Arid
DOI10.1016/j.jag.2016.09.013
Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the karst regions of Southwest China
Tong, Xiaowei1,2,3,4; Wang, Kelin1,2,3; Yue, Yuemin1,2,3; Brandt, Martin5; Liu, Bo6; Zhang, Chunhua7; Liao, Chujie1,2,3,4; Fensholt, Rasmus5
通讯作者Wang, Kelin
来源期刊INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN0303-2434
出版年2017
卷号54页码:105-113
英文摘要

To alleviate the severe rocky desertification and improve the ecological degradation conditions in Southwest China, the national and local Chinese governments have implemented a series of Ecological Restoration Projects (ERPs) since the late 1990s. This study proposed a remote sensing based approach to evaluate the long-term efforts of the ERPs started in 2000. The method applies a time-series trend analysis of satellite based vegetation data corrected for climatic influences to reveal human induced vegetation changes. The improved residual method is combined with statistics on the invested project funds to derive an index, Project Effectiveness Index (PEI), measuring the project effectiveness at county scale. High effectiveness is detected in the Guangxi Province, moderate effectiveness in the Guizhou Province, and low and no effectiveness in the Yunnan Province. Successful implementations are closely related to the combined influences from climatic conditions and human management. The landforms of Peak Forest Plain and Peak Cluster Depression regions in the Guangxi Province are characterized by temperate climate with sufficient rainfall generally leading to a high effectiveness. For the karst regions of the Yunnan and Guizhou Provinces with rough terrain and lower rainfall combined with poor management practices (unsuitable species selection, low compensation rate for peasants), only low or even no effect of project implementations can be observed. However, the effectiveness distribution is not homogeneous and counties with high project effectiveness in spite of complex natural conditions were identified, while counties with negative vegetation trends despite relatively favorable conditions and high investments were also distinguished. The proposed framework is expected to be of high relevance in general monitoring of the successfulness of ecological conservation projects in relation to invested funds. (C) 2016 Published by Elsevier B.V.


英文关键词Restrend Ecological restoration projects Rocky desertification Growing season NDVI
类型Article
语种英语
国家Peoples R China ; Denmark ; Canada
收录类别SCI-E ; SSCI
WOS记录号WOS:000388776100010
WOS关键词SAND SOURCE REGION ; ROCKY DESERTIFICATION ; INNER-MONGOLIA ; PROGRAM ; CLIMATE ; TRENDS ; LAND ; NDVI ; ENVIRONMENT ; IMPACTS
WOS类目Remote Sensing
WOS研究方向Remote Sensing
来源机构南京信息工程大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/199689
作者单位1.Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Hunan, Peoples R China;
2.Chinese Acad Sci, Huanjiang Observ, Huanjiang 547100, Peoples R China;
3.Chinese Acad Sci, Res Stn Karst Ecosyst, Huanjiang 547100, Peoples R China;
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
5.Univ Copenhagen, Dept Geosci & Nat Resource Management, DK-1350 Copenhagen, Denmark;
6.Nanjing Univ Informat Sci & Technol, Sch Geog & Remote Sensing, Nanjing 210044, Jiangsu, Peoples R China;
7.Algoma Univ, Dept Geog & Geol, Marie, ON P6A2G4, Canada
推荐引用方式
GB/T 7714
Tong, Xiaowei,Wang, Kelin,Yue, Yuemin,et al. Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the karst regions of Southwest China[J]. 南京信息工程大学,2017,54:105-113.
APA Tong, Xiaowei.,Wang, Kelin.,Yue, Yuemin.,Brandt, Martin.,Liu, Bo.,...&Fensholt, Rasmus.(2017).Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the karst regions of Southwest China.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,54,105-113.
MLA Tong, Xiaowei,et al."Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the karst regions of Southwest China".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 54(2017):105-113.
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