fully traits-based approach to modeling global vegetation distribution

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 111; no. 38; pp. 13733 - 13738
• Main Authors: van Bodegom, Peter M., Douma, Jacob C., Verheijen, Lieneke M.
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 23.09.2014; National Acad Sciences
• Subjects: acclimation; Adaptation, Physiological; amazonian forest; Biological Sciences; classification; Climate change; Climate models; co2; Dry forests; earth system model; economics spectrum; Ecosystem models; Environmental impact; functional traits; Global climate models; Models, Biological; photosynthesis; Plant Physiological Phenomena; plant traits; Plants; prediction; Quantitative Trait, Heritable; Vegetation; Vegetation mapping; Vegetation structure; vegetation types; trait-environment relationships; functional variation; vegetation attributes; global vegetation map; probabilistic model

Dynamic Global Vegetation Models (DGVMs) are indispensable for our understanding of climate change impacts. The application of traits in DGVMs is increasingly refined. However, a comprehensive analysis of the direct impacts of trait variation on global vegetation distribution does not yet exist. Her...