Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs8050357 |
Assessing Future Vegetation Trends and Restoration Prospects in the Karst Regions of Southwest China | |
Tong, Xiaowei1,2,3; Wang, Kelin1,2; Brandt, Martin4; Yue, Yuemin1,2; Liao, Chujie1,2,3; Fensholt, Rasmus4 | |
通讯作者 | Wang, Kelin |
来源期刊 | REMOTE SENSING
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ISSN | 2072-4292 |
出版年 | 2016 |
卷号 | 8期号:5 |
英文摘要 | To alleviate the severe rocky desertification and improve the ecological conditions in Southwest China, the national and local Chinese governments have implemented a series of Ecological Restoration Projects since the late 1990s. In this context, remote sensing can be a valuable tool for conservation management by monitoring vegetation dynamics, projecting the persistence of vegetation trends and identifying areas of interest for upcoming restoration measures. In this study, we use MODIS satellite time series (2001-2013) and the Hurst exponent to classify the study area (Guizhou and Guangxi Provinces) according to the persistence of future vegetation trends (positive, anti-persistent positive, negative, anti-persistent negative, stable or uncertain). The persistence of trends is interrelated with terrain conditions (elevation and slope angle) and results in an index providing information on the restoration prospects and associated uncertainty of different terrain classes found in the study area. The results show that 69% of the observed trends are persistent beyond 2013, with 57% being stable, 10% positive, 5% anti-persistent positive, 3% negative, 1% anti-persistent negative and 24% uncertain. Most negative development is found in areas of high anthropogenic influence (low elevation and slope), as compared to areas of rough terrain. We further show that the uncertainty increases with the elevation and slope angle, and areas characterized by both high elevation and slope angle need special attention to prevent degradation. Whereas areas with a low elevation and slope angle appear to be less susceptible and relevant for restoration efforts (also having a high uncertainty), we identify large areas of medium elevation and slope where positive future trends are likely to happen if adequate measures are utilized. The proposed framework of this analysis has been proven to work well for assessing restoration prospects in the study area, and due to the generic design, the method is expected to be applicable for other areas of complex landscapes in the world to explore future trends of vegetation. |
英文关键词 | growing season NDVI (GSN) persistent trends future vegetation trends Hurst exponent terrain niche index (TNI) |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; Denmark |
收录类别 | SCI-E |
WOS记录号 | WOS:000378406400001 |
WOS关键词 | CLIMATE-CHANGE ; SOIL-EROSION ; LAND-USE ; HURST EXPONENT ; GREEN PROGRAM ; CARBON STOCKS ; NDVI ; RESPONSES ; TOPOGRAPHY ; BIOMASS |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/195952 |
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 Observat & Res Stn Karst Ecosyst, Huanjiang 547100, Hechi, Peoples R China; 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 4.Univ Copenhagen, Dept Geosci & Nat Resource Management, DK-1350 Copenhagen, Denmark |
推荐引用方式 GB/T 7714 | Tong, Xiaowei,Wang, Kelin,Brandt, Martin,et al. Assessing Future Vegetation Trends and Restoration Prospects in the Karst Regions of Southwest China[J],2016,8(5). |
APA | Tong, Xiaowei,Wang, Kelin,Brandt, Martin,Yue, Yuemin,Liao, Chujie,&Fensholt, Rasmus.(2016).Assessing Future Vegetation Trends and Restoration Prospects in the Karst Regions of Southwest China.REMOTE SENSING,8(5). |
MLA | Tong, Xiaowei,et al."Assessing Future Vegetation Trends and Restoration Prospects in the Karst Regions of Southwest China".REMOTE SENSING 8.5(2016). |
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