Spatiotemporal characteristics and driving factors of the fractional vegetation coverage in the Ertix River Basin

The rapid acceleration of global warming and intensifying human activities have exacerbated the fragility and climate sensitivity of ecosystems worldwide, particularly in arid regions. Vegetation, a key component of ecosystems, is critical in enhancing the ecological environment. The Ertix River Bas...

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Main Authors: LIU Yixuan, Alim SAMAT, L.I. Wenbo, Jilili ABUDUWAILI
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2025-06-01
Series:Regional Sustainability
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666660X25000350
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author LIU Yixuan
Alim SAMAT
L.I. Wenbo
Jilili ABUDUWAILI
author_facet LIU Yixuan
Alim SAMAT
L.I. Wenbo
Jilili ABUDUWAILI
author_sort LIU Yixuan
collection DOAJ
description The rapid acceleration of global warming and intensifying human activities have exacerbated the fragility and climate sensitivity of ecosystems worldwide, particularly in arid regions. Vegetation, a key component of ecosystems, is critical in enhancing the ecological environment. The Ertix River Basin (ERB) is a transboundary watershed that spans multiple countries, mostly in arid regions. However, research on the fractional vegetation coverage (FVC) and its driving factors in the ERB remains limited. Investigating the spatiotemporal changes in the FVC and its relationship with various factors in the ERB can offer scientific support for optimizing regional vegetation restoration policies and promoting the coordinated development of human–environment interactions. The Moderate-resolution Imaging Spectroradiometer (MODIS) MYD13Q1 V6 data were obtained via the Google Earth Engine platform, and methods including the pixel dichotomy method, Theil–Sen median trend analysis, and Mann‒Kendall test were employed to examine the spatiotemporal dynamics of the FVC in the ERB from 2003 to 2023, with future trend forecast using the Hurst index. The impacts of natural and socioeconomic factors on the FVC were evaluated through the partial least squares-structural equation model (PLS-SEM). The results indicated that the FVC in the ERB showed a slight degradation trend with an average annual decrease of 0.046% during 2003–2023, with significant changes occurring in 2004, 2010, and 2019. Spatially, 53.380% of the study area was degraded, and the change in the FVC increased gradually from southeast to northwest. The FVC in 63.000% of the study area was highly stable and displayed long-term persistence; and the direct impact of natural factors (path coefficient of 0.617) on the FVC was significantly higher than that of socioeconomic factors (0.167). Among the natural factors, precipitation (0.999) was the most significant. This study reveals the significant impacts of natural and socioeconomic factors on vegetation dynamics in arid regions, and provides a scientific basis for transnational ecological conservation.
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spelling doaj-art-645e45e848ea4d85bc0c99df3d9de6cb2025-07-17T04:45:04ZengKeAi Communications Co. Ltd.Regional Sustainability2666-660X2025-06-0163100227Spatiotemporal characteristics and driving factors of the fractional vegetation coverage in the Ertix River BasinLIU Yixuan0Alim SAMAT1L.I. Wenbo2Jilili ABUDUWAILI3State Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; University of Chinese Academy of Sciences, Beijing, 100049, ChinaState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; China-Kazakhstan Joint Laboratory for Remote Sensing Technology and Application, Al-Farabi Kazakh National University, Almaty, 050012, KazakhstanDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, 27100, ItalyState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; China-Kazakhstan Joint Laboratory for Remote Sensing Technology and Application, Al-Farabi Kazakh National University, Almaty, 050012, Kazakhstan; Corresponding author.The rapid acceleration of global warming and intensifying human activities have exacerbated the fragility and climate sensitivity of ecosystems worldwide, particularly in arid regions. Vegetation, a key component of ecosystems, is critical in enhancing the ecological environment. The Ertix River Basin (ERB) is a transboundary watershed that spans multiple countries, mostly in arid regions. However, research on the fractional vegetation coverage (FVC) and its driving factors in the ERB remains limited. Investigating the spatiotemporal changes in the FVC and its relationship with various factors in the ERB can offer scientific support for optimizing regional vegetation restoration policies and promoting the coordinated development of human–environment interactions. The Moderate-resolution Imaging Spectroradiometer (MODIS) MYD13Q1 V6 data were obtained via the Google Earth Engine platform, and methods including the pixel dichotomy method, Theil–Sen median trend analysis, and Mann‒Kendall test were employed to examine the spatiotemporal dynamics of the FVC in the ERB from 2003 to 2023, with future trend forecast using the Hurst index. The impacts of natural and socioeconomic factors on the FVC were evaluated through the partial least squares-structural equation model (PLS-SEM). The results indicated that the FVC in the ERB showed a slight degradation trend with an average annual decrease of 0.046% during 2003–2023, with significant changes occurring in 2004, 2010, and 2019. Spatially, 53.380% of the study area was degraded, and the change in the FVC increased gradually from southeast to northwest. The FVC in 63.000% of the study area was highly stable and displayed long-term persistence; and the direct impact of natural factors (path coefficient of 0.617) on the FVC was significantly higher than that of socioeconomic factors (0.167). Among the natural factors, precipitation (0.999) was the most significant. This study reveals the significant impacts of natural and socioeconomic factors on vegetation dynamics in arid regions, and provides a scientific basis for transnational ecological conservation.http://www.sciencedirect.com/science/article/pii/S2666660X25000350Fractional vegetationcoverage (FVC)Hurst indexPartial least squares-structural equationmodel (PLS-SEM)
spellingShingle LIU Yixuan
Alim SAMAT
L.I. Wenbo
Jilili ABUDUWAILI
Spatiotemporal characteristics and driving factors of the fractional vegetation coverage in the Ertix River Basin
Regional Sustainability
Fractional vegetation
coverage (FVC)
Hurst index
Partial least squares-
structural equation
model (PLS-SEM)
title Spatiotemporal characteristics and driving factors of the fractional vegetation coverage in the Ertix River Basin
title_full Spatiotemporal characteristics and driving factors of the fractional vegetation coverage in the Ertix River Basin
title_fullStr Spatiotemporal characteristics and driving factors of the fractional vegetation coverage in the Ertix River Basin
title_full_unstemmed Spatiotemporal characteristics and driving factors of the fractional vegetation coverage in the Ertix River Basin
title_short Spatiotemporal characteristics and driving factors of the fractional vegetation coverage in the Ertix River Basin
title_sort spatiotemporal characteristics and driving factors of the fractional vegetation coverage in the ertix river basin
topic Fractional vegetation
coverage (FVC)
Hurst index
Partial least squares-
structural equation
model (PLS-SEM)
url http://www.sciencedirect.com/science/article/pii/S2666660X25000350
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AT alimsamat spatiotemporalcharacteristicsanddrivingfactorsofthefractionalvegetationcoverageintheertixriverbasin
AT liwenbo spatiotemporalcharacteristicsanddrivingfactorsofthefractionalvegetationcoverageintheertixriverbasin
AT jililiabuduwaili spatiotemporalcharacteristicsanddrivingfactorsofthefractionalvegetationcoverageintheertixriverbasin