“How soil drives and is driven by the biodiversity of tropical mountain forests – Insights from the HUMBOLDT dynamic vegetation model”
Dr. Mateus Dantas de Paula (Senckenberg Biodiversity and Climate Research Centre and Helmholz Center for Environmental Research)
The success of plant communities and their selected traits in surviving changing environmental conditions has been long considered one of the main drivers of biodiversity. Understanding which environmental factors are the most relevant in structuring plant communities is crucial for predicting anthropogenic impacts to biodiversity. Dynamic vegetation models are useful for tackling this question, since they are able to glimpse the interaction of many important processes, such as nutrient limitation.
Here I present a dynamic vegetation model (HUMBOLDT-LSMbio), based on a well established global model (LPJ-GUESS), which includes dynamic organic matter processes of the carbon, nitrogen and phosphorus cycles and high functional diversity by including trait data and relationships from the leaf and wood economics spectrum. I evaluate the performance of HUMBOLDT-LSMbio using trait, forest structure dynamics and soil organic matter observations from a altitudinal gradient in a long-term measured tropical mountain forest gradient in Southern Ecuador (1,000, 2,000 and 3,000 meters a.s.l. sites). By evaluating the results from HUMBOLDT LSMbio I aim to understand how soil organic matter dynamics and changing plant traits interact giving rise to the observed plant community composition, as well as soil organic matter fluxes and structure.
Wann: Mittwoch, 03.06.2020 um 12:15 Uhr
Wo: Findet in digitaler Form statt!
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