Analysis of the Spatial–Temporal Characteristics of Vegetation Cover Changes in the Loess Plateau from 1995 to 2020
The Loess Plateau is one of the most severely affected regions by soil erosion in the world, with a fragile ecological environment. Vegetation plays a key role in the region’s ecological restoration and protection. This study employs the Geographical Detector (Geodetector) model to quantitatively as...
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MDPI AG
2025-02-01
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| Series: | Land |
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| author | Zhihong Yao Yichao Huang Yiwen Zhang Qinke Yang Peng Jiao Menghao Yang |
| author_facet | Zhihong Yao Yichao Huang Yiwen Zhang Qinke Yang Peng Jiao Menghao Yang |
| author_sort | Zhihong Yao |
| collection | DOAJ |
| description | The Loess Plateau is one of the most severely affected regions by soil erosion in the world, with a fragile ecological environment. Vegetation plays a key role in the region’s ecological restoration and protection. This study employs the Geographical Detector (Geodetector) model to quantitatively assess the impact of natural and human factors, such as temperature, precipitation, soil type, and land use, on vegetation growth. It aims to reveal the characteristics and driving mechanisms of vegetation cover changes on the Loess Plateau over the past 26 years. The results indicate that from 1995 to 2020, the vegetation coverage on the Loess Plateau shows an increasing trend, with a fitted slope of 0.01021 and an R<sup>2</sup> of 0.96466. The Geodetector indicates that the factors with the greatest impact on vegetation cover in the Loess Plateau are temperature, precipitation, soil type, and land use. The highest average vegetation coverage is achieved when the temperature is between −4.8 and 2 °C or 12 and 16 °C, precipitation is between 630.64 and 935.51 mm, the soil type is leaching soil, and the land use type is forest. And the interaction between all factors has a greater effect on the vegetation cover than any single factor alone. This study reveals the factors influencing vegetation growth on the Loess Plateau, as well as their types and ranges, providing a scientific basis and guidance for improving vegetation coverage in this region. |
| format | Article |
| id | doaj-art-58779857d50744dbb0371af2ff40b40e |
| institution | DOAJ |
| issn | 2073-445X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
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| series | Land |
| spelling | doaj-art-58779857d50744dbb0371af2ff40b40e2025-08-20T02:44:53ZengMDPI AGLand2073-445X2025-02-0114230310.3390/land14020303Analysis of the Spatial–Temporal Characteristics of Vegetation Cover Changes in the Loess Plateau from 1995 to 2020Zhihong Yao0Yichao Huang1Yiwen Zhang2Qinke Yang3Peng Jiao4Menghao Yang5College of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaCollege of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaCollege of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaDepartment of Urban and Resource Sciences, Northwest University, Xi’an 710069, ChinaYellow River Institute of Hydraulic Research, Zhengzhou 450003, ChinaCollege of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaThe Loess Plateau is one of the most severely affected regions by soil erosion in the world, with a fragile ecological environment. Vegetation plays a key role in the region’s ecological restoration and protection. This study employs the Geographical Detector (Geodetector) model to quantitatively assess the impact of natural and human factors, such as temperature, precipitation, soil type, and land use, on vegetation growth. It aims to reveal the characteristics and driving mechanisms of vegetation cover changes on the Loess Plateau over the past 26 years. The results indicate that from 1995 to 2020, the vegetation coverage on the Loess Plateau shows an increasing trend, with a fitted slope of 0.01021 and an R<sup>2</sup> of 0.96466. The Geodetector indicates that the factors with the greatest impact on vegetation cover in the Loess Plateau are temperature, precipitation, soil type, and land use. The highest average vegetation coverage is achieved when the temperature is between −4.8 and 2 °C or 12 and 16 °C, precipitation is between 630.64 and 935.51 mm, the soil type is leaching soil, and the land use type is forest. And the interaction between all factors has a greater effect on the vegetation cover than any single factor alone. This study reveals the factors influencing vegetation growth on the Loess Plateau, as well as their types and ranges, providing a scientific basis and guidance for improving vegetation coverage in this region.https://www.mdpi.com/2073-445X/14/2/303Loess PlateauNDVIvegetation coverland usegeographical detector model |
| spellingShingle | Zhihong Yao Yichao Huang Yiwen Zhang Qinke Yang Peng Jiao Menghao Yang Analysis of the Spatial–Temporal Characteristics of Vegetation Cover Changes in the Loess Plateau from 1995 to 2020 Land Loess Plateau NDVI vegetation cover land use geographical detector model |
| title | Analysis of the Spatial–Temporal Characteristics of Vegetation Cover Changes in the Loess Plateau from 1995 to 2020 |
| title_full | Analysis of the Spatial–Temporal Characteristics of Vegetation Cover Changes in the Loess Plateau from 1995 to 2020 |
| title_fullStr | Analysis of the Spatial–Temporal Characteristics of Vegetation Cover Changes in the Loess Plateau from 1995 to 2020 |
| title_full_unstemmed | Analysis of the Spatial–Temporal Characteristics of Vegetation Cover Changes in the Loess Plateau from 1995 to 2020 |
| title_short | Analysis of the Spatial–Temporal Characteristics of Vegetation Cover Changes in the Loess Plateau from 1995 to 2020 |
| title_sort | analysis of the spatial temporal characteristics of vegetation cover changes in the loess plateau from 1995 to 2020 |
| topic | Loess Plateau NDVI vegetation cover land use geographical detector model |
| url | https://www.mdpi.com/2073-445X/14/2/303 |
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