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P.M. van Bodegom

Researcher at Leiden University

Publications -  69
Citations -  6045

P.M. van Bodegom is an academic researcher from Leiden University. The author has contributed to research in topics: Trait & Soil organic matter. The author has an hindex of 32, co-authored 69 publications receiving 5256 citations. Previous affiliations of P.M. van Bodegom include University of Amsterdam & VU University Amsterdam.

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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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Nutrient limitation reduces land carbon uptake in simulations with a model of combined carbon, nitrogen and phosphorus cycling

TL;DR: In this article, a P cycle was incorporated into the land surface model JSBACH (Jena Scheme for Biosphere-Atmosphere Coupling in Hamburg) to investigate how the projected carbon sequestration is altered when stoichiometric constraints on C cycling are considered, and the results indicated that global land carbon uptake in the 21st century is likely over- estimated in models that neglect P and N limitations.
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A quantitative framework for assessing spatial flows of ecosystem services

TL;DR: In this paper, the authors present a generic framework to analyze the spatial connections between the ecosystem service provisioning and benefiting areas, and introduce an indicator that shows the proportion of ben- efiting areas supported by spatial ecosystem service flows from provisioning areas.
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A fully traits-based approach to modeling global vegetation distribution

TL;DR: This study provides a proof of concept for the link between plant traits and vegetation types, stimulating enhanced application of trait-based approaches in vegetation modeling and envision that the approach, observation-driven trait maps, and vegetation maps may inspire a new generation of powerful traits-based vegetation models.