| 基于信息熵量化评价大熊猫国家公园生态系统管理成效 |
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| 引用本文： | 赵志国,栾晓峰,陈君帜,叶菁,李婧昕,张超,李苗苗,王贺崐元,杨立. 基于信息熵量化评价大熊猫国家公园生态系统管理成效[J]. 生态学报, 2019, 39(11): 3885-3894 |
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| 作者姓名： | 赵志国 栾晓峰 陈君帜 叶菁 李婧昕 张超 李苗苗 王贺崐元 杨立 |
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| 作者单位： | 国家林业和草原局调查规划设计院;北京林业大学自然保护区学院 |
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| 摘 要： | 生态系统管理绩效的量化评价是保护区域生态安全、合理利用自然资源、实现可持续发展的重要前提。选取大熊猫国家公园四川片区作为研究对象,从生态系统服务潜力、人为活动强度、旗舰种保护和生态管理实际情况出发,构建生态系统管理评估指标体系。指标体系包含16个因子。对指标体系构建的数据集,基于熵理论定量评价系统无序程度、发展方向。结果表明:(1)大熊猫国家公园生态系统总熵流值为-0.8309,系统整体健康;其中5个市县总熵流为正,生态系统无序性较大,为非健康状态。(2)生态系统管理的正熵流主要受第一产业影响;负熵流的产生主要来自旗舰种保护和区域保护绩效。在空间尺度上,不同区域间总熵流存在差异,宝兴县总熵流最高,达到0.0880;九寨沟县最低,为-0.1826。综合农村居民收入与总熵流评价结果,研究认为试点期内大熊猫国家公园管理可以考虑选取示范点,总结管理经验;在生态管理热点区域优先推广,如平武县、宝兴县和茂县。在管理过程中谨慎对待社区发展与生态保护的关系。
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| 关 键 词： | 生态服务流 熵 大熊猫国家公园 管理 |
| 收稿时间： | 2018-06-22 |
| 修稿时间： | 2019-01-30 |
Improving management of Giant Panda National Park by quantitative assessment of ecological management |
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| ZHAO Zhiguo,LUAN Xiaofeng,CHEN Junzhi,YE Jing,LI Jingxin,ZHANG Chao,LI Miaomiao,WANG Hekunyuan and YANG Li. Improving management of Giant Panda National Park by quantitative assessment of ecological management[J]. Acta Ecologica Sinica, 2019, 39(11): 3885-3894 |
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| Authors: | ZHAO Zhiguo LUAN Xiaofeng CHEN Junzhi YE Jing LI Jingxin ZHANG Chao LI Miaomiao WANG Hekunyuan YANG Li |
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| Affiliation: | Academy of Forest Inventory and Planning, State Forestry and Grassland Administration, Beijing 100714, China,School of Nature Conservation, Beijing Forestry University, Beijing 100083, China,Academy of Forest Inventory and Planning, State Forestry and Grassland Administration, Beijing 100714, China,Academy of Forest Inventory and Planning, State Forestry and Grassland Administration, Beijing 100714, China,School of Nature Conservation, Beijing Forestry University, Beijing 100083, China,School of Nature Conservation, Beijing Forestry University, Beijing 100083, China,School of Nature Conservation, Beijing Forestry University, Beijing 100083, China,School of Nature Conservation, Beijing Forestry University, Beijing 100083, China and School of Nature Conservation, Beijing Forestry University, Beijing 100083, China |
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| Abstract: | Quantitative evaluation of ecosystem management is a primary premise to protect regional ecological security, rationally exploit resources, and achieve sustainable development. In this study, we collected information on potential ecosystem service, human influence, conservation for flagship species, and ecological management. We developed an assessment indicator system for quantitative evaluation of ecosystem management in the Giant Panda National Park (Sichuan Area);Sixteen indicators were included. According to the entropy theory, the dataset created by indicators were selected to evaluate disorder or development tendency of the system quantitatively. The results showed the following. (1) Entropy flow of ecosystem management in the Giant Panda National Park was-0.8309, indicating that the degree of order of ecosystem is increasing and the health status is optimum. Entropy flow on five prefectures were positive; the ecosystem tended to be disordered and on the verge of degradation. (2) Negative entropy flow was from the primary industry (agriculture), whereas, the positive entropy was from flagship species conservation and effective environmental management. Entropy flow varied among different prefectures. The system received the maximum value in Baoxing Xian (0.0880) and the minimum value in Jiuzhaigou Xian (-0.1826). Based on rural residents'' income and entropy flow assessment, several actions should be carried out as soon as possible.Management experience from demonstration area should be the priority, and it should be applied at hotspot for management, including Pingwu Xian,Baoxing Xian, and Mao Xian.The tradeoff between regional development and conservation should be balanced for management. |
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| Keywords: | ecosystem services flow entropy Giant Panda National Park management |
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