中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fuzzy Logic Modeling of Land Degradation in a Loess Plateau Watershed, China

文献类型:期刊论文

作者Lu, Ang1,2; Tian, Peng2; Mu, Xingmin1,3; Zhao, Guangju1,3; Feng, Qingyu4; Guo, Jianying5; Xu, Wenlong3
刊名REMOTE SENSING
出版日期2022-10-01
卷号14期号:19页码:19
关键词land degradation index fuzzy logic modeling spatial and temporal distribution Huangfuchuan watershed Loess Plateau
DOI10.3390/rs14194779
通讯作者Tian, Peng(pengtian@nwafu.edu.cn)
英文摘要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.
WOS关键词SOIL-EROSION ; RIVER-BASIN ; SUITABILITY ; IMPACTS ; REVEGETATION ; AGRICULTURE ; RESTORATION ; SWITCHGRASS ; CARBON ; DAMS
资助项目National Natural Science Foundation of China[U2243211] ; National Natural Science Foundation of China[42077076] ; National Natural Science Foundation of China[42077075]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000867067500001
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/185737]  
专题中国科学院地理科学与资源研究所
通讯作者Tian, Peng
作者单位1.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China
2.Northwest A&F Univ, Coll Nat Resources & Environm, 3 Taicheng Rd, Yangling 712100, Shaanxi, Peoples R China
3.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China
4.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
5.Minist Water Resources China, Inst Water Resources Pastoral Area, 128 Daxue East St, Hohhot 010020, Peoples R China
推荐引用方式
GB/T 7714
Lu, Ang,Tian, Peng,Mu, Xingmin,et al. Fuzzy Logic Modeling of Land Degradation in a Loess Plateau Watershed, China[J]. REMOTE SENSING,2022,14(19):19.
APA Lu, Ang.,Tian, Peng.,Mu, Xingmin.,Zhao, Guangju.,Feng, Qingyu.,...&Xu, Wenlong.(2022).Fuzzy Logic Modeling of Land Degradation in a Loess Plateau Watershed, China.REMOTE SENSING,14(19),19.
MLA Lu, Ang,et al."Fuzzy Logic Modeling of Land Degradation in a Loess Plateau Watershed, China".REMOTE SENSING 14.19(2022):19.

入库方式: OAI收割

来源:地理科学与资源研究所

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