Spatial heterogeneity of the relationship between vegetation dynamics and climate change and their driving forces at multiple time scales in Southwest China

摘要: Abstract Under global climate change, relationship between vegetation dynamics and change is vital for conservation restoration in fragile ecological system. However, the relationships at multiple time scales are unclear. Based on Ensemble empirical mode decomposition method (EEMD), we revealed spatial heterogeneity of its with Southwest China during 1982–2015. Vegetation can be divided into 3-, 6-, 14-, 32-year scale oscillations an increasing trend. Hereinto, 3-year trend dominant. In Guangxi north Guizhou provinces, was dominated by long-term trend, whereas other areas it scale. With scale, impact became more pronounced. The temperature growing season determined elevation type 3- 6-year scales, but only over precipitation driven karst landform amount multivariate regression analysis analysis, had a good significant interpretation 54.1% study area. Specifically, greater than that human activities. Our findings showed might facilitate better understanding mechanisms dynamics, provide scientific knowledge ecosystems.