globalchange  > 气候减缓与适应
DOI: 10.1080/01431161.2018.1519286
WOS记录号: WOS:000464043900042
论文题名:
Satellite-based large-scale vegetation dynamics in ecological restoration programmes of Northern China
作者: Wu, Zhitao1; Yu, Lu1; Zhang, Xiaoyu2; Du, Ziqiang1; Zhang, Hong1,2
通讯作者: Zhang, Hong
刊名: INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN: 0143-1161
EISSN: 1366-5901
出版年: 2019
卷: 40, 期:5-6, 页码:2296-2312
语种: 英语
WOS关键词: NET PRIMARY PRODUCTION ; SAND SOURCE REGION ; AFFORESTATION EFFORTS ; CLIMATE CHANGES ; DROUGHT ; NDVI ; TRENDS ; COVER ; DESERTIFICATION ; PRECIPITATION
WOS学科分类: Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向: Remote Sensing ; Imaging Science & Photographic Technology
英文摘要:

In the past, large-scale terrestrial vegetation dynamics have been used to evaluate the efficiency of national ecological restoration programmes in northern China. However, complete documentation and timely updates of vegetation dynamics in the Ecological Restoration Programmes Regions (ERPRs) of northern China are rare. Furthermore, the main challenges in analysing large-scale vegetation changes in ERPRs are so far not entirely clear. We chose four ERPR study areas (the Beijing-Tianjin Sand Source Region (BTSSR), the Loess Plateau (LP), and the north-east (NE), and the north-west (NW) of the Three-North Shelterbelt Forest Project (TNSFP)), avoiding the overlap of administrative regions. We used long-term Normalised Different Vegetation Index (NDVI) data to investigate the trends of vegetation activities in these four ERPRs of northern China between 1982 and 2011. A persistent and widespread increase of the growing season NDVI was found in this time span, with 58.54% increase in NE, 89.84% in LP, 54.59% in BTSSR, and 76.13% in NW. The observed increase of NDVI indicates the success of Chinese restoration programmes, which have helped to improve ecological conditions after 2000. However, a comparison of long-term vegetation changes between before and after implementation of restoration programmes is insufficient for assessing the programmes' efficiency. Large-scale Dynamic Global Vegetation Models (DGVMs) are promising tools for future evaluation of the benefits of ecological restoration programmes.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125452
Appears in Collections:气候减缓与适应

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作者单位: 1.Shanxi Univ, Inst Loess Plateau, Taiyuan 030006, Shanxi, Peoples R China
2.Shanxi Univ, Coll Environm & Resource Sci, Taiyuan, Shanxi, Peoples R China

Recommended Citation:
Wu, Zhitao,Yu, Lu,Zhang, Xiaoyu,et al. Satellite-based large-scale vegetation dynamics in ecological restoration programmes of Northern China[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019-01-01,40(5-6):2296-2312
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