Drivers and Dynamics of Forest and Grassland Ecosystems in the Altai Mountains: A Framework for National Park Conservation

The Altai Mountains region, characterized by its unique biodiversity and significant ecological value, is increasingly under pressure from anthropogenic activities and climate change. This study investigates the spatial and temporal dynamics of forest and grassland ecosystems in the Altai Mountains National Park Candidate Area from 2000 to 2020, and proposes a comprehensive framework for the conservation and management of national parks. Through a detailed analysis of land cover changes, we observed significant forest expansion of 13.65% and grassland degradation of 11.69%. Rapid forest expansion occurred before 2010, followed by accelerated grassland degradation after that, with 2010 identified as the critical turning point. Our analysis highlights the role of key drivers, such as soil type, elevation, cropland expansion, and human activities, in shaping these ecosystems. Using Geodetector and propensity score matching methods, we evaluated the effectiveness of existing protected areas in mitigating forest and grassland loss. While protected areas effectively contributed to forest restoration, they were less successful in preventing grassland decline, underscoring the need for integrated management approaches. The findings from this study provide critical insights into ecosystem dynamics and conservation effectiveness, offering valuable guidance for the establishment of national-park-type protected areas and broader regional conservation efforts.

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Publication Details

Journal
Land
Published
2024-12-29
DOI
https://doi.org/10.3390/land14010048
Citations
1
Primary Topic
Forest Management and Policy
Type
article
Field-Weighted Citation Impact
0.28

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article

Drivers and Dynamics of Forest and Grassland Ecosystems in the Altai Mountains: A Framework for National Park Conservation

Faxiang Hu, Wen‐Chao Yang, Xiaofeng Luan, Wan-Li Ma et al.
1 citations
Land
Forest Management and Policy
0.28
article

Drivers and Dynamics of Forest and Grassland Ecosystems in the Altai Mountains: A Framework for National Park Conservation

Faxiang Hu, Wen‐Chao Yang, Xiaofeng Luan, Wan-Li Ma, Menghan Deng
article en
1 citations

Abstract

The Altai Mountains region, characterized by its unique biodiversity and significant ecological value, is increasingly under pressure from anthropogenic activities and climate change. This study investigates the spatial and temporal dynamics of forest and grassland ecosystems in the Altai Mountains National Park Candidate Area from 2000 to 2020, and proposes a comprehensive framework for the conservation and management of national parks. Through a detailed analysis of land cover changes, we observed significant forest expansion of 13.65% and grassland degradation of 11.69%. Rapid forest expansion occurred before 2010, followed by accelerated grassland degradation after that, with 2010 identified as the critical turning point. Our analysis highlights the role of key drivers, such as soil type, elevation, cropland expansion, and human activities, in shaping these ecosystems. Using Geodetector and propensity score matching methods, we evaluated the effectiveness of existing protected areas in mitigating forest and grassland loss. While protected areas effectively contributed to forest restoration, they were less successful in preventing grassland decline, underscoring the need for integrated management approaches. The findings from this study provide critical insights into ecosystem dynamics and conservation effectiveness, offering valuable guidance for the establishment of national-park-type protected areas and broader regional conservation efforts.

LandVol. 14(1)
Beijing Forestry University (CN)
National Key Research and Development Program of China
Life in Land
Openalex Percentile: Top 39%
Forest Management and Policy
0.28
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Drivers and Dynamics of Forest and Grassland Ecosystems in the Altai Mountains: A Framework for National Park Conservation — Faxiang Hu, Wen‐Chao Yang, et al. · Land (2024) | TGRS Research Map | TGRS