4.7 Article

Fuzzy Logic Modeling of Land Degradation in a Loess Plateau Watershed, China

期刊

REMOTE SENSING
卷 14, 期 19, 页码 -

出版社

MDPI
DOI: 10.3390/rs14194779

关键词

land degradation index; fuzzy logic modeling; spatial and temporal distribution; Huangfuchuan watershed; Loess Plateau

资金

  1. National Natural Science Foundation of China [U2243211, 42077076, 42077075]

向作者/读者索取更多资源

This study assessed land degradation changes in the Huangfuchuan watershed of the Loess Plateau by considering different types of land degradation. The results showed an increase in vegetation cover and a decrease in soil erosion rate, indicating significant success in land degradation prevention in the region.
Various land degradation processes have led to land productivity reduction, food insecurity and ecosystem destruction. The Loess Plateau (LP) suffered from severe land degradation, such as vegetation degradation, soil erosion and desertification. This study assessed land degradation changes by considering different land degradation types including vegetation degradation, soil erosion, aridity, loss of soil organic carbon and desertification in the Huangfuchuan watershed of the northern LP. A comprehensive land degradation index (LDI) was developed by combining different degradation processes using the fuzzy logic modeling method. Our results showed significant land use transitions from bare land and sandy area to grass land and forest land from 1990 to 2018, which were consistent with an obvious increase in vegetation cover from 31.24% to 40.72%. The soil erosion rate predicted by the RUSLE model decreased by 51.95% during 1990-2018. The basin-average LDI decreased from 0.68 in 1990 to 0.51 in 2018, suggesting the great success of land degradation prevention in a fragile ecological environment region on the LP during the past decades. This study proposed an integrated framework for land degradation assessment in the high erodible area. The results can provide good references for the improvement of ecological environment in the future.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据