Applying Geodetector to disentangle the contributions of natural and anthropogenic factors to NDVI variations in the middle reaches of the Heihe River Basin

被引:277
作者
Zhu, Lijun [1 ]
Meng, Jijun [1 ]
Zhu, Likai [2 ]
机构
[1] Peking Univ, Coll Urban & Environm Sci, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China
[2] Linyi Univ, Coll Resources & Environm, Shandong Prov Key Lab Water & Soil Conservat & En, Linyi 276000, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
NDVI variations; Natural factors; Anthropogenic factors; Geodetector; The middle reaches of the Heihe River Basin; GEOGRAPHICAL DETECTOR; VEGETATION ACTIVITY; DRIVING MECHANISMS; LAND DEGRADATION; CHINA; CLIMATE; CARBON; TREND; DESERTIFICATION; PRECIPITATION;
D O I
10.1016/j.ecolind.2020.106545
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
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 nonlinear 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.
引用
收藏
页数:12
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