Synthesized remote sensing-based desertification index reveals ecological restoration and its driving forces in the northern sand-prevention belt of China

The northern sand-prevention belt (NSPB) is the key area for sand control in China, and the various ecological projects conducted there are important to the Chinese strategy for ecological security. In this paper, a new remote sensing-based desertification index (RSDI) based on principal component a...

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Bibliographic Details
Main Authors: Chen, A. (Author), Guo, J. (Author), Xing, X. (Author), Xu, B. (Author), Yang, D. (Author), Yang, X. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03921nam a2200613Ia 4500
001 10.1016-j.ecolind.2021.108230
008 220427s2021 CNT 000 0 und d
020 |a 1470160X (ISSN) 
245 1 0 |a Synthesized remote sensing-based desertification index reveals ecological restoration and its driving forces in the northern sand-prevention belt of China 
260 0 |b Elsevier B.V.  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.ecolind.2021.108230 
520 3 |a The northern sand-prevention belt (NSPB) is the key area for sand control in China, and the various ecological projects conducted there are important to the Chinese strategy for ecological security. In this paper, a new remote sensing-based desertification index (RSDI) based on principal component analysis was constructed from four aspects of vegetation greenness, surface moisture, soil grain size, and surface radiation. The overall evaluation accuracy of the index was 89.2%, and the kappa coefficient was 0.80, indicating high sensitivity to different degrees of aeolian desertification and suitability for multiscale research. The coefficient of variation, Mann–Kendall test, Theil–Sen median trend analysis, and residual analysis were used to analyze the spatiotemporal changes and driving forces of the RSDI in the NSPB from 2000 to 2020. The RSDI was used to compare aeolian desertification in different subregions, land use types, and ecological project areas. The important results are as follows: (1) the trend of the average RSDI was downward, but it increased significantly in 2008–2009 and 2013–2014; (2) the RSDI was characterized by relatively high volatility in 28.9% and moderate volatility in 27.1% of the area; (3) the areas with significant restoration (34.1%) greatly exceeded those with significant deterioration (6%), whereas 59.9% of the total area was stable; and (4) within the area with significant restoration, 57.4% was primarily affected by human activities, and 42.4% was primarily affected by climate change; however, most of the area with significant deterioration (71.1%) was affected by human activities. In general, the degree of aeolian desertification in the NSPB has decreased in the past 20 years and its ecological quality has continued to recover. However, unreasonable human activities still need to be reduced, and the ecological management of areas under serious threat of desertification needs to be strengthened. © 2021 The Authors 
650 0 4 |a biotic factor 
650 0 4 |a China 
650 0 4 |a Climate change 
650 0 4 |a desertification 
650 0 4 |a Deterioration 
650 0 4 |a Driving forces 
650 0 4 |a Driving forces 
650 0 4 |a Ecological project 
650 0 4 |a Ecological restoration 
650 0 4 |a Ecology 
650 0 4 |a environmental factor 
650 0 4 |a environmental management 
650 0 4 |a Human activities 
650 0 4 |a human activity 
650 0 4 |a index method 
650 0 4 |a Land use 
650 0 4 |a Northern sand-prevention belt 
650 0 4 |a Northern sand-prevention belt (NSPB) 
650 0 4 |a principal component analysis 
650 0 4 |a Principal component analysis 
650 0 4 |a remote sensing 
650 0 4 |a Remote sensing 
650 0 4 |a Remote sensing-based desertification index 
650 0 4 |a Remote sensing-based desertification index (RSDI) 
650 0 4 |a Remote-sensing 
650 0 4 |a Restoration 
650 0 4 |a Restoration 
650 0 4 |a restoration ecology 
650 0 4 |a Sand 
650 0 4 |a Significant deteriorations 
650 0 4 |a Spatial distribution 
650 0 4 |a spatiotemporal analysis 
650 0 4 |a Synthesised 
650 0 4 |a Trend analysis 
650 0 4 |a Trend analysis 
700 1 |a Chen, A.  |e author 
700 1 |a Guo, J.  |e author 
700 1 |a Xing, X.  |e author 
700 1 |a Xu, B.  |e author 
700 1 |a Yang, D.  |e author 
700 1 |a Yang, X.  |e author 
773 |t Ecological Indicators