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Jeannine Cavender-Bares

Researcher at University of Minnesota

Publications -  230
Citations -  27421

Jeannine Cavender-Bares is an academic researcher from University of Minnesota. The author has contributed to research in topics: Biodiversity & Species richness. The author has an hindex of 61, co-authored 215 publications receiving 22015 citations. Previous affiliations of Jeannine Cavender-Bares include Harvard University & Smithsonian Institution.

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The worldwide leaf economics spectrum

TL;DR: Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.
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TRY - a global database of plant traits

Jens Kattge, +136 more
TL;DR: TRY as discussed by the authors is a global database of plant traits, including morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs, which can be used for a wide range of research from evolutionary biology, community and functional ecology to biogeography.
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The merging of community ecology and phylogenetic biology

TL;DR: Several key areas are reviewed in which phylogenetic information helps to resolve long-standing controversies in community ecology, challenges previous assumptions, and opens new areas of investigation.
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The evolution of plant functional variation: traits, spectra, and strategies

TL;DR: Patterns of functional trait variation and trait correlations within and among habitats in relation to several environmental and trade‐off axes are described and whether such patterns reflect natural selection and can be considered plant strategies are asked.
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TRY plant trait database : Enhanced coverage and open access

Jens Kattge, +754 more
TL;DR: The extent of the trait data compiled in TRY is evaluated and emerging patterns of data coverage and representativeness are analyzed to conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements.