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 |
DOI | 10.3390/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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