生态系统健康评价及其问题

讨论了生态系统健康的概念及内涵，指出了生态系统健康评价中存在的主要问题，最后对今后生态系统健康评价的研究方向作了展望。     

青海湖生态系统健康评价

生态系统健康是一个新概念。对湖泊生态系统来说，目前尚没有统一的评价指标和评价方法。利用Xu等(1999)提出的指标体系对青海湖1988—1989年的生态系统健康状况进行评价。结果表明：青海湖生态系统健康在秋季最好，其次为夏季和春季，冬季最差。该结果客观地反映了青海湖的实际情况。     

基于属性理论的长株潭城市群生态系统健康评价

城市生态系统是一种高度人工化的自然-社会-经济复合生态系统,其健康状况直接影响到城市的可持续发展。针对城市生态系统健康评价标准的不确定性问题,在构建评价指标体系的基础上,提出了基于属性理论的城市生态系统健康评价模型及评价方法。以长株潭城市群为研究区域,运用该模型和方法对其生态系统健康进行了综合评价。评价结果表明：长株潭城市群的生态系统现状属于一般健康类,其中自然生态子系统对区域整体健康状况有较大影响,评价结果与实际情况大体吻合。通过对各子系统层的健康度分析,识别了健康限制因素,并提出了相应的调控措施。采用属性理论方法开展城市生态系统健康评价,能较好地识别系统层综合健康状况和子系统层的健康状况,具有一定的实用价值,其评价结果为促进城市生态建设,有效实施生态系统健康管理提供了科学依据。     

基于RS和GIS的生态系统健康评价

生态系统健康评价可以认识区域生态系统健康状况、识别生态环境问题,为制定科学的生态保护对策提供依据,对提高可持续发展和环境管理具有重要的指导作用。文章由压力-状态-响应（P-S-R）概念模型建立了生态系统健康评价指标体系和评价模型,运用RS和GIS技术及统计学分析法,形成程序化、系统化的生态系统健康评价技术方法体系,并以高平市为案例,运用定量的方法对其生态系统健康进行综合评价及分级研究,通过对压力、状态、响应评价结果及健康综合评价结果的分析,结合高平市生态系统健康的自然条件状况与人类活动影响,探讨了影响区域健康的因素,为高平市资源的合理利用与保护提供科学依据。结果表明该技术对生态系统健康评价是切实可行的。     

农村生态系统健康的基本内涵及评价体系探索

生态系统健康是研究人类活动、社会经济组织、自然系统和人类健康的综合性学科,是人类社会可持续发展的保证,国内外对不同类型的生态系统健康进行了大量研究,指出生态系统健康是在时间上具有维持其组织结构、自我调节和对胁迫受损的恢复能力,实现生态系统的稳定性和可持续性.农村生态系统是一类自然一人工复合生态系统,在综合分析农业生态系统健康和城市生态系统健康概念的基础上,提出农村生态系统是指在不同区域范围的农村地域内,不同类型生态系统间的相互能量关系,以及农村人群和周围环境的相互影响与相互作用的总和.农村生态系统健康是指农村生态系统能够实现农村环境健康目标、生态系统活力目标、农业生产与乡镇企业发展目标,并具有一定的自我调节和对胁迫受损的恢复能力.通过分析已有生态系统健康评价所采用的指标体系,结合农村生态系统的特性,研究构建了由环境健康目标、生态系统活力目标和功能目标组成的农村生态系统健康评价的框架体系,以期明确农村生态系统健康的内涵,为开展评价研究建立初步基础.     

土地生态系统健康研究的主要内容及面临的问题

生态系统健康研究是资源环境可持续利用研究中的一个热点。在归纳土地生态系统具有尺度的宏观性、对象的地域性、空间的开放性和动态性、问题的复杂性等特征的基础上，提出了开展土地生态系统健康研究的内容应包括土地生态系统健康的机理、评价和管理等三个主要方面。结合我国的土地资源状况，指出我国开展土地生态系统健康研究面临着包括人口密度过大，土地资源压力大；我国地域辽阔，气候类型多样，社会经济区域发展不均衡，全国各地土地生态系统的区域分异性很强等主要问题。     

底栖动物在水生生态系统健康评价中的作用分析

从生态系统健康的概念入手,通过对生态系统健康评价方法的研究和分析,对底栖动物尤其是大型底柄无脊椎动物在生态系统健康评价中的作用进行了分析和总结.生物监测法和多指标评价法是水生态系统健康评价的主要手段,而利用指示物种、预测模型和底柄生物的完整性指数等多种方法可以对水生态系统健康进行快速和准确的评价.如何完善底栖动物在生态系统健康评价中的作用并综合运用其他评价技术,以及结合评价结果对受损水生态系统进行生态修复和重建将是这一领域未来研究的重点所在.     

海门市蛎岈山牡蛎礁海洋特别保护区生态系统健康评价

在分析海门市蛎岈山牡蛎礁海洋特别保护区海域生态系统现状及特点基础上,构建了包含环境、结构、稳定性3个方面24个指标的海洋特别保护区生态系统健康评价指标体系,并采用熵权综合指数模型和模糊综合评价模型对保护区的生态系统健康状况进行评价及对比分析。熵权综合指数法评价结果表明,保护区生态系统处于健康趋向亚健康的状态;熵权模糊综合模型评价结果表明,保护区生态系统处于健康状态。由于模糊综合评价模型能反映保护区各生态要素的健康状况,其评价结论更趋近于保护区客观现状,更适用于海洋保护区健康评价。     

太湖不同湖区生态系统健康评价方法研究

基于长期的监测资料，计算了表征湖泊生态系统健康的系统能（Ex）、系统能结构（Exs1）和生态缓冲容量（｜β｜）指标，以及湖泊营养状态指数（Its）。结果表明，太湖不同湖区生态系统健康状况差异明显，1998-2001年太湖典型湖区健康状况由好到差的相对顺序为：东太湖、贡湖和湖心区、梅梁湾、五里湖。在此基础上，提出了富营养化浅水湖泊生态系统健康指标阈值和湖泊系统能量健康指数（IEx）及其健康状况分级。经2002、2003年太湖不同湖区实测检验表明，所提出的湖泊系统能量健康指数及其健康状况分级适用于评价太湖不同湖区生态系统健康的区域分异状况。     

基于集对分析与三角模糊数的滨海湿地生态系统健康评价

滨海湿地是海洋和陆地相互作用形成的生态交错带,对自然环境变化和人类活动作用响应最为敏感,使其成为相对脆弱的生态系统。科学评价滨海湿地生态系统健康状况及其胁迫因子,对湿地生态系统恢复重建与可持续发展具有重要的现实意义。针对湿地生态系统评价问题的不确定性和模糊性特征,运用压力-状态-响应(PSR)模型构建滨海湿地生态系统健康评价指标体系,运用层次分析法确定了各指标的权重,根据集对分析原理定量描述评价样本与评价标准等级之间隶属关系的模糊性,利用分段三角模糊数表示集对差异度系数的连续变化过程和不确定性,进而建立了基于集对分析与三角模糊数耦合的滨海湿地生态系统健康评价模型,并将该模型应用于海兴湿地生态系统健康现状评价。结果表明:海兴湿地生态健康综合联系数为-0.380,相应的级别特征值为3.760,系统整体处于一般病态水平。其中压力系统、状态系统和响应系统的级别特征值分别为3.580、3.976和2.948,说明海兴湿地生态系统的自然状态受到了人类活动过度干扰,外界胁迫引起系统的结构失调和服务功能衰退。影响系统健康的主要因子为农药施用强度、水资源开发利用率、湿地面积退化率、水体富营养化、环保投资占GDP比重、湿地保护意识等。该模型计算过程简单直观,评价结果客观合理,在湿地生态系统健康评价中具有参考价值。     

Evaluation of ecosystem health for regional development in the southwestern Beijing, China

Ecosystem health assessment is one of the most important issues in regional ecological quality and safety studies. It also has a great significance to ecological conservation and regional development. This study focused on assessing the health status of forest, agriculture and urban ecosystems in the southwestern Beijing, China, including the Fangshan and Fengtai Districts. Based on field surveys and data collection, an assessment index system containing the vigor, organization and resilience factors was developed to measure the ecosystem health. Each index was scored from 1 to 5, representing five levels that contribute to the whole ecosystem health. The analytic hierarchy process (AHP) method was used to measure the weights of each index and three factors, and thus an overall score for a certain ecosystem was calculated. The results show that the forest ecosystem in the Fangshan District had higher health value than the Fengtai District, while the urban ecosystem had a slightly lower value in the Fangshan District than the Fengtai District. Both districts show lower resilience values in forest and urban ecosystems. Maintaining the ecosystem health will definitely benefit the long-term development of two districts. This study suggested that an approach for assessing the regional ecosystem health could be further developed to address spatial and synergy relationships between ecosystems and the three health factors.     

Urban ecosystem health assessment based on emergy and set pair analysis—A comparative study of typical Chinese cities

Regarding various energy and materials flowing in the urban ecosystem and the merit of emergy as an embodied energetic equivalent for integrated ecological economic evaluation, an evaluation framework of emergy-based urban ecosystem health indicators (UEHI_em) was established in view of five aspects including vigor, structure, resilience, ecosystem service function maintenance and environmental impact to depict the urban ecosystem health states. Further, set pair analysis (SPA) was employed to assess the urban ecosystem health level based on the UEHI_em, by which the approximate degree of real index set to the optimal one was defined and evaluated to describe the relative health state of the concerned urban ecosystems. Choosing twenty typical Chinese cities in 2005 as cases, we evaluated and compared their urban ecosystem health levels based on UEHI_em and SPA. The results showed that health levels of Xiamen, Qingdao, Shenzhen and Shanghai are pretty well, while those of Wuhan, Harbin, Yinchuan, Beijing and Urumchi are relatively weak. Moreover, the relative health levels were analyzed by SPA to discern the influences of the mentioned five aspects on the UEHI_em. It is concluded that emergy synthesis combined with SPA can serve as an effective relative-measure to compare different ecosystem health levels of urban ecosystems.     

Application of ecosystem health cost-effect analysis in eco-planning in Guangzhou City, China

Ecosystem health has been a focal point and research frontier of applied ecology in recent years, increasingly used in urban ecological studies. To quantify the effect of ecological improvement from eco-planning, an ecosystem health assessment method is used in eco-planning evaluation and decision support in the urban eco-planning research of Guangzhou City of China. Based on features of an urban ecosystem, five factors such as vigor, organizational structure, resilience, ability to maintain ecosystem service, and influence on people’s health were selected to develop the assessment indicator system. Then, to evaluate the validity of planning measures, a cost-effect analysis of the different scenarios on eco-planning was made, taking investment of the planned projects as the cost and ecosystem health state after implementing the scenarios as the effect. To establish priority of all the proposed planning schemes or countermeasures, variation of the ecosystem health state was evaluated when the investment of eco-environmental construction projects changes by ±10%, ±20% and ±50%, respectively. Thus, the order of importance of eco-environment construction projects to the urban ecosystem health state can be worked out, providing a reference for prioritizing the implementation of such urban eco-environmental projects. The study proved the trial value of an ecosystem health evaluation method in urban eco-planning research.     

辽河口湿地生态系统健康诊断与评价

综合考虑生态系统健康标准及河口湿地的生态特征,借鉴压力-状态-响应(pressure-state-response,PSR)模型,从压力、环境状态以及生物响应3方面构建辽河口湿地生态系统健康评价指标体系,并引入突变级数法,对1996年和2000年辽河口湿地生态系统健康状况进行了评价和分析。结果表明,1996年辽河口湿地生态系统健康度为0.979 1,2000年则降至0.961 8,即由健康状态转为亚健康状态,其主要原因为水资源不足和石油类污染加剧。应加强对辽河口湿地区域石油开采的管理,并合理分配利用水资源,保障湿地生态用水,促进辽河口湿地的生态系统健康。     

Emergy-based urban health evaluation and development pattern analysis

The objective of this study is to measure and evaluate the ecosystem health levels of 31 Chinese capital cities in 2004 through an emergy synthesis framework. A system of indicators was developed corresponding to the four factors of urban ecosystem health including efficiency, structure, impact and flux. Furthermore, combined with individual indices, an emergy-based urban ecosystem health index (EUEHI) was proposed to measure and evaluate the health levels among various typical cities in China, which offers an integrated evaluation tool in view of urban production, trade and consumption. The results showed that there are intrinsic differences among six clusters associated with driving mechanisms distinguishing the rankings of urban health levels. After lining the cities of similar health levels with cluster map, the spatial distribution of the urban health is found to be arch-shaped, increasing initially and then decreasing from coast to inner land. This kind of spatial hierarchy is per se compatible and consistent with the hierarchical theory of emergy synthesis. The results also revealed double restrictions of urban health between economy and environment. Moreover, the interaction analysis was used for mirroring the driving mechanism of urban ecosystem health. Three conclusions were arrived at. Firstly, environmental health is inversely related to the economic health in China, indicating that cities cannot achieve win–win between environment and economy in the current urban development mode. Secondly, based on economy-driven mode, four quadrants were divided in the city division map, wherein 43.33% of the concerned cities developed in high economy-restriction mode, which means low economic level is still an important limiting factor for the major cities of China. Finally, based on environment-driven mode, two sections were divided, of which weak environmental dominance mode expounds the special characteristics of urban environment with obvious fragility. 23.33% of the 30 cities were in the intermediate state, which means a few correspondingly unhealthy cities should develop concrete polices for the urban ecosystem restoration.