Spatial pattern and temporal trend of land degradation in the Heihe River Basin of China using local net primary production scaling
文献类型:期刊论文
作者 | Li, Feng2; Meng, Jijun2; Zhu, Likai1; You, Nanshan3 |
刊名 | LAND DEGRADATION & DEVELOPMENT
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出版日期 | 2019-12-17 |
页码 | 13 |
关键词 | drylands land capability classes land degradation local net primary production scaling NPP the Heihe River Basin |
ISSN号 | 1085-3278 |
DOI | 10.1002/ldr.3468 |
通讯作者 | Meng, Jijun(jijunm@pku.edu.cn) ; Zhu, Likai(lzhu68@163.com) |
英文摘要 | Biophysical processes and people's livelihoods largely depend on ecosystem productivity; thus, land degradation is harmful for local sustainable development. Most previous assessments of land degradation used a comprehensive index system or trend analysis without localized benchmarks; thus, they were not fully objective. Here, we assessed the land degradation in the Heihe River Basin (HRB), China using the local net primary production (NPP) scaling (LNS) method. We improved the method by dividing land capability classes (LCC) using remote sensing data, and determining the reference NPP for each LCC to represent the productivity under optimal environmental conditions. To assess the extent, severity and trend of land degradation, we obtained LNS percent values which was defined as the ratio of present NPP to reference NPP. We categorized our identified land degradation hotspots, determined their causes and proposed potential strategies for land conservation. Our results showed that nearly one quarter of the area was degraded land, mainly located in the upper stream. The average NPP was 35.75% lower than the reference NPP, with a reduction amount of 0.82 GgC yr(-1). Only the lower stream showed a significant decreasing trend in LNS percent values. The areas with a positive trend in LNS percent values were primarily observed in the middle stream croplands. We found the degradation condition deteriorated first and recovered later in the HRB. Land use change contributed more than climate change to the local NPP of the degraded areas. Our research provides a more general framework for assessing land productivity reduction induced by anthropogenic and natural processes in the drylands. |
WOS关键词 | MONITORING RANGELAND DEGRADATION ; VEGETATION COVER ; HUMAN APPROPRIATION ; HEADWATERS REGION ; NORTHERN CHINA ; LOWER REACHES ; DATA SETS ; DESERTIFICATION ; VARIABILITY ; PROJECT |
资助项目 | National Natural Science Foundation of China[41871074] ; Shandong Provincial Natural Science Foundation, China[ZR2019BD040] ; Ministry of Education Laboratory for Earth Surface Processes, Peking University |
WOS研究方向 | Environmental Sciences & Ecology ; Agriculture |
语种 | 英语 |
WOS记录号 | WOS:000502989400001 |
出版者 | WILEY |
资助机构 | National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation, China ; Ministry of Education Laboratory for Earth Surface Processes, Peking University |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/131130] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Meng, Jijun; Zhu, Likai |
作者单位 | 1.Linyi Univ, Coll Resources & Environm, Shandong Prov Key Lab Water & Soil Conservat & En, Linyi 276000, Shandong, Peoples R China 2.Peking Univ, Coll Urban & Environm Sci, Minist Educ, Key Lab Earth Surface Proc, Beijing 100871, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Feng,Meng, Jijun,Zhu, Likai,et al. Spatial pattern and temporal trend of land degradation in the Heihe River Basin of China using local net primary production scaling[J]. LAND DEGRADATION & DEVELOPMENT,2019:13. |
APA | Li, Feng,Meng, Jijun,Zhu, Likai,&You, Nanshan.(2019).Spatial pattern and temporal trend of land degradation in the Heihe River Basin of China using local net primary production scaling.LAND DEGRADATION & DEVELOPMENT,13. |
MLA | Li, Feng,et al."Spatial pattern and temporal trend of land degradation in the Heihe River Basin of China using local net primary production scaling".LAND DEGRADATION & DEVELOPMENT (2019):13. |
入库方式: OAI收割
来源:地理科学与资源研究所
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