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International Summer School on Plant Traits in Porquerolles (France), 19-24 May 2019
|__||Between 19 - 24 May 2019 CNRS/CEFE (Montpellier) offers a Summer School on Functional Traits on the island of Porquerolles, France. The course includes lectures from international speakers (e.g. Eric Garnier, Bill Shipley, Monique Weemstra et al.) on various trait-related topics, and field work exercises on trait measurements with a focus on plant traits. The course is open to PhD students, postdocs and permanent staff. The registration costs (see link) include meals and accommodation. Application is open at: https://framaforms.org/application-to-the-international-trait-school-porquerolles-france-19-24-may-2019-1548263189. The deadline of application is 28 March 2019.
Plant Traits at the European Geosciences Union (EGU) General Assembly 2019
|__||For the upcoming General Assembly of the European Geosciences Union (EGU), 7-12 April 2019 in Vienna, we have organized a session on "Plant traits, adaptation and biogeochemical cycles – from measurements to models" (Conveners: Jens Kattge, Han Wang, Michael Bahn, Oskar Franklin). The session will be on Thursday 11 April, with poster presentations in the morning and oral presentations in the afternoon.
Global trait–environment relationships of plant communities
|__||Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, the authors perform a global, plot-level analysis of trait–environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although the authors find a strong filtering of 17 functional traits, similar climate conditions support communities differing greatly in mean trait values. The results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses of large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, soil conditions, niche partitioning and biotic interactions. (Bruelheide et al. 2018 Nature Ecology and Evolution)|
A methodology to derive global maps of leaf traits using remote sensing and climate data
|__||This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. The paper presents global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits. (Moreno-Martinez et al. 2018 Remote Sensing of Environment)|
Plant functional trait change across a warming tundra biome
|__||Until now, the Arctic tundra has been the domain of low-growing grasses and dwarf shrubs. Defying the harsh conditions, these plants huddle close to the ground and often grow only a few centimeters high. But new, taller plant species have been slowly taking over this chilly neighborhood, report an international group of nearly 130 biologists led by scientists from the German Senckenberg Biodiversity and Climate Research Centre and the German Centre for Integrative Biodiversity Research (iDiv) today in Nature. This has led to an overall increase in the height of tundra plant communities over the past three decades. (Bjorkman et al. 2018 Nature)|
Late Quaternary climate legacies in contemporary plant functional composition
|__||Climate may determine functional composition if there is variation in the rates of immigration and exclusion linked to functional traits. The authors show strong Pleistocene legacies on the contemporary functional composition in the New World plant assemblages consistent with slow community assembly processes. (Blonder et al. 2018 Global Change Biology)|
AGU 2018 Session: Plant Traits, Biogeochemical Cycles and Optimality Driven Model Development (B11E posters, B13D oral)
|__||A session on plant traits at the Fall Meeting of the American Geophysical Union (AGU) 10-14 Dec 2018 in Washington, D.C., titled: "Plant Traits, Biogeochemical Cycles and Optimality Driven Model Development".
Plant traits extend the range of earth observations to the level of individual organisms, providing a link to ecosystem function and modeling in the context of rapid global changes. However, overcoming the differences in temporal and spatial scales between plant trait data and biogeochemical cycles remains a challenge.
This session will address the role of plant species, biodiversity, acclimation and adaptation in the biogeochemical cycles of water, carbon, nitrogen and phosphorus. Conceptual, observational, experimental and modeling approaches, and studies from the local to the global scale, including e.g. remote sensing observations are welcome.|
Symbiont switching and alternative resource acquisition strategies drive mutualism breakdown
|__||Cooperative interactions among species—mutualisms—are major sources of evolutionary innovation. However, despite their importance, two species that formerly cooperated sometimes cease their partnership. Why do mutualisms break down? We asked this question in the partnership between arbuscular mycorrhizal (AM) fungi and their plant hosts, one of the most ancient mutualisms. We analyze two potential trajectories toward evolutionary breakdown of their cooperation, symbiont switching and mutualism abandonment. We find evidence that plants stop interacting with AM fungi when they switch to other microbial mutualists or when they evolve alternative strategies to extract nutrients from the environment. Our results show vital cooperative interactions can be lost, but only if successful alternatives evolve. (Werner et al. 2018 PNAS)|
TRY 4.0 - the new release of the TRY database
|__||The new release of the TRY Database (TRY version 4.0) has been published in July 2017. It is based on 329 contributed datasets and provides 6.9 million trait records for 148,333 plant taxa (mostly species) and 1832 traits. In addition TRY version 4 is based on an improved data curation: Taxon names are consolidated against The Plant List using the Taxon Name Resolution Service. Traits are defined according to the Thesaurus Of Plant Characteristics.|
|Disclaimer||Page calls: 319263||Gerhard Boenisch, Jens Kattge, created 2012-01-11, modified 2018-02-09|