A Factorial-Clustered Copula Covariate Analysis for Interaction Effects of Multiple Climate Factors on Vegetation Cover in China

Atmosphere, Journal Year: 2025, Volume and Issue: 16(2), P. 185 - 185

Published: Feb. 6, 2025

Vegetation is a vital component of ecosystems and an indicator global environmental change. It significantly influenced by climate factors. Previous studies have often overlooked the nonlinear relationships, spatiotemporal variability, interaction effects factors on vegetation, focusing instead simplistic trends or regional classifications based vegetation type, zone, ecosystem. In this study, factorial-clustered copula covariate analysis model was developed to investigate cover (NDVI) in China from 2000 2023. The results showed that temperature had strongest correlation with NDVI (0.66), followed precipitation solar radiation (both 0.46), soil moisture (0.14). exhibited significant spatial low values (<0.1) 17.6% high (>0.8) 12.7% areas. Regional variations were observed: precipitation-dominated changes arid regions (Cluster 1, 43%), tropical areas (Clusters 4 5, >79%), humid zones 2, 29%). Interaction effects, such as Pre:Temp Pre:Temp:SM, further dynamics. Joint probability revealed diverse dependency patterns across clusters, highlighting complex interplay between climatic non-climatic These findings emphasize need for tailored management strategies address region-specific dynamics under changing conditions.

Language: Английский

Simulating wind prevention and sand fixation service flow in arid Inland River basins: Insights from the Tarim River basin, China

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 959, P. 178241 - 178241

Published: Dec. 27, 2024

Language: Английский