Ecosystem states: Creating a data-derived, ecosystem-scale ecological response model that is explicit in space and time

Increasing difficulties associated with balancing consumptive demands for water and achieving ecological benefits in aquatic ecosystems provide opportunities for new ecosystem-scale ecological response models to assist managers. Using an Australian estuary as a case study, we developed a novel approach to create a data-derived state-and-transition model. The model identifies suites of co-occurring birds, fish, benthic invertebrates and aquatic macrophytes (as ‘states’) and the changing physico-chemical conditions that are associated with each (‘transitions’). The approach first used cluster analysis to identify sets of co-occurring biota. Differences in the physico-chemical data associated with each state were identified using classification trees, with the biotic distinctness of the resultant statistical model tested using analysis of similarities. The predictive capacity of the model was tested using new cases. Two models were created using different time-steps (annual and quarterly) and then combined to capture both longer-term trends and more-recent declines in ecological condition. We identified eight ecosystem states that were differentiated by a mix of water-quantity and water-quality variables. Each ecosystem state represented a distinct biotic assemblage under well-defined physico-chemical conditions. Two ‘basins of attraction’ were identified, with four tidally-influenced states, and another four independent of tidal influence. Within each basin, states described a continuum of relative health, manifest through declining taxonomic diversity and abundances. The main threshold determining relative health was whether freshwater flows had occurred in the region during the previous 339 days. Canonical analyses of principal coordinates tested the predictive capacity of the model and demonstrated that the variance in the environmental data set was well captured (87%) with 52% of the variance in the biological data set also captured. The latter increased to >80% when long- and short-term biological data were analysed separately, indicating that the model described the available data for the Coorong well. This approach thus created a data-derived, multivariate model, where neither states nor transitions were determined a priori. The approach did not over-fit the data, was robust to patchy or missing data, the choice of initial clustering technique and random errors in the biological data set, and was well-received by local natural resource managers. However, the model did not capture causal relationships and requires additional testing, particularly during future episodes of ecological recovery. The approach shows significant promise for simplifying management definitions of ecological condition and, via scenario analyses, can be used to assist in manager decision-making of large, complex aquatic ecosystems in the future.     

Identifying 120 years of decline in ecosystem structure and maturity of Great South Bay, New York using the Ecopath modelling approach

Mass balanced models yield valuable information regarding ecological function and delivery of ecosystem services, but often rely on data collected well before many species were reduced to fractions of their original abundance. Lagoonal systems, such as Great South Bay (GSB), NY, sit on the interface of terrestrial and marine ecosystems and are prone to anthropogenic stressors but proximity to land also makes the presence of data regarding historic populations and structure more likely. To quantify over a century of ecosystem change, Ecopath models were developed for GSB at each of four time periods where commercial and scientific data exist: 1880s, 1930s, 1980s and 2000s. The results indicated that the GSB has experienced a decline in ecosystem maturity, loss of top keystone predators, a decline in connectivity to the ocean though the reduction of migratory species and increasing dominance of low trophic level organisms. These changes undermine the delivery of ecosystem services, increase conflicts over limited resources and suggest that present day restoration targets fail to recognize appropriate baselines. We discuss the role of stochastic events, which result in state changes that could be defined as regime shifts, and ecosystem connectivity to the long-term stability of lagoonal systems.     

Combined Effects of Levels of Protection and Environmental Variables at Different Spatial Resolutions on Fish Assemblages in a Marine Protected Area

Abstract: The links between species–environment relations and species’ responses to protection are unclear, but the objectives of marine protected areas (MPAs) are most likely to be achieved when those relations are known and inform MPA design. The components of a species’ habitat vary with the spatial resolution of the area considered. We characterized areas at two resolutions: 250 m² (transect) and approximately 30,000 m² (seascape). We considered three categories of environmental variables: substrate type, bottom complexity, and depth. We sought to determine at which resolution habitat characteristics were a better predictor of abundance and species composition of fishes and whether the relations with environmental variables at either resolution affected species’ responses to protection. Habitat features accounted for a larger proportion of spatial variation in species composition and abundances than differences in protection status. This spatial variation was explained best by habitat characteristics at the seascape level than at the transect level. Species’ responses to protected areas were specific to particular seascape characteristics, primarily depth, and bottom complexity. Our method may be useful for prioritizing marine areas for protection, designing MPAs, and monitoring their effectiveness. It identified areas that provided natural shelter, areas acting as buffer zones, and areas where fish species were most responsive to protection. The identification of such areas is necessary for cost‐effective establishment and monitoring of MPAs.     

Species-specific and context-dependant disruption of temporal population fluctuations resulting from hypereutrophication events

This study quantifies the disruption of zooplankton population fluctuations in relation to two magnitudes of fire retardant contamination events using artificial ponds as model systems. Population time series were analysed using redundancy analysis where time was modelled with a principal coordinate of neighborhood matrices approach that identified relevant scales of fluctuation frequencies. Analyses of temporal coherence provided insight whether population fluctuations correlated with system intrinsic or extrinsic forces. Responses to stress were species-specific and context-dependant. Contamination changed temporal structure in some species. These alterations were associated with an increased intrinsic control of dynamics. In some cases the magnitude of impact was unrelated to contamination severity. Some populations were less tolerant of pollution in the low relative to the high concentration treatment. Results suggest that population-level monitoring of degraded sites may be suboptimal because disparate population responses complicate the selection of specific sentinel organisms to monitor stress.     

面向未来的企业可持续发展必由之路:生态效益

介绍工业生态学中生态效益的基本概念、核心思想和企业向生态效益型发展的必要性和必然性 ,分析了推行生态效益管理的关键和难点 ,并提出我国企业推行生态效益的对策建议。     

基于声生态学的城市景观设计策略探讨

声景观研究以其新奇和意想不到为城市景观研究设计带来新的切入点和手法。简要介绍了声生态学中声景的概念和发展;讨论和分析城市景观规划中引入声景观的必要性和可能性;探讨在景观生态学指导下的景观、声景观策略。     

生态文明建设要点探索

生态文明是继工业文明之后更高层次的文明,而环境保护是生态文明建设的主要内容。在综合分析生态文明建设的目标、任务、本质、路径、关键和保障等理论问题的基础上,提出生态文明建设的要点:生态文明建设的目标是人与自然和谐,核心任务是生态环境保护,本质是发展方式的转变,关键是科技创新驱动,保障是制度建设。认为通过生态文明建设,可最终实现人类社会的可持续发展。     

国家生态文明建设试点示范区指标合理性探讨

环保部于2013年5月23日颁布的《国家生态文明建设试点示范区指标（试行）》（以下简称《指标（试行）》）已实施有9个月。到目前为止,全国已有6批生态文明建设试点地区参照《指标》要求确定生态文明建设目标,编制生态文明规划。然而,实际工作中发现指标体系中部分指标的合理性有待商榷。本文通过对问题指标进行分类探讨,将指标存在的问题分为四大类：指标定义亟待完善、指标标准设定偏高、指标数据获取性差和参考标准有待更新。根据不同类型指标问题的特点,分别对指标进行分析并提出合理的改进和解决方案,为环保部对《指标（试行）》的进一步完善和改进提供了理论依据和思路,对我国生态文明建设工作持续健康发展起到了促进作用。     

生态文明下的环境法制

生态文明建设的进程受到诸多因素的制约,如生态环境意识、环境立法、行政执法和司法缺陷、法律政策等,同时生态文明建设中面临诸多的难题,如公众参与、生态补偿、环境责任及环境纠纷等,应通过完善立法、执法及司法建设,以及完善公众参与机制、生态补偿机制、环境公益诉讼制度等保障机制来解决这些问题。本文首先通过比较分析生态文明与环境法制的关系,结合我国生态法制建设困境,提出了完善生态文明建设的一系列的环境法治保障措施,即从立法、执法、司法角度,从而实现科学发展观,构建和谐社会,最终实现环境—社会—经济协调发展的任务。     

Developing an eco-industrial park in Puducherry region,India ‒ a SWOT analysis

Over the past few years, the eco-industrial park (EIP) concept has been emerging as a significant driving force for sustainable industrialisation. Accumulating evidence indicates that the transition of existing industries into eco-industrial networking through industrial ecology (IE) principles would provide an excellent opportunity for facilitating such innovative industrialisation. A SWOT analysis was carried out to identify the potential and constraints for the successful implementation of an eco-industrial park in the ecologically fragile coastal zone of Puducherry. The results indicated significant potential for EIP development with few challenges. The lessons learnt can be used to provide broad guidelines for facilitating EIP development in the Puducherry region and similar scenarios found elsewhere across the world, especially in developing countries.