration of flowering period, Lateral spread, Reproduction by seeds, Vegetative reproduction, Life span, Plant architecture, N-fixation, C, S, R |
| Title: | San Lorenzo Epiphyte Leaf Traits | | TRY File Archive ID: | 11 | | Rights of use: | Public, | | Publication Date: | 2015-05-21 | | Version: | | | Author: | Gerhard Zotz, University of Oldenburg, Institut für Biologie und Umweltwissenschaften, 26111 Oldenburg, Germany, email: gerhard.zotz@uni-oldenburg.de | | Contributors: | Eduardo Sánchez Delgado, Gunnar Petter, Juliano Sarmento Cabral, Katrin Wagner, Wolfgang Wanek | | Reference to publication: | G Petter, K Wagner, W Wanek, EJ Sánchez Delgado, G Zotz, J Sarmento Cabral, H Kreft in press Functional leaf traits of vascular epiphytes: vertical trends within the forest, intra- and interspecific trait variability, and taxonomic signals. Functional Ecology | | Reference to data package: | Gerhard Zotz, Eduardo Sánchez Delgado, Gunnar Petter, Juliano Sarmento Cabral, Katrin Wagner, Wolfgang Wanek (2015) San Lorenzo Epiphyte Leaf Traits | | DOI: | | | Format: | Zipped archive: data file Excel 2010, documentation included | | File name: | SanLorenzoEpiphyteLeafTraits.zip | | Description: | Leaf trait data of vascular epiphytes as sampled from plants in their natural habitat. This is the original version as used in the publication. The latest version is always in the TRY database. | | Geolocation: | San Lorenzo Canopy Crane Site, Panama, Latitude: 9°17' N, Longitude: 79°58' W | | Temporal coverage: | Current | | Taxonomic coverage: | vascular epiphytes (83 species) out of the following families: Araceae, Aspleniaceae, Bromeliaceae, Clusiaceae, Dryopteridaceae, Gesneriaceae, Hymenophyllaceae, Melastomataceae, Orchidaceae, Piperaceae, Polypodiaceae, Pteridaceae, Rubiaceae | | Field list: | Species, Date, Maturity, Growth_Form, Epiphyte, Climber, Height, LCCmass, delta13C, delta15N, LDMC, LNCmass, Thickness, SLADW, SLAFW, SPAD1, SPAD2, SPAD3 |
| Title: | Functional Traits Trees Golfo Dulce Costa Rica | | TRY File Archive ID: | 12 | | Rights of use: | Public, | | Publication Date: | 2016-11-07 | | Version: | 1 | | Author: | Eduardo Chacon | | Contributors: | Eduardo Chacon | | Reference to publication: | Chacón-Madrigal, E., Wanek, W., Hietz, P., & S. Dullinger. 2018. Traits indicating a conservative resource strategy are weakly related to narrow range size in a group of neotropical trees. Perspectives in Plant Ecology, Evolution, and Systematics, https://doi.org/10.1016/j.ppees.2018.01.003 | | Reference to data package: | | | DOI: | 10.17871/TRY.12 | | Format: | Excel | | File name: | Functional_Traits_Trees_Costa_Rica_Southern_Pacific.xlsx | | Description: | Leaf area, Leaf thickness, Specific Leaf Area, Leaf dry matter content, Leaf Nitrogen Content, Leaf Phosphorus Content, Wood Specific Gravity, Tree height and Diameter for 346 individuals in 35 tropical trees species and environmental variables: Slope, Crown Light exposition. | | Geolocation: | Peninsula de Osa, Costa Rica; 83°34' W; 8°41' N | | Temporal coverage: | March 2015-October 2015 | | Taxonomic coverage: | 34 species in the families: Annonaceae, Boraginaceae, Burseraceae, Clusiaceae, Euphorbiaceae, Fabaceae, Lauraceae, Melastomataceae, Primulaceae, Rubiaceae, Sapotaceae | | Field list: | DATO, Family, Genus, Species, CODE_SP, N.ind, UID, LeafID, ID-Leaf, Leaf_area_(cm˛), Leaf_thickness (mm), Specific_Leaf_Area_(cm˛·g?ą), Leaf_dry_matter_content_(mg·g?ą), Leaf_Nitrogen_Content(%), Leaf_Phosphorus_Content(%), Wood_Specific_Gravity, Tree_height_(m), Slope(degrees), Crown_Light_exposition, Diameter(cm), Longitude, Latitude, Observation |
| Title: | Niwot Trait Data 2016 | | TRY File Archive ID: | 13 | | Rights of use: | Public, | | Publication Date: | 2016-11-09 | | Version: | | | Author: | Adam Chmurzynski | | Contributors: | Adam Chmurzynski | | Reference to publication: | | | Reference to data package: | | | DOI: | | | Format: | Excel | | File name: | Niwot_Trait_Data_20160820.xlsx | | Description: | Data from a project investigating trait differences among species within and outside of Silene acaulis cushions in the Rocky Mountain Tundra | | Geolocation: | 100 square meters | | Temporal coverage: | 2 months | | Taxonomic coverage: | | | Field list: | SPECIES, REPLICATE, FRESH_mass.g, DRY_mass.g, AREA_cm2, SLA, LDMC, HEIGHT_cm |
| Title: | Rhododendron leaf and root economic traits | | TRY File Archive ID: | 14 | | Rights of use: | Public, | | Publication Date: | 2017-05-02 | | Version: | 1 | | Author: | Juliana Medeiros | | Contributors: | | | Reference to publication: | Medeiros JS, JH Burns, J Nicholson, L Rogers and O Valverde-Barrantes. 2017. Decoupled leaf and root carbon economics is a key component in the ecological diversity and evolutionary divergence of deciduous and evergreen lineages of genus Rhododendron (Ericaceae). American Journal of Botany. In Press. | | Reference to data package: | | | DOI: | 10.17871/TRY.14 | | Format: | Zipped archive: data file Excel, documentation included | | File name: | Rhododendron leaf and root economic traits.zip | | Description: | Specific leaf area, specific root length, specific root tip abundance, root link average length and first order root diameter for 120 plants representing 27 species of Rhododendron collected from two botanical gardens. | | Geolocation: | 41.61° N, 81.30° W and 47.29° N, 122.30° W | | Temporal coverage: | June 2014 to June 2015 | | Taxonomic coverage: | Rhododendron | | Field list: | |
| Title: | TRY 4.0 – Site Information | | TRY File Archive ID: | 15 | | Rights of use: | Public, | | Publication Date: | 2017-07-27 | | Version: | 1.0 | | Author: | Gerhard Bönisch, Max Planck Institute for Biogeochemistry, Jena, Germany | | Contributors: | Jens Kattge, Uli Weber (MPI-BGC, Jena, Germany) | | Reference to publication: | Dataset: Kattge, J. et al. (2011b) TRY - a global database of plant traits.
Global Change Biology 17:2905-2935.
Climate: Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.
Climate Classes: M. C. Peel, B. L. Finlayson, and T. A. McMahon (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci., 11, 1633–1644
Soil: FAO/IIASA/ISRIC/ISSCAS/JRC, 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria.
| | Reference to data package: | Kattge, J. et al. (2011) TRY 3.0 – Site Information. Data from: TRY - a global database of plant traits. TRY Downloadable Files Archive https://www.try-db.org/TryWeb/Data.php#6 | | DOI: | | | Format: | Zipped archive: data file Excel 2010, documentation files pdf, data use agreement pdf | | File name: | TRY_Site_Climate_Soil_2017-07-27.zip | | Description: | Climate, soil and biome information for sites in the TRY database:
Climate: WorldClim – Global Climate Data Version 1.4 (release 3): http://www.worldclim.org/ accessed 2011/11/10
Soil: HWSD Harmonized World Soil Database v1.2 http://www.iiasa.ac.at/Research/LUC/External-World-soil-database/HTML
Accessed: 2011/11/10
BIOME: M. C. Peel, B. L. Finlayson, and T. A. McMahon (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci., 11, 1633–1644
| | Geolocation: | Global | | Temporal coverage: | Current | | Taxonomic coverage: | Not applicable | | Field list: | LON_site, LAT_site, ObservationId, TempAnnMean_DegC, PrecipAnnMean_mm, TempMean01, TempMean02, TempMean03, TempMean04, TempMean05, TempMean06, TempMean07, TempMean08, TempMean09, TempMean10, TempMean11, TempMean12, PrecipMean01, PrecipMean02, PrecipMean03, PrecipMean04, PrecipMean05, PrecipMean06, PrecipMean07, PrecipMean08, PrecipMean09, PrecipMean10, PrecipMean11, PrecipMean12, Isothermality, TemperatureSeasonality, KoeppenGeigerID, AWC_mm, S_Clay_%, S_Gravel_%, S_OC_%, S_Sand_%, S_Silt_%, T_Clay_%, T_Gravel_%, T_OC_%, T_Sand_%, T_Silt_% |
| Title: | fine root traits of 141 Central European grassland species | | TRY File Archive ID: | 16 | | Rights of use: | Public, | | Publication Date: | 2017-08-15 | | Version: | | | Author: | Joana Bergmann, Freie Universität Berlin | | Contributors: | Matthias C. Rillig, Stefan Hempel, Masahiro Ryo (Freie Universität Berlin); Daniel Prati (University of Bern) | | Reference to publication: | Root traits are more than analogues of leaf traits: the case for diaspore mass Joana Bergmann, Masahiro Ryo, Daniel Prati, Stefan Hempel, Matthias C. Rillig DOI:10.1111/nph.14748 | | Reference to data package: | | | DOI: | 10.17871/TRY.16 | | Format: | Excel | | File name: | grassland roottraits.xlsx | | Description: | fine root traits of 141 Central European grassland species measured under common conditions in the greenhouse | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | species, ALLO, fineL, RAD, RTD, SRL, SRSA, SRV |
| Title: | 15 traits of 34 hebaceous species in Sherbrooke | | TRY File Archive ID: | 17 | | Rights of use: | Public, | | Publication Date: | 2018-01-18 | | Version: | | | Author: | Li, Yuanzhi | | Contributors: | Shipley B., Li Y. | | Reference to publication: | Community divergence and convergence along experimental gradients of stress and disturbance. Ecology (2018). Accepted | | Reference to data package: | | | DOI: | 10.17871/TRY.17 | | Format: | Excel | | File name: | 15 traits of 34 hebaceous species in Sherbrooke.xlsx | | Description: | An experimental system consisting of 24 mesocosms along gradients of stress and disturbance were maintained outside at the University of Sherbrooke, Quebec, Canada since 2009. Seeds of 30 herbaceous species were mixed and evenly broadcast over the soil surface of each mesocosm at begining. After broadcasting, we allowed natural colonization. In 2015, We grew 5 individuals for each of the 34 most abundant species that have ever appeared in the mesocosms during the years of plant succession. After one growing season, we measured15 functional traits on each grown individual. The mean trait values of 5 individuals for each species were given here. More details of the data and experiiments were given in our paper entitled "Community divergence and convergence along experimental gradients of stress and disturbance.” | | Geolocation: | Canada | | Temporal coverage: | 2015 | | Taxonomic coverage: | | | Field list: | Species, Vegetative height, Total biomass, Leaf thickness, Leaf area, Leaf dry matter content, Specific leaf area, Leaf carbon concentration, Leaf nitrogen concentration, Maximum photosynthesis rate, Stem specific density, Stem dry matter content, Specific root length, Root biomass, Seed mass, Seed sphericity |
| Title: | Trait and biomass data 2014 and 2015 of the BE LOW project | | TRY File Archive ID: | 18 | | Rights of use: | Public, | | Publication Date: | 2018-04-26 | | Version: | | | Author: | Bruehlheide, Helge | | Contributors: | Bruehlheide, Helge | | Reference to publication: | Herz, K., Dietz, S., Haider, S., Jandt, U., Scheel, D. & Bruelheide, H. (2017): Drivers of intraspecific trait variation of grass and forb species in German meadows and pastures. – Journal of Vegetation Science 28: 705–716. Doi: 10.1111/jvs.12534. Herz, K., Dietz, S., Haider, S., Jandt, U., Scheel, D. & Bruelheide, H. (2017): Predicting individual plant performance in grasslands. – Ecology and Evolution 7: 8958–8965. DOI: 10.1002/ece3.3393 | | Reference to data package: | | | DOI: | 10.17871/TRY.18 | | Format: | Excel | | File name: | Data harvest BELOW 2014+2015_for TRY_HB.xlsx | | Description: | | | Geolocation: | | | Temporal coverage: | 2014, 2015 | | Taxonomic coverage: | | | Field list: | Plot name, Rechtswert, Hochwert, Biodiversity Exploratory, Species short name, Life form, Year of measurement, Week of measurement, Fresh mass roots fraction used for trait analysis, Fresh mass roots scanned fraction, Fresh mass roots fraction used for exudation, Fresh mass roots total, Dry mass roots fraction used for trait analysis, Dry mass roots total, Fresh mass leaves, Fresh mass leaves scanned fraction, Dry mass leaves, Fresh mass shoots, Dry mass shoots, Dry mass aboveground biomass, Fresh mass total biomass, Dry mass total biomass, Dry mass total biomass, Root volume, Leaf area, Root shoot ratio, Specific leaf area, Leaf dry matter concentration, Leaf area ratio, Root mass per volume, Root dry matter concentration, Root carbon concentration, Root nitrogen concentration, Root carbon to nitrogen ratio, Root phosphorus concentration, Root potassium concentration, Root magnesium concentration, Root calcium concentration, Root phosphorus concentration, Root potassium concentration, Root magnesium concentration, Root calcium concentration, Diameter in NS direction, Diameter in EW direction, Plant height, Plant height, Number of leaves, Number of flowers, Leaf carbon concentration predicted from NIRS, Leaf nitrogen concentration predicted from NIRS, Leaf potassium concentration predicted from NIRS, Leaf calcium concentration predicted from NIRS, Leaf magnesium concentration, Leaf dry matter concentration predicted from NIRS |
| Title: | Yasuni Ecuador Leaf Drought Tolerance and Mechanical Toughness | | TRY File Archive ID: | 19 | | Rights of use: | Restricted, | | Publication Date: | 2018-11-12 | | Version: | | | Author: | McFadden, I.R | | Contributors: | | | Reference to publication: | McFadden, I.R., M.K. Bartlett, T. Wiegand, B. Turner, L. Sack, R. Valencia and N.J.B. Kraft. Disentangling the functional trait correlates of spatial aggregation in tropical forest trees. Ecology, accepted | | Reference to data package: | | | DOI: | 10.17871/TRY.19 | | Format: | csv | | File name: | 95_McFadden_Yasuni_traits_for_TRY_2018.csv | | Description: | Leaf drought tolerance and leaf mechanical toughness trait measurements for trees growing within the Yasuni CTFS-ForestGEO plot in Yasuni National Park, Eastern Ecuador. Drought tolerance traits, N=80: Leaf osmotic potential (Units: mmol) Leaf turgor loss point (Units: MPa) Mechanical toughness traits, N=454: Leaf force to punch (Units: N/mm) Leaf specific force to punch (Units: N/mm^2) | | Geolocation: | 25ha (western half) of Yasuni CTFS-ForestGEO tree plot in Yasuni National Park, Eastern Ecuador | | Temporal coverage: | 2014 - 2016 | | Taxonomic coverage: | Tropical angiosperms | | Field list: | Species, Latitude, Longitude, Altitude, Exposition, Maturity, PlantGrowthForm, HealthStatus, LeafForceToPunch, Units_LeafForceToPunch, SamplingDate_LeafForceToPunch, LeafSpecificForceToPunch, Units_LeafSpecificForceToPunch, SamplingDate_LeafSpecificForceToPunch, LeafOsmoticPotential, Units_LeafOsmoticPotential, SamplingDate_LeafOsmoticPotential, LeafTurgorLossPoint, Units_LeafTurgorLossPoint, SamplingDate_LeafTurgorLossPoint |
| Title: | Simova et al. Journal of Ecology dataset | | TRY File Archive ID: | 20 | | Rights of use: | Public, | | Publication Date: | 2019-02-19 | | Version: | | | Author: | Irena Šímová, Charles University, Center for Theoretical Study, Jilska 1, Praha 1, 11000, Czech Republic | | Contributors: | | | Reference to publication: | Šímová, I., Sandel, B., Enquist, B.J., Michaletz, S.T., Kattge, J., Violle, C., McGill, B.J., Blonder, B., Engemann, K., Peet, R.K., Wiser, S.K., Morueta-Holme, N., Boyle, B., Kraft, N.J.B., Svenning, J-C. (2019) The relationship of woody plant size and leaf nutrient content to large-scale productivity for forests across the Americas Journal of Ecology | | Reference to data package: | | | DOI: | | | Format: | csv in rar | | File name: | 105_Simova_etal_data.rar | | Description: | The raster map of maximum plant height and aggregated data frame associated with Šímová et. al. (2019) Journal of Ecology paper entitled "The relationship of woody plant size and leaf nutrient content to large-scale productivity for forests across the Americas" | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | n/a |
| Title: | Iranian plant traits database | | TRY File Archive ID: | 21 | | Rights of use: | Restricted, | | Publication Date: | 2019-03-15 | | Version: | 1 | | Author: | Mehdi Abedi, Department of Range Management, Faculty of Natural resources, Tarbiat Modares University | | Contributors: | Khadijeh Bahalkeh, Seyed Vria Hosseini, Zahra Farahani, Hamed Abdoli, Elnaz Zaki | | Reference to publication: | | | Reference to data package: | | | DOI: | 10.17871/TRY.21 | | Format: | xlsx in zip archive | | File name: | IranianTraits.zip | | Description: | Different plant traits including leaf traits, root traits, plant structure traits, biomass | | Geolocation: | Iran | | Temporal coverage: | Iranian plant traits database | | Taxonomic coverage: | Different families | | Field list: | n/a |
| Title: | Yasuni Ecuador Leaf ITV | | TRY File Archive ID: | 22 | | Rights of use: | Public, | | Publication Date: | 2019-03-21 | | Version: | | | Author: | Nathan Kraft, Department of Ecology and Evolutionary Biology, 621 Charles E. Young Drive South, Los Angeles CA, United States | | Contributors: | | | Reference to publication: | C. Fortunel, I.R. McFadden, R. Valencia & N.J.B. Kraft. 2019. Neither species geographic range size, climatic envelope nor intraspecific leaf trait variability capture habitat specialization in a hyperdiverse Amazonian forest. Biotropica. in press | | Reference to data package: | | | DOI: | 10.17871/TRY.22 | | Format: | csv | | File name: | 108_Kraft_McFadden_Yasuni_ITV_for_TRY_2019.csv | | Description: | Specific leaf area and leaf area trait measurements for trees growing within the Yasuni CTFS-ForestGEO plot in Yasuni National Park, Eastern Ecuador. The goal was to compare ITV in these traits in habitat specialists and generalists in the plot. Reference: C. Fortunel, I.R. McFadden, R. Valencia & N.J.B. Kraft. 2019. Neither species geographic range size, climatic envelope nor intraspecific leaf trait variability capture habitat specialization in a hyperdiverse Amazonian forest. Biotropica. in press | | Geolocation: | 25ha (western half) of Yasuni CTFS-ForestGEO tree plot in Yasuni National Park, Eastern Ecuador | | Temporal coverage: | August 2013 | | Taxonomic coverage: | Tropical angiosperms | | Field list: | Species, Latitude, Longitude, Altitude, Exposition, Maturity, PlantGrowthForm, SpecificLeafArea, Units_SpecificLeafArea, SamplingDate_SpecificLeafArea, LeafArea, Units_LeafArea, SamplingDate_LeafArea |
| Title: | TRY Primary Data Source References | | TRY File Archive ID: | 23 | | Rights of use: | Public, | | Publication Date: | 2019-03-21 | | Version: | 1 | | Author: | Jens Kattge | | Contributors: | Walther G., Kattge J., Boenisch G. | | Reference to publication: | Walther G., Kattge J., Boenisch G. (2019) References to primary data sources in the TRY Database. | | Reference to data package: | | | DOI: | | | Format: | text and xlsx | | File name: | TRY_primary_data_source_references_2019_03_01.zip | | Description: | The TRY Database (https://www.try-db.org, Kattge et al. 2011 GCB) contains plant trait data from several integrated databases, e.g. GLOPNET (http://bio.mq.edu.au/~iwright/glopian.htm), LEDA (https://uol.de/en/landeco/research/leda/), BIOLFLOR (https://www.ufz.de/biolflor/index.jsp) or the Seed Information Database - SID (http://data.kew.org/sid/). Each of these databases provides data from many original sources. The references to the original sources are usually provided, but often in a very condensed and not standardized format. This file contains a consolidated version of these references and the IDs to link the consolidated references to the data in the TRY database. Consider this as a working file, as for now it provides the consolidated original references up to TRY version 4.0. The references will be extended and improved in the future to cover the additional original references in later versions of the TRY database and in a more formalized format. | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | n/a |
| Title: | TRY 5.0 – Site Information | | TRY File Archive ID: | 24 | | Rights of use: | Public, | | Publication Date: | 2019-03-25 | | Version: | 2.0 | | Author: | Gerhard Bönisch, Max Planck Institute for Biogeochemistry, Jena, Germany | | Contributors: | Jens Kattge, Uli Weber (MPI-BGC, Jena, Germany) | | Reference to publication: | Dataset: Kattge, J. et al. (2011b) TRY - a global database of plant traits.
Global Change Biology 17:2905-2935.
Climate: Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.
Climate Classes: M. C. Peel, B. L. Finlayson, and T. A. McMahon (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci., 11, 1633–1644
Soil: FAO/IIASA/ISRIC/ISSCAS/JRC, 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria.
| | Reference to data package: | | | DOI: | | | Format: | Zipped archive: data file Excel 2010 and txt, documentation files pdf, data use agreement pdf | | File name: | TRY_5_Site_Climate_Soil_2021-05-25.zip | | Description: | Climate, soil and biome information for sites in the TRY database:
Climate: WorldClim – Global Climate Data Version 1.4 (release 3): http://www.worldclim.org/ accessed 2011/11/10
Soil: HWSD Harmonized World Soil Database v1.2 http://www.iiasa.ac.at/Research/LUC/External-World-soil-database/HTML
Accessed: 2011/11/10
BIOME: M. C. Peel, B. L. Finlayson, and T. A. McMahon (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci., 11, 1633–1644
| | Geolocation: | Global | | Temporal coverage: | Current | | Taxonomic coverage: | Not applicable | | Field list: | LON_site, LAT_site, ObservationId, TempAnnMean_DegC, PrecipAnnMean_mm, TempMean01, TempMean02, TempMean03, TempMean04, TempMean05, TempMean06, TempMean07, TempMean08, TempMean09, TempMean10, TempMean11, TempMean12, PrecipMean01, PrecipMean02, PrecipMean03, PrecipMean04, PrecipMean05, PrecipMean06, PrecipMean07, PrecipMean08, PrecipMean09, PrecipMean10, PrecipMean11, PrecipMean12, Isothermality, TemperatureSeasonality, KoeppenGeigerID, AWC_mm, S_Clay_%, S_Gravel_%, S_OC_%, S_Sand_%, S_Silt_%, T_Clay_%, T_Gravel_%, T_OC_%, T_Sand_%, T_Silt_% |
| Title: | TRY Database version 5.0: z-scores for outlier detection | | TRY File Archive ID: | 25 | | Rights of use: | Public, | | Publication Date: | 2019-03-26 | | Version: | | | Author: | Jens Kattge, Max Planck Institute for Biogeochemistry, Hans Knöll Str. 10, 07745 Jena, Germany | | Contributors: | Jens Kattge, Gerhard Boenisch | | Reference to publication: | Kattge J., Boenisch G. (2019) TRY Database version 5.0: z-scores for outlier detection | | Reference to data package: | | | DOI: | | | Format: | Tab delimited text in zip archive | | File name: | TRY5_OutlierDetection.zip | | Description: | In the context of data curation to generate a new version of the TRY database, the units of numerical traits with more than 1000 records are standardized, obvious errors are corrected, and duplicates and outliers are flagged. | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | ObsDataID, OlSpCount, OlSp, OlGeCount, OlGe, OlFaCount, OlFa, OlAllCount, OlAll, OlGwCount, OlGw |
| Title: | Functional trait data Colombian dry Forest trees | | TRY File Archive ID: | 26 | | Rights of use: | Public, | | Publication Date: | 2019-04-04 | | Version: | | | Author: | Evert Thomas | | Contributors: | | | Reference to publication: | Thomas, E, Carolina Alcazar, Luis Gonzalo Moscoso H., Luis Fernando Osorio, Beatriz Salgado, Mailyn Gonzalez, Mauricio Parra, Michele Bozzano, Judy Loo, Riina Jalonen, Wilson Ramirez (2017) The importance of species selection and seed sourcing in forest restoration for enhancing adaptive potential to climate change: Colombian tropical dry forest as a model, CBD Technical series 89:122-134 | | Reference to data package: | | | DOI: | | | Format: | Tab delimited text | | File name: | 120_Functional trait data Colombian dry forest trees.csv | | Description: | leaf, wood and architecture traits of 765 individuals of 11 tree species sampled at >15 sites across seasonally dry topical forest species in Colombia. Soil sample data is also available on request | | Geolocation: | Colombian seasonally dry forest (country-wide) | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | x, y, Municipality, collection data, BioRegion, Site, species, individualnumberpersite, ColectionNumber, NumberSoilSample, DBH.cm., Canopy.d1.m., Canopy.d2..m., TotalHeight, HeightFirstbranch, Leafsample, leaffreshweight_g, leafdryweight_g, Foliararea_cm2, petiolearea, vol_core_cm3, dryweight_core_g, wooddensity_core_g/cm3, vol_branch_cm3, dryweight_branch_g, wooddensity_branch |
| Title: | Functional trait data Colombian dry Forest trees | | TRY File Archive ID: | 27 | | Rights of use: | Public, | | Publication Date: | 2019-04-04 | | Version: | | | Author: | Evert Thomas | | Contributors: | | | Reference to publication: | Thomas, E, Carolina Alcazar, Luis Gonzalo Moscoso H., Luis Fernando Osorio, Beatriz Salgado, Mailyn Gonzalez, Mauricio Parra, Michele Bozzano, Judy Loo, Riina Jalonen, Wilson Ramirez (2017) The importance of species selection and seed sourcing in forest restoration for enhancing adaptive potential to climate change: Colombian tropical dry forest as a model, CBD Technical series 89:122-134 | | Reference to data package: | | | DOI: | | | Format: | Tab delimited text | | File name: | 126_Functional trait data Colombian dry forest trees.csv | | Description: | leaf, wood and architecture traits of 765 individuals of 11 tree species sampled at >15 sites across seasonally dry topical forest species in Colombia. Soil sample data is also available on request | | Geolocation: | Colombian seasonally dry forest (country-wide) | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | x, y, Municipality, collection data, BioRegion, Site, species, individualnumberpersite, ColectionNumber, NumberSoilSample, DBH.cm., Canopy.d1.m., Canopy.d2..m., TotalHeight, HeightFirstbranch, Leafsample, leaffreshweight_g, leafdryweight_g, Foliararea_cm2, petiolearea, vol_core_cm3, dryweight_core_g, wooddensity_core_g/cm3, vol_branch_cm3, dryweight_branch_g, wooddensity_branch |
| Title: | Lariz Occidentalis branch section specific leaf area and dry mass | | TRY File Archive ID: | 28 | | Rights of use: | Restricted, | | Publication Date: | 2019-04-04 | | Version: | | | Author: | Andrew Nelson, 75 Perimeter Dr. MS 1133, University of Idaho, Moscow, Idaho 83844-1133 | | Contributors: | | | Reference to publication: | Williams, G.M. and Nelson, A.S. 2018. Spatial variation in specific leaf area and horizontal distribution of leaf area in juvenile western larch (Larix occidentalis Nutt.). Trees – Structure and Function. 32(6): 1621-1631. DOI: 10.1007/s00468-018-1738-4 | | Reference to data package: | | | DOI: | 10.17871/TRY.28 | | Format: | xlsx | | File name: | 131_horzladata_TRYdatabase.xlsx | | Description: | Dataset contains specific leaf area, foliage dry mass, and woody branch dry mass for 10 cm horizontal sections of branches sampled on juvenile Larix occidentalis trees in Idaho. Branches were randomly selected throughout the crown of each tree and also represent a vertical gradient from the bottom to the top of the living crown. Additional metrics of branch diameter, branch length, radial quadrat of the branch connection from the main stem, stem diameter and height are included | | Geolocation: | | | Temporal coverage: | 2016 | | Taxonomic coverage: | Larix | | Field list: | Date, Species, Site Name, Lat, Long, Exposition, Maturity, Approximate Age (yrs), Health, Tree Number, Diamter at breast height (1.37 m from the ground; cm), Stem base diameter (15 cm from the ground; cm), Dimatere at the base of the live crown (cm), Total tree height (cm), Length of the live crown (cm), Branch Radial quadrat, Vertical length from tree base to branch junction (cm), Branch diameter (5 cm from junction with main stem; mm), Total branch length (cm), Branch length to start of foliage (cm), Brach hoizontal distance to start of branch section (cm), Specific leaf area (cm2/g), Foliage dry mass (g), Woody dry mass (g) |
| Title: | Plant traits along NPK gradients | | TRY File Archive ID: | 29 | | Rights of use: | Restricted, | | Publication Date: | 2019-05-09 | | Version: | | | Author: | Dr. Vanessa Minden, Landscape Ecology Group, Insitute of Biology and Envrionmental Sciences, University of Oldenburg, D-26126 Oldenburg, Germany | | Contributors: | | | Reference to publication: | Minden V, olde Venterink H (2019) Plant traits and species interactions along gradients of N, P and K availabilities. Functional Ecology, status 04-30-2019: manuscript accepted | | Reference to data package: | | | DOI: | 10.17871/TRY.29 | | Format: | xlsx | | File name: | 164_TRY Database - NPK Experiment.xlsx | | Description: | | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | lfd, Species , Exposition, Maturity, Plant Growth Form, Life Span, Start experiment, End experiment, Treatment: Nutrient type, Treatment: Supply Rate, Treatment: Competition, Pots, Total Biomass, Relative Grwoth Rate of Total Biomass, % dead leaves, Root Mass Ratio, Total Root Length, Specific Root Length, Root Branching Index, Root Tissue Density, Diameter, Area, Root phosphomonoesterase activity (PME activity), Specific Leaf Area, Chlorophyll |
| Title: | Thermo-Mediterranean species along Greece | | TRY File Archive ID: | 30 | | Rights of use: | Restricted, | | Publication Date: | 2019-06-03 | | Version: | | | Author: | Chrysanthi Michelaki, Biodiversity Conservation Laboratory, Department of Environment, University of the Aegean, 81100, Mytilene, Lesbos, Greece | | Contributors: | | | Reference to publication: | Chrysanthi Michelaki, Nikolaos M. Fyllas, Alexandros Galanidis, Maria Aloupi, Eleftherios Evangelou, Margarita Arianoutsou, Panayiotis G. Dimitrakopoulos, 2019, An integrated phenotypic trait-network in thermo-Mediterranean vegetation describing alternative, coexisting resource-use strategies, Science of The Total Environment, Volume 672, Pages 583-592, https://doi.org/10.1016/j.scitotenv.2019.04.030. | | Reference to data package: | | | DOI: | 10.1016/j.scitotenv.2019.04.030 | | Format: | xlsx | | File name: | 184_Michelaki-Mediterranean.xlsx | | Description: | Eleven plant functional traits, reflecting whole-plant economics (e.g. construction costs, hydraulics, defences, water storage capacity) from individuals of nine, dominant, lowland, thermo-Mediterranean species with contrasting life history strategies across a range of environmental conditions along Greece | | Geolocation: | Greece | | Temporal coverage: | Growing season (May to June) | | Taxonomic coverage: | thermo-Mediterranean species | | Field list: | Species, Latitude, Longitude, Altitude, Aspect, Slope, HeatLoad, WHC, sand, clay, silt, SOM, SNC, SPC, SKC, SMgC, pH, EC, Sampling.Date, Exposition, Maturity, Plant Growth Form, Health status, SLA, LDMC, LeafThickness, LeafN, LeafP, LeafC, LeafArea, LeafWidth, LeafLength, LeafArea:BasalArea, XylemDensity, Leaflets-per-Leaf, SLeafletA, LeafletDMC, LeafletArea, LeafletWidth, LeafletLength, LeafletArea:BasalArea |
| Title: | Functional traits related to flammability | | TRY File Archive ID: | 31 | | Rights of use: | Restricted, | | Publication Date: | 2019-06-04 | | Version: | | | Author: | anacaro.santacruz@gmail.com | | Contributors: | | | Reference to publication: | Dataser owner: Ana Carolina Santacruz-García (1) Sandra Bravo (2) (1) Consejo Nacional de Investigaciones Científicas y Técnicas CONICET and Instituto de Silvicultura y Manejo de Bosques –INSIMA. Universidad Nacional de Santiago del Estero –UNSE. Belgrano 1912, Santiago del Estero (Capital), Argentina. anacaro.santacruz@gmail.com. Tel: +54 9 385 474 4264. Corresponding author. (2) Instituto de Silvicultura y Manejo de Bosques –INSIMA. Universidad Nacional de Santiago del Estero –UNSE. Belgrano 1912, Santiago del Estero (Capital), Argentina. sandrabrav@gmail.com This dataset has not been published yet, but in a future, it will be published. Functional traits measured are related to flammability (SLA,LA,Foliar water content, Leaf litter, Volatile compound contents, foliar persistence and Growth habit. Mature and healthy individual plants of each species were randomly sampled in each site. | | Reference to data package: | | | DOI: | | | Format: | xlsx | | File name: | 188_Matriz RF Totales 2017_Marzo S2.xlsx | | Description: | | | Geolocation: | Semiarid Chaco Region (Santiago del Estero, Argentina) | | Temporal coverage: | 2017: Beginning and ending of fire season (May and October, respectively); Beginning and ending of rainy season (December and March, respectively) | | Taxonomic coverage: | | | Field list: | Spp, Mes, Mes #, Repetición (Sitio), # ind, Altura total (m), Alt min. Canop (m), Perímetro (cm), DAP, AF, AFE, CAF (gH2O/ghoja), Hojarasca, Volátiles, GI, Ramas muertas (%), Ramas muertas (Categoría), Fenología foliar, Forma de crecimiento |
| Title: | MediterraneanRoadcutTraitData | | TRY File Archive ID: | 32 | | Rights of use: | Public, | | Publication Date: | 2019-06-06 | | Version: | | | Author: | Valerie Raevel, 241 rue de verdun 80000 Amiens, France | | Contributors: | | | Reference to publication: | Raevel, V., Violle, C., & Munoz, F. (2012). Mechanisms of ecological succession: insights from plant functional strategies. Oikos, 121(11): 1761–1770. doi:10.1111/j.1600-0706.2012.20261.x Raevel, V., Munoz, F., Pons, V., Renaux, A., Martin, A., & Thompson, J.D. (2013). Changing assembly processes during a primary succession of plant communities on Mediterranean roadcuts. Journal of Plant Ecology, 6(1):19-28. https://doi.org/10.1093/jpe/rts011 | | Reference to data package: | | | DOI: | | | Format: | xlsx | | File name: | 189_MediterraneanRoadcutTraitData.zip | | Description: | Primary succession on mediterranean vertical outcrops after roadcut,Montpellier district, France | | Geolocation: | Montpellier district, France | | Temporal coverage: | 2008-2009 | | Taxonomic coverage: | Vascular Plants | | Field list: | TaxCode, TaxName, Authorities, ScientificName, Family, Rank, H, SLA, LDMC, SM, FS, DM, LS, LF |
| Title: | Herbaceous leaf traits database from Mediterranean serpentine and non-serpentine soils | | TRY File Archive ID: | 33 | | Rights of use: | Restricted, | | Publication Date: | 2019-06-13 | | Version: | | | Author: | George C. Adamidis, 1) Biodiversity Conservation Laboratory, Department of Environment, University of the Aegean, 81100, Mytilene, Lesbos, Greece. 2) Institute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, 3012, Bern, Switzerland. | | Contributors: | | | Reference to publication: | Adamidis GC, Kazakou E, Fyllas NM, Dimitrakopoulos PG (2014) Species adaptive strategies and leaf economic relationships across serpentine and non-serpentine habitats on lesbos, eastern Mediterranean. PLoS One 9:e96034. doi:10.1371/journal.pone.0096034 | | Reference to data package: | | | DOI: | | | Format: | zipped xlsx | | File name: | 198_Herbaceous leaf traits database from Mediterranean serpentine and non-serpentine soils.zip | | Description: | 6 core "leaf economic" functional traits, from 17 dominant herbaceous Mediterranean species, presenting contrasting adaptive strategies across serpentine and non-serpentine habitats on Lesbos Island, Greece. | | Geolocation: | | | Temporal coverage: | May-June 2008 | | Taxonomic coverage: | Mediterranean herbaceous species | | Field list: | File1: Species, Family, Latitude (N), Longitude (E), Altitude (masl), Orientation, Slope (%), Exposistion, Substrate, Maturity, Plant growth form, Individual, Leaf length (cm), Leaf width (cm), LDMC (mg g-1), SLA (m2 kg-1); File2: Species, Family, Latitude (N), Longitude (E), Altitude (masl), Orientation, Slope (%), Exposistion, Substrate, Maturity, Plant growth form, Replicate, LNC(%), LCC(%), Comments/Methods |
| Title: | Moravcova-Pysek Reproductive traits of neophyte in the Czech Republic | | TRY File Archive ID: | 34 | | Rights of use: | Restricted, | | Publication Date: | 2019-06-25 | | Version: | | | Author: | Lenka Moravcova, Institute of Botany of the Czech Academy of Sciences, Pruhonice, Zamek 1, 252 43 | | Contributors: | | | Reference to publication: | Moravcová L., Pyšek P., Jarošík V., Havlí?ková V. & Zákravský P. (2010): Reproductive characteristics of neophytes in the Czech Republic: traits of invasive and non-invasive species. – Preslia 82: 365–390. [PDF] | | Reference to data package: | | | DOI: | | | Format: | xlsx | | File name: | 223_Moravcova_Pysek _Reproductive characteristics of Neophyte in the Czech Republic.xlsx | | Description: | Measured reproductive traits of plant neophyte species in the Czech Republic | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | Species, Family, Life history, Invasive, Propagule, Loc no, Plant propagule number (per shoot), Population propagule number (per m2), n (Propagule measures), Propagule length (mm), Propagule width (mm), Propagule length with pappus, Propagule lenght/weight ratio, n (Propagule weight), Weight of 25 propagules (g), n (Buoyancy), Buoyancy (Ft100, hrs), n (Epizoochory), Epizoochory (%, range), n (Anemochory: terminal velocity), Anemochory: terminal velocity (m/s), n (Germination, Total Germination (%, mean, range), Seedling RGR (g.g-1.day-1, mean±95% c.i.), n (Seedling establishment), Seedling establishment: (%, mean, range) |
| Title: | Arable weed trait data set | | TRY File Archive ID: | 35 | | Rights of use: | Restricted, | | Publication Date: | 2019-06-25 | | Version: | | | Author: | Jana Bürger, University of Rostock, Chair of Crop Health, Satower Straße 48, D-18057 Rostock | | Contributors: | | | Reference to publication: | | | Reference to data package: | | | DOI: | 10.17871/TRY.35 | | Format: | zipped xlsx | | File name: | 230_Arable_Weed_Traits.zip | | Description: | The data set is a collection of seed and plant traits of arable weed species common in Northern Germany. The measurements mostly took place at the University of Rostock. The plant traits were measured in four different experiments. Two climate chamber experiments were targeted at germination. Early growth was monitored in a green house experiment. Growth and sensitivity to competition for light were analysed with a garden plot experiment | | Geolocation: | North-Eastern Germany | | Temporal coverage: | 2016-2018 | | Taxonomic coverage: | | | Field list: | various sheets in multiple files |
| Title: | JenaExperimentTraits | | TRY File Archive ID: | 36 | | Rights of use: | Public, | | Publication Date: | 2019-06-27 | | Version: | | | Author: | Christiane Roscher | | Contributors: | Christiane Roscher christiane.roscher@ufz.de UFZ, Helmholtz Centre for Environmental Research, Physiological Diversity, Leipzig, Germany; and iDiv, German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig, Leipzig, Germany; Annett Lipowsky A.Lipowsky@IAB-Weimar.de Department of Evolutionary Biology and Environmental Studies and Zurich-Basel Plant Science Center, University of Zurich, Zurich, Switzerland; and Max Planck Institute for Biogeochemistry, Jena, Germany; Marlén Gubsch mgubsch@gmail.com Institute of Agricultural Sciences, ETH Zurich, Zurich, Switzerland; Nina Buchmann nina.buchmann@usys.ethz.ch Institute of Agricultural Sciences, ETH Zurich, Zurich, Switzerland; Ernst-Detlef Schulze dschulze@bgc-jena.mpg.de Max Planck Institute for Biogeochemistry, Jena, Germany; Bernhard Schmid bernhard.schmid@ieu.uzh.ch Department of Geography, University of Zurich, Zurich, Switzerland | | Reference to publication: | for grasses: Gubsch M, Buchmann N, Schmid B, Schulze E-D, Lipowsky A, Roscher C (2011) Differential effects of plant diversity on functional trait variation of grass species. Annals of Botany 107, 157-169. For herbs: Lipowsky A, Roscher C, Schumacher J, Michalski SG, Gubsch M, Buchmann N, Schulze E-D, Schmid B (2015) Plasticity of functional traits of forb species in response to biodiversity. Perspectives in Plant Ecology, Evolution and Systematics 17, 66-77. For legumes: Roscher C, Schmid B, Buchmann N, Weigelt A, Schulze E-D (2011) Legume species differ in the responses of their functional traits to plant diversity. Oecologia 165, 437-452. All species: Roscher C, Schumacher J, Lipowsky A, Gubsch M, Weigelt A, Schmid B, Buchmann N, Schulze E-D (2018) Functional groups differ in trait means, but not in trait plasticity to species richness in local grassland communities. Ecology 99, 2295-2307. | | Reference to data package: | | | DOI: | 10.17871/TRY.36 | | Format: | zipped xlsx | | File name: | 234_JenaExperimentTraits.zip | | Description: | Description of sampling and measurements Single shoots were the basic unit for all measurements. Samples were taken at peak biomass before first mowing (late May) and second mowing (late August) of the experimental grasslands. Several shoots per species and plot of the biodiversity experiment were randomly selected along a line transect, excluding the outer 50 cm from the plot margin. To avoid sampling from a single genet twice, the minimum distance between sampled modules was at least 50 cm. Vegetative and reproductive shoots were sampled in cases when shoots of different developmental stages were available. In the field, module height and rosette diameter were measured (if applicable). Shoots were cut off at ground-level, put in sealed plastic bags to prevent dehydration and transported in a cool box into the laboratory. In the laboratory, stretched total module length, length of the main axis, length of up to six internodes, length of three leaves in the upper shoot part (to derive maximum leaf length and average leaf length) and stem diameter were measured and the number of secondary axes per shoot was counted (first order and higher-order axes). A leaf area meter (LI-3100 Area Meter or LI-3000C Area Meter equipped with LI3050C transparent belt conveyor accessory, Li-COR, Lincoln, NE, USA) was used to determine the length and area of three to four fully developed leaf blades per module. Plant material was separated into leaf blades including petioles in case of forbs, supporting tissue (leaf sheaths in case of grasses and stems; later referred to as stems), inflorescences and dead tissue, dried for 48 h at 70°C and weighed. For subsequent chemical analyses, the samples of each species were pooled per plot of the biodiversity experiment and season and ground to a fine powder. Nitrogen concentrations as well as nitrogen and carbon isotope ratios (?15N and ?13C, respectively) were determined from the measured leaf blades with an isotope-ratio mass spectrometer (IRMS, Finnegan MAT Delta plus XP or Delta C prototype IRMS, Bremen, Germany). Sample ratios of 15N/14N were expressed relative to that of atmospheric N2 as international standard, and sample ratios of 13C/12C were expressed relative to that of the Vienna Pee Dee Belemnite (VPDB) international standard. Values are given in per-mill relative to the standards. The residual plant material was analyzed for nitrogen and carbon concentrations with an elemental analyzer (Flash EA 1112, Thermo Italy, Rhodano, Italy; or Vario EL Element Analyzer, Elementar, Hanau, Germany) to assess total shoot nitrogen and carbon concentrations per shoot. | | Geolocation: | Jena Experiment; Thuringia, Germany; 50°55` N, 11°35` E, 130 m a.s.l. | | Temporal coverage: | 2006-2009 | | Taxonomic coverage: | | | Field list: | File1: Species, Stage, Day, Month, Year, Exposition, Shoot.Height, Shoot.Length, Length.Stolon, no.Internode.Stolon, Length.Internode.max.Stolon, Diameter.Rosette, Diameter.Axis.Shoot, Length.Infl, Length.Internode.max.Shoot, no.SecAx.FirstOrder, no.SecAx.tot, Length.Leaf.max, SLA, SMF; File2: Species, Stage, Day, Month, Year, Exposition, d15N.Leaf, d13C.Leaf, N.Leaf, C.Leaf, N.Shoot, C.Shoot |
| Title: | Mediterranean mixed forest | | TRY File Archive ID: | 37 | | Rights of use: | Restricted, | | Publication Date: | 2019-06-27 | | Version: | 1.0 | | Author: | A.J. Perea-Martos | | Contributors: | | | Reference to publication: | | | Reference to data package: | | | DOI: | | | Format: | xlsx | | File name: | 237_MediterraneanMixedForest.xlsx | | Description: | This data set has records of 39 species of woody plants in two Mediterranean mixed forests of pines and oaks. A total of 16 morphometric and nutritional traits have been registered for approximately 10 adults and 20 saplings of each species | | Geolocation: | Southwestern of Iberian Peninsula | | Temporal coverage: | Spring-Summer | | Taxonomic coverage: | Mediterranean woody plant species | | Field list: | PLACE, Species, Maturity, Recruitment place, Height, Equivalent basal diameter (EBD), Basal Area, Cannopy Area, Canopy Volume, Leaf fresh weight (LFW), Leaf length, Leaf area, Leaf dry matter content LDMC, SLA, Leaf water content (LWC), Spinescence, Leaf Nitrogen, Leaf Carbon, C/N ratio, Leaf Hydrogen |
| Title: | Terrestrial Mediterranean Orchids Functional Traits | | TRY File Archive ID: | 38 | | Rights of use: | Restricted, | | Publication Date: | 2019-07-10 | | Version: | | | Author: | Michele Lussu
michelelussu86@gmail.com | | Contributors: | | | Reference to publication: | Lussu 2019. Terrestrial Mediterranean Orchid Functional Traits. | | Reference to data package: | | | DOI: | | | Format: | xlsx | | File name: | 251_Lussu_2019_Orchids_traits.xlsx | | Description: | Traits included are related with leaf, plant, floral, ecological and chorological traits of 14 widespread European orchid species. | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | Orchidaceae | | Field list: | Subfamily, Genus, Species, Chorotype, Sample, Plant heigh, First flower heigh, Inflorescence, Flowers, Floral density, Fruits, LFW (g), LDW (g), LA (cm2), W, LDMC, SLA (cm2/g), Coordinates, Fertilization, Light preference, Pollinators number, Maturity, Sampling date |
| Title: | CONCERNING SOME ECOPHYSIOLOGICAL PARAMETERS OF TREE LEAVES IN FOREST-STEPPE PLANTINGS.Tree and shrub | | TRY File Archive ID: | 39 | | Rights of use: | Public, | | Publication Date: | 2019-07-10 | | Version: | | | Author: | Kavelenova Lyudmila, Yankov Nikolay | | Contributors: | | | Reference to publication: | | | Reference to data package: | | | DOI: | | | Format: | xls in rar | | File name: | 258_Yankov N.V.rar | | Description: | none | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | Species, Latitude, Longitude, Altitude, Sampling Date, Exposition, Maturity, Plant Growth Form, LMA |
| Title: | Div_Resource Pot Experiment | | TRY File Archive ID: | 40 | | Rights of use: | Restricted, | | Publication Date: | 2019-07-10 | | Version: | | | Author: | Alrun Siebenkäs, siebenkaes.a@gmail.com, Christiane Roscher, christiane.roscher@ufz.de | | Contributors: | | | Reference to publication: | Div_Resource Pot Experiment Bad Lauchstaedt | | Reference to data package: | | | DOI: | 10.17871/TRY.40 | | Format: | xlsx | | File name: | 262_Traitdata_Div_Resource_2011.xlsx | | Description: | none | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | Species, Sampling Date, Exposition, Shade, Nutrient, GS, FG, SLA, LDMC, LNC, SNC, gs, LeafG, LMF, SNC, SCC, Height, LAR, RSR, RNC, RCC, SRL, RLD, RD |
| Title: | Montane_grassland_FT | | TRY File Archive ID: | 41 | | Rights of use: | Restricted, | | Publication Date: | 2019-07-10 | | Version: | | | Author: | Stephni van der Merwe | | Contributors: | | | Reference to publication: | van der Merwe S., Greve, M., Olivier, B. & le Roux, P.C. 2019. The role of facilitation in functional trait expression: testing the generality in two contrasting systems. in prep | | Reference to data package: | | | DOI: | | | Format: | xlsx in zip | | File name: | 264_Golden_Gate_TRY_SVDM_PCLR.zip | | Description: | none | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | Dataset owner, Study site, Date and time, Biome, Species, On/Off cushion, Latitude, Longitude, Altitude, Maturity, Height, Lateral, Leaf thickness (mm), Wet Weight(g), Dry Weight (g), Dry Weight (mg), LDMC (mg/g), Chlorophyll (mg/m2), Penetrometer (N), LA (mm2), SLA (mm2/mg) |
| Title: | sub-Antarctic_tundra_FT | | TRY File Archive ID: | 42 | | Rights of use: | Restricted, | | Publication Date: | 2019-07-10 | | Version: | | | Author: | Stephni van der Merwe | | Contributors: | | | Reference to publication: | van der Merwe S., Greve, M., Olivier, B. & le Roux, P.C. 2019. The role of facilitation in functional trait expression: testing the generality in two contrasting systems. in prep | | Reference to data package: | | | DOI: | | | Format: | xlsx in zip | | File name: | 265_Marion_Island_SVDM_PCLR.zip | | Description: | none | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | Dataset owner, Study site, Area, Date and time, Biome, Species, On/off cushion, Latitude, Longitude, Altitude, Maturity, Height (cm), Lateral (cm), Veg_cover (cm), Veg_height (cm), Wet weight (g), Width (mm), Thickness (mm), Chlorophyll (mg. m2), Dry weight (mg), LDMC (mg.g-1), Penetrometer (N), LA (mm2), SLA (mm2 mg -1) |
| Title: | Fagus sylvatica Paggeo Greece | | TRY File Archive ID: | 43 | | Rights of use: | Public, | | Publication Date: | 2019-07-10 | | Version: | | | Author: | Aristotelis C. Papageorgiou apapage@mbg.duth.gr, Ioannis Tsiripidis tsiripid@bio.auth.gr | | Contributors: | Ioannis Tsiripidis | | Reference to publication: | | | Reference to data package: | | | DOI: | | | Format: | xlsx | | File name: | 269_Fagus_Paggeo_TRY.xlsx | | Description: | This data file includes leaf morphological measurements on leaves harvested from 80 beech trees on four different plant groups of 20 trees, with different altitude or ecological characteristics (substrate, plant community, aspect). Leaves were harvested f | | Geolocation: | Mt. Paggeo, NE Greece | | Temporal coverage: | | | Taxonomic coverage: | Fagus sylvatica | | Field list: | Species, Area, Country, Tree, Latitute, Longitude, Altitude, Sampling Date, Exposition, Maturity, Plant Growth Form, Substrate, Plant Community, Aspect_D, Aspect, Shading, Petiole, Length, Width, LMW, Veins, AreaBox, Radiusmax, Radiusmin, Perimeter, RadiusRatio, LI, MWI, PI |
| Title: | BolivianBofedalTraitData | | TRY File Archive ID: | 44 | | Rights of use: | Public, | | Publication Date: | 2019-07-10 | | Version: | 1 | | Author: | Valerie Raevel vraevel@gmail.com
| | Contributors: | | | Reference to publication: | Raevel, V., Anthelme, F., Meneses, R. I., & Munoz, F. (2018). Cushion-plant protection determines guild-dependent plant strategies in high-elevation peatlands of the Cordillera Real, Bolivian Andes. Perspectives in Plant Ecology, Evolution and Systematics | | Reference to data package: | | | DOI: | | | Format: | csv, xls in zip | | File name: | 272_BolivianBofedalTraitData.zip | | Description: | Traits measurement, subordinate plants living in two kinds of giant cushion-plants (Distichia muscoides and Oxychloe andina) of high-Andean peatlands in Bolivia. | | Geolocation: | Huayana Potosi valley in the Cordillera Real mountain range close to La Paz, Bolivian Andes | | Temporal coverage: | April 2015 | | Taxonomic coverage: | Flowering plants | | Field list: | Family, SpeciesName, Authors, DominantCushion, FonctioFlGroup, H, LDMC, LW, NB.Leaves |
| Title: | Pinus_traits_Beloiu_Beierkuhnlein_06_2019 | | TRY File Archive ID: | 45 | | Rights of use: | Restricted, | | Publication Date: | 2019-07-10 | | Version: | | | Author: | Mirela Beloiu mirela.beloiu@uni-bayreuth.de, Carl Beierkuhnlein carl.beierkuhnlein@uni-bayreuth.de | | Contributors: | | | Reference to publication: | Unpublished: Pinus traits, Beloiu, M., Beierkuhnlein, C. 2019 | | Reference to data package: | | | DOI: | | | Format: | xlsx, docx, pdf in zip | | File name: | 278_Pinus_traits_Beloiu_Beierkuhnlein_06_2019.zip | | Description: | The Pinus traits database contains 28 traits of all Pinus species that have been included in the plant list (113 species). The file contains the Excel spreadsheet with the data and a PDF with the description of the data set. | | Geolocation: | Global | | Temporal coverage: | | | Taxonomic coverage: | Pinus Genus | | Field list: | Species, Author, Year, Subgenus, Dispersal, Height_max_m, DBH_cm, Needle_0_mean, Needle_Lcm_min, Needle_Lcm_max, Needle_Wmm_min, Needle_Wmm_max, Needle_age_max, Cone_Lcm_min, Cone_Lcm_max, Cone_Wcm_min, Cone_Wcm_max, Seed_Lmm_min, Seed_Lmm_max, Seed_Wmm_min, Seed_Wmm_max, Seed_wing_Lmm_min, Seed_wing_Lmm_max, Seed_wing_Wmm_min, Seed_wing_Wmm_max, Cones_Ser, Grass_stage, Fire_Res, Cladoptosis, Thick_bark |
| Title: | Plant height of Mediterranean herb layer communities, Sardinia, Italy | | TRY File Archive ID: | 46 | | Rights of use: | Restricted, | | Publication Date: | 2019-07-10 | | Version: | 1 | | Author: | Erika Bazzato, University of Cagliari, Italy, erika.bazzato@hotmail.it | | Contributors: | | | Reference to publication: | Bazzato et al., in prep. | | Reference to data package: | | | DOI: | 10.17871/TRY.46 | | Format: | xls, doc in zip | | File name: | 301_Traits_Bazzato_UNICA.rar | | Description: | Names of the traits: Plant height
Short description: The dataset includes species name, coordinates, elevation, exposition, maturity, health status, measures of individuals per species.
Units: Plant height (H1-H10) of individuals per species in cm; latitu | | Geolocation: | South Sardinia, Italy | | Temporal coverage: | Current | | Taxonomic coverage: | terrestrial vascular plants | | Field list: | SPECIES, Latitude, Longitude, Altitude, Exposition, Maturity, Health status , H1, H2, H3, H4, H5, H6, H7, H8, H9, H10 |
| Title: | Iranian Marl database | | TRY File Archive ID: | 47 | | Rights of use: | Public, | | Publication Date: | 2019-07-10 | | Version: | | | Author: | | | Contributors: | | | Reference to publication: | | | Reference to data package: | | | DOI: | | | Format: | xlsx in zip | | File name: | 309_Final file.rar | | Description: | Data base of Marl habitats including gypsum, serpentine and calcareous soils in Iran which contain rare and endemic species in Iran | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | Site, Species, Leaf fresh mass (g), Thickness (mm), Leaf dry mass(g), Leaf area (cm2), Leaf length(cm), SLA (cm2/g), LDMC (g/g), Sites, Habitat, Latitute, Longitute, Altitute, Disturbance, Sampling date |
| Title: | Fabio Carvalho lowland fen peatland | | TRY File Archive ID: | 48 | | Rights of use: | Restricted, | | Publication Date: | 2019-07-24 | | Version: | | | Author: | Fabio Carvalho, 3 Blades Street, Lancaster, LA1 1TT, UK | | Contributors: | Fabio da Silva, Kerry Brown, Arnoud Boom, Martyn Waller | | Reference to publication: | Carvalho F, Brown KA, Waller MP, Bunting MJ, Boom A, Leng MJ (2019) A method for reconstructing temporal changes in vegetation functional trait composition using Holocene pollen assemblages. PLoS ONE 14(5): e0216698. https://doi.org/10.1371/journal.pone.0216698 Carvalho, F, Brown, KA, Waller, MP, Boom, A (2019) Leaf traits interact with management and water table to modulate ecosystem properties in fen peatlands. Plant and Soil. DOI: https://doi.org/10.1007/s11104-019-04126-6 https://doi.org/10.1007/s11104-019-04126-6 | | Reference to data package: | | | DOI: | | | Format: | xlsx | | File name: | 313_Fabio Carvalho lowland fen peatland.xlsx | | Description: | Leaf traits measured from vascular plants from two lowland fen peatlands in East Anglia, UK in 2013 and 2014 | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | Species, Latitude, Longitude, Altitude (m asl), Sampling Date, Exposition, Maturity, Plant Growth Form, Total number of specimens sampled, Total number of leaves sampled, Petiole area, Petiole dry mass, Leaf lamina dry mass, Leaf lamina dry mass to petiole dry mass ratio, Leaf dry mass, Leaf area, Specific leaf area (SLA), Leaf mass per area (LMA), Leaf dry-matter content (LDMC), Leaf carbon concentration, Leaf nitrogen concentration, Leaf C/N ratio, Leaf ?13C, Leaf ?15N, Comments, Methods |
| Title: | Adenostyles alliariae leaf morphology | | TRY File Archive ID: | 49 | | Rights of use: | Public, | | Publication Date: | 2019-10-25 | | Version: | | | Author: | Tucker Gilman, 9 Milwain Road, Manchester, UK M19 2PX | | Contributors: | | | Reference to publication: | Francis B and Gilman RT (2019) Light intensity affects leaf morphology in a wild population of Adenostyles alliariae (Asteraceae). Italian Botanist, in press | | Reference to data package: | | | DOI: | 10.17871/TRY.49 | | Format: | csv | | File name: | 326_Francis and Gilman SI.zip | | Description: | | | Geolocation: | Passo del Pura, Ampezzo, Friuli-Venezia Giulia, Italy (46° 25.5433’N, 12° 44.5167’E (DDM), 1400 m asl) | | Temporal coverage: | 9, 11 and 12 July 2019 | | Taxonomic coverage: | Adenostyles alliariae | | Field list: | species, northing, easting, light, leaf.area, ls, rs, lasym, day, patch, shade |
| Title: | LMA and LDMC of cloud forest tree seedlings in an elevation gradient | | TRY File Archive ID: | 50 | | Rights of use: | Public, | | Publication Date: | 2019-11-06 | | Version: | 1 | | Author: | Tarin Toledo-Aceves, Instituto de Ecología, A.C., Mexico | | Contributors: | Maria de los Angeles García Hernández (email: mag_10f@yahoo.com.mx) | | Reference to publication: | Toledo-Aceves T., García-Hernández M. de los A., Paz H. Leaf functional traits predict cloud forest tree seedling survival along an elevation gradient. Annals of Forest Science. In press | | Reference to data package: | | | DOI: | 10.17871/TRY.50 | | Format: | xlsx | | File name: | 329_Toledo_Aceves_&_Garcia_Hernandez_2019.xlsx | | Description: | 1 year-old tree seedlings were planted in 9 forest understorey sites along an elevation gradient. Leaf traits were calculated based on 10 individuals per species at each site. One mature leaf was collected from each individual and processed following the procedures described by Pérez-Harguindeguy et al. (2013). Pérez-Harguindeguy N, Diaz S, Garnier E, et al (2013) New Handbook for standardized measurement of plant functional traits worldwide. Aust J Bot 61:167–234. doi: http://dx.doi.org/10.1071/BT12225 | | Geolocation: | It includes data collected at 9 sites along an elevation gradient from 1250 to 2517 m a.s.l., Veracruz, Mexico | | Temporal coverage: | Leaf trait data collected in June 2016. Survival data registered in June 2017. | | Taxonomic coverage: | div | | Field list: | Species, Latitude, Longitude, Altitude (m a.s.l.), Sampling date, Environment, Individual age (months), Growth form, Maturity, LMA (g /cm2), LDMC (g/g), Canopy cover (%), Temperature (C), Initial height (cm), Soil C (%), Soil N (%), Soil P (%), N-NH4 (mg/Kg), N-NO3 (mg/Kg), Ca (cmol/Kg), Mg (cmol/Kg), pH, Clay (%), Silt(%), Sand (%), Texture, Bulk density (g/cm3), Comments |
| Title: | Tropical tree seedling above and below ground traits | | TRY File Archive ID: | 51 | | Rights of use: | Public, | | Publication Date: | 2019-12-05 | | Version: | Environmen | | Author: | Boonman, Coline | | Contributors: | Veenendaal, Elmar | | Reference to publication: | Boonman, C.C.F., van Langevelde, F., Oliveras, I., Couédon, J., Luijken, N., Martini, D., and Veenendaal, E.M. (2019), On the importance of root traits in seedlings of tropical tree species. New Phytol. Accepted Author Manuscript | | Reference to data package: | | | DOI: | 10.1111/nph.16370 | | Format: | xlsx | | File name: | 337_Above.and.Below.ground.tree.seedling.traits.xlsx | | Description: | | | Geolocation: | Green house experiment with tree seedlings from Africa | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | Species, Starch, Starch_sd, SRL fr3, SRL fr3_sd, SRL fr1, SRL fr1_sd, MRD, MRD_sd, RMF, RMF_sd, LAR, LAR_sd, SLA, SLA_sd, LS, LS_sd, SMF, SMF_sd, LMF, LMF_sd, plant weight, plant weight_sd |
| Title: | Ameroglossum_data | | TRY File Archive ID: | 52 | | Rights of use: | Public, | | Publication Date: | 2019-12-13 | | Version: | | | Author: | Wanderley, Artur, Rua da Harmonia, 305, Casa Amarela, Recife, Pernambuco, Brazil. 52051-395 | | Contributors: | | | Reference to publication: | Wanderley AM, Santos EKR, Galetto L, Benko-Iseppon AM, Machado ICS. Pollen movement among island-like habitats may reduce extinction risk in populations of two rare and self-compatible plant species. Plant Ecology. In press | | Reference to data package: | | | DOI: | | | Format: | xlsx in rar | | File name: | 338_Ameroglossum_data.rar | | Description: | | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | multiple files |
| Title: | Under-ground Carbohydrate Stores and Storage Organs in Fire-Maintained Longleaf Pine Savannas in Flo | | TRY File Archive ID: | 53 | | Rights of use: | Restricted, | | Publication Date: | 2020-01-10 | | Version: | | | Author: | Milton Diaz, Carretera Antigua a Coatepec 351, El Haya Xalapa, Ver. CP 91073 | | Contributors: | | | Reference to publication: | Under-ground Carbohydrate Stores and Storage Organs in Fire-Maintained Longleaf Pine Savannas in Florida, USA | | Reference to data package: | | | DOI: | 10.17871/TRY.53 | | Format: | xlsx | | File name: | 349_TNC USO data.xlsx | | Description: | TNC concentrations in under-ground organs of pine savanna species | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | Species, Family, Type, AGB (g), BGB (g), BGBUSO, Mean BGBUSO, BGBFR, Mean BGBFR, WCUSO, Mean WCUSO, WCFR, Mean WCFR, TNCUSO (mg g-1), Mean TNCUSO, TNCFR (mg g-1), Mean TNCFR |
| Title: | Colorado Plateau Restoration Species | | TRY File Archive ID: | 54 | | Rights of use: | Public, | | Publication Date: | 2020-01-31 | | Version: | 1 | | Author: | Kathleen Balazs, 617 S Beaver ST, Flagstaff AZ 86011 | | Contributors: | Kathleen Balazs, Bradley Butterfield | | Reference to publication: | Kathleen Balazs, Andrea Kramer, Seth Munson, Bradley Butterfield. The right trait in the right place at the right time: Matching traits to environment improves restoration outcomes. 2020. Ecological Applications | | Reference to data package: | | | DOI: | 10.17871/TRY.54 | | Format: | xlsx | | File name: | 352_KB_TRY_Submission_13020.xlsx | | Description: | Seed mass, specific leaf area, and height data from grass, forb, and shrub species commonly used in restoration on the Colorado Plateau, United States. A combination of greenhouse measurements on cultivars and field measurements of naturally occurring populations | | Geolocation: | Northern Arizona, United states | | Temporal coverage: | 2017-2018 | | Taxonomic coverage: | 26 species from 23 genera | | Field list: | Species, Cultivar, Source of Seed, replicate_ID, Latitude, Longitude, Altitude, Sampling date, Exposition, growth medium, Maturity, Plant growth form, Trait, Abbr., value, unit, individual or average, N, SE, Contributer |
| Title: | Tropical dry forest species traits | | TRY File Archive ID: | 55 | | Rights of use: | Public, | | Publication Date: | 2020-02-14 | | Version: | 1.0 | | Author: | Moisés Méndez Toribio | | Contributors: | Moisés Méndez Toribio; moises.mendez@inecol.mx, Guillermo Ibarra Manríquez; gibarra@cieco.unam.mx | | Reference to publication: | Méndez-Toribio, M, Ibarra-Manríquez, G. Paz, H, and Lebrija-Trejos, H. (in press) Atmospheric and soil drought risks combined shape tree species assembly in a Tropical Dry Forest. Journal of Ecology | | Reference to data package: | | | DOI: | 10.17871/TRY.55 | | Format: | xlsx | | File name: | AtributosTRY_13Feb2020.xlsx | | Description: | Seven plant leaf and stem “soft” functional traits related to water and energy balance | | Geolocation: | ~ 4.02 × 109 km2 | | Temporal coverage: | From November 2012 to November 2013 | | Taxonomic coverage: | Woody tropical dry forest trees | | Field list: | Autor, Latitude, Longitude, Altitude, Sampling Date, Exposition, Maturity, Plant growth form, ID, Swcs, Bwcs, BT, WD, LRT, LDM, LMA, Comment Methods |
| Title: | ROSALBA MIREYA HERNANDEZ HERRERA | | TRY File Archive ID: | 56 | | Rights of use: | Public, | | Publication Date: | 2020-02-20 | | Version: | | | Author: | CENTRO UNIVERSITARIO DE CIENCIAS BIOLOGICAS Y AGROPECUARIAS Camino Ramón Padilla Sánchez No. 2100 Nextipac, Zapopan, Jalisco C.P.45200 | | Contributors: | AV. NORMALISTAS | | Reference to publication: | Dataset References could be used to as a availabity statement is required in our manuscript tor Frontiers Journal | | Reference to data package: | | | DOI: | | | Format: | xlsx | | File name: | Gonzalez Gonzalez 18022020.xlsx | | Description: | This study analyzed the physiological, ecological, and biotechnological implications of the addition of two biostimulants, both alone and in combination, on the development of tomato plants (Solanum lycopersicum L. cv. ‘Rio Fuego’). The treatments included the application of different combinations of AFM and SEs on tomato plants grown under low-nutrient and nutrient-enriched soil conditions. The morpho-physiological parameters evaluated were plant growth and photosynthetic performance while ecological benefits were evaluated with the success of AFM colonization, flowering, resistance capacity via non-photochemical quenching, and polyphenol content. The biotechnological potential of the BPs was evaluated based on biomass yield and the content of proteins, lipids, carbohydrates, nitrogen, and phosphorous. Based on the results, the combination of both AMF and SE resulted in either additive or synergistic effects on plant growth and performance, reflected in favorable and significant effects on morpho-physiological (foliar biomass), biotechnological (protein and carbohydrate levels), and ecological (AMF colonization and flowering) characteristics | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | multiple sheets |
| Title: | Data from: Olson et al. 2020 Ecological Monographs vessel diameter-plant height scaling | | TRY File Archive ID: | 57 | | Rights of use: | Restricted, | | Publication Date: | 2020-02-25 | | Version: | | | Author: | Mark E. Olson, Instituto de Biología, Universidad Nacional Autónoma de México, Tercer Circuito s/n de Ciudad Universitaria, Ciudad de México 04510, México | | Contributors: | | | Reference to publication: | Olson ME, Rosell JA, Martínez-Pérez C, León-Gómez C, Fajardo A, Isnard S, Cervantes-Alcayde M-A, Echeverría A, Figueroa-Abúndiz, Segovia-Rivas A, et al. in press. Xylem vessel diameter-shoot length scaling: ecological significance of porosity types and other traits. Ecological Monographs. | | Reference to data package: | | | DOI: | 10.17871/TRY.57 | | Format: | csv | | File name: | 350_OlsonetalVesselScalingEcoogicalMonographsDataset.csv | | Description: | | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | non-monocot angiosperms | | Field list: | order, family, genus, species, plant height in meters, species mean stem base vessel diameter µm, species mean stem tip vessel diameter µm, species mean stem base vessels/mm2, species mean stem tip vessels/mm2, species mean wood density grams/ml, porosity type, perforation plate type, successive cambia presence/ absence, leaf phenology (drought deciduous, cold deciduous, evergreen, leafless, stem succulent), background imperforate tracheary element type (true tracheids, fiber tracheids, libriform fibers) vasicentric tracheid presence/absence (excluding species with true tracheids), vascular tracheid presence/absence |
| Title: | Leaf traits of plants in the Green House.Botanical garden of the Samara University | | TRY File Archive ID: | 58 | | Rights of use: | Public, | | Publication Date: | 2020-03-16 | | Version: | | | Author: | Nikolai Yankov, Botanical garden of the Samara University, Moskowskoye shosse – 36, Samara city, Russia 443086 | | Contributors: | | | Reference to publication: | | | Reference to data package: | | | DOI: | 10.17871/TRY.58 | | Format: | xlsx | | File name: | 359_Parfionova, YankovDATA.xlsx | | Description: | In this study, 25 species of plants growing in a greenhouse were analyzed. The analysis was carried out according to the following parameters: the content of chlorophyll in the leaves and SLA. Change in parameters was observed for two years. Using these data and related studies, correlation relationships with changes in lighting, leaf surface morphology, and sheet thickness have been identified | | Geolocation: | 53ş15’ latitudinis, 50ş27’ longitudinis | | Temporal coverage: | 2018-2019 | | Taxonomic coverage: | Myrtus communis L., Podocarpus macrophyllus (Thunb.) Sweet, Podocarpus salicifolius Klotzsch & H.Karst. ex Endl., Ficus cyathistipula Warb., Laurus nobilis L., Olea europaea L., Ceratonia siliqua L., Tamarindus indica L., Camellia japonica L., Magnol | | Field list: | Species, Samping Date, fresh leaf mass, oven-dry leaf mass, Leaf size (individual leaf area), SLA, thickness leaf, chlorophyll.?, chlorophyll.?, carotenoids, ?/?, chlorophyll/carotenoids |
| Title: | Global trait maps at 3km resolution | | TRY File Archive ID: | 59 | | Rights of use: | Public, CC BY | | Publication Date: | 2020-03-26 | | Version: | 2.0 | | Author: | Álvaro Moreno-Martínez: Numerical Terradynamic Simulation Group (NTSG), College of Forestry and Conservation, University of Montana, Missoula, USA | | Contributors: | Gustau Camps-Valls (Image Processing Laboratory (IPL), Universitat de Valčncia, Valčncia, Spain), Jens Kattge (Max-Planck-Institute for Biogeochemistry (MPI-BGC), Jena, Germany), Nathaniel Robinson (Numerical Terradynamic Simulation Group (NTSG), College of Forestry and Conservation, University of Montana, Missoula, USA), Markus Reichstein (Max-Planck-Institute for Biogeochemistry (MPI-BGC), Jena, Germany), Peter van Bodegom (Institute of Environmental Sciences, Leiden University, Leiden, The Netherlands), Steve W. Running (Numerical Terradynamic Simulation Group (NTSG), College of Forestry and Conservation, University of Montana, Missoula, USA) | | Reference to publication: | Moreno-Martínez, Á., Camps-Valls, G., Kattge, J., Robinson, N., Reichstein, M., Bodegom, P. V., Kramer, K., Cornelissen, J. H. C., Reich, P. B., Bahn, M., Niinemets, Ü., Peńuelas, J., Craine, J., Cerabolini, B., Minden, V., Laughlin, D. C., Sack, L., Allred, B., Baraloto, C., Byun, C., Soudzilovskaia, N. A., Running, S. W. (2018). A methodology to derive global maps of leaf traits using remote sensing and climate data. Remote Sensing of Environment, 218, 69-88. doi:10.1016/j.rse.2018.09.006 | | Reference to data package: | Moreno-Martínez, Á., Camps-Valls, G., Kattge, J., Robinson, N., Reichstein, M., Bodegom, P. V., Running, S. W. (2020) Global maps of leaf traits at 3km resolution. TRY File Archive https://www.try-db.org/TryWeb/Data.php#59 | | DOI: | 10.17871/TRY.59 | | Format: | The data files are GeoTIFF format compressed with Zip to reduce storage needs. GeoTIFF is a public domain metadata standard which allows georeferencing information to be embedded within a TIFF file. ENVI, QGIS, MATLAB, PYTHON, GDAL, ArcGIS, and R, among other software packages or programming languages, support GeoTIFF files. | | File name: | Global_trait_maps_vs2_3km_res.zip | | Description: | Global maps (data, plots, description) for: Leaf nitrogen content per leaf dry mass (LNC), Leaf phosphorus content per leaf dry mass (LPC), Leaf area per leaf dry mass (SLA), Leaf dry mass per leaf fresh mass (LDMC). Following Moreno-Martinez et al. (2018), the maps are upscaled from in-situ measured trait data (TRY database version 3.0) using climate (Worldclim) and remote sensing (Landsat, MODIS) information. Version 2.0 of the trait maps prevents extrapolation and uses an updated categorical trait table | | Geolocation: | Global | | Temporal coverage: | Holocene | | Taxonomic coverage: | Vascular plants | | Field list: | Leaf nitrogen content per leaf dry mass (LNC, mg/g), Leaf phosphorus content per leaf dry mass (LPC, mg/g), Leaf area per leaf dry mass (SLA, mm2/mg), Leaf dry mass per leaf fresh mass (LDMC, g/g) |
| Title: | Global trait maps at 1km resolution | | TRY File Archive ID: | 60 | | Rights of use: | Public, CC BY | | Publication Date: | 2020-03-26 | | Version: | 2.0 | | Author: | Álvaro Moreno-Martínez: Numerical Terradynamic Simulation Group (NTSG), College of Forestry and Conservation, University of Montana, Missoula, USA | | Contributors: | Gustau Camps-Valls (Image Processing Laboratory (IPL), Universitat de Valčncia, Valčncia, Spain), Jens Kattge (Max-Planck-Institute for Biogeochemistry (MPI-BGC), Jena, Germany), Nathaniel Robinson (Numerical Terradynamic Simulation Group (NTSG), College of Forestry and Conservation, University of Montana, Missoula, USA), Markus Reichstein (Max-Planck-Institute for Biogeochemistry (MPI-BGC), Jena, Germany), Peter van Bodegom (Institute of Environmental Sciences, Leiden University, Leiden, The Netherlands), Steve W. Running (Numerical Terradynamic Simulation Group (NTSG), College of Forestry and Conservation, University of Montana, Missoula, USA) | | Reference to publication: | Moreno-Martínez, Á., Camps-Valls, G., Kattge, J., Robinson, N., Reichstein, M., Bodegom, P. V., Kramer, K., Cornelissen, J. H. C., Reich, P. B., Bahn, M., Niinemets, Ü., Peńuelas, J., Craine, J., Cerabolini, B., Minden, V., Laughlin, D. C., Sack, L., Allred, B., Baraloto, C., Byun, C., Soudzilovskaia, N. A., Running, S. W. (2018). A methodology to derive global maps of leaf traits using remote sensing and climate data. Remote Sensing of Environment, 218, 69-88. doi:10.1016/j.rse.2018.09.006 | | Reference to data package: | Moreno-Martínez, Á., Camps-Valls, G., Kattge, J., Robinson, N., Reichstein, M., Bodegom, P. V., Running, S. W. (2020) Global maps of leaf traits at 1km resolution. TRY File Archive https://www.try-db.org/TryWeb/Data.php#60 | | DOI: | 10.17871/TRY.60 | | Format: | The data files are GeoTIFF format compressed with Zip to reduce storage needs. GeoTIFF is a public domain metadata standard which allows georeferencing information to be embedded within a TIFF file. ENVI, QGIS, MATLAB, PYTHON, GDAL, ArcGIS, and R, among other software packages or programming languages, support GeoTIFF files. | | File name: | Global_trait_maps_vs2_1km_res.zip | | Description: | Global maps (data, plots, description) for: Leaf nitrogen content per leaf dry mass (LNC), Leaf phosphorus content per leaf dry mass (LPC), Leaf area per leaf dry mass (SLA), Leaf dry mass per leaf fresh mass (LDMC). Following Moreno-Martinez et al. (2018), the maps are upscaled from in-situ measured trait data (TRY database version 3.0) using climate (Worldclim) and remote sensing (Landsat, MODIS) information. Version 2.0 of the trait maps prevents extrapolation and uses an updated categorical trait table | | Geolocation: | Global | | Temporal coverage: | Holocene | | Taxonomic coverage: | Vascular plants | | Field list: | Leaf nitrogen content per leaf dry mass (LNC, mg/g), Leaf phosphorus content per leaf dry mass (LPC, mg/g), Leaf area per leaf dry mass (SLA, mm2/mg), Leaf dry mass per leaf fresh mass (LDMC, g/g) |
| Title: | Individual-based traits in alpine vegetation | | TRY File Archive ID: | 61 | | Rights of use: | Public, | | Publication Date: | 2020-04-27 | | Version: | | | Author: | Gianalberto Losapio | | Contributors: | Gianalberto Losapio | | Reference to publication: | Losapio G, De la Cruz M, Escudero A, Schmid B & Schöb C. 2018. The assembly of a plant network in alpine vegetation. Journal of Vegetation Science, 29, 999-1006 | | Reference to data package: | | | DOI: | 10.17871/TRY.61 | | Format: | xlsx | | File name: | trydata_losapioJVS18.xlsx | | Description: | Set of plant traits measured at the individual level in an alpine community (Lämmerenboden, Wallis, 2300 m a.s.l., Lat 46.39995N, Long 7.58224E) | | Geolocation: | Community level, 27 m2 | | Temporal coverage: | Summer 2015 | | Taxonomic coverage: | Plants | | Field list: | species, diam, height, leaves, demo, pheno, dryw, leaflength, leafarea, Error, sla, cover, biomass |
| Title: | Functional traits and phylogenetics help explain coastal grassland restoration planting survival and | | TRY File Archive ID: | 62 | | Rights of use: | Public, | | Publication Date: | 2020-04-27 | | Version: | | | Author: | 1156 High Street, Santa Cruz, CA 95064 | | Contributors: | | | Reference to publication: | | | Reference to data package: | | | DOI: | | | Format: | zipped xlsx | | File name: | 370_Luong_YLRIDERestorationExpTraits2020.zip | | Description: | | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | mult files |
| Title: | ParacouITV | | TRY File Archive ID: | 63 | | Rights of use: | Public, | | Publication Date: | 2020-06-23 | | Version: | 0.1.0 | | Author: | Sylvain Schmitt, sylvain.m.schmitt@gmail.com, orcid.org/0000-0001-7759-7106, Univ. Bordeaux, INRAE, BIOGECO, 69 route d'Arcachon, 33610 Cestas France | | Contributors: | Bruno Hérault (bruno.herault@cirad.fr), Émilie Ducouret (emducouret@gmail.com), Anne Baranger (anne.baranger@agroparistech.fr), Niklas Tysklind (Niklas.Tysklind@ecofog.gf), Myriam Heuertz (heuertzm@gmail.com), Éric Marcon (Eric.Marcon@ecofog.gf), Saint Omer Cazal (Saint-Omer.Cazal@ecofog.gf), Géraldine Derroire (geraldine.derroire@cirad.fr) | | Reference to publication: | Schmitt, S., Hérault, B., Ducouret, É., Baranger, A., Tysklind, N., Heuertz, M., … Derroire, G. (2020). Topography consistently drives intra- and inter-specific leaf trait variation within tree species complexes in a Neotropical forest. Oikos, in press, doi:10.1111/oik.07488. http://dx.doi.org/10.1111/oik.07488 | | Reference to data package: | | | DOI: | 10.17871/TRY.63 | | Format: | xlsx | | File name: | 177_ParacouITV.xlsx | | Description: | | | Geolocation: | Paracou field station (5°18?N, 52°53?W, https://paracou.cirad.fr/website)
• Temporal Coverage: 2017-2018 | | Temporal coverage: | 2017-2018 | | Taxonomic coverage: | Symphonia, Eschweilera, Lecythis | | Field list: | idTree, Plot, SubPlot, TreeFieldNum, Leaf, Family, Genus, Species, Dawkins, SLA, LDMC, LT, LA, CC, brBT, brWD, brBD |
| Title: | Data for: Sancho-Knapik et al. Deciduous evergreen oaks contrasting responses in LMA | | TRY File Archive ID: | 64 | | Rights of use: | Restricted, | | Publication Date: | 2020-07-16 | | Version: | 1.0 | | Author: | Eustaquio Gil-Pelegrín, Unidad de Recursos Forestales, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Avda. Montańana 930, 50059 Zaragoza, Spain, e-mail: egilp@aragon.es | | Contributors: | Domingo Sancho-Knapik, e-mail: dsancho@cita-aragon.es | | Reference to publication: | Sancho?Knapik, D., Escudero, A., Mediavilla, S., Scoffoni, C., Zailaa, J., Cavender?Bares, J., Gómez Álvarez?Arenas, T., Molins, A., Alonso?Forn, D., Ferrio, J.P., Peguero?Pina, J.J. and Gil?Pelegrín, E. (2020) Deciduous and evergreen oaks show contrasting adaptive responses in leaf mass per area across environments. New Phytologist https://doi.org/10.1111/nph.17151 | | Reference to data package: | | | DOI: | 10.17871/TRY.64 | | Format: | xlsx | | File name: | SanchoKnapikQuercusLMA.xlsx | | Description: | The dataset includes anatomical measures and fiber concentration of current-year, fully-developed leaves of 85 oak species from all around the Northern Hemisphere, sampled in a common garden with temperate climatic conditions (see Sancho-Knapik et al. for further details). | | Geolocation: | Common-garden study, Jardín Botánico de Iturrarán (43°13?N, 02°01?W, 70 m a.s.l., Gipuzkoa, Spain, www.iturraran.org) | | Temporal coverage: | 2015 | | Taxonomic coverage: | 85 oak species (genus Quercus), covering section Ilex, Cerris, Cyclobalanopsis, Quercus, Protobalanus, Virentes and Lobatae | | Field list: | Species name, Leaf habit, Leaf mass per area , Leaf thickness, Leaf area, Hemicellulose concentration, Cellulose concentration, Lignin + cutin concentration, Palisade mesophyll thickness, Spongy mesophyll thickness, Palisade mesophyll cell rows, Palisade cell length, Palisade cell width, Interveinal distance , Bundle sheath extension width |
| Title: | Mean leaf trait values of woody seedlings of a Caatinga Dry Forest | | TRY File Archive ID: | 65 | | Rights of use: | Restricted, | | Publication Date: | 2020-07-20 | | Version: | | | Author: | Renato Vanderlei. Botany Department, Federal University of Pernambuco. Rua Professor Moraes Rego, Cidade Universitária. 50.670-901. Recife, Pernambuco, Brazil. | | Contributors: | | | Reference to publication: | | | Reference to data package: | | | DOI: | | | Format: | csv in rar | | File name: | 381_Seedlings_leaf_traits_Caatinga_dry_forest.rar | | Description: | This dataset contains data of functional leaf traits measured in seedlings collected at a Caatinga Dry Forest.The traits were measured from seedlings collected in 19 50 m x 20 m (0.1 ha) forest stands in a dry forest. All the seedlings below 50 cm of height were collected and traits measured in the laboratory. Surveys were restricted to woody plants species. Eight functional leaf traits were measured: (1) leaf area (LA, cm˛); (2) specific leaf area (SLA, the ratio of leaf area to leaf dry mass, m˛/kg); (3) leaf dry matter content (LDMC, the ratio of leaf dry mass to fresh mass, mg/g); (4) leaf thickness (Lth, mm); (5) leaf succulence (LS, the ratio of leaf water content to leaf area, mg/cm˛); (6) leaf compoundness (LC, 0 - simple leaves; 1 - compound leaves); (7) spinescence (Spin, 0 - absent, 1 - present ); (8) presence/absence of trichomes (Trich, 0 - absent, 1 - present). The collected data of traits 1-8 were collected in the field for each individual according to Pérez-Harguindeguy et al. (2013) | | Geolocation: | 1.9 ha | | Temporal coverage: | 2018 | | Taxonomic coverage: | Family, Genus, species | | Field list: | Family, Species, lth (mm), ldmc (mg/g), ls (mg/cm˛), la (cm˛), sla (m˛/kg), spin, trich, leaf_comp |
| Title: | CMQ lettuce | | TRY File Archive ID: | 66 | | Rights of use: | Restricted, | | Publication Date: | 2020-07-21 | | Version: | | | Author: | Ivan Simko, USDA-ARS, 1636 E. Alisal St., Salinas, CA, USA | | Contributors: | | | Reference to publication: | Simko, I.: Predictive Modeling of a Leaf Conceptual Midpoint Quasi-Color (CMQ) Using an Artificial Neural Network. Sensors 2020, 20, 3938; doi:10.3390/s20143938 | | Reference to data package: | | | DOI: | 10.17871/TRY.66 | | Format: | xlsx in zip | | File name: | 382_CMQ.zip | | Description: | Spatial, temporal, and taxonomic coverage for each entry is provided in excel files. | | Geolocation: | Provided in file | | Temporal coverage: | Provided in file | | Taxonomic coverage: | Provided in file | | Field list: | Sample ID, Species, Common name, Cultivar, Location, Date, Exposition, Plant maturity, Leaf age, Plant growth form, Chlorophylls SPAD, Anthocyanins ACI, Adaxial color CIELab L*, Adaxial color CIELab a*, Adaxial color CIELab b*, Adaxial color CIELab C*, Adaxial color CIELab hş, Abaxial color CIELab L*, Abaxial color CIELab a*, Abaxial color CIELab b*, Abaxial color CIELab C*, Abaxial color CIELab hş, Difference in color CIELab ?L*, Difference in color CIELab ?a*, Difference in color CIELab ?b*, Difference in color CIELab ?C*, Difference in color CIELab ?hş, Difference in color ?E, Conceptual Midpoint Quasi-color CMQ qL*, Conceptual Midpoint Quasi-color CMQ qa*, Conceptual Midpoint Quasi-color CMQ qb*, Conceptual Midpoint Quasi-color CMQ qC*, Conceptual Midpoint Quasi-color CMQ qhş, Sample ID, Species, Common name, Cultivar, Location, Date, Exposition, Plant maturity, Leaf age, Plant growth form, Note, Chlorophylls SPAD, Anthocyanins ACI, Adaxial color CIELab L*, Adaxial color CIELab a*, Adaxial color CIELab b*, Adaxial color CIELab C*, Adaxial color CIELab hş, Abaxial color CIELab L*, Abaxial color CIELab a*, Abaxial color CIELab b*, Abaxial color CIELab C*, Abaxial color CIELab hş, Difference in color CIELab Δ L*, Difference in color CIELab Δ a*, Difference in color CIELab Δ b*, Difference in color CIELab Δ C*, Difference in color CIELab Δ hş, Difference in color Δ E, Conceptual Midpoint Quasi-color CMQ qL*, Conceptual Midpoint Quasi-color CMQ qa*, Conceptual Midpoint Quasi-color CMQ qb*, Conceptual Midpoint Quasi-color CMQ qC*, Conceptual Midpoint Quasi-color CMQ qhş |
| Title: | Symphonia seedling reciprocal transplantation experiment (survival, growth, and predation) | | TRY File Archive ID: | 67 | | Rights of use: | Public, | | Publication Date: | 2020-08-12 | | Version: | | | Author: | Niklas Tysklind, INRAE, UMR0745 EcoFoG, AgroParisTech, Cirad, CNRS, Université des Antilles, Université de Guyane, Campus Agronomique, Avenue de France, BP97387 Kourou Cedex, France | | Contributors: | Scotti I, Scotti-Saintagne C | | Reference to publication: | Tysklind N., Etienne MP., Scotti-Saintagne C., Tinaut A., Casalis M., Troispoux V., Cazal SO., Brousseau L, Ferry B, Scotti I (2020). Microgeographic local adaptation and ecotype distributions: the role of selective processes on early life history traits in sympatric, ecologically divergent Symphonia populations. Ecology and Evolution. Accepted. https://doi.org/10.22541/au.158705417.7070883 | | Reference to data package: | | | DOI: | 10.5061/dryad.stqjq2c1q | | Format: | xlsx in zip | | File name: | 383_Symphonia_seedlings_Reciprocal_Transplantation_Experiment.zip | | Description: | This contains raw data on the survival and growth of a reciprocal transplantation experiment of Symphonia in French Guiana.
Two different ecotypes/species, S. globulifera and S. sp1, exists in sympatry. The former is a seasonally floded specialists, whereas the latter prefers hilltops and slopes. Seeds from both ecotypes and from two regions (east and west) were collected from mother trees and grown in a reciprocal transplantation experiment.
The experiment was established in 2009, and measurement were taken annualy except for 2012.
Year 0 = 2009
Year 1 = 2010
Year 2 = 2011
Year 4 = 2013
Year 5 = 2014
The traits measured were height (cm), diameter (mm), and total number of leaves, as well as the relative growth rates (difference between years) in these three variables.
We also calculated predation as an average percentage of damaged in all leaves. Germination and survival were recorded as 0 (ungerminated or dead) and 1 (alive). Trait data for individuals that were ungerminated or dead are recorded as NA. | | Geolocation: | Reciprocal transplantation experiment in French Guiana | | Temporal coverage: | 2009-2014 | | Taxonomic coverage: | Symphonia globulifera, Symphonia sp1 | | Field list: | N°, ID, Family, Garden, bloc, Garben_bloc, Species, Habitat, PROV_Region, PLANT_Region, seed_info, H_0, H_1, H_2, H_4, H_5, RGR_H_0, RGR_H_1, RGR_H_2, RGR_H_4, RGR_H_5, DI_0, DI_1, DI_2, DI_4, DI_5, RGR_DI_0, RGR_DI_1, RGR_DI_2, RGR_DI_4, RGR_DI_5, TNL_0, TNL_1, TNL_2, TNL_4, TNL_5, RGR_TNL_0, RGR_TNL_1, RGR_TNL_2, RGR_TNL_4, RGR_TNL_5, Herb_0_recod, Herb_1_recod, Herb_2_recod, Herb_4_recod, Herb_5_recod, Nbf_attack_1, Nbf_attack_1, Nbf_attack_2, Nbf_attack_4, Nbf_attack_5, RAM_0, RAM_1, RAM_2, RAM_4, RAM_5, Survival_0, Survival_1, Survival_2, Survival_4, Survival_5 |
| Title: | Heishiding_Performance_Trait_Environment_Data | | TRY File Archive ID: | 68 | | Rights of use: | Restricted, | | Publication Date: | 2020-09-16 | | Version: | | | Author: | Chengjin Chu (chuchjin@mail.sysu.edu.cn), School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China | | Contributors: | | | Reference to publication: | | | Reference to data package: | | | DOI: | 10.17871/TRY.68 | | Format: | xlsx | | File name: | 391_Heishiding_Performance_Trait_Environment_Data.xlsx | | Description: | We measured two performance metrics (survival and growth), seven traits and three environmental properties for each of 3,981 individuals of 205 species in a 50-ha stem-mapped subtropical forest plot. See details of data description in our file. | | Geolocation: | a 50 ha forest plot | | Temporal coverage: | 5 year | | Taxonomic coverage: | 3,981 individuals of 205 species | | Field list: | Species, quadrat, Survival, RGR, DBH, SLA, LA, LDMC, LNC, LPC, WDMC, WD, SOM, pH, Light |
| Title: | RespTempOz database | | TRY File Archive ID: | 69 | | Rights of use: | Restricted, | | Publication Date: | 2020-09-24 | | Version: | | | Author: | Owen Atkin, ARC Centre of Excellence in Plant Energy Biology, Research School of Biology, Building 134, The Australian National University, Canberra, ACT 2601, Australia | | Contributors: | | | Reference to publication: | Title: Plasticity of leaf respiration temperature responses across thermally contrasting biomes Authors: Lingling Zhu, Keith J. Bloomfield, shinichi Asao, Mark G. Tjoelker, John J. G. Egerton, Lucy Hayes, Lasantha K. Weerasinghe, Danielle Creek, Kevin L. Griffin, Vaughan Hurry, Michael Liddell, Patrick Meir, Matthew H. Turnbull and Owen K. Atkin Year: 2020 Journal: New Phytologist DOI: doi.org/10.1111/nph.16929 | | Reference to data package: | | | DOI: | 10.1111/nph.16929 | | Format: | xlsx | | File name: | 392_RespTempOz database ~ Zhu et al 2020.xlsx | | Description: | | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | Site, Season, Time, Biome, Latitude, Longitude, Mean annual temperature, Annual precipitation, Mean temperature, Precipitation, Fn, VPD, SWS, Responsible, LMA, Nm, Tmax, R25a, R25m, R25n, b, c, CT, FNQ, AM, NT, WA, NSW, TAS, RC, WAR, CP, GWW, Provenance, Origin |
| Title: | Bonetti et al_PCE_2020_Xylem hydraulic conductivity | | TRY File Archive ID: | 70 | | Rights of use: | Public, | | Publication Date: | 2020-09-24 | | Version: | | | Author: | Sara Bonetti, Institute for Sustainable Resources, University College London, London, UK. Email: s.bonetti@ucl.ac.uk | | Contributors: | | | Reference to publication: | Bonetti, S., Breitenstein, D., Fatichi, S., Domec, J.-C. and Or, D. (2020), Persistent decay of fresh xylem hydraulic conductivity varies with pressure gradient and marks plant responses to injury. Plant Cell Environ. https://doi.org/10.1111/pce.13893 | | Reference to data package: | | | DOI: | 10.17871/TRY.70 | | Format: | xlsx | | File name: | 393_Bonetti_etal_PCE2020_Xylem_TRYarchive.xlsx | | Description: | Compilation of 222 xylem hydraulic conductivity measurements | | Geolocation: | Hospital park neighboring the ETH central campus in Zürich | | Temporal coverage: | 2017-2019 | | Taxonomic coverage: | Cedrus atlantica, Pinus nigra, Taxus baccata, Ginkgo biloba, Chamaecyparis lawsoniana, Sequoiadendron giganteum, Picea abies, Carpinus betulus, Acer platanoides, Betula pendula, Corylus colurna, Ulmus minor | | Field list: | Species, Kx |
| Title: | Dataset of leaf inclination angles for 71 different Eucalyptus species | | TRY File Archive ID: | 71 | | Rights of use: | Public, | | Publication Date: | 2020-11-10 | | Version: | | | Author: | Jan Pisek | | Contributors: | | | Reference to publication: | Pisek, J., Adamson, K. (2020). A dataset of leaf inclination angles for 71 different Eucalyptus species. Data in Brief. Data in Brief 33, 106391, doi: 10.1016/j.dib.2020.106391. | | Reference to data package: | | | DOI: | | | Format: | csv | | File name: | 397_Pisek_Adamson_2020_DiB_TRY.csv | | Description: | Trait Data: Name of the trait: leaf inclination angle Short description: -a dataset of leaf inclination angles (6645 individual measurements) for 71 different Australia-native Eucalyptus species measured in 13 botanical gardens around the world -leaf angles reported as differences from a horizontal surface (i.e. flat horizontal leaf = 0 degrees, vertically oriented leaf = 90 degrees). -angles were determined from the images using the public domain image processing software ImageJ (http://rsbweb.nih.gov/ij/) | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | Species, Latitude, Longitude, Altitude..m.a.s.l.., Sampling.Date..mm.dd.yy., Exposition, Maturity, Plant.Growth.Form, Comments..Methods, Reference, measurement |
| Title: | Leaf, trap, and seed traits of carnivorous plants | | TRY File Archive ID: | 72 | | Rights of use: | Restricted, | | Publication Date: | 2020-12-07 | | Version: | | | Author: | Aaron M. Ellison | | Contributors: | Adam Cross (adam.cross@curtin.edu.au), Jonathan Millett (J.Millett@lboro.ac.uk), Robert F. C. Naczi (rnaczi@nybg.org), Sydne Record (srecord@brynmawr.edu) | | Reference to publication: | Included in data file, column BO | | Reference to data package: | | | DOI: | | | Format: | xlsx | | File name: | 394_Carnivorous Plant leaf traits for TRY.xlsx | | Description: | The Carnivorous Plants trait dataset was assembled from published sources, the Seed Information Database of the Kew Botanical Gardens, and unpublished data provided by Adam Cross (Curtin University), Robert Naczi (New York Botanical Garden) and Sydne Record (Bryn Mawr College). This dataset was put together as part of a workshop supported by the New Phytologist Trust, organized by Jonathan Millett (Loughborough University) and Aaron Ellison (Harvard University), and held in October 2018 at the Harvard Forest. The dataset includes measures of leaf and carnivorous trap nutrient concentrations (nitrogen, carbon, phosphorus, potassium; values in %), leaf and carnivorous trap area (values in mm2), leaf and carnivorous trap fresh mass and dry mass (mg); leaf and carnivorous trap mass area (LMA in mg/mm2), and seed mass (mg). Not all variables were measured for each species. The data in the Carnivorous Plants trait database complement other plant trait databases, which lack broad coverage of carnivorous plants. | | Geolocation: | Global except Antarctica and the high Arctic (70 N - ?55 S; all longitudes) | | Temporal coverage: | 1976 - 2020 | | Taxonomic coverage: | Bromeliaceae, Cephalotaceae, Dioncophyllaceae, Droseraceae, Drosophyllaceae, Lentibulariaceae, Nepenthaceae, Plantaginaceae, Lentibulariaceae, Roridulaceae, Sarraceniaceae | | Field list: | Family, Genus, Species, variety, Plant growth habit (aquatic, forb, graminoid, herbaceous vine, liana, shrub, tree), Leaf_N_%_value, Leaf_N_%_n, Leaf_N_%_se, Trap_N_%_value_mean, Trap_N_%_value_type, Trap_N_%_n, Trap_N_%_se, Trap_N_%_sd, Trap_N_%_95CI, Leaf_C_%_value, Leaf_C_%_n, Leaf_C_%_se, Trap_C_%_value, Trap_C_%_n, Trap_C_%_se, Trap_C_%_sd, Leaf_P_%_value, Leaf_P_%_value_type, Leaf_P_%_n, Leaf_P_%_se, Leaf_P_%_95CI, Trap_P_%_value, Trap_P_%_n, Trap_P_%_se, Trap_P_%_sd, leaf_K_%_value, leaf_K_%_value_type, leaf_K_%_n, leaf_K_%_se, leaf_K_%_sd, leaf_K_%_95CI, Trap_K_%_value, Trap_K_%_n, Trap_K_%_se, leaf_d-15N_value, leaf_d-15N_n, leaf_d-15N_sd, Leaf_Area_mm^2_value, Leaf_Area_mm^2_n, Trap_area_mm^2_value, Trap_area_mm^2_n, Trap_area_mm^2_se, Leaf_dr_mass_mg_value, Leaf_dr_mass_mg_n, , trap_dry_mass_mg_value, trap_dry_mass_mg_n, trap_dry_mass_mg_sd, trap_dry_mass_mg_se, Leaf_dry_mass:fresh mass_value, Leaf_dry_mass:fresh mass_n, trap_dry_mass:fresh mass_value, trap_dry_mass:fresh mass_n, Leaf_LMA_mg_mm^-2_value, Leaf_LMA_mg_mm^-2_n, Leaf_LMA_mg_mm^-2_se, Trap_LMA_mg_mm^-2_value, Trap_LMA_mg_mm^-2_n, Trap_LMA_mg_mm^-2_se, seed_mass_mg, , Reference |
| Title: | Wood carbon concentrations in dead wood | | TRY File Archive ID: | 75 | | Rights of use: | Public, | | Publication Date: | 2021-01-05 | | Version: | 1 | | Author: | Adam Martin | | Contributors: | | | Reference to publication: | | | Reference to data package: | | | DOI: | 10.17871/TRY.75 | | Format: | xlsx | | File name: | 404_Martin et al. 2020 TRY Data submission.xlsx | | Description: | Wood carbon concentrations in dead wood. Data is the basis of the analysis published in: Carbon fractions in the world’s dead wood Adam R. Martin, Grant M. Domke, Mahendra Doraisami, Sean C. Thomas Nature Communications In press | | Geolocation: | global | | Temporal coverage: | data from publications dating 1980-2019 | | Taxonomic coverage: | 121 angiosperms and gymnosperm tree species, from 34 families and 74 genera | | Field list: | unique.id, reference.number, division, family, genus, binomial, tissue.type, position, decay.class, cwd.diameter, cwd.length, study.type, wood.c, latitude, longitude |
| Title: | Wood functional traits at different stem-sizes | | TRY File Archive ID: | 76 | | Rights of use: | Restricted, | | Publication Date: | 2021-02-02 | | Version: | | | Author: | Gonzalez, Carrera 23 # 134a-80 apto 404 | | Contributors: | | | Reference to publication: | | | Reference to data package: | | | DOI: | | | Format: | xlsx | | File name: | 407_Wood_traits_TRY.xlsx | | Description: | Wood functional traits (WSG, anatomical and chemical traits) across 20 tropical tree species in a lowland forest of Eastern Amazonia. Wood traits were measured at different radial (i.e. from pith to bark) positions in each tree (see Additional Information for details). | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | WSG, Ff, Tpf, Apf, Rpf, Vf, Vd, Va, Fwt, Ks, P, Ca, K, Mg |
| Title: | Leaf size traits dataset for seven plant species from herbarium vouchers | | TRY File Archive ID: | 77 | | Rights of use: | Public, | | Publication Date: | 2021-05-28 | | Version: | | | Author: | Vamsi Krishna Kommineni, Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10, 07745 Jena | | Contributors: | Vamsi Krishna Kommineni, Susanne Tautenhahn, Pramod Baddam, Jitendra Gaikwad, Barbara Wieczorek, Abdelaziz Triki, Jens Kattge | | Reference to publication: | Vamsi Krishna Kommineni, Susanne Tautenhahn, Pramod Baddam, Jitendra Gaikwad, Barbara Wieczorek, Abdelaziz Triki, Jens Kattge, Comprehensive leaf size traits dataset for seven plant species from digitised herbarium specimen images covering more than two centuries, DOI: 10.5281/zenodo.4818530 | | Reference to data package: | | | DOI: | 10.5281/zenodo.4818530 | | Format: | zipped csv, pdf | | File name: | Leaf size traits dataset for seven plant species from herbarium vouchers.zip | | Description: | The data were produced from the digital herbarium specimen images (available in iDigBio and GBIF) using TraitEx tool (semi-automated tool useful to measure morphological, functional traits from digital herbarium specimens). This data set is created to identify the drivers of intraspecific trait variability in space and time using machine learning techniques. This data set will provide the opportunity to explore the data over the past two centuries in both time and space. | | Geolocation: | World | | Temporal coverage: | 1762-8-03 - 2018-9-12 | | Taxonomic coverage: | Plantae | | Field list: | multiple files |
| Title: | Wood carbon concentrations and climate correlates | | TRY File Archive ID: | 78 | | Rights of use: | Public, | | Publication Date: | 2021-06-15 | | Version: | 1 | | Author: | Adam Martin | | Contributors: | Adam Martin | | Reference to publication: | Carbon concentration in the world’s trees across climatic gradients Nicholas J. Paroshy, Mahendra Doraisami, Rosalyn Kish, and Adam R. Martin New Phytologist In press | | Reference to data package: | | | DOI: | 10.17871/TRY.78 | | Format: | xlsx | | File name: | Paroshy et al. 2021 Dataset.xlsx | | Description: | Wood carbon (C) concentration data extracted and compiled from peer-reviewed published papers. Dataset includes only species-specific and geo-referenced wood C data points. Coordinates from papers were used in conjunction with WorldClim to extract associated climate and bioclimatic variables (also included here). | | Geolocation: | global | | Temporal coverage: | data from publications dating 1980-2020 | | Taxonomic coverage: | 415 angiosperms and gymnosperm tree species, from 87 families and 242 genera | | Field list: | unique.id, reference.number, year, type, family, genus, binomial, tissue, wood.c, biome.whittaker, region, country, latitude.r, longitude.r, elev, bio.MAT, bio.MAP, bio.MDR, bio.isothermality, bio.temp_seasonality, bio.maxtemp, bio.mintemp, bio.temp_annual_range, bio.mean_temp_wettest_quarter, bio.mean_temp_driest_quarter, bio.mean_temp_warmest_quarter, bio.mean_temp_coldest_quarter, bio.prec_wettest_month, bio.prec_driest_month, bio.prec_seasonality, bio.prec_wettest_quarter, bio.prec_driest_quarter, bio.prec_warmest_quarter, bio.prec_coldest_quarter, temp.Jan, temp.Feb, temp.Mar, temp.Apr, temp.May, temp.Jun, temp.Jul, temp.Aug, temp.Sep, temp.Oct, temp.Nov, temp.Dec, prec.Jan, prec.Feb, prec.Mar, prec.Apr, prec.May, prec.Jun, prec.Jul, prec.Aug, prec.Sep, prec.Oct, prec.Nov, prec.Dec |
| Title: | CNP seed nutrient content | | TRY File Archive ID: | 79 | | Rights of use: | Restricted, | | Publication Date: | 2021-06-24 | | Version: | | | Author: | Mašková Tereza | | Contributors: | Mašková Tereza | | Reference to publication: | Interspecific differences in maternal support in herbaceous plants: CNP contents in seeds varies to match expected nutrient limitation of seedlings Mašková Tereza, Herben Tomáš, OIKOS In press | | Reference to data package: | | | DOI: | 10.1111/oik.08186 | | Format: | xlsx | | File name: | 173_stoichiometry.xlsx | | Description: | Seed nitrogen (N), phosphorus (P), starch, fructans and oil content. | | Geolocation: | Central Europe | | Temporal coverage: | | | Taxonomic coverage: | 511 Eu-dicot and Monocot herbaceous species from 51 families | | Field list: | Genus, Species, Seedmass, %P, %N, %starch, %fructans, %oils |
| Title: | Data for: Functional traits shape tree species distribution in the Himalayas | | TRY File Archive ID: | 80 | | Rights of use: | Restricted, | | Publication Date: | 2021-08-03 | | Version: | | | Author: | Surya Kumar Maharjan, Institute of Forestry, Hetauda Campus, PO Box 34, Main Road, Hetauda-10, Makawanpur, Nepal | | Contributors: | | | Reference to publication: | Maharjan S.K., Sterck F.J., Dhakal B.P., Makri M., Poorter L. (in press). Functional traits shape tree species distribution in the Himalayas. Journal of Ecology | | Reference to data package: | | | DOI: | 10.17871/TRY.80 | | Format: | xlsx in zip | | File name: | 443_Tree_traits_data_Himalayas_Nepal.zip | | Description: | We selected 31 common tree species that partitioned the Himalayan elevational gradient. To adequately describe species’ trait values and account for altitudinal trait variation, we sampled for each species 6 trees; three trees from the lower limits of their elevational distribution ranges and three trees from the upper limits. To assure that the traits are fully expressed, we sampled healthy-looking trees with sun-exposed crowns (crown illumination index ?2.5, Clark and Clark, 1992). To reduce ontogenetic variation, we sampled adult trees with a stem diameter at breast height (DBH) between 10 and 30 cm. We selected 39 traits that are important for resource acquisition, use and conservation and play a key role in defence, metabolism, or adaptation to harsh environmental conditions (e.g. freezing, drought, and low nutrients availability). Traits were measured following standardized protocols (Pérez-Harguindeguy et al., 2013; Scholz et al., 2013; Zhang et al., 2016). We measured 8 whole-plant traits, 21 branch traits, and 10 leaf traits. | | Geolocation: | Central Himalayas, Nepal | | Temporal coverage: | October - December 2017 | | Taxonomic coverage: | Tree species (Gymnosperms and Angiosperms) | | Field list: | Species name, Tree id, Waypoint id, Latitude, Longitude, Elevation (m), Aspect (degree), Slope (degree), Tree height (m), Basal area (cm2), Crown width (m), Crown base height (m), Crown length (m), Tree height diameter ratio (m/cm), Branching architecture (count), Branch density (g/cm3), Wood density (g/cm3), Bark density (g/cm3), Branch dry matter content, Wood dry matter content, Bark dry matter content, Bark thickness (mm), Specific branch length (cm/g), Branch cross-sectional area (mm2), Bark proportion, Pith proportion, Xylem proportion, Conduit diameter (mm), Conduit density (count/mm2), Conduit lumen fraction, Leaf area (cm2), Specific leaf area (cm2/g), Leaf thickness (mm), Leaf dry matter content, Leaf density (g/cm3), Leaf chlorophyll content (micro g/cm2), Leaf N concentration (%), Leaf P concentration (%), Leaf K concentration (%), Leaf area per branch length (cm2/cm), Leaf number per branch length (count/cm), Leaf area per xylem area (cm2/mm2), Leaf mass fraction (g/g), Leaf area ratio (cm2/g), Deciduous, Leaf hairs, Coniferous |
| Title: | The global spectrum of plant form and function dataset | | TRY File Archive ID: | 81 | | Rights of use: | Public, CC BY | | Publication Date: | 2022-04-12 | | Version: | 1.0 | | Author: | Sandra Díaz, Consejo Nacional de investigaciones Científicas y Técnicas, Instituto Multidisciplinario de Biología Vegetal (IMBIV), Córdoba, Argentina | | Contributors: | Jens Kattge, Max Planck Institute for Biogeochemistry, Jena, Germany; Gerhard Bönisch Max Planck Institute for Biogeochemistry, Jena, Germany, and the TRY Consortium | | Reference to publication: | Díaz, S. et al.(2016) The global spectrum of plant form and function. Nature 529, 167-171, doi:10.1038/nature16489 | | Reference to data package: | Díaz, S. et al. (in review) The global spectrum of plant form and function: enhanced species level dataset. Scientific Data | | DOI: | 10.17871/TRY.81 | | Format: | zipped xlsx | | File name: | 480_Dataset.zip | | Description: | The Global Spectrum of Plant Form and Function Dataset, contains species mean values for six vascular plant traits: plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass. Together, these traits define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data sources. It provides 92,159 species mean values for the six traits, covering 46,047 vascular plant species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information | | Geolocation: | Global | | Temporal coverage: | Recent | | Taxonomic coverage: | Vascular plants | | Field list: | TRY 30 AccSpecies ID, Species name standardized against TPL, Taxonomic level, Status according to TPL, Genus, Family, Phylogenetic Group within angiosperms, Phylogenetic Group General, Adaptation to terrestrial or aquatic habitats, Woodiness, Growth Form, Succulence, Nutrition type (parasitism), Nutrition type (carnivory), Leaf type, Leaf area (mm2), Leaf area (n.o.), Nmass (mg/g), Nmass (n.o.), LMA (g/m2), LMA (n.o.), Plant height (m), Plant height (n.o.), Diaspore mass (mg), Diaspore mass (n.o.), SSD observed (mg/mm3), SSD (n.o.), LDMC (g/g), LDMC (n.o.), SSD imputed (mg/mm3), SSD combined (mg/mm3), Number of traits with values |
| Title: | Global Vessel Diameter and Vessel Wall Thickness Dataset | | TRY File Archive ID: | 82 | | Rights of use: | Public, CC BY | | Publication Date: | 2022-05-11 | | Version: | 1.0 | | Author: | Emilio Petrone, Instituto de Biología, Universidad Nacional Autónoma de México, Tercer Circuito s/n de Ciudad Universitaria, Ciudad de México, 04510 México | | Contributors: | | | Reference to publication: | Echeverría, A., Petrone-Mendoza, E., Segovia-Rivas, A., Figueroa-Abundiz, V.A., and Olson, M.E. (2022), The Vessel Wall Thickness-Vessel Diameter Relationship Across Woody Angiosperms. American Journal of Botany. DOI: 10.1002/ajb2.1854 | | Reference to data package: | | | DOI: | 10.17871/TRY.82 | | Format: | xlsx | | File name: | 815_VesselDiameterVesselWallThickness.xlsx | | Description: | Anatomical variables from 1093 samples, 858 species, 350 genera, 86 families, and 33 orders from the flowering plants | | Geolocation: | Global | | Temporal coverage: | Data collected from Sherwin Carlquist's publications (from 1955 to 2018) | | Taxonomic coverage: | Flowering plants | | Field list: | Order, family, genus, species, authority, collector, collection, Organ, Stem Diameter, Vessel diameter, Vessel group index, Vessel wall thickness, Vessel Perforation plate type, Imperforate tracheary element (ITE) type, ITE diameter, ITE wall thickness, Growth habit (self or non-self supported), double wall thickness, citation |
| Title: | Data from: A trait?environment relationship approach to participatory plant breeding for organ | | TRY File Archive ID: | 83 | | Rights of use: | Restricted, | | Publication Date: | 2022-05-27 | | Version: | | | Author: | Isaac Marney | | Contributors: | | | Reference to publication: | Rolhauser AG, Windfeld E, Hanson SJ, Wittman H, Thoreau C, Lyon A, Isaac ME. 2022. A trait?environment relationship approach to participatory plant breeding for organic agriculture. New Phytologist, accepted | | Reference to data package: | | | DOI: | 10.17871/TRY.83 | | Format: | xlsx | | File name: | 481_Rolhauser etal 2022 New Phytol - data.xlsx | | Description: | Data from A trait?environment relationship approach to participatory plant breeding for organic agriculture Andres G. Rolhauser, Emma Windfeld, Solveig Hanson, Hannah Wittman, Chris Thoreau, Alexandra Lyon, and Marney E. Isaac Published in New Phyotologist The experimental design resulted in 405 carrot plants sampled in a nested design with the following structure: 9 farms, 5 plots within each farm (i.e. one for each variety), 3 subplots within each plot, and 3 individual plants within each subplot. However, given the logistics of our field campaign, five physiological measurements were not possible within the optimal measurement timeframe. We therefore excluded these five plants from our dataset (representing ~1% of the total sample size). After transformation and standardization (see text), we identified and removed 2 outliers (extremely high leaf area values), leading to a total of 398 sampling units (plants) for subsequent analyses. The dataset presented here contains information for these 398 sampling units and will be sufficient for reproducing the results in the corresponding article. A key explaining the name and units of each variable is included in the file. | | Geolocation: | Across Canada | | Temporal coverage: | 2019 growing season | | Taxonomic coverage: | Daucus carota subsp. sativus (cultivated carrot) | | Field list: | unique, farm, variety, plot, subplot, plant, mat, map, gdd, frost, Asat, Cond, TR, WUE, PD, Lmass, LA, LMA, TL, TD, Tdry_mass, TTD, SC, SN, SP |
| Title: | Baker et al 2022 New Phyt. Flammability and Volatiles data | | TRY File Archive ID: | 84 | | Rights of use: | Public, | | Publication Date: | 2022-05-27 | | Version: | | | Author: | Rebecca Dewhirst, 30780 Santana St, Hayward, CA 94709, USA | | Contributors: | | | Reference to publication: | Baker SJ, Dewhirst RA, McElwain JC, Haworth M, Belcher CM. 2022. CO2-induced biochemical changes in leaf volatiles decreased fire-intensity in the run-up to the Triassic-Jurassic boundary. New Phytologist (accepted, not yet published) | | Reference to data package: | | | DOI: | 10.17871/TRY.84 | | Format: | xlsx | | File name: | 482_NewPhytData_Baker2022.xlsx | | Description: | Data including intrinisic flammability (microcalorimeter), volatile compounds (GC-MS) and lignin content for Agathis australis, Dicksonia antartica and Ginkgo biloba grown in control and high CO2 conditions. | | Geolocation: | Growth chamber, University College Dublin | | Temporal coverage: | 18 months | | Taxonomic coverage: | Agathis, Dicksonia, Ginkgo | | Field list: | multiple sheets |
| Title: | Root Systems of Individual Plants (RSIP) | | TRY File Archive ID: | 85 | | Rights of use: | Public, | | Publication Date: | 2022-06-22 | | Version: | 3 | | Author: | Shersingh Joseph Tumber-Dávila ;Harvard Forest, Harvard University, 324 N Main St, Petersham, MA, 01366 USA | | Contributors: | | | Reference to publication: | Tumber-Dávila, S.J., Schenk, H.J., Du, E. and Jackson, R.B. (2022), Plant sizes and shapes above and belowground and their interactions with climate. New Phytol. | | Reference to data package: | | | DOI: | 10.6073/pasta/64db23a582f3e9afd3cdf6d7029b2b78 | | Format: | zipped csv | | File name: | 483_RSIP.zip | | Description: | The above- and below-ground sizes and shapes of plants strongly influence plant competition, community structure, and plant-environment interactions, but the plant size and shape across climate regimes remain incompletely understood. In this study I seek to understand how plant geometries respond to varying climates via trade-offs in shoot height and width, and root depth and spread. I more than doubled the Root Systems of Individual Plants (RSIP) database to contain 5,647 observations, to our knowledge the largest database describing the maximum rooting depth, lateral spread, and shoot size of terrestrial plants in the world. Shoot size and root system size strongly covary. Across climatic gradients woody plants show deeper-narrower root systems in arid climates and taller shoots in humid climates. Phylogeny greatly influences shoot size. Rooting depth is primarily influenced by climate seasonality and lateral root spread is strongly influenced by shoot size. Using our newly expanded global database I found that shoot size covaries strongly with rooting system size; however, these relationships are not static across the climate space, as the geometries of plants shift considerably. The database contains various measures of plant size, focusing on the maximum rooting depth and lateral spread of individual plants, but also includes maximum shoot size and width. The RSIP dataset integrates observations of the vertical and horizontal extents of individual plants with data for other plant traits. The RSIP data come from published observations of maximum plant root system dimensions, 361 publications, covering 2989 species from 263 plant families. The first version of the RSIP (Schenk & Jackson, 2002a) included 1305 observations for water-limited ecosystems, and second version (Schenk & Jackson, 2005) included 2449 observations across a broader range of climates. Our expanded RSIP, with 5647 total observations, includes a range of root and shoot sizes spanning more than four orders of magnitude across most of the Earth’s climates and environments. The RSIP entries are classified by physiology and functional traits, including six growth forms: forbs (30% of observations), grasses (18%), semi-shrubs (shrub species and suffrutescent forbs that rarely reach 1?m in height; 10%), shrubs (12%), stem succulents (2%), and trees (28%). We also record coarse-scale information on the plant’s environment and location, such as biome, elevation, and spatial coordinates. There are, however, fine-scale environmental parameters, such as soil traits, that cannot be accurately estimated based on the spatial coordinates for the RSIP entries. The RSIP contains measurements describing the maximum above and belowground dimensions of individual plants at the time of measurement. Maximum rooting depth DR (n?=?5633) is defined as the deepest soil depth reached by the roots of an individual plant. Two additional belowground dimensions in the database include lateral spread LR (n?=?2874), the maximum one-sided horizontal distance from the stem of an individual plant reached by its roots (i.e. the radius), and root system width WR (n?=?1756), the maximum root system diameter, which is not always the same as 2?×?LR because most root systems are asymmetrical. The main aboveground dimensions in the database are shoot height HS (n?=?2373) and shoot width WS (n?=?2074), the maximum shoot diameter. Shoot volume VS was estimated using an ellipsoid shape ( VS(m3)=?×HS×W2S/6 ). The maximum dimensions of an individual plant at the time of excavation had to be directly measured to be included in the RSIP; observations were excluded from the RSIP if the sampling depth was less than the perceived max rooting depth, if allometric equations or other formulas were used to predict plant dimensions, or if the measurements were an aggregate of multiple observations and were not the dimensions of an individual plant. | | Geolocation: | Global | | Temporal coverage: | NA Static measurements of plant size collected throughout the 20th and 21st century | | Taxonomic coverage: | 2989 species from 263 plant families | | Field list: | ID, Reference, Species, Synonym, Family, Growth_form, Life_span, Tissue, Seed_Cat, Leaf_strategy, Leaf_form, PS_type, Dr, Lr, Wr, Dl, Hs, Ws, DBH, Vr, Vs, Drel, Lrel, Y_Xshoot, Y_Xroot, S_Ry, S_Rx, Biome, Eco_Name, Realm, Eco_ID, Vegetation, Location, Lat, Long, Spatial_buffer, Elevation, Soil_description, USDA_soil_texture, EU_soil_texture, Water_Table_Depth_Fan, BIO1, BIO2, BIO3, BIO4, BIO5, BIO6, BIO7, BIO8, BIO9, BIO10, BIO11, BIO13, BIO14, BIO15, BIO16, BIO17, BIO18, BIO19, MAP, MAE, Ai, Sa, Msur, Mdef, Psur, Pdef, Rclass, Rregime, Aclass |
| Title: | Mean leaf trait values of 25 Quercus species | | TRY File Archive ID: | 86 | | Rights of use: | Restricted, | | Publication Date: | 2022-06-22 | | Version: | | | Author: | David Alonso-Forn, Departamento de Sistemas Agrícolas, Forestales y Medio Ambiente (SAFMA), Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Avda. Montańana 930, 50059 Zaragoza, Spain, e-mail: dalonso@cita-aragon.es | | Contributors: | David Alonso-Forn, Domingo Sancho-Knapik, María Dolores Farińas, Rubén Martín-Sánchez, Juan Pedro Ferrio, José Javier Peguero-Pina, Tomás Gómez Álvarez Arenas, Eustaquio Gil-Pelegrín | | Reference to publication: | | | Reference to data package: | | | DOI: | 10.17871/TRY.86 | | Format: | xlsx | | File name: | 484_Alonso-Forn_Quercus.xlsx | | Description: | The dataset includes leaf mechanical resistance measures, LMA, anatomical measures, Nitrogen, Carbon and fiber concentrations of 25 oak species from around the Northern Hemisphere, sampled in a living collection in Zaragoza, Spain. Oak trees were c.a. 20 years old; they were drop irrigated twice per week and pruned if it was necessary. Current year, fully developed, mature leaves were collected from south-exposed branches during the early morning | | Geolocation: | Leaves were sampled from a Quercus living collection, maintained in the experimental fields from CITA de Aragón, Zaragoza, Spain (41°390N, 0°520W, 200 m a.s.l.). | | Temporal coverage: | 2018 | | Taxonomic coverage: | 25 oak species (genus Quercus), covering sections Ilex, Cerris, Cyclobalanopsis, Quercus, Protobalanus and Lobatae | | Field list: | Species name, Leaf habit, Section, Punch strength, Specific punch strength, Work to fracture, Specific work to fracture, Leaf mass per area, Leaf thickness, Leaf density, Hemicellulose concentration, Cellulose concentration, Lignin + cutin concentration, Nitrogen concentration, Carbon concentration, Palisade mesophyll thickness, Palisade cell length, Palisade cell width, Spongy mesophyll thickness, Spongy porosity, Upper epidermis thickness, Upper epidermis outer layer, Upper epidermis lumen width, Upper epidermis lumen length, Upper epidermis lateral wall, Upper epidermis lumen area, Lower epidermis thickness, Lower epidermis outer layer, Lower epidermis lumen width, Lower epidermis lumen length, Lower epidermis lateral wall, Lower epidermis lumen area, Bundle sheath extension density, Bundle sheath extension cover percentage and Bundle sheath extension width |
| Title: | Root tip morphology of Macaranga and Shorea in Pasoh Forest Reserve of Peninsula Malaysia | | TRY File Archive ID: | 87 | | Rights of use: | Restricted, | | Publication Date: | 2022-07-22 | | Version: | | | Author: | Shin Ugawa, Japan | | Contributors: | | | Reference to publication: | | | Reference to data package: | | | DOI: | 10.17871/TRY.87 | | Format: | xlsx | | File name: | 490_FineRootAndEnvironmentDataForTRY.xlsx | | Description: | Specific root tip length, root tip diameter, root tip tissue density of tree individuals for 5 Macaranga species and 8 Shorea species; the environmental factors around tree individuals for 5 Macaranga species and 8 Shorea species | | Geolocation: | Around IBP 6 ha plot in Pasoh Forest Reserve | | Temporal coverage: | August 26-31, 2015 | | Taxonomic coverage: | Two genus Macaranga and Shorea | | Field list: | Site, Latitude, Longitude, Altitude(m), Exposition, TreeNo, Species, Genus, PlantMaturity, PlantGrowthForm, TreeHeightIn2014-2015, TreeHeightIn2014, TreeHeightIn2015, RootSamplingYear, RootSamplingDate, RootTipDiameter, SpecificRootTipLength, RootTipTissueDensity, Comments, EnvironmentMeasurmentYear, GapLightIndex, SandContent, SoilBulkDensity, SoilAmmonificationRate, SoilNitrificationRate, SoilNitorogenMineralizationRate |
| Title: | TraitEvolAlpBrassi2020 | | TRY File Archive ID: | 88 | | Rights of use: | Restricted, | | Publication Date: | 2022-09-08 | | Version: | | | Author: | Alessio Maccagni, c/o Giardino Botanico del Canton Ticino (BRISS), Isole di Brissago, Casella postale 245, CH-6614 Brissago | | Contributors: | | | Reference to publication: | Maccagni and Willi, in prep. Trait divergence and trade-offs among Brassicaceae species differing in elevational distribution. Maccagni and Willi, 2021. Niche breadth and elevational range size: a comparative study on Middle-European Brassicaceae species (10.1098/rstb.2021.0005); | | Reference to data package: | | | DOI: | | | Format: | csv | | File name: | 457_MaccagniWilli_UBas_M01MacroEvolBrassi.csv | | Description: | The dataset contains measurements of different traits from about 100 species of Brassicaceae native to Central Europe. Values were recorded under controlled conditions using 3 distinct temperature regimes. Values are reported at the maternity line level. | | Geolocation: | Central Alps | | Temporal coverage: | 2017-2018 | | Taxonomic coverage: | Brassicaceae | | Field list: | data_owner, dataset_name, dataset_ref, doi, plant_growth_form, species, median_elevation, taxa_code, population_id, sampling_year, maturity, health_status, exposition, exposition_details, treatment_details, treatment, sowing_id, full_trait_name, trait_id, mean, sd, unit, Seeds size, Resistance(+)T1, Resistance(+)T2, Resistance(-)T1, Resistance(-)T2, Leaf area, Asymptotic size (ASYM), Time to fastest growth (XMID), Leaf dry matter content, Specific leaf area, Time to germination, Leaf number, Leaf dissection index, Initial growth rate (IGR), Tolerance MGR, Maximal growth rate (MGR), Tolerance IGR, Leaf thickness, Tolerance ASYM, Tolerance XMID |
| Title: | TRY 6.0 – Site Information | | TRY File Archive ID: | 89 | | Rights of use: | Public, | | Publication Date: | | | Version: | 1.0 | | Author: | Gerhard Bönisch, Max Planck Institute for Biogeochemistry, Jena, Germany | | Contributors: | Jens Kattge, Uli Weber (MPI-BGC, Jena, Germany) | | Reference to publication: | Dataset: Kattge, J. et al. (2011b) TRY - a global database of plant traits.
Global Change Biology 17:2905-2935.
Climate: Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.
Climate Classes: M. C. Peel, B. L. Finlayson, and T. A. McMahon (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci., 11, 1633–1644
Soil: FAO/IIASA/ISRIC/ISSCAS/JRC, 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria.
| | Reference to data package: | | | DOI: | | | Format: | Zipped archive: data file Excel 2010 and txt, documentation files pdf, data use agreement pdf | | File name: | TRY_6_Site_Climate_Soil.zip | | Description: | Climate, soil and biome information for sites in the TRY database:
Climate: WorldClim – Global Climate Data Version 1.4 (release 3): http://www.worldclim.org/ accessed 2011/11/10
Soil: HWSD Harmonized World Soil Database v1.2 http://www.iiasa.ac.at/Research/LUC/External-World-soil-database/HTML
Accessed: 2011/11/10
BIOME: M. C. Peel, B. L. Finlayson, and T. A. McMahon (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci., 11, 1633–1644
| | Geolocation: | Global | | Temporal coverage: | Current | | Taxonomic coverage: | Not applicable | | Field list: | LON_site, LAT_site, ObservationId, TempAnnMean_DegC, PrecipAnnMean_mm, TempMean01, TempMean02, TempMean03, TempMean04, TempMean05, TempMean06, TempMean07, TempMean08, TempMean09, TempMean10, TempMean11, TempMean12, PrecipMean01, PrecipMean02, PrecipMean03, PrecipMean04, PrecipMean05, PrecipMean06, PrecipMean07, PrecipMean08, PrecipMean09, PrecipMean10, PrecipMean11, PrecipMean12, Isothermality, TemperatureSeasonality, KoeppenGeigerID, AWC_mm, S_Clay_%, S_Gravel_%, S_OC_%, S_Sand_%, S_Silt_%, T_Clay_%, T_Gravel_%, T_OC_%, T_Sand_%, T_Silt_% |
| Title: | TRY Database version 6.0: z-scores for outlier detection | | TRY File Archive ID: | 90 | | Rights of use: | Public, | | Publication Date: | 2022-10-25 | | Version: | | | Author: | Jens Kattge, Max Planck Institute for Biogeochemistry, Hans Knöll Str. 10, 07745 Jena, Germany | | Contributors: | Jens Kattge, Gerhard Boenisch | | Reference to publication: | Kattge J., Boenisch G. (2019) TRY Database version 5.0: z-scores for outlier detection | | Reference to data package: | | | DOI: | | | Format: | Tab delimited text in zip archive | | File name: | TRY6_OutlierDetection.zip | | Description: | In the context of data curation to generate a new version of the TRY database, the units of numerical traits with more than 1000 records are standardized, obvious errors are corrected, and duplicates and outliers are flagged. | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | ObsDataID, OlSpCount, OlSp, OlGeCount, OlGe, OlFaCount, OlFa, OlAllCount, OlAll, OlGwCount, OlGw |
| Title: | Wooded Pastures forbs - above- and belowground functional traits | | TRY File Archive ID: | 91 | | Rights of use: | Public, | | Publication Date: | 2022-10-14 | | Version: | 1 | | Author: | Pierre Vollenweider, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, CH-8903 Birmensdorf, Switzerland | | Contributors: | Pierre Vollenweider, Georg von Arx, Géraldine Hildbrand, Davide De Masi | | Reference to publication: | Vollenweider P., Hildbrand G., De Masi D., Gavazov K., Zufferey V., Buttler A. & von Arx G. (2022) Above- and belowground functional trait data from wooded pastures forbs under experimental climate forcing in a transplantation experiment performed in the Jura Mountains, Switzerland. TRY Plant Trait Database, https://doi.org/10.17871/TRY.91 | | Reference to data package: | | | DOI: | 10.17871/TRY.91 | | Format: | zipped xlsx | | File name: | 497_WoodedPastures Forbs - forb functional traits.zip | | Description: | Physiological and morpho-anatomical functional traits measured above- and belowground over one year (2011-2012) in two typical forb species of wooded pastures from the Jura Mountains, Switzerland (Alchemilla monticola & Taraxacum officinale). This dataset was obtained in the framework of a transplantation experiment conducted downslope, along an elevational temperature and precipitation gradient on the lee side of Jura Mountains, Switzerland (up to +4.17 °C and -35% precipitation). Its main objective was to test the effects of warmer and drier climate conditions on wooded pasture soils and associated plant communities, as projected for the years 2050 and 2100 applying the RCP 4.5 or RCP 8.5 climate scenarios (space-for-time substitution approach). | | Geolocation: | Jura Mountains, South Western Switzerland | | Temporal coverage: | 2011-2012 | | Taxonomic coverage: | Clade/Order/Family: Rosids/Rosales/Rosaceae & Asterids/Asterales/Asteraceae | | Field list: | foliar traits: gas exchange, temperature response curves, foliage dynamics, leaf morphology, thickness of leaf tissues and cuticula; root traits: root base size, hydraulic architecture, Alchemilla's starch storage; environmental data: VPD, SMC - (multiple files; parameter explanations provided in readme worksheets) |
| Title: | Grapevine adventitious root traits | | TRY File Archive ID: | 92 | | Rights of use: | Public, | | Publication Date: | 2022-10-27 | | Version: | | | Author: | Dilmini Alahakoon1, Anne Fennell1 South Dakota State University Brookings, SD 57006 | | Contributors: | | | Reference to publication: | Dilmini Alahakoon1, Anne Fennell1*. Genetic analysis of grapevine root system architecture and loci associated gene networks. Frontiers in Plant Science | | Reference to data package: | | | DOI: | 10.17871/TRY.92 | | Format: | xlsx | | File name: | 498_Fennell_Alahakoon_Grapevine_Adventitious_Root_Data.xlsx | | Description: | The Vitis spp. ‘VRS-F2’ diploid grapevine population was produced by selfing a single V. sp. F1 ‘16_9_2’ developed from a cross between V. riparia Michx. (seed parent, ‘Manitoba 37’, PI#588289) and V. sp. ‘Seyval blanc’ (pollen parent, VIVC#11558) (Fennell et al., 2005). Six-year-old potted VRS-F2 vines for this study were cycled annually through the greenhouse and cold storage in South Dakota State University, Brookings, SD (44.31? N, 96.80? W). The ecodormant vines were root pruned and repotted in soil, perlite, and peat growing medium (1:2:2 by volume) and grown five months, induced into dormancy by natural short daylengths and returned to cold storage after harvesting canes. Dormant replicate canes were collected from 239 F2 individuals, the population parent, and grandparents in early November and stored at 40C as three-node cuttings (nodes 3-5 from the cane base) keeping genotype identity. For this study, chilling fulfilled canes were placed in a container with 10 cm water layer to ensure uniform hydration. After three days of hydration, single node cuttings with swollen buds (six cm cane sections) were selected from the center of the 3-node cutting and placed randomly in a rooting box (60×45×15 cm (length x width x depth)) of perlite. Six replicate cuttings were used for each VRS-F2 genotype and 28 replicates for the F1 parent and 18 replicates for each grandparent. Cuttings were placed randomly (maintaining identity) 7.5 cm apart within row and between row spacing. The root boxes were flooded and drained daily to maintain uniform moisture content. The rooting study was conducted in the greenhouse with >14-hour natural daylength at 26±30C and 80% relative humidity. After 35 days, plants were harvested and cleaned using tap water to remove all perlite particles. Samples (in plastic bags with 1 ml of water) were stored in the cooler at 40C until scanning. Genotypes and their replicate-identity were maintained throughout the experiment. Each root system was scanned using Epson scanner (PERFECTION V700PHOTO, Seiko Epson Corporation, Tokyo, Japan). Each root system was scanned twice (two different faces on scanner) to get the mean traits. The length of the longest root was measured with a ruler. All the roots were then cut off at the collar region and cane section length and diameter were measured. The root fresh weight (FW) was measured, and the roots were dried at 600C for 48 hours and the dry weight (DW) measured. Finally, the diameter (CD) and length (CL) of the single node cane section were measured manually. Eleven traits related to RSA were measured using WinRhizo software Reg 2016a (Regent Instruments Inc, Quebec, Canada). The root and propagule traits were categorized into four groups (total root system characters, individual root characters, average root characters, and stem characters) based on their morphology (Table 1). We used both trait and/or category names throughout the study as needed for easy explanation and visualization. | | Geolocation: | | | Temporal coverage: | | | Taxonomic coverage: | | | Field list: | Surface area, Root volume, Total root length, Fresh weight, Dry weight, Number of tips, Number of forks, Number of links, Longest root, Average diameter, Average link length, Average link surface area, Average link diameter, Average link branching angle, Cane propagation section traits, Cane section diameter, Cane section length |
| Title: | Morphological traits of lowland and alpine species from the Calanda mountain, eastern Swiss Alps | | TRY File Archive ID: | 93 | | Rights of use: | Restricted, | | Publication Date: | 2022-11-02 | | Version: | 1.0 | | Author: | Prof. Dr. Jake Alexander, ETH Zürich, Dep. of Environmental Systems Science, Institut für Integrative Biologie, CHN H 66, Universitätstrasse 16, 8092, Zürich, Switzerland | | Contributors: | | | Reference to publication: | Visakorpi K, Block S, Pellisier L, Levine JM, Alexander JM. 2022.Plant water use strategy determines winners and losers under climate change. Authorea. January 17, 2022. DOI: 10.22541/au.164240774.49836932/v1 Visakorpi K, Block S, Pellisier L, Levine JM, Alexander JM. 2022. Eco-physiological and morphological traits explain alpine plant species’ response to warming. Functional Ecology | | Reference to data package: | | | DOI: | | | Format: | zipped csv | | File name: | 500_calanda_traits_TRY.zip | | Description: | Functional trait data for Calanda species contact: Sebastian Block (seblun@gmail.com) 24 columns / 1257 rows (each corresponding to an individual plant) The CSV file "calanda_morphological_traits.csv" contains functional trait data of 41 plant species in the Calanda mountain (Grisons, Switzerland). Of the 41 species, 28 are high-elevation species (measured at a site at 2050 m elevation), and 13 are low-elevation species (1400 m elevation). In this dataset, the 2050-m site is referred to as "Source" and its coordinates are 46.889844° N, 9.485655° E. The 1400-m site is referred to as "Nes" and its coordinates are 46.869208ş N, 9.490178ş E. Leaf traits: We collected between 2 and 3 leaves from 6 to 9 (mostly 8) individuals of species abundant in Changa experiment at the source site on late August 2019. We wrapped leaves in moist paper, put them in a ziploc bag and transported them back to Zurich, were we put them in a fridge (4 degrees C) until we measured their thickness and scanned them, always within 48 hours of collection. After scanning, we dried them in an oven at 70 degrees Celsius for at least 72 hours (but often several days) before weighing them. A similar protocol was used in 2018 to measure leaf traits of 13 low-elevation focal species. The dataset contains the following variables: * ID: unique identifier of individual plants. It contains a species code (three first letters of genus followed by three first letters of specific epithet), a two-digit number indicating year (18 or 19), the number 1 (indicating that this was the first round of trait measurements - but note that there was only one round on 2018 and 2019), and a number identifying the individual plant. For example: Achmil.19.1.23 indicates individual 23 of Achillea millefolium, sampled in 2019. * Height_v: Height of plants in millimeters without including reproductive parts. For example, for Salvia pratensis, only the height of rosette leaves was recorded. Measured without streching. * Height_r: Height of plants in millimeters including reproductive parts. Measured without streching. * Lat_1: Lateral spread of the canopy in mm. Maximum horizontal distance from the point where a plant was rooted to an external canopy leaf as seen directly from above. * Lat_2: Maximum horizontal distance (in mm) perpendicular to Lat_1, from rooting point to external canopy leaf as seen directly from above. * Root_depth: Maximum rooting depth in millimeters. We carefully excavated the root system following the roots as deep as possible before breaking them. Measured without streching. * Root_lat: Maximum horizontal distance (in mm) of a root from the rooting point. Measured without streching. * Species: species latin name * Date: date of field trait measurements. Format "dd.mm.yy" * Botanist: Initials of person who did field measurements. CB = Camille Brioschi; MJ/MJM = Marc-Jacques Maechler; SB = Sebastian Block; SIS = Simon Schmidt; SK = Saran Karadaghi; SM = Swanee Messerli; TS = Timia Sanchez * Site: Field site where plants were measured. Nes = Nesselboden; Source = source site at 2050 m * Elevation: site elevation in meters above sea level * Comment: any comment about measurements or plant characteristics. Sometimes the number of leaves collected for leaf trait measurements is indicated here. * area: Mean leaf area in squared mm. Obtained from leaf scans. For a subset of plant individuals of each species (normally 8 individuals), we collected 3 leaves (in few cases only 1, 2, or 4 leaves) for leaf trait measurements. * area.sd: Standard deviation of leaf area in squared mm. Obtained from leaf scans analysed with script "leaf_area_sla-low.R". For a subset of plant individuals of each species (normally 8 individuals), we collected 3 leaves (in few cases only 1, 2, or 4 leaves) for leaf trait measurements. It is NA for plants from which we collected only one leaf. * drymass: Mean dry leaf mass in squared mg. For a subset of plant individuals of each species (normally 8 individuals), we collected 3 leaves (in few cases only 1, 2, or 4 leaves) for leaf trait measurements. * drymass.sd: Standard deviation dry leaf mass in squared mg. For a subset of plant individuals of each species (normally 8 individuals), we collected 3 leaves (in few cases only 1, 2, or 4 leaves) for leaf trait measurements. It is NA for plants from which we collected only one leaf. * sla: Mean specific leaf area (squared mm / mg) * sla.sd: Standard deviation of specific leaf area (squared mm / mg). It is NA for plants from which we collected only one leaf. * thick: Mean leaf (lamina) thickness in millimeters, measured with a digital caliper. We measured it avoiding middle rib nerves. * thick.sd: Standard deviation of leaf (lamina) thickness in millimeters. It is NA for plants from which we collected only one leaf. * year: Year of measurement * Lat_mean: Average of Lat_1 and Lat_2 * csi: Canopy shape index (Lat_mean / Height_v). It ranges from values close to 0 for erect plants to >> 1 for postrate plants. Missing values are NA | | Geolocation: | These data were measured in the field at two different elevations (1400 m and 2000 m) in the Calanda mountain in the eastern Swiss Alps, between coord | | Temporal coverage: | Data was measured during summer of 2018 and 2019. | | Taxonomic coverage: | Includes data for 41 species, 28 high-elevation species (2000 m) and 13 lowland species (1400 m). | | Field list: | ID, , Height_v, , Height_r, , Lat_1, , Lat_2, , Root_depth, , Root_lat, , Species, , Date, , Botanist, , Site, , Elevation, , Comment, , area, , area.sd, , drymass, , drymass.sd, , sla, , sla.sd, , thick, , thick.sd, , year, , Lat_mean, , csi |
| Title: | Data from: Assisted restoration interventions drive functional recovery of tropical wet forest tree | | TRY File Archive ID: | 94 | | Rights of use: | Public, | | Publication Date: | 2022-11-21 | | Version: | 7.0 | | Author: | Leland K Werden | | Contributors: | Sebastian Zarges, Karen D. Holl, Chad L. Oliver, Federico Oviedo-Brenes, Juan Abel Rosales, Rakan A. Zahawi | | Reference to publication: | Werden, L. K., Zarges, S., Holl, K. D., Oliver, C. L., Oviedo-Brenes, F., Rosales, J. A., & Zahawi, R. A. (2022). Assisted restoration interventions drive functional recovery of tropical wet forest tree communities. Frontiers in Forests and Global Change, 5, 935011. https://doi.org/10.3389/ffgc.2022.935011 | | Reference to data package: | | | DOI: | | | Format: | zipped xlsx | | File name: | 493_Werden et al. 2022 - FFGC - TRY submission.zip | | Description: | Tree stem and leaf trait data collected for "Assisted restoration interventions drive functional recovery of tropical wet forest tree communities" Werden, L. K., Zarges, S., Holl, K. D., Oliver, C. L., Oviedo-Brenes, F., Rosales, J. A., & Zahawi, R. A. Published in Frontiers in Forests and Global Change. Leaf trait data were collected from saplings from the understory of forests in the Las Cruces Biological Station, (8° 47’ 7’’ N, 82° 57’ 32’’ W) in Coto Brus County, Costa Rica. The forests in this region are at the boundary between Tropical Premontane Wet and Rain Forest zones with a mean annual rainfall of 3500-4000 mm, a dry season from December to March, and a mean annual temperature of ~ 21°C. We ensured that there was sufficient distance between sampled individuals of the same species (>30 m), to allow for intraspecific variation in trait characteristics due to differing abiotic conditions. We followed standard methods to measure leaf lamina area (leaf area; cm2), thickness (mm), toughness (g-force to punch), petiole length (mm); as well as fresh and oven dry weight (g; dried for ~72 hours at 60°C) on four leaves of three individuals per species. We measured leaf traits on fully expanded mature leaves with no damage. Specific leaf area (SLA; mm2 g-1) and leaf dry matter content (LDMC; mg g-1) were calculated from these measurements. Tree cores were collected on adult trees, as we were unable to destructively harvest sapling wood from the forest reserve, from at least three individuals (up to five) per species with a DBH of 10-30 cm to calculate stem specific gravity (wood density; g cm-3). We calculated wood density using the volume (measured with the water displacement method) and the oven dry weight (dried for ~72 hours at 100°C) obtained from each core. | | Geolocation: | These data were collected from understory of forests in the Las Cruces Biological Station, (8° 47’ 7’’ N, 82° 57’ 32’’ W) in Coto Brus County, Costa Rica | | Temporal coverage: | Data were collected in 2014, 2019, and 2020 | | Taxonomic coverage: | Includes data for 55 tree species | | Field list: | Family, Genus, Specific Epithet, Authority, latitude, longitude, altitude, sampling date, Exposition, plant maturity, canopy position. health status, leaf age, plant growth form, Leaf thickness, Leaf toughness. Leaf area per leaf dry mass (specific leaf area, SLA or 1/LMA): petiole included, Leaf dry mass per leaf fresh mass (leaf dry matter content, LDMC), Leaf petiole length, Leaf area (in case of compound leaves: leaf, petiole included), Stem specific density (SSD) or wood density (stem dry mass per stem fresh volume) |
| Title: | Plant_traits_LTER_Matsch_Mazia | | TRY File Archive ID: | 95 | | Rights of use: | Public, | | Publication Date: | 2023-01-03 | | Version: | | | Author: | Veronika Fontana, PhD, Eurac Research, Institute for Alpine Environment, Drususallee/Viale Druso 1,I-39100, Bozen/Bolzano, www.eurac.edu | | Contributors: | | | Reference to publication: | Fontana, V., Kohler, M., Niedrist, G., Bahn, M., Tappeiner, U., & Frenck, G. (2017). Decomposing the land-use specific response of plant functional traits along environmental gradients. Science of the Total Environment, 599, 750-759. | | Reference to data package: | | | DOI: | 10.17871/TRY.95 | | Format: | xlsx | | File name: | 508_Plant_Traits_Matsch_TRY_Contribution.xlsx | | Description: | The traits VegHt [cm], RepHt [cm], Dry weight 1 leaf [mg], Fresh weight 1 leaf [g], Leaf area [cm2] 1 leaf, LDMC [mg g-1], SLA [mm2 mg-1], Nitrogen [%] Carbon [%], LNC [mg g-1], LCC [mg g-1], Aboveground biomass [g] total were collected for the species Arrhenatherum elatius, Trisetum flavescens, Dactylis glomerata, Anthoxantum odoratum, Phleum pratense, Rumex acetosa, Taraxacum officinale agg., Achillea millefolium, Anthriscus sylvestris, Pimpinella major, Koeleria macrantha, Festuca vallesiaca agg at meadows (M) and pastures (P) on south east to south west exposed slopes. | | Geolocation: | Matsch/Mazia Valley, South Tyrol, Italy | | Temporal coverage: | 2015 | | Taxonomic coverage: | Arrhenatherum elatius, Trisetum flavescens, Dactylis glomerata, Anthoxantum odoratum, Phleum pratense, Rumex acetosa, Taraxacum officinale agg., Achillea millefolium, Anthriscus sylvestris, Pimpinella major, Koeleria macrantha, Festuca vallesiaca agg | | Field list: | USE, elevation, X, Y, Species, Rep-ID, VegHt [cm], RepHt [cm], Dry weight, 1 leaf [mg], Fresh weight, 1 leaf [g], Leaf area [cm2], 1 leaf, LDMC [mg g-1], SLA [mm2 mg-1], Nitrogen [%], Carbon [%], LNC [mg g-1], LCC [mg g-1], Aboveground biomass [g] total |
| Title: | Imputing missing data in plant traits: a guide to improve gap-filling (data). | | TRY File Archive ID: | 96 | | Rights of use: | Public, | | Publication Date: | 2023-03-15 | | Version: | 1 | | Author: | Julia Joswig, Spatial Genetics, Remote-Sensing Laboratories, Department of Geography, Winterthurerstr. 190, CH- Zürich. E-Mail: juliajoswigjj@gmail.com | | Contributors: | Data PIs of the TRY data base | | Reference to publication: | Julia S. Joswig, Jens Kattge, Guido Kraemer, Miguel D. Mahecha, Nadja Rüger, Michael E. Schaepman,
Franziska Schrodt, Meredith C. Schuman (accepted): Imputing missing data in plant traits: a guide to improve gap-filling. GEB. | | Reference to data package: | Julia S. Joswig, Jens Kattge, Guido Kraemer, Miguel D. Mahecha, Nadja Rüger, Michael E. Schaepman,
Franziska Schrodt, Meredith C. Schuman (accepted): Imputing missing data in plant traits: a guide to improve gap-filling - Dataset https://www.try-db.org/TryWeb/Data.php#XXX | | DOI: | 10.17871/TRY.96 | | Format: | Zipped archive: data files in folders, csv and RData formats, documentation included (readme.txt) | | File name: | Repo_data.zip | | Description: | BHPMF imputation runs of two different, completely observed trait data sets with different gap-size, 3 replications each. Also included are analysis products, required for of these study and created as described in the GitHub repository (https://github.com/juliajoswig/Repo_BHPMF_bias). | | Geolocation: | global | | Temporal coverage: | single sampling per individual | | Taxonomic coverage: | vascular plants | | Field list: | |
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