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Unraveling the influence of climate and land use change on ecological networks based on ecosystem services priority conservation areas

生态系统服务 环境资源管理 气候变化 生态系统 生态网络 土地利用 抗性(生态学) 生态学 景观连通性 地理 环境科学 土地利用、土地利用的变化和林业 情景分析 生物多样性 土地覆盖 生态系统健康 弹性(材料科学) 保护 持续性 心理弹性 中间性中心性 供应 可持续发展 计算机科学 景观生态学 社会经济发展 恢复生态学 业务 生态系统管理 环境规划 生态健康
作者
Yuejun Liu,Xianglin Ji,Shipeng Xu,Lei Li,Ying Pan,Jun Wu,Yanjie Zhang
出处
期刊:Global Ecology and Conservation [Elsevier BV]
卷期号:64: e03923-e03923 被引量:2
标识
DOI:10.1016/j.gecco.2025.e03923
摘要

Climate change and Land Use/Land Cover (LULC) changes have significantly impacted ecosystems. Ecological network construction aids in understanding ecosystem interactions, but current studies often overlook ecosystem service protection into network analysis. Identifying and integrating ecosystem service priority conservation areas (CPAs) into the ecological networks is crucial for bolstering ecosystem resilience and safeguarding human well-being. This study evaluates ecosystem services under Shared Socioeconomic Pathways (SSP119, SSP245, SSP585) and identifies priority conservation areas as ecological sources on the Tibetan Plateau. The Patch-generating Land Use Simulation (PLUS) model was employed to simulate land use changes under Economic Development, Ecological Protection, and Nature Development scenarios, incorporating resistance factors to build a comprehensive resistance surface. We constructed an ecological network using the least-cost path method and assessed key metrics including Average Betweenness Centrality, Average Closeness Centrality, and Average Degree. We also evaluated the robustness of the network. The study found PCAs concentrated in the southeastern, northern, and western edges of the Tibetan Plateau. Under SSP585 scenario, these areas expanded by 41.1 % compared to SSP119 and SSP245 scenarios, the network exhibited greater complexity and connectivity. However, over the long-term, the SSP585 scenarios poses a higher risk of network collapse, the network showed higher robustness, maintaining connectivity around 0.3 after random attacks and 0.15 after targeted attacks, while under SSP119 and SSP245 scenarios the networks were more vulnerable, with connectivity dropping below 0.1 under similar conditions. This study contributes to a deeper understanding of the complex interplay between climate change, human activities, and ecological network dynamics, offering valuable guidance for sustainable land management and conservation policies. • Integrated priority conservation areas (PCAs) into ecological networks under climate and land use scenarios. • SSP585 scenario expanded PCAs, enhancing short-term connectivity but raising long-term fragmentation risk. • Robustness analysis showed networks resist random failures but collapse under targeted attacks. • Ecological network grounded in ecosystem services provides insights for resilient conservation planning.
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