Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia
Inner Mongolia is an important ecological zone of northern China and 67% of its land area is grassland. This ecologically fragile region has experienced significant vegetation degradation during the last decades. Although the spatial extents and rates of vegetation change have previously been charac...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-08-01
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| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/15481603.2020.1794395 |
| _version_ | 1827811700561149952 |
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| author | Xiaoxiao Yan Jing Li Yang Shao Zhenqi Hu Zhen Yang Shouqiang Yin lvyuan Cui |
| author_facet | Xiaoxiao Yan Jing Li Yang Shao Zhenqi Hu Zhen Yang Shouqiang Yin lvyuan Cui |
| author_sort | Xiaoxiao Yan |
| collection | DOAJ |
| description | Inner Mongolia is an important ecological zone of northern China and 67% of its land area is grassland. This ecologically fragile region has experienced significant vegetation degradation during the last decades. Although the spatial extents and rates of vegetation change have previously been characterized through various remote sensing and GIS studies, the underlying driving factors of vegetation changes are still not well understood. In this study, we first used time-series MODIS NDVI data from 2000 to 2016 to characterize the temporal trend of vegetation changes. These vegetation change trends were compared with climate and socioeconomic variables to determine the potential drivers. We used a set of statistical methods, including multiple linear regression (MLR), spatial correlation analysis, and partial least squares (PLS) regression analyzes, to quantify the spatial distribution of the driving forces and their relative importance to vegetation changes. Results show that the main driving factors and their impact magnitude (weight) are in the order of human activities (r = -0.785, p < 0.01, VIP = 1.37), precipitation (r = 0.541, p < 0.05, VIP = 0.89), temperature (r = -0.319, p > 0.05 VIP = 0.59). The area affected by human activities was 10.57%. Specific human activities, such as coal mining and grazing were negatively associated with vegetation cover, while eco-engineering projects had positive impacts. This study provided thorough quantification of driving forces of vegetation change and enhanced our understanding of their interactions. Our integrated geospatial-statistical approach is particularly important for sustainable development of ecosystem balance in Chen Barag Banner and other areas facing similar challenges. |
| first_indexed | 2024-03-11T23:09:18Z |
| format | Article |
| id | doaj.art-44849853f2444479a56d0e9b4a423b1e |
| institution | Directory Open Access Journal |
| issn | 1548-1603 1943-7226 |
| language | English |
| last_indexed | 2024-03-11T23:09:18Z |
| publishDate | 2020-08-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GIScience & Remote Sensing |
| spelling | doaj.art-44849853f2444479a56d0e9b4a423b1e2023-09-21T12:34:16ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262020-08-0157675376910.1080/15481603.2020.17943951794395Driving forces of grassland vegetation changes in Chen Barag Banner, Inner MongoliaXiaoxiao Yan0Jing Li1Yang Shao2Zhenqi Hu3Zhen Yang4Shouqiang Yin5lvyuan Cui6China University of Mining and Technology-BeijingChina University of Mining and Technology-BeijingVirginia TechChina University of Mining and Technology-BeijingChina University of Mining and Technology-BeijingChina University of Mining and Technology-BeijingChina University of Mining and Technology-BeijingInner Mongolia is an important ecological zone of northern China and 67% of its land area is grassland. This ecologically fragile region has experienced significant vegetation degradation during the last decades. Although the spatial extents and rates of vegetation change have previously been characterized through various remote sensing and GIS studies, the underlying driving factors of vegetation changes are still not well understood. In this study, we first used time-series MODIS NDVI data from 2000 to 2016 to characterize the temporal trend of vegetation changes. These vegetation change trends were compared with climate and socioeconomic variables to determine the potential drivers. We used a set of statistical methods, including multiple linear regression (MLR), spatial correlation analysis, and partial least squares (PLS) regression analyzes, to quantify the spatial distribution of the driving forces and their relative importance to vegetation changes. Results show that the main driving factors and their impact magnitude (weight) are in the order of human activities (r = -0.785, p < 0.01, VIP = 1.37), precipitation (r = 0.541, p < 0.05, VIP = 0.89), temperature (r = -0.319, p > 0.05 VIP = 0.59). The area affected by human activities was 10.57%. Specific human activities, such as coal mining and grazing were negatively associated with vegetation cover, while eco-engineering projects had positive impacts. This study provided thorough quantification of driving forces of vegetation change and enhanced our understanding of their interactions. Our integrated geospatial-statistical approach is particularly important for sustainable development of ecosystem balance in Chen Barag Banner and other areas facing similar challenges.http://dx.doi.org/10.1080/15481603.2020.1794395grassland vegetation changesndvilinear regressionplsdriving forces |
| spellingShingle | Xiaoxiao Yan Jing Li Yang Shao Zhenqi Hu Zhen Yang Shouqiang Yin lvyuan Cui Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia GIScience & Remote Sensing grassland vegetation changes ndvi linear regression pls driving forces |
| title | Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia |
| title_full | Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia |
| title_fullStr | Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia |
| title_full_unstemmed | Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia |
| title_short | Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia |
| title_sort | driving forces of grassland vegetation changes in chen barag banner inner mongolia |
| topic | grassland vegetation changes ndvi linear regression pls driving forces |
| url | http://dx.doi.org/10.1080/15481603.2020.1794395 |
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