Characterizing multiscale effects of climatic factors on the temporal variation of vegetation in different climatic regions of China

Vegetation dynamics are sensitive to climatic warming and affected by individual or combined factors at different temporal scales with intensities. Previous studies have unraveled the relationships between vegetation factors; however, it is unclear whether effects of single on dominant for scales, types, regions. The objective this study was explore scale-specific univariate multivariate controls over period 1982–2015 using bivariate wavelet coherence (BWC), (MWC), multidimensional empirical mode decomposition (MEMD). results indicated that significant were located mainly 1, 0.5, 0.3 years. variations divided into seasonal (≤ 1 year), short-term (1–4 years), medium-term (4–8 long-term (> 8 years) scales. explanatory powers seven greater whereas factors, such as precipitation temperature, might affect in some regions effect grassland Tibetan Plateau (TP) temperate Inner Mongolia (TGIM) greatest, which 65.06% 59.53%, respectively. climate crop both humid subhumid Northeast China TP around 47%, crops TGIM warm-temperate desert Northwest 39%. Cropland farming practices could alleviate spatial variation while enhancing difference their relationships. Additionally, influencing factor among varied greatly scale. Collectively, provide an alternative perspective understanding evolution response changes China.