Impacts of climate change and afforestation on vegetation dynamic in the Mu Us Desert, China

As an important part of the terrestrial ecosystem, vegetation is commonly used as an indicator to evaluate climate change and ecological restoration efforts. In China’s farming-pastoral areas, the Mu Us Desert is a typical area utilizing desertification control methods where vegetation cover has sig...

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Autores principales:	Zenghui Sun, Zhongan Mao, Liangyan Yang, Zhe Liu, Jichang Han, Huanyuan Wanag, Wei He
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Vegetation cover NDVI Climatic factors Afforestation Mu Us Desert Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/23388b7d154f415fbf81a439ba435a12
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spelling	oai:doaj.org-article:23388b7d154f415fbf81a439ba435a122021-12-01T04:58:06ZImpacts of climate change and afforestation on vegetation dynamic in the Mu Us Desert, China1470-160X10.1016/j.ecolind.2021.108020https://doaj.org/article/23388b7d154f415fbf81a439ba435a122021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006853https://doaj.org/toc/1470-160XAs an important part of the terrestrial ecosystem, vegetation is commonly used as an indicator to evaluate climate change and ecological restoration efforts. In China’s farming-pastoral areas, the Mu Us Desert is a typical area utilizing desertification control methods where vegetation cover has significantly changed in recent years. It is important to assess how climate change and afforestation affect vegetation activity dynamic in this region. This study aims to investigate the relationship between vegetation and climate change by using the normalized difference vegetation index (NDVI), and to find the cause of vegetation change by performing multiple linear regression analysis in the Mu Us Desert (including 11 counties) during the period from 2000 to 2019. The results showed that NDVI of the growing season (May to October) across the whole region increased by 0.0058 per year during the 20-year study period. Correlation analysis between the NDVI and climatic factors indicated that precipitation, temperature and relative humidity had a significant positive correlation, and mean wind speed and sunshine hours had a significant negative correlation across the study area (except for mean wind speed in Shenmu and Yuyang). Stepwise multiple linear regression analysis indicated that the relative contribution by climatic factors and afforestation to NDVI change was 41.9% and 58.1% across the study area, respectively. Findings from our study may help to provide scientific support for decision making concerning ecological restoration management and policy efficiency estimation in other similar desert areas.Zenghui SunZhongan MaoLiangyan YangZhe LiuJichang HanHuanyuan WanagWei HeElsevierarticleVegetation coverNDVIClimatic factorsAfforestationMu Us DesertEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 108020- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Vegetation cover NDVI Climatic factors Afforestation Mu Us Desert Ecology QH540-549.5
spellingShingle	Vegetation cover NDVI Climatic factors Afforestation Mu Us Desert Ecology QH540-549.5 Zenghui Sun Zhongan Mao Liangyan Yang Zhe Liu Jichang Han Huanyuan Wanag Wei He Impacts of climate change and afforestation on vegetation dynamic in the Mu Us Desert, China
description	As an important part of the terrestrial ecosystem, vegetation is commonly used as an indicator to evaluate climate change and ecological restoration efforts. In China’s farming-pastoral areas, the Mu Us Desert is a typical area utilizing desertification control methods where vegetation cover has significantly changed in recent years. It is important to assess how climate change and afforestation affect vegetation activity dynamic in this region. This study aims to investigate the relationship between vegetation and climate change by using the normalized difference vegetation index (NDVI), and to find the cause of vegetation change by performing multiple linear regression analysis in the Mu Us Desert (including 11 counties) during the period from 2000 to 2019. The results showed that NDVI of the growing season (May to October) across the whole region increased by 0.0058 per year during the 20-year study period. Correlation analysis between the NDVI and climatic factors indicated that precipitation, temperature and relative humidity had a significant positive correlation, and mean wind speed and sunshine hours had a significant negative correlation across the study area (except for mean wind speed in Shenmu and Yuyang). Stepwise multiple linear regression analysis indicated that the relative contribution by climatic factors and afforestation to NDVI change was 41.9% and 58.1% across the study area, respectively. Findings from our study may help to provide scientific support for decision making concerning ecological restoration management and policy efficiency estimation in other similar desert areas.
format	article
author	Zenghui Sun Zhongan Mao Liangyan Yang Zhe Liu Jichang Han Huanyuan Wanag Wei He
author_facet	Zenghui Sun Zhongan Mao Liangyan Yang Zhe Liu Jichang Han Huanyuan Wanag Wei He
author_sort	Zenghui Sun
title	Impacts of climate change and afforestation on vegetation dynamic in the Mu Us Desert, China
title_short	Impacts of climate change and afforestation on vegetation dynamic in the Mu Us Desert, China
title_full	Impacts of climate change and afforestation on vegetation dynamic in the Mu Us Desert, China
title_fullStr	Impacts of climate change and afforestation on vegetation dynamic in the Mu Us Desert, China
title_full_unstemmed	Impacts of climate change and afforestation on vegetation dynamic in the Mu Us Desert, China
title_sort	impacts of climate change and afforestation on vegetation dynamic in the mu us desert, china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/23388b7d154f415fbf81a439ba435a12
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Impacts of climate change and afforestation on vegetation dynamic in the Mu Us Desert, China

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