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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Autores principales:	Ang Chen, Xiuchun Yang, Jian Guo, Xiaoyu Xing, Dong Yang, Bin Xu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Northern sand-prevention belt (NSPB) Remote sensing-based desertification index (RSDI) Spatial distribution Trend analysis Driving forces Restoration Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/6f4401b7be694c5286cb1cc7e950603d
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spelling	oai:doaj.org-article:6f4401b7be694c5286cb1cc7e950603d2021-12-01T05:00:56ZSynthesized remote sensing-based desertification index reveals ecological restoration and its driving forces in the northern sand-prevention belt of China1470-160X10.1016/j.ecolind.2021.108230https://doaj.org/article/6f4401b7be694c5286cb1cc7e950603d2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21008955https://doaj.org/toc/1470-160XThe 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.Ang ChenXiuchun YangJian GuoXiaoyu XingDong YangBin XuElsevierarticleNorthern sand-prevention belt (NSPB)Remote sensing-based desertification index (RSDI)Spatial distributionTrend analysisDriving forcesRestorationEcologyQH540-549.5ENEcological Indicators, Vol 131, Iss , Pp 108230- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Northern sand-prevention belt (NSPB) Remote sensing-based desertification index (RSDI) Spatial distribution Trend analysis Driving forces Restoration Ecology QH540-549.5
spellingShingle	Northern sand-prevention belt (NSPB) Remote sensing-based desertification index (RSDI) Spatial distribution Trend analysis Driving forces Restoration Ecology QH540-549.5 Ang Chen Xiuchun Yang Jian Guo Xiaoyu Xing Dong Yang Bin Xu Synthesized remote sensing-based desertification index reveals ecological restoration and its driving forces in the northern sand-prevention belt of China
description	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.
format	article
author	Ang Chen Xiuchun Yang Jian Guo Xiaoyu Xing Dong Yang Bin Xu
author_facet	Ang Chen Xiuchun Yang Jian Guo Xiaoyu Xing Dong Yang Bin Xu
author_sort	Ang Chen
title	Synthesized remote sensing-based desertification index reveals ecological restoration and its driving forces in the northern sand-prevention belt of China
title_short	Synthesized remote sensing-based desertification index reveals ecological restoration and its driving forces in the northern sand-prevention belt of China
title_full	Synthesized remote sensing-based desertification index reveals ecological restoration and its driving forces in the northern sand-prevention belt of China
title_fullStr	Synthesized remote sensing-based desertification index reveals ecological restoration and its driving forces in the northern sand-prevention belt of China
title_full_unstemmed	Synthesized remote sensing-based desertification index reveals ecological restoration and its driving forces in the northern sand-prevention belt of China
title_sort	synthesized remote sensing-based desertification index reveals ecological restoration and its driving forces in the northern sand-prevention belt of china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/6f4401b7be694c5286cb1cc7e950603d
work_keys_str_mv	AT angchen synthesizedremotesensingbaseddesertificationindexrevealsecologicalrestorationanditsdrivingforcesinthenorthernsandpreventionbeltofchina AT xiuchunyang synthesizedremotesensingbaseddesertificationindexrevealsecologicalrestorationanditsdrivingforcesinthenorthernsandpreventionbeltofchina AT jianguo synthesizedremotesensingbaseddesertificationindexrevealsecologicalrestorationanditsdrivingforcesinthenorthernsandpreventionbeltofchina AT xiaoyuxing synthesizedremotesensingbaseddesertificationindexrevealsecologicalrestorationanditsdrivingforcesinthenorthernsandpreventionbeltofchina AT dongyang synthesizedremotesensingbaseddesertificationindexrevealsecologicalrestorationanditsdrivingforcesinthenorthernsandpreventionbeltofchina AT binxu synthesizedremotesensingbaseddesertificationindexrevealsecologicalrestorationanditsdrivingforcesinthenorthernsandpreventionbeltofchina
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Synthesized remote sensing-based desertification index reveals ecological restoration and its driving forces in the northern sand-prevention belt of China

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