归一化差异植被指数
蒸散量
干旱
生长季节
植被(病理学)
环境科学
干旱指数
降水
自然地理学
干燥
气候学
增强植被指数
大气科学
气候变化
地理
生态学
生物
植被指数
地质学
气象学
病理
免疫学
医学
作者
Xiaoyan Zhang,Baoqing Zhang
标识
DOI:10.1016/j.jhydrol.2019.04.084
摘要
Knowledge of vegetative responses to drought across hydroclimatic zones is crucial for understanding ecohydrologic cycles. Based on monthly self-calibrated Palmer drought severity index (PDSI), standardized precipitation evapotranspiration index (SPEI) at different time scales (1–48 month scales), and normalized difference vegetation index (NDVI), this study examined the relationship between natural vegetation dynamics and drought in the growing season during 1982–2012 at 293 sites over China. Pearson correlations between NDVI and drought indices (PDSI and SPEI) were employed to quantify the association between vegetation and drought. The results show that the Pearson correlations between PDSI and NDVI in growing season (CNP) ranged from −0.47 to 0.84, and the maximum correlation between SPEI and NDVI in growing season (MaxSPEI) ranged from −0.31 to 0.86, within which the negative correlations were mainly observed in the areas dominated by forest in south China. Moreover, the CNP was highly and nonlinearly related to the aridity index (∅) (MaxSPEI showed a similar trend). The relationship between CNP and ∅ indicated that, water stress was not the limiting factor for natural vegetation in humid regions (∅<0.98) even during droughts; the drought vulnerability of natural vegetation increased with increasing ∅ up to a point (∅=4.68) and then decreased with increasing ∅ when ∅>4.68; in extreme arid regions, the natural vegetation exhibited less sensitivity to drought. These tendencies could be seen worldwide. The varied physiological properties of plants and the response of photosynthesis to energy processes probably explain some discernible variation.
科研通智能强力驱动
Strongly Powered by AbleSci AI