环长株潭城市生态系统健康评价

城市生态系统健康是区域可持续发展的基础.本文以环长株潭城市群作为研究对象,根据压力—状态—响应(PSR)模型,选取25个指标构建城市群城市生态系统健康评价指标体系,采用熵值法确定指标权重,以模糊综合评价法建立评价模型,对环长株潭城市生态系统健康进行评价.结果表明:总体来看,环长株潭城市生态系统健康水平处于"较健康"状态(0.236 2),处于一个良性发展阶段;城市群内部健康水平存在较大差异,不同地区的城市生态系统健康状况不同.长沙市和株洲市的隶属度为"健康",湘潭市和益阳市属于"较健康"状态,岳阳市和常德市属于"临界状态",衡阳市属于"不健康"状态,娄底市的隶属度为"病态".未来,环长株潭城市群要加强城市生态服务功能建设,缩小城市群内部差距,提升城市生态系统健康水平.     

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。     

河流健康综合评价指数法的改进及其在昌江的应用

目前普遍采用的河流健康综合评价指数法中水生生物指标相对简单,不能准确度量复杂河流生态系统的健康状态.通过增加蜉蝣目、襀翅目和鞘翅目相对丰富度以及科级生物指数2项指标,改进水生生物指标中的二级指标,并采用改进前后的河流健康综合评价指数法对鄱阳湖人湖支流——昌江进行评价对比.结果表明,昌江总体健康状况较好,各样点均处于健康或亚健康状态;从河流上游至下游,昌江干流及主要支流东河健康状况明显下降,得分最低的3个样点都位于昌江于流,而健康样点大都接近源头;改进后的河流健康综合评价指数法可更好地区分昌江不同样点的水体健康状态.     

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。     

丹江口水库生态系统健康综合评价

2007年7月～2008年5月按季度对丹江口水库4个库区(丹江库区、汉江库区、取水口和五青入库区)的水环境和浮游生物进行了调查,采用生态系统健康指数(EHI)法和营养状态指数(TSI)法对该水库的生态系统健康状态进行定量的综合评价.结果表明:2007年7月～2008年5月,丹江口水库整体处于中营养状态,健康状态中等,健康状态总趋势是丹江库区>取水口>汉江库区>五青入库区;各库区生态系统健康状态存在季节性差异,丹江库区、取水口两库区全年为中等,汉江库区在夏季为较差,其它季节中等,五青入库区在冬季最差,其它季节较差.此外,对两种评价方法进行了比较,表明丹江口水库属于响应型生态系统,生态系统健康指数(EHI)适用于丹江口水库生态系统健康的评价.     

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。     

海州湾生态系统健康诊断

根据开敞海湾浅海生态系统特征,构建了包含环境现状、环境风险、环境背景、系统结构功能和系统稳定性5类诊断指标以及24个诊断因子的浅海生态系统健康诊断指标体系,并采用层次分析法对海州湾浅海生态系统2009年12月和2010年11月的健康状况进行诊断.结果表明,2009年12月和2010年11月海州湾浅海生态系统的综合健康指数值分别为0.500～0.689和0.553～0.750,浅海生态系统处于亚健康～较健康状态,近岸海域基本处于亚健康状态,离岸海域基本处于较健康状态,近岸海域生态系统健康水平低于离岸海域,这与近岸海域开发活动干扰多以及环境压力大有关.     

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。     

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(Exst)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。     

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。     

利用耗散结构中的熵变计算探讨城镇生态系统的发展方向

判断城镇生态系统的发展方向通常用系统的产值或利润 ,这不能全面地表达城镇生态系统的的物质流、能量流、信息流、人口流以及货币流对系统的作用。文章从城镇生态系统的本质出发 ,利用耗散结构理论 ,探讨了城镇生态系统的熵变计算公式 ,并将它应用到大丰市和锡山市 ,所得结论与实际基本相符。因此 ,建议将熵变作为城镇生态系统的一个综合参数加以利用。     

农业生态系统循环功能的综合评价(Ⅱ):实例研究

运用描述系统循环过程中动力与阻力相互关系的数学模型，对河北省曲周县、邯郸市、马头镇、北京郊区窦店村、湖南桃源县观山村５个不同类型的农业生态系统的循环功能分别进行了分析与计算，发现模型中的系数Ｋ适于用来综合评价系统的循环功能。Ｋ值的大小取决于其他相关的指标，这些处于不同层次上的指标构成了一个简单实用的综合评价农业生态系统的指标体系。     

On the role of entropy in water quality modelling

The use of the entropy principle in phenomenological water quality models is not only necessary, but also of great advantage. A deterministic ecosystem model must obey the 2nd law of thermodynamics. Gibb's equation is a constraint additional to the balances of mass, energy and momentum. The entropy principle supports the unified treatment of physical, chemical and biological processes in water bodies, offers stability criteria and controls the further development of the aquatic ecosystems. Thermodynamic criteria also allow the determination of the bifurcation points of the model equations. Especially near these points the state and structure of the ecosystem can be strongly changed by fluctuations of the variables and parameters of the ecosystem.Results of the thermodynamic theory of selforganizing systems (Glansdorff and Prigogine, 1971; Nicolis and Prigogine, 1977) are of very great importance for water quality modelling. Furthermore, the entropy principle bridges the phenomenological, stochastic and cybernetic approaches to water quality modelling.While the paper deals with general aspects of the role of entropy in water quality modelling, the basic system of equations, taking the entropy principle into account, can be found in a previous paper (Mauersberger, 1978).     

On maturation and spawning in some penaeid prawns of the Arabian Gulf

A mathematical model is presented of the ecosystem in the upper layers of the marine pelagic zone. The model has been constructed on the basis of presumed connections between biotic and abiotic ecosystem parameters typical of the Black Sea. Details on total model relations as well as on model analysis and construction may be obtained after gaining more insight into the behaviour of models constructed for the upper pelagic ecosystem of different marine aquatoria. The model is characterized by a rather complex behaviour. Realization of the model on the electronic computer is made by employing the method of random trajectories. As a result, a qualitative picture of model behaviour under different conditions is revealed and statistical characteristics of the parameters are obtained.     

应用底栖动物为指示生物的松花江干流水生态预警研究

指示生物监测及水生态预警是利用水环境中指示物种的数量、群落结构指标和个体生理指标等描述水生态系统的健康状态,其相比于常规理化监测和预警更直接地反映水体的生态质量。本研究在松花江干流2012—2015年大型底栖无脊椎动物监测结果的基础上,结合各监测点生态质量管理目标,通过分析物种的种类、出现的频次、物种污染敏感性(耐污值),尝试提出了松花江干流监控断面以底栖动物为指示生物的水生态预警模式,研究思路和结果对流域水环境风险管理指标的拓展有积极作用。     

Ecological role of stomatopods (mantis shrimps) and potential impacts of trawling in a marine ecosystem of the southeast coast of India

Ecosystems are balanced by nature and each component in the system has a role in the sustenance of other components. A change in one component would invariably have an effect on others. Stomatopods (mantis shrimps) are common and ecologically important predatory crustaceans in tropical marine waters. The ecological role of mantis shrimps and potential impacts of trawling in a marine ecosystem were estimated using Ecopath with Ecosim (EwE) Version 5.0 software, by constructing a mass balanced Ecopath model of Parangipettai (Porto Novo) ecosystem. Based on fisheries information from the region, 17 ecological groups were defined including stomatopods. Both primary and secondary data on biomass, P/B, Q/B and diet composition were used as basic inputs. The mass balanced model gave a total system throughput of 14,756 t km⁻² year⁻¹. The gross efficiency of 0.000942 indicated higher contribution of lower food chain groups in the fishery though the mean trophic level was 3.08. The immature and developing stage of the ecosystem was indicated by the ratio of total primary production and total respiration (1.832) and the net system production (2643.30 t km⁻² year⁻¹). Key indices (flow to detritus, net efficiency and omnivory index), split mortality rates and mixed trophic impact of different ecological groups were obtained from the model. A flow diagram was constructed to illustrate the trophic interactions, which explained the biomass flows in the ecosystem with reference to stomatopods. Two temporal simulations were made, with 10 year durations in the mass balanced Ecopath model by using ecosim routine incorporated in EwE software. The effect of decrease in biomass of stomatopods in the ecosystem was well defined, in the first run with increase in stomatopod fishing mortality, and the group showed a high positive impact on benthopelagic fish biomass increase (129%). The simulation with increase in trawling efforts resulted in the biomass decline of different ecological groups as elasmobranchs to 1%, stomatopods to 2%, crabs and lobsters to 36%, cephalopods to 63%, mackerel to 78%, and shrimps to 89%. Present study warns stomatopod discards and further increase in trawling efforts in the region and it explained the need for ecosystem based fisheries management practices for the sustainability of marine fisheries.     

围填海的海洋环境影响国内外研究进展

围填海是通过人工修筑堤坝、填埋土石方等工程措施将天然海域空间改变成陆地以拓展社会经济发展空间的人类活动,它是当前我国海岸开发利用的主要形式。大规模围填海在产生巨大的社会经济效益的同时,也给海洋生态环境造成了深远的影响,受到了国内外学者的广泛关注。文章在系统收集了国内外围填海的海洋环境影响研究报道成果的基础上,分别从：①围填海对滨海地形地貌、湿地景观的影响研究;②围填海对近岸海域水动力环境的影响研究;③围填海对滨海湿地退化与生态功能的影响研究;④围填海对近岸海洋生态系统结构与功能的影响;⑤围填海对海洋渔业资源衰退的影响等5个方面深入分析了围填海的海洋环境影响国内外研究进展及其存在的主要问题。并剖析了加强围填海的海洋环境监测与评估,实施围填海的海洋生态环境修复与生态补偿等国际围填海研究新趋势。针对围填海的海洋环境影响国内外研究现状和发展趋势,提出加强对集中连片围填海区域的长期累积效应研究、加强围填海对海洋生态环境结构功能影响过程及机理研究、加强多学科交叉在围填海海洋环境影响方面的综合研究等相关建议。     

Matching biodiversity indicators to policy needs

At the global scale, biodiversity indicators are typically used to monitor general trends, but are rarely implemented with specific purpose or linked directly to decision making. Some indicators are better suited to predicting future change, others are more appropriate for evaluating past actions, but this is seldom made explicit. We developed a conceptual model for assigning biodiversity indicators to appropriate functions based on a common approach used in economics. Using the model, indicators can be classified as leading (indicators that change before the subject of interest, informing preventative actions), coincident (indicators that measure the subject of interest), or lagging (indicators that change after the subject of interest has changed and thus can be used to evaluate past actions). We classified indicators based on ecological theory on biodiversity response times and management objectives in 2 case studies: global species extinction and marine ecosystem collapse. For global species extinctions, indicators of abundance (e.g., the Living Planet Index or biodiversity intactness index) were most likely to respond first, as leading indicators that inform preventative action, while extinction indicators were expected to respond slowly, acting as lagging indicators flagging the need for evaluation. For marine ecosystem collapse, indicators of direct responses to fishing were expected to be leading, while those measuring ecosystem collapse could be lagging. Classification defines an active role for indicators within the policy cycle, creates an explicit link to preventative decision-making, and supports preventative action.     

Dynamic model of Lake Chozas (León, NW Spain)—Decrease in eco-exergy from clear to turbid phase due to introduction of exotic crayfish

We developed a dynamic model of the phosphorus cycle in Lake Chozas, a small shallow water body in León (NW Spain). The calibrated model simulated seasonal dynamics of phosphorus concentrations in major components of the lake's ecological network before and after 1997, the year when an invasive allochthonous crustacean, the Louisiana red swamp crayfish (Procambarus clarkii), was introduced into the lake. The shift from clean to turbid phase, due to grazing by crayfish on submerged vegetation, caused a gradual decrease in eco-exergy, reflecting an increase in entropy, related to breakdown of ecosystem internal equilibria. This case study verifies the hypothesis of Marchi et al. (2010) that, after an initial relatively stable state, the allochthonous species may cause an increase in entropy indicating perturbation of the ecosystem.     

Reconstructing historical marine ecosystems using food web models: Northern British Columbia from Pre-European contact to present

Mass-balance trophic models (Ecopath with Ecosim) are developed for the marine ecosystem of northern British Columbia (BC) for the historical periods 1750, 1900, 1950 and 2000 AD. Time series data are compiled for catch, fishing mortality and biomass using fisheries statistics and literature values. Using the assembled dataset, dynamics of the 1950-based simulations are fitted to agree with observations over 50 years to 2000 through the manipulation of trophic flow parameters and the addition of climate factors: a primary production anomaly and herring recruitment anomaly. The predicted climate anomalies reflect documented environmental series, most strongly sea surface temperature and the Pacific Decadal Oscillation index. The best-fit predator–prey interaction parameters indicate mixed trophic control of the ecosystem. Trophic flow parameters from the fitted 1950 model are transferred to the other historical periods assuming stationarity in density-dependent foraging tactics. The 1900 model exhibited an improved fit to data using this approach, which suggests that the pattern of trophic control may have remained constant over much of the last century. The 1950 model is driven forward 50 years using climate and historical fishing drivers. The resulting ecosystem is compared to the 2000 model, and the dynamics of these models are compared in a predictive forecast to 2050. The models suggest similar restoration trajectories after a hypothetical release from fishing.