Dryland sensitivity to climate change and variability using nonlinear dynamics.

ABSTRACT: Primary productivity response to climatic drivers varies temporally, indicating state-dependent interactions between climate and productivity. Previous studies primarily employed equation-based approaches to clarify this relationship, ignoring the state-dependent nature of ecological dynamics. Here, using 40 y of climate and productivity data from 48 grassland sites across Mongolia, we applied an equation-free, nonlinear time-series analysis to reveal sensitivity patterns of productivity to climate change and variability and clarify underlying mechanisms. We showed that productivity responded positively to annual precipitation in mesic regions but negatively in arid regions, with the opposite pattern observed for annual mean temperature. Furthermore, productivity responded negatively to de

SUBMITTER: Sasaki T 

PROVIDER: S-EPMC10587894 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature