区域生态系统健康动态评价——以毛集生态实验区为例
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中国科学院生态环境研究中心,中国科学院生态环境研究中心,中国科学院生态环境研究中心,淮南市焦岗湖水产旅游开发公司,淮南市毛集区科技局

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安徽省科技攻关项目(1301042120)


A dynamic evaluation of regional ecosystem health using a multiple index system:a case study of Maoji Biosphere Reserve
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Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences,,Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences,,

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    摘要:

    区域生态系统健康状况对区域可持续发展具有重要意义。基于“系统和谐”理念,构建区域生态系统健康评价体系,对毛集生态试验区生态系统及其4个子系统健康水平和演进趋势进行量化分析。结果表明:5年尺度上社会系统得分受人口健康水平及民众幸福感知强度制约而增幅不大;经济系统得分提高迅速,增幅达到149.5%,但负外部效应明显;自然系统健康水平先降低再增加,主要受湖泊生物多样性下降影响;风险系统得分先降低再增加,自然-经济-社会耦合系统发展失衡是导致风险水平激增的主要原因。区域生态系统健康各年评价结果均为亚健康隶属,正向隶属先增大后减小,环境负荷增大是造成区域生态系统弹性减弱,敏感性增强,发展活力降低的主要原因。

    Abstract:

    The health of regional ecosystem is the key element for sustainable socio-economic development and the base for friendly environment. With rapid urbanization, intensification of agriculture, and industrial production, the influence of human activities on regional ecosystems is increasingly apparent. The anthropogenic disturbances of regional ecosystems cause a series of problems:resource destruction, environmental pollution, ecological deterioration, soil and water losses, and frequent disasters. The evaluation of regional ecosystem health has been the hotspot of the present research in ecology. Several indicators have been employed to measure the changes in ecosystem functions, but most of the studies are focusing only on environmental pollutants and economical conditionals, neglecting the nonlinear process involving the comprehensive natural and socio-economic systems at different scales. Based on the theoretical foundation of system science, landscape ecology, and management science, we built a dynamic evaluation system, comprising one object layer, four decision layers, and 16 criterion layers. The key indicators involving the natural, social, and economic data were employed to assess the fitness level of the ecosystem and other four subsystems (social system, environmental system, economical system, and risk system) quantitatively. In the case study, the ecosystem health of the Maoji Biosphere Reserve was evaluated by using the proposed method. Results carried out on a 5-year scale indicated that the health condition of the social system increases but at a modest rate and it is limited by the population health level and the happiness perception intensity. The health condition of economic system soared to 149.5% in just 5 years, but with a significantly negative effect. Two key factors in this subsystem, the comprehensive economic development index (with a weight of 0.0496) and the potential economic development index (with a weight of 0.0454), experienced a 92.4% and 5439.5% expansion, respectively. The health condition of the nature fluctuated 15% in a peak-to-trough pattern, and it was inversely correlated with the risk system. The biodiversity decreased, resulting in the less resilient nature subsystem. Shaking of the comprehensive socio-economic and natural system led to the surge of the risk index in 2011.The health condition of the regional ecosystem belonged to class Ⅲ (ordinary level) each year; positive membership degree first increased and then decreased. These results showed that the study area progressed greatly toward achieving a harmonious society and vigorous economy in the past 5 years. Nevertheless, the stress effect of strong human disturbance on regional ecosystem enhanced the system's sensitivity and landscape fragmentation mainly by the pressure from environmental contamination. The management of the Maoji Biosphere Reserve will focus on the strategies in cultivating the natural endowment of ecology, improving the resistance of the social system, and optimizing the economic structure. Proposed model yields satisfactory results in evaluation of fitness conditions of the regional ecosystem in the study area. This approach plots a time spectrum of regional system change systemically, integrally, and insistently, and it can be applied to assess other similar ecosystems.

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杨阳,蔡怡敏,白艳莹,陈卫平,杨秀超.区域生态系统健康动态评价——以毛集生态实验区为例.生态学报,2016,36(14):4279~4287

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