归一化差异植被指数
干旱
环境科学
降水
自然地理学
驱动因素
自然(考古学)
土地退化
构造盆地
土地利用
植被类型
地理
植被(病理学)
水文学(农业)
气候变化
草原
生态学
地质学
中国
气象学
生物
病理
古生物学
考古
岩土工程
医学
作者
Lijun Zhu,J. Meng,Likai Zhu
标识
DOI:10.1016/j.ecolind.2020.106545
摘要
The detection and attribution of vegetation changes is a prerequisite for vegetation restoration and management. In arid and semi-arid areas, natural and anthropogenic factors interact to influence vegetation change, making it challenging to disentangle the contributions of driving forces. Here we used NDVI as an indicator of vegetation condition and analyzed its spatial and temporal changes in the middle reaches of the Heihe River Basin from 2000 to 2015. Then we applied the Geodetector method, a robust spatial statistics approach, to quantify the effects of natural and anthropogenic factors on NDVI changes. NDVI across the study area showed a significant increasing trend from 2000 to 2015. Both natural and anthropogenic factors were identified as significant driving forces of NDVI change, and the factors, land use conversion type, mean annual precipitation and soil type, caused the greatest influence. The explanatory power of a single factor was often enhanced when it interacted with other factors. We also found that influencing factors often correlated with NDVI changes in a non-linear way. Our research highlights that the Geodetector method is an effective way to disentangle the complicated driving factors of vegetation change, and our results is useful for projecting vegetation change under future environmental change and taking measures to prevent and mitigate land degradation in drylands.
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