Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China
The first successful sand-control was achieved in the Mu Us Desert by local people in the 1950–1960s, and their experience and approach have been extended to the whole Ordos and Northern China since then. The objective of this paper is to assess comprehensively the effectiveness of sand-control in 1...
| Main Authors: | , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/4/837 |
| _version_ | 1797476831522193408 |
|---|---|
| author | Jie Li Weicheng Wu Xiao Fu Jingheng Jiang Yixuan Liu Ming Zhang Xiaoting Zhou Xinxin Ke Yecheng He Wenjing Li Cuimin Zhou Yuan Li Yifei Song Hongli Yang Qihong Tu |
| author_facet | Jie Li Weicheng Wu Xiao Fu Jingheng Jiang Yixuan Liu Ming Zhang Xiaoting Zhou Xinxin Ke Yecheng He Wenjing Li Cuimin Zhou Yuan Li Yifei Song Hongli Yang Qihong Tu |
| author_sort | Jie Li |
| collection | DOAJ |
| description | The first successful sand-control was achieved in the Mu Us Desert by local people in the 1950–1960s, and their experience and approach have been extended to the whole Ordos and Northern China since then. The objective of this paper is to assess comprehensively the effectiveness of sand-control in 15 counties in and around Mu Us using multitemporal satellite images and socioeconomic data. After atmospheric correction, Landsat TM and OLI images were harnessed for land cover classification based on the ground-truth data and for derivation of the GDVI (generalized difference vegetation index) to extract the biophysical changes of the managed desert and desertification. Climatic, socioeconomic, environmental and spatial factors were selected for coupling analysis by multiple linear and logistic regression models to reveal the driving forces of desertification and their spatial determinants. The results show that from 1991 to 2020, 8712 km<sup>2</sup> or 63% of the desert has been converted into pastures and shrublands with a greenness increase of 0.3509 in GDVI; the effectiveness of sand-control is favored by the rational agropastoral activities and policies; though desertification occurs locally, it is associated with both climatic and socioeconomic factors, such as wind speed, precipitation, water availability, distance to roads and animal husbandry. |
| first_indexed | 2024-03-09T21:09:20Z |
| format | Article |
| id | doaj.art-9036c4b74c31406a8503a1befaad1bff |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T21:09:20Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9036c4b74c31406a8503a1befaad1bff2023-11-23T21:53:00ZengMDPI AGRemote Sensing2072-42922022-02-0114483710.3390/rs14040837Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, ChinaJie Li0Weicheng Wu1Xiao Fu2Jingheng Jiang3Yixuan Liu4Ming Zhang5Xiaoting Zhou6Xinxin Ke7Yecheng He8Wenjing Li9Cuimin Zhou10Yuan Li11Yifei Song12Hongli Yang13Qihong Tu14Key Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaKey Laboratory of Digital Lands, Resources and Faculty of Earth Sciences, East China University of Technology, Nanchang 330013, ChinaThe first successful sand-control was achieved in the Mu Us Desert by local people in the 1950–1960s, and their experience and approach have been extended to the whole Ordos and Northern China since then. The objective of this paper is to assess comprehensively the effectiveness of sand-control in 15 counties in and around Mu Us using multitemporal satellite images and socioeconomic data. After atmospheric correction, Landsat TM and OLI images were harnessed for land cover classification based on the ground-truth data and for derivation of the GDVI (generalized difference vegetation index) to extract the biophysical changes of the managed desert and desertification. Climatic, socioeconomic, environmental and spatial factors were selected for coupling analysis by multiple linear and logistic regression models to reveal the driving forces of desertification and their spatial determinants. The results show that from 1991 to 2020, 8712 km<sup>2</sup> or 63% of the desert has been converted into pastures and shrublands with a greenness increase of 0.3509 in GDVI; the effectiveness of sand-control is favored by the rational agropastoral activities and policies; though desertification occurs locally, it is associated with both climatic and socioeconomic factors, such as wind speed, precipitation, water availability, distance to roads and animal husbandry.https://www.mdpi.com/2072-4292/14/4/837post-classification differencinggeneralized difference vegetation index (GDVI)multiple linear regressionlogistic regression |
| spellingShingle | Jie Li Weicheng Wu Xiao Fu Jingheng Jiang Yixuan Liu Ming Zhang Xiaoting Zhou Xinxin Ke Yecheng He Wenjing Li Cuimin Zhou Yuan Li Yifei Song Hongli Yang Qihong Tu Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China Remote Sensing post-classification differencing generalized difference vegetation index (GDVI) multiple linear regression logistic regression |
| title | Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China |
| title_full | Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China |
| title_fullStr | Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China |
| title_full_unstemmed | Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China |
| title_short | Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China |
| title_sort | assessment of the effectiveness of sand control and desertification in the mu us desert china |
| topic | post-classification differencing generalized difference vegetation index (GDVI) multiple linear regression logistic regression |
| url | https://www.mdpi.com/2072-4292/14/4/837 |
| work_keys_str_mv | AT jieli assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT weichengwu assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT xiaofu assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT jinghengjiang assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT yixuanliu assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT mingzhang assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT xiaotingzhou assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT xinxinke assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT yechenghe assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT wenjingli assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT cuiminzhou assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT yuanli assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT yifeisong assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT hongliyang assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina AT qihongtu assessmentoftheeffectivenessofsandcontrolanddesertificationinthemuusdesertchina |