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未来多情景下的云南生态优先区识别与生态系统服务演化评估

Identification of Ecologically Prioritized Areas and Evaluation of Ecosystem Service Evolution in the Future Multiple Scenarios in Yunnan

  • 摘要: 以云南省为例,构建产水量、土壤保持、生境质量与碳储量4类生态系统服务指标,结合蚁群优化算法(ACO)识别2021年高生态价值潜在保护区,并耦合PLUS模型模拟2035年自然发展、生态优先、耕地保护与城市扩张4类政策导向下的土地利用格局及生态系统服务演变情况。结果表明:识别的保护区与现有保护区的重叠率达41.8%,在滇南与滇东南地区识别度较高。在纳入潜在保护区作为限制发展边界后,生态优先情景下碳储量提升最高,达4.7 × 109 t,生境质量均值最高为0.53,土壤保持总量达2.8 × 1010 t,较自然发展情景分别提高2.0 × 107 t、0.01、3.0 × 107 t;耕地保护情景中产水量最高,为7.5 × 1010 m3

     

    Abstract: Taking Yunnan Province as a case study, this study constructed four ecosystem service indicators, namely water yield, soil conservation, habitat quality, and carbon storage. An ant colony optimization (ACO) algorithm was employed to identify ecologically valuable potential protected areas in 2021. The PLUS model was further integrated to simulate land-use patterns and ecosystem service dynamics under four policy-oriented scenarios in 2035, including natural development, ecological priority, cultivated land protection, and urban expansion. The results showed that the identified potential protected areas had an overlap rate of 41.8% with existing protected areas and were mainly concentrated in southern and southeastern Yunnan. After incorporating these areas as development constraints, the ecological priority scenario exhibited the best overall performance in ecosystem services. Specifically, carbon storage reached 4.7 × 109 t, the highest mean habitat quality was 0.53, and soil conservation reached 2.8 × 1010 t, representing increases of 2.0 × 107 t, 0.01, and 3.0 × 107 t, respectively, compared with the natural development scenario. In contrast, the cultivated land protection scenario achieved the highest water yield, reaching 7.5 × 1010 m3.

     

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