基于生物多样性与生态系统服务功能的秦岭山系自然保护体系规划

发布时间：2018-05-30 00:47

本文选题：秦岭山系 + 生物多样性　；参考：《生态学报》2017年16期

【摘要】：生物多样性与生态系统服务是目前生态保护的两大主要目标,在保护区体系规划设计中兼顾两个保护目标有助于发挥自然保护区的综合效益。以生物多样性与生态系统服务功能都重要的秦岭山系为研究区域,在生物多样性、水源涵养和土壤保持重要性评估的基础上,通过空缺分析,提出了秦岭山系的保护区体系优化方案。研究结果表明,现有的自然保护区保护了33.5%的生物多样性极重要区,22.9%的水源涵养极重要区,但是只保护了7.4%的土壤保持极重要区;建议在秦岭主峰、秦岭西部和东南部分别建立自然保护区群和生态功能保护区,保护区面积占秦岭山系总面积的31.4%,使生物多样性、水源涵养、土壤保持的极重要区的保护比例达76.2%、70.5%和41.5%,生态保护效益得到提升。研究结果可以为秦岭山系生态保护政策的制定提供参考,同时对于其他地区自然保护体系规划、以及国家公园构建也具有重要的借鉴意义。
[Abstract]:Biodiversity and ecosystem services are the two main objectives of ecological protection at present. It is helpful to give full play to the comprehensive benefits of nature reserves in the planning and design of protected area system. Based on the assessment of the importance of biodiversity, water conservation and soil conservation, the Qinling Mountains, which are both important in biodiversity and ecosystem services, are studied through vacancy analysis. In this paper, the optimal scheme of the protected area system of Qinling Mountain system is put forward. The results show that the existing nature reserves protect 33.5% of the most important areas of biodiversity, or 22.9% of the most important areas of water conservation, but only 7.4% of the areas of soil conservation are extremely important. In the west and southeast of Qinling Mountains, the nature reserve group and the ecological function reserve were established respectively. The protected area accounts for 31.4 percent of the total area of the Qinling mountain system, so as to make biodiversity and water conservation. 70.5% and 41.5% of soil were protected in the most important area of soil conservation, and the ecological protection benefit was improved. The results of the study can provide a reference for the formulation of ecological protection policies in Qinling Mountains, and also have important reference significance for the planning of natural conservation system in other regions and the construction of national parks.
【作者单位】：环境保护部自然生态保护司;中国科学院生态环境研究中心城市与区域生态国家重点实验室;中国科学院大学;
【基金】：国家自然科学基金(41671534)
【分类号】：Q16

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