Structural complexity analysis for industrial ecosystems: A case study on LuBei industrial ecosystem in China

Natural ecosystems and human societies have evolved in many diverse ways and they are both complex systems. Our learning from the structure complexity of natural ecosystems can help us to redesign the structure of industrial system. Thus the materials and energy efficiency of industrial systems can be improved well to achieve the sustainable goals. In this paper, Structural Analysis Method for Industrial Ecosystems (SAMIE) is introduced and applied in the analysis of the structure complexity and efficiency of the industrial ecosystems. The industrial ecosystem is analyzed based on the industrial species’ classification, which is analogous to the natural ecosystem. A set of indicators are developed to evaluate the industrial system, in order to explore the problems of structural complexity, identify the limiting factors of industrial ecosystem evolution, and strengthen the capacity of adaptation and self-organization. A case study on LuBei industrial ecosystem in China has been selected to apply the SAMIE approach.     

The Structure, Function, and Evolution of a Regional Industrial Ecosystem

A framework has been developed to assess the structure, function, and evolution of a regional industrial ecosystem that integrates insights from industrial ecology and economic geography dimensions with complex systems theory. The framework highlights the multilayered landscape of natural ecosystem functions, economic transactions, policy contexts, and social interactions in which interfirm collaboration evolves. Its application to a single case study on the island of Puerto Rico revealed changes in the system's institutional context, its resource flows, and the composition of its industrial community. It illustrated that external forces and interactions among actors at multiple levels can cause permanent changes—but not necessarily system collapse—as policy choices and interfirm cooperation can be used to organize resources in ways that retain system functionality.     

Industrial symbiosis in the forestry sector: A case study in southern Brazil

Industrial symbiosis (IS) is an important concept in the field of industrial ecology that has disseminated worldwide as a practice to decrease the ecological impact of industrial processes through the exchange of by‐products and waste between units in a system. The forestry industry is the main economic activity in the region of Lages in southern Brazil. IS relationships have expanded with the use of waste material from wood processing and strengthened cooperation between companies in different sectors. The aims of this article were to: a) quantify the level of IS in the system, b) identify the benefits of IS for participants, and c) explain why the network further developed IS to the formation of an industrial ecosystem. A questionnaire was administered during visits to 24 forestry companies in order to analyze their products and processes, commercial relations, positive impacts, and local insertion. The industrial symbiosis indicator (ISI) was determined using waste stream data from the system to represent the level of symbiosis among the companies in this region. The results show that the companies participate in a symbiotic network, mainly involving the exchange of chips, bark, sawdust and shavings. In most cases, these exchanges occur between nearby companies, constituting an extensive industrial ecosystem.     

转型期城市生态学前沿研究进展

城市是一类以人类活动为中心听社会－经济－自然复合生态系统。城市人类活动对局地、区域和全球环境的胁迫效应,自然生态系统的响应机制,城市时、空、量、构、序的耦合规律、动力学机制和控制论方法是当前国际社会和学术界关注的热点。介绍了转型期城市人类生态影响研究的一些主要国际科学计划,如ＳＣＯＰＥ及ＩＨＤＰ等,综述了城市生态学研究三大前沿领域的国际研究动向和案例,即人居生态学、产业生态学和城镇生命支持系统生态     

生态产业园的复合生态效率及评价指标体系

生态产业园的建设在国内取得了丰富的成果,已成为我国循环经济建设和可持续发展的重要载体之一。与国外不同,我国的生态产业园最终将演化为生态城市,其功能也从工业生产功能发展为融生产、生活和生态为一体的复合功能。生态效率是评价一个研究对象投入产出效益的量化工具,将生态效率的理念融入生态产业园,从园区作为区域可持续发展的载体、作为生态城市演化的一个特定阶段的视角,提出了复合生态效率的概念,构建了园区复合生态效率评价指标体系,并以郑州经济技术开发区为例,说明了复合生态效率指标在产业园中的应用。     

顺德产业生态系统能值动态分析

虽然当前的产业生态学研究多集中于生产线、企业和产业生态园尺度,但城市无疑是产业系统基本组合单元,城市区域尺度的产业生态学研究是产业生态学研究尺度上推的必经阶段。我国产业生态系统及城市化进程的空间分布不均,以顺德等为代表的东南沿海市(县)产业生态系统的发展历程对中西部地区有拉动和借鉴的双重作用。以能值理论方法为基础,结合环境经济学和区域经济学方法,从系统开放性、本土性、闭路循环性和经济性4个方面,投入和产出端2个角度,对顺德市产业生态系统改革开放22a的发展动态进行分析研究。结果发现,22a系统能值总用量增加15.65倍,能值密度增加16.31倍,人均能值使用强度增加9.70倍,外部不可更新资源用量增加16.32倍。能值废弃率在20世纪80年代不断上升而在90年代迅速下降,但环境负载率则表现为无规律的波动状态。20世纪90年代,系统能值出口率上升至1978年的4.10倍,但能值交换率小于1。结果表明,改革开放22a,顺德产业生态系统自组织能力明显提高,土地资源利用率不断提高,但系统对周边负熵资源,尤其是不可更新资源的依赖性不断提高,人力资源生产力水平提高相对较慢。20世纪90年代污染物处理产业发展迅速,但在系统资料消耗端的绿色化方面则无显明进展。系统对不可更新资源的利用效率不高,产出商品在市场交换中处于表面繁荣背景下的生态经济不利地位。系统已到了向知识密集型发展道路转变的拐点域。能值理论方法与环境经济学和区域经济学分析的整合可以满足产业生态系统分析评价要求,针对产业生态系统特点,进行多尺度、多方面联立评价,实现系统发展现状、动态与动因的整合分析,对产业生态系统优化点的发现与优化方向的确定有直接的意义。     

产业生态系统资源代谢分析方法

产业生态系统是由企业群、资源及环境组成的社会-经济-环境复合生态系统。资源代谢是其功能运行的重要保障。资源代谢在时间和空间尺度上的耗竭及阻滞是造成严重生态环境问题的主要原因。根据生态学原理,运用物质流分析手段解析了产业生态系统的物质流、能流及资金流结构,构建了产业生态系统资源代谢分析模型,提出了资源输入-使用-输出-循环共生四方面的资源代谢分析指标体系和基于模糊综合分析的资源代谢问题树分析方法。在此基础上提出了基于循环共生网络结构模型的生态管理模式。以期为产业资源的生态管理提供方法支撑。     

社会-经济-自然复合生态系统生态位评价模型——以四川省为例

在深入分析区域资源、环境、社会、经济综合系统基础上,建立了四川省2001—2010年社会-经济-自然复合生态系统生态位评价指标体系,复合生态系统综合生态位包括资源、环境、经济和社会4个子系统生态位。将耦合投影寻踪模型应用于复合生态系统生态位评价,其中,采用并行模拟退火算法对评价模型参数进行优化。研究结果表明:2001年—2010年四川省复合生态位呈现先降后升的趋势,复合生态位评价值从2001年3.1325下降到2005年的2.8499,从2005年开始,复合生态位逐渐增加,到2010年增加到3.3304。表明环境重视程度的提高,环保意识的加强,促进了复合生态位的提高,区域自然生态和环境得以改善。最佳投影方向各分量的大小反映了各评价指标对生态位评价等级的影响程度,值越大则对应的评价指标对生态位评价等级的影响程度越大。区域生态位评价等级指标的影响程度最大的10项中有4项是环境生态位子系统指标,表明环境生态位子系统对综合生态位影响最大。发展过程中经济生态位子系统和社会生态位子系统指标值相关系数为0.9957,表明两子系统基本上是保持同步发展。而经济生态位和环境生态位子系统指标值相关系数为-0.9346,呈现明显的负相关关系。资源子系统呈现上升趋势。模拟退火优化的投影寻踪耦合模型应用于复合生态位评价,具有实用性和可行性,为区域生态管理科学决策提供重要依据。     

产业生态学的新思路

分析扩展了产业生态学的概念。新扩展的产业生态学概念在产业生态学原有闭路循环原则的基础上 ,扩展出了本土性、经济性和开放性等基本原则。结合芬兰吉瓦斯克拉产业系统进行了实证分析 ,展望了完善的产业生态系统的基本特征。     

Analyzing the Environmental Benefits of Industrial Symbiosis

Studies of industrial symbiosis (IS) focus on the physical flows of materials and energy in local industrial systems. In an ideal IS, waste material and energy are shared or exchanged among the actors of the system, thereby reducing the consumption of virgin material and energy inputs, and likewise the generation of waste and emissions. In this study, the environmental impacts of an industrial ecosystem centered around a pulp and paper mill and operating as an IS are analyzed using life cycle assessment (LCA). The system is compared with two hypothetical reference systems in which the actors would operate in isolation. Moreover, the system is analyzed further in order to identify possibilities for additional links between the actors. The results show that of the total life cycle impacts of the system, upstream processes made the greatest overall contribution to the results. Comparison with stand‐alone production shows that in the case studied, the industrial symbiosis results in modest improvements, 5% to 20% in most impact categories, in the overall environmental impacts of the system. Most of the benefits occur upstream through heat and electricity production for the local town. All in all it is recommended that when the environmental impacts of industrial symbiosis are assessed, the impacts occurring upstream should also be studied, not only the impacts within the ecosystem.     

Valuing ecosystem services to explore scenarios for adaptive spatial planning

As the ecosystem services concept increasingly gains importance, it needs translation into practical applications. Recent efforts of EU member states to map ES are opening new opportunities to include ES in spatial planning and adaptive land management. For this, spatial planners and policy makers need practical tools that integrate a variety of social and biophysical information in an accessible way. We argue that monetary valuation of ES can contribute to this challenge. A methodological framework was developed to explore adaptive management of bioproductive space. The first stage in the methodology is a spatially explicit evaluation of various ecosystem services for different land uses. In a second stage, bio-physical and socio-economic drivers or shocks are introduced that can influence the value society attributes to specific ecosystem services. The third stage of the methodology takes policy priorities into account. In a final stage, the output of the approach is synthesised by ranking the analysis results for different scenarios and policy priority settings. This methodology allows spatial planners to explore and evaluate policy decisions against trade-offs between various land use alternatives, while taking ecosystem services into account. To demonstrate its use, the methodology is applied to a small-scale case study that combines extensive livestock production with the development of natural values. The application to the case demonstrates that the optimal strategy from a societal perspective, can be highly context-dependent. Besides the potential for supporting policy makers to think about the broader implications of land use changes for community wellbeing, the methodology provides useful feedback for adaptive farm and landscape management. We underline both the potential and possible caveats in using this approach for land use evaluation.     

Monitoring environmental change in an ecosystem

The monitoring and analysis of the processes taking place in an ecosystem is a key issue for a sustainable human activity. A system of populations, as the biotic component of a complex ecosystem is usually affected by the variation of its abiotic environment. Even in nearly natural ecosystems an abiotic effect like climatic implications of global warming may cause important changes in the dynamics of the population system. In ecosystems involving field cultivation or any industrial activity; the abiotic parameter in question may be the concentration of a substance, changing, e.g. as a result of pollution, application of a pesticide, or a fertilizer, etc. In many cases the observation of the densities of each population may be technically complicated or expensive, therefore the question arises whether from the observation of the densities of certain (indicator) populations, the whole state process of the population system can be uniquely recovered. The paper is aimed at a methodological development of the state monitoring, under the conditions of a changing environment. It is shown, how the technique of mathematical systems theory can be applied not only for the approximate calculation of the state process on the basis of the observed data, even under the effect of an exogene abiotic change with known dynamics; but in certain cases, also for the estimation of the unknown biological effect of the change of an abiotic parameter. The proposed methodology is applied to simple illustrative examples concerning a three-species predator-prey system.     

基于生态资产的生态系统风险分析模型及应用实例

生态学将在生态系统的管理和生命支持系统的可持续发展上发挥核心作用.对生态系统的定量研究是生态系统管理研究的核心和前沿.研究借助于金融资产风险管理方法,结合生态资产价值化和生态系统风险研究建立了基于生态资产的生态系统风险分析方法,给出了对区域(流域)生态系统总体风险进行度量的分析模型和计算公式,并以民勤绿洲生态系统为例进行了实证研究.实证研究结果表明:未来3a内民勤绿洲生态资产价值损失在95%置信水平下不会超过1.92亿元.所建立的生态资产风险分析模型对区域生态系统管理具有一定的意义.     

城市生态系统承载力理论与评价方法

城市作为一个复杂的人工生态系统,其承载力的意义与生态学中的种群承载力意义有了很大差别。定义了城市生态系统承载力,强调其对维系城市生态系统健康的能动性特征,并在比较生物免疫力与城市生态系统承载力的相似性的基础上,构建了“城市生态系统承载力免疫学模型”作为其理论模型。在理论模型基础上设计其计量模型,分为天然承载力和获得性承载力两部分。并通过承载力与压力的相对变化趋势表达城市生态系统维系其健康水平的能力。以广州市为例,计算了广州市城市生态系统承载力与压力,获得二者的动态关系。结果表明,自1992年以来,广州市基本上处于一种经济发展与城市生态系统支持力同步发展的良性状态,所采取的发展模式具有可持续性     

生态系统服务与景观格局集成研究综述

生态系统服务是综合科学和政策应用的有效工具,可用于应对人类干扰下的景观和生态系统服务的快速退化等复杂生态环境问题。综述生态系统服务与景观格局集成的学科发展、基础理论和模型开发的进展与存在的问题,建立可用的集成建模框架,并提出知识集成的概念框架:1)在要素层,"政策-决策—景观—生态系统服务—社会经济系统"的跨学科知识反馈环是集成理论基础; 2)在模型层,结构化、多层次的集成模拟模型是核心方法; 3)在数据层,多源数据集成是模拟模型的数据基础。集成生态系统服务与景观格局为区域生态环境治理实践提供了科学参考,能更好地应对生态系统服务科学与应用的挑战。     

An ecological-economic approach to the valuation of ecosystem services to support biodiversity policy. A case study for nitrogen retention by Mediterranean rivers and lakes

Several international initiatives have highlighted the need to prove the relevance of ecosystem services in monetary terms in order to make a comprehensive and compelling case for conservation of biodiversity. The different approaches and frameworks used so far have shown that there is no economic or monetary estimate of ecosystems or ecosystem services with absolute validity: any valuation exercise is always context-related and the theoretical rationale behind the applied valuation technique does matter. This study presents an approach for assessing ecosystem services in monetary terms to support conservation policies at the regional and continental scale. First we briefly review the foundation of environmental and ecological economics, second we explore the differences between economic models and the application of valuation techniques, third we try to pick the difference between the mainstream economic valuation approach and the translation of biophysical models’ outcomes in monetary terms. Then we present and discuss a methodology suitable for associating a monetary cost to ecosystem services when the purpose addresses conservation policies. In order to provide a contribution, we show a practical case study on water purification in the northern Mediterranean region.     

旅游生态系统能值研究进展

能值分析是以能值为基准,通过能值转换率,有效测度与评价生态系统及经济系统中不同类型的物质流、能量流、货币流及其相互关系的方法。旅游生态系统是特殊类型的人地关系地域系统,是以旅游活动为中心的"自然、经济、社会、旅游"复合系统,利用能值方法进行旅游能值研究可以为旅游可持续发展提供科学建议。通过对国内外相关研究重要文献的梳理,从旅游能值研究尺度与类型角度,分析了国内外相关研究进展,并通过与农业、工业系统的能值研究对比分析,目前研究在理论推进、要素选择、指标构建、方法集成等4个方面,旅游生态系统能值研究存在特殊性,并从理论、方法、内容等3个角度,提出了今后旅游能值研究的方向,以期推动旅游系统能值研究的深入。     

河道生态系统特征及其自净化能力研究现状与发展

河道生态系统包括河道水体和河岸带两大部分,具有净化水体、降低污染物浓度的功能.研究河道生态系统的自净化能力对河道生态系统的健康评价及水环境管理具有重要的意义.目前该领域的研究主要侧重于两个方面:一方面是运用水质模型的方法模拟评价河道水体的自净化能力,另一方面则是研究河岸植被缓冲带对净化水体的作用.系统总结了目前研究的特点与不足,指出了今后应该重视的研究领域,主要包括:(1)应加强研究陆地生态系统空间异质性对河道自净化能力的影响研究;(2)需要系统解剖河道剖面形态结构与空间布局对河道水质自净化能力的影响;(3)重视面向外部复杂环境的参数获取方法的研究;(4)综合河岸生态系统与河道水体生态系统,系统研究非点源污染在陆-水迁移和水体运移中河道生态系统自净化能力的时空变化特征,从而为开展河道生态系统健康评价,河道生态系统管理提供科学的依据.     

Exploitation scenarios in industrial system LCA

Purpose

This paper considers the variabilities that exist in the exploitation of a complex industrial system. Our scenario-based LCA model ensures the reliability of results in situations where the system life cycle is very uncertain, where there is substantial lack of data, and/or where time and resources available are limited. It is also an effective tool to generate exploitation recommendations for clients.

Methods

Existing quantitative uncertainty methods in LCA require a huge amount of accurate data. These data are rarely available in simplified and upstream LCA for complex industrial systems. A scenario-based approach is the best compromise between acceptable quality of results and resources required. However, such methods have not yet been proposed to improve the environmental knowledge of the system in the case of exploitation scenarios. The method proposed here considers a limited number of scenarios (three or four) that are defined using the Stanford Research Institute matrix. Using results from past projects, relevant parts of the system are listed, and expert knowledge and parameters are associated with these parts and quantified. A classical LCA process then provides the results for the different scenarios.

Results and discussion

The method was applied to an Alstom Grid AC/DC conversion substation for the primary aluminum industry. A previous study had limited scope, as the life cycle was poorly understood. Relevant parts were, thus, clearly identified as follows: spare parts program, transport failures, preventive and corrective maintenance, updates and revampings, lifetime modulation, and end-of-life. Four scenarios were considered as follows: best case, worst case, baseline (expected future), and a highly different alternative. Results show the pertinence of considering several exploitation scenarios when the life cycle is not predictable, as the environmental impacts may vary widely from one case to another. A sensitivity analysis also shows that some relevant parts such as updates and revampings will need to be carefully considered in futures studies.

Conclusions

The consideration of three exploitation scenarios (best case, baseline, and worst case) appears to be extremely pertinent when considering simplified LCA of industrial systems with high uncertainties and limited time and resources. This model is also very useful to generate good practice and recommendations towards clients, thus initiating a dialog centered on eco-design and continuous improvement.     

Throughflow centrality is a global indicator of the functional importance of species in ecosystems

To better understand and manage complex systems like ecosystems it is critical to know the relative contribution of the system components to the system function. Ecologists and social scientists have described a diversity of ways that individuals can be important; This paper makes two key contributions to this research area. First, it shows that throughflow (T_j), the total energy or matter entering or exiting a system component, is a global indicator of the relative contribution of the component to the whole system activity. It is global because it includes the direct and indirect exchanges among community members. Further, throughflow is a special case of Hubbell status or centrality as defined in social science. This recognition effectively joins the concepts, enabling ecologists to use and build on the broader centrality research in network science. Second, I characterize the distribution of throughflow in 45 empirically-based trophic ecosystem models. Consistent with theoretical expectations, this analysis shows that a small fraction of the system components are responsible for the majority of the system activity. In 73% of the ecosystem models, 20% or less of the nodes generate 80% or more of the total system throughflow. Four or fewer nodes are required to account for 50% of the total system activity and are thus defined as community dominants. 121 of the 130 dominant nodes in the 45 ecosystem models could be classified as primary producers, dead organic matter, or bacteria. Thus, throughflow centrality indicates the rank power of the ecosystems components and shows the concentration of power in the primary production and decomposition cycle. Although these results are specific to ecosystems, these techniques build on flow analysis based on economic input–output analysis. Therefore these results should be useful for ecosystem ecology, industrial ecology, the study of urban metabolism, as well as other domains using input–output analysis.