Impact of trait variability in process-based models on net primary production

Researchers

Britta Tietjenin cooperation with M. Perring, UWA

Abstract

We investigate how trait variability in the response of photosynthesis to temperature impacts net primary production in a Tasmanian grassland. For this, we manipulate grass species in two models (LPJmL and EcoMod) in terms of their temperature response. One aim is to find out whether the current representation of grass species in models is sufficient to estimate the response of grasslands to climate change or whether the representation of more trait variability and thus biodiversity is required.

DCPS