A remote sensing evidence on the marginality, stagementation and spatiotemporal heterogeneity of vegetation evolution characteristics in the Yinshan Mountains, China: Based on PKU GIMMS NDVI (1984–2022)
This study focuses on a typical Ecological Vulnerable Area (EVA)-Yinshan mountains (YSMs), using PKU GIMMS NDVI as a vegetation growth indicator, to explore the spatiotemporal heterogeneity and driving mechanisms of vegetation in in desertified steppe ecosystems (DSEs) of arid and semi-arid regions....
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| Language: | English |
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Elsevier
2025-02-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25001220 |
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| author | Menglin Yan Jingyang Lu Yingying Ma Chao Ma |
| author_facet | Menglin Yan Jingyang Lu Yingying Ma Chao Ma |
| author_sort | Menglin Yan |
| collection | DOAJ |
| description | This study focuses on a typical Ecological Vulnerable Area (EVA)-Yinshan mountains (YSMs), using PKU GIMMS NDVI as a vegetation growth indicator, to explore the spatiotemporal heterogeneity and driving mechanisms of vegetation in in desertified steppe ecosystems (DSEs) of arid and semi-arid regions. The Theil-Sen (T-S) Median trend analysis & Mann-Kendall (M-K) trend test, Hurst index, correlation analysis, partial correlation analysis, residual analysis and bivariate spatial autocorrelation (Bi-SA) analysis were used for quantitative analysis. Findings revealed: (1) Vegetation distribution had spatial heterogeneity, with a stepwise distribution from southeast to northwest; (2) Vegetation growth had temporal stagementation, with “stable-plunge-rise” pattern; (3) Climate trend displayed “warmer and wetter”, with growth rates of 0.045 °C/a and 0.558 mm/a, respectively; (4) Vegetation response to precipitation was sensitive with strong spatial correlation (Moran’s I = 0.88, P < 0.01); (5) Influence of human activities on the growth of vegetation was weak. The study emphasizes that the overall ecological quality of the YSMs has long been low. In recent decades, despite some improvements, the ecosystem remains extremely sensitive, fragile and volatile. Consequently, there is an urgent need to strengthen eco-environmental protection and management. |
| format | Article |
| id | doaj-art-13ee2a30f5974bedaf324d0e5a5e3b43 |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-13ee2a30f5974bedaf324d0e5a5e3b432025-02-12T05:30:46ZengElsevierEcological Indicators1470-160X2025-02-01171113193A remote sensing evidence on the marginality, stagementation and spatiotemporal heterogeneity of vegetation evolution characteristics in the Yinshan Mountains, China: Based on PKU GIMMS NDVI (1984–2022)Menglin Yan0Jingyang Lu1Yingying Ma2Chao Ma3School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, Guangdong Province, China; School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, Henan Province, ChinaSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, Henan Province, ChinaSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, Henan Province, ChinaSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, Henan Province, China; Key Laboratory of Spatiotemporal Information and Ecological Restoration of Mines (MNR), Henan Polytechnic University, Jiaozuo 454003, Henan Province, China; Research Centre of Arable Land Protection and Urban-rural High-quality Development in Yellow River Basin, Henan Polytechnic University, Jiaozuo 454003, Henan Province, China; Corresponding author at: School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, Henan Province, China.This study focuses on a typical Ecological Vulnerable Area (EVA)-Yinshan mountains (YSMs), using PKU GIMMS NDVI as a vegetation growth indicator, to explore the spatiotemporal heterogeneity and driving mechanisms of vegetation in in desertified steppe ecosystems (DSEs) of arid and semi-arid regions. The Theil-Sen (T-S) Median trend analysis & Mann-Kendall (M-K) trend test, Hurst index, correlation analysis, partial correlation analysis, residual analysis and bivariate spatial autocorrelation (Bi-SA) analysis were used for quantitative analysis. Findings revealed: (1) Vegetation distribution had spatial heterogeneity, with a stepwise distribution from southeast to northwest; (2) Vegetation growth had temporal stagementation, with “stable-plunge-rise” pattern; (3) Climate trend displayed “warmer and wetter”, with growth rates of 0.045 °C/a and 0.558 mm/a, respectively; (4) Vegetation response to precipitation was sensitive with strong spatial correlation (Moran’s I = 0.88, P < 0.01); (5) Influence of human activities on the growth of vegetation was weak. The study emphasizes that the overall ecological quality of the YSMs has long been low. In recent decades, despite some improvements, the ecosystem remains extremely sensitive, fragile and volatile. Consequently, there is an urgent need to strengthen eco-environmental protection and management.http://www.sciencedirect.com/science/article/pii/S1470160X25001220Desertified steppe ecosystemsYinshan mountainsPKU GIMMS NDVISpatiotemporal patternClimate changeHuman activities |
| spellingShingle | Menglin Yan Jingyang Lu Yingying Ma Chao Ma A remote sensing evidence on the marginality, stagementation and spatiotemporal heterogeneity of vegetation evolution characteristics in the Yinshan Mountains, China: Based on PKU GIMMS NDVI (1984–2022) Ecological Indicators Desertified steppe ecosystems Yinshan mountains PKU GIMMS NDVI Spatiotemporal pattern Climate change Human activities |
| title | A remote sensing evidence on the marginality, stagementation and spatiotemporal heterogeneity of vegetation evolution characteristics in the Yinshan Mountains, China: Based on PKU GIMMS NDVI (1984–2022) |
| title_full | A remote sensing evidence on the marginality, stagementation and spatiotemporal heterogeneity of vegetation evolution characteristics in the Yinshan Mountains, China: Based on PKU GIMMS NDVI (1984–2022) |
| title_fullStr | A remote sensing evidence on the marginality, stagementation and spatiotemporal heterogeneity of vegetation evolution characteristics in the Yinshan Mountains, China: Based on PKU GIMMS NDVI (1984–2022) |
| title_full_unstemmed | A remote sensing evidence on the marginality, stagementation and spatiotemporal heterogeneity of vegetation evolution characteristics in the Yinshan Mountains, China: Based on PKU GIMMS NDVI (1984–2022) |
| title_short | A remote sensing evidence on the marginality, stagementation and spatiotemporal heterogeneity of vegetation evolution characteristics in the Yinshan Mountains, China: Based on PKU GIMMS NDVI (1984–2022) |
| title_sort | remote sensing evidence on the marginality stagementation and spatiotemporal heterogeneity of vegetation evolution characteristics in the yinshan mountains china based on pku gimms ndvi 1984 2022 |
| topic | Desertified steppe ecosystems Yinshan mountains PKU GIMMS NDVI Spatiotemporal pattern Climate change Human activities |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X25001220 |
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