The trend of vegetation greening and its drivers in the Agro-pastoral ecotone of northern China, 2000–2020

Revegetation practices have continued for nearly 20 years in the agro-pastoral ecotone of northern China (AENC), but it still remains unknown how human-induced efforts have contributed to vegetation restoration. This study analyzed the spatiotemporal dynamics of vegetation coverage in the AENC durin...

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Autores principales: Hongwei Pei, Mengzhu Liu, Yugui Jia, Hongjuan Zhang, Yali Li, Yuxiao Xiao
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Publicado: Elsevier 2021
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spelling oai:doaj.org-article:7aaa5dd583564b729798279eef61cacb2021-12-01T04:57:47ZThe trend of vegetation greening and its drivers in the Agro-pastoral ecotone of northern China, 2000–20201470-160X10.1016/j.ecolind.2021.108004https://doaj.org/article/7aaa5dd583564b729798279eef61cacb2021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006695https://doaj.org/toc/1470-160XRevegetation practices have continued for nearly 20 years in the agro-pastoral ecotone of northern China (AENC), but it still remains unknown how human-induced efforts have contributed to vegetation restoration. This study analyzed the spatiotemporal dynamics of vegetation coverage in the AENC during 2000–2020 in terms of the normalized difference vegetation index (NDVI) using MODIS NDVI datasets, projected the future trend of vegetation variations, and was first to quantify the relative contributions of climatic and anthropogenic impacts on the vegetation variations in the AENC by residual analysis. The results showed that the vegetation in the AENC was greening in recent 20 years due to pronounced increases in NDVI at a rate of 0.00623 year−1, but the trend of vegetation greening was unsustainable as a whole, especially in the central AENC, where large areas of vegetation will degrade in the future. Specifically, anthropogenic and climatic impacts jointly determined vegetation greening in almost 89% of the AENC. Human activities, especially large-scale afforestation, was the most important driver that contributed to vegetation greening in the AENC as a result of the relative role of approximately 66% of NDVI variations (34% from climate change). Despite the significant expansion in forest coverage, excessive afforestation had complex and unpredictable impacts on vegetation growth, and hence the eco-restoraiton is better to make vegetation recover in its natural form. This study revealed a more significant NDVI uptrend in the AENC than previously understood, highlighted the decisive role of human activities in vegetation greening over the last 20 years, and was expected to offer a better understanding and information for local ecological restoration.Hongwei PeiMengzhu LiuYugui JiaHongjuan ZhangYali LiYuxiao XiaoElsevierarticleVegetation greeningNormalized difference vegetation indexResidual analysisAfforestationAgro-pastoral ecotoneEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 108004- (2021)
institution DOAJ
collection DOAJ
language EN
topic Vegetation greening
Normalized difference vegetation index
Residual analysis
Afforestation
Agro-pastoral ecotone
Ecology
QH540-549.5
spellingShingle Vegetation greening
Normalized difference vegetation index
Residual analysis
Afforestation
Agro-pastoral ecotone
Ecology
QH540-549.5
Hongwei Pei
Mengzhu Liu
Yugui Jia
Hongjuan Zhang
Yali Li
Yuxiao Xiao
The trend of vegetation greening and its drivers in the Agro-pastoral ecotone of northern China, 2000–2020
description Revegetation practices have continued for nearly 20 years in the agro-pastoral ecotone of northern China (AENC), but it still remains unknown how human-induced efforts have contributed to vegetation restoration. This study analyzed the spatiotemporal dynamics of vegetation coverage in the AENC during 2000–2020 in terms of the normalized difference vegetation index (NDVI) using MODIS NDVI datasets, projected the future trend of vegetation variations, and was first to quantify the relative contributions of climatic and anthropogenic impacts on the vegetation variations in the AENC by residual analysis. The results showed that the vegetation in the AENC was greening in recent 20 years due to pronounced increases in NDVI at a rate of 0.00623 year−1, but the trend of vegetation greening was unsustainable as a whole, especially in the central AENC, where large areas of vegetation will degrade in the future. Specifically, anthropogenic and climatic impacts jointly determined vegetation greening in almost 89% of the AENC. Human activities, especially large-scale afforestation, was the most important driver that contributed to vegetation greening in the AENC as a result of the relative role of approximately 66% of NDVI variations (34% from climate change). Despite the significant expansion in forest coverage, excessive afforestation had complex and unpredictable impacts on vegetation growth, and hence the eco-restoraiton is better to make vegetation recover in its natural form. This study revealed a more significant NDVI uptrend in the AENC than previously understood, highlighted the decisive role of human activities in vegetation greening over the last 20 years, and was expected to offer a better understanding and information for local ecological restoration.
format article
author Hongwei Pei
Mengzhu Liu
Yugui Jia
Hongjuan Zhang
Yali Li
Yuxiao Xiao
author_facet Hongwei Pei
Mengzhu Liu
Yugui Jia
Hongjuan Zhang
Yali Li
Yuxiao Xiao
author_sort Hongwei Pei
title The trend of vegetation greening and its drivers in the Agro-pastoral ecotone of northern China, 2000–2020
title_short The trend of vegetation greening and its drivers in the Agro-pastoral ecotone of northern China, 2000–2020
title_full The trend of vegetation greening and its drivers in the Agro-pastoral ecotone of northern China, 2000–2020
title_fullStr The trend of vegetation greening and its drivers in the Agro-pastoral ecotone of northern China, 2000–2020
title_full_unstemmed The trend of vegetation greening and its drivers in the Agro-pastoral ecotone of northern China, 2000–2020
title_sort trend of vegetation greening and its drivers in the agro-pastoral ecotone of northern china, 2000–2020
publisher Elsevier
publishDate 2021
url https://doaj.org/article/7aaa5dd583564b729798279eef61cacb
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