Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 2000
As the most extensive temperate grassland in the world, the Eurasian Steppe provides various ecological services that support the environment and human well-being. However, grassland degradation has become a serious environmental issue. Most of the traditional degradation assessments ignore the sens...
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Taylor & Francis Group
2024-12-01
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| Series: | GIScience & Remote Sensing |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/15481603.2024.2430638 |
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| author | Ziyu Yan Bin Sun Zhihai Gao Pengyao Qin Ting Gao Yifu Li |
| author_facet | Ziyu Yan Bin Sun Zhihai Gao Pengyao Qin Ting Gao Yifu Li |
| author_sort | Ziyu Yan |
| collection | DOAJ |
| description | As the most extensive temperate grassland in the world, the Eurasian Steppe provides various ecological services that support the environment and human well-being. However, grassland degradation has become a serious environmental issue. Most of the traditional degradation assessments ignore the sensitivity of grassland ecosystems to climatic conditions. In response, our study introduces a new comprehensive identification framework that integrates vegetation growth and climate change, using a novel long-term monitoring methodology to detect grassland degradation and improvement. The framework quantifies the area and degree of degradation and improvement in the Eurasian Steppe using long time-series data from 2000 − 2020. Then, the driving factors of grassland change were analyzed using a quantitative model. Our findings reveal a clear trend of improvement in the Eurasian Steppe was identified, with the improved area being 4.72 times larger than the degraded area (221.4 × 104 and 46.92 × 104 km2, respectively). The Tibetan Plateau and Loess Plateau led to the improvement. Simultaneously, the area surrounding the northern Caspian Sea has been severely degraded. The three areas correspond to frigid humid and semi-humid grassland, temperate humid and semi-humid grassland, and temperate arid and semi-arid grassland, respectively. Globally, the combined effects of climate change and human activities dominated the observed grassland degradation and improvement, accounting for 77.13% and 89.64%, respectively. Our method provides a robust tool for detecting grassland degradation and improvement across large scales, offering scientific support for achieving the United Nations’ Sustainable Development Goals (SDGs), particularly land degradation neutrality (LDN). |
| format | Article |
| id | doaj-art-02b0a0e1f4114d63831e6a1b32eec30d |
| institution | Kabale University |
| issn | 1548-1603 1943-7226 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GIScience & Remote Sensing |
| spelling | doaj-art-02b0a0e1f4114d63831e6a1b32eec30d2024-12-06T13:51:51ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262024-12-0161110.1080/15481603.2024.2430638Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 2000Ziyu Yan0Bin Sun1Zhihai Gao2Pengyao Qin3Ting Gao4Yifu Li5Institute of Forest Resource Information Techniques (IFRIT), Chinese Academy of Forestry (CAF), Beijing, ChinaInstitute of Forest Resource Information Techniques (IFRIT), Chinese Academy of Forestry (CAF), Beijing, ChinaInstitute of Forest Resource Information Techniques (IFRIT), Chinese Academy of Forestry (CAF), Beijing, ChinaInstitute of Forest Resource Information Techniques (IFRIT), Chinese Academy of Forestry (CAF), Beijing, ChinaInstitute of Forest Resource Information Techniques (IFRIT), Chinese Academy of Forestry (CAF), Beijing, ChinaInstitute of Forest Resource Information Techniques (IFRIT), Chinese Academy of Forestry (CAF), Beijing, ChinaAs the most extensive temperate grassland in the world, the Eurasian Steppe provides various ecological services that support the environment and human well-being. However, grassland degradation has become a serious environmental issue. Most of the traditional degradation assessments ignore the sensitivity of grassland ecosystems to climatic conditions. In response, our study introduces a new comprehensive identification framework that integrates vegetation growth and climate change, using a novel long-term monitoring methodology to detect grassland degradation and improvement. The framework quantifies the area and degree of degradation and improvement in the Eurasian Steppe using long time-series data from 2000 − 2020. Then, the driving factors of grassland change were analyzed using a quantitative model. Our findings reveal a clear trend of improvement in the Eurasian Steppe was identified, with the improved area being 4.72 times larger than the degraded area (221.4 × 104 and 46.92 × 104 km2, respectively). The Tibetan Plateau and Loess Plateau led to the improvement. Simultaneously, the area surrounding the northern Caspian Sea has been severely degraded. The three areas correspond to frigid humid and semi-humid grassland, temperate humid and semi-humid grassland, and temperate arid and semi-arid grassland, respectively. Globally, the combined effects of climate change and human activities dominated the observed grassland degradation and improvement, accounting for 77.13% and 89.64%, respectively. Our method provides a robust tool for detecting grassland degradation and improvement across large scales, offering scientific support for achieving the United Nations’ Sustainable Development Goals (SDGs), particularly land degradation neutrality (LDN).https://www.tandfonline.com/doi/10.1080/15481603.2024.2430638Grassland degradation trendsnet primary productivity (NPP)moisture-responded net primary productivity (MNPP)long-term analysisdriving factors |
| spellingShingle | Ziyu Yan Bin Sun Zhihai Gao Pengyao Qin Ting Gao Yifu Li Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 2000 GIScience & Remote Sensing Grassland degradation trends net primary productivity (NPP) moisture-responded net primary productivity (MNPP) long-term analysis driving factors |
| title | Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 2000 |
| title_full | Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 2000 |
| title_fullStr | Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 2000 |
| title_full_unstemmed | Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 2000 |
| title_short | Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 2000 |
| title_sort | unveiling grassland dynamics trends and drivers of degradation and improvement in the eurasian steppe since 2000 |
| topic | Grassland degradation trends net primary productivity (NPP) moisture-responded net primary productivity (MNPP) long-term analysis driving factors |
| url | https://www.tandfonline.com/doi/10.1080/15481603.2024.2430638 |
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