Temporal and Spatial Dynamics of Rodent Species Habitats in the Ordos Desert Steppe, China.

ABSTRACT: Climate change is driving the restructuring of global biological communities. As a species sensitive to climate change, studying the response of small rodents to climate change is helpful to indirectly understand the changes in ecology and biodiversity in a certain region. Here, we use the MaxEnt (maximum entropy) model to predict the distribution patterns, main influencing factors, and range changes of various small rodents in the Ordos desert steppe in China under different climate change scenarios in the future (2050s: average for 2041-2060). The results show that when the parameters are FC = LQHPT, and RM = 4, the MaxEnt model is optimal and AUC = 0.833. We found that NDVI (normalized difference vegetation index), Bio 12 (annual precipitation), and TOC (total organic carbon) are import

SUBMITTER: Hua R 

PROVIDER: S-EPMC11899341 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature