What is a healthy ecosystem?

Rapid deterioration of the world's major ecosystems has intensified the need for effective environmental monitoring and the development of operational indicators of ecosystem health. Ecosystem health represents a desired endpoint of environmental management, but it requires adaptive, ongoing definition and assessment. We propose that a healthy ecosystem is one that is sustainable – that is, it has the ability to maintain its structure (organization) and function (vigor) over time in the face of external stress (resilience). Various methods to quantify these three ecosystem attributes (vigor, organization, and resilience) are discussed. These attributes are then folded into a comprehensive assessment of ecosystem health. A network analysis based ecosystem health assessment is developed and tested using trophic exchange networks representing several different aquatic ecosystems. Results indicate the potential of such an ecosystem health assessment for evaluating the relative health of similar ecosystems, and quantifying the effects of natural or anthropogenic stress on the health of a particular ecosystem over time.     

海峡西岸经济区生态系统健康评价

基于活力、组织结构、恢复力、生态功能、人类健康等区域生态系统健康标准,综合考虑人为压力、响应措施等因素,构建了海峡西岸经济区(海西区)生态系统健康评价指标体系;针对区域生态系统健康的自然特性与人工特性,采用均方差法和层次分析法,确定了各指标权重;运用模糊综合评价法,建立了海西区生态系统健康评价模型.结果表明： 2008年,海西区生态系统健康状态优越,人为压力较轻,区域生态系统健康状况总体较好,但具有显著的空间差异;受固定资产投资、教育经费支出等响应指标的制约,部分地市生态系统健康状况劣于其健康状态.与1992年相比,2000和2008年海西区生态系统健康状况相对较优,驱动要素以经济活力、组织结构、人类健康、人口压力和投资调整等为主;但受建设用地扩张及其引起的自然景观减少、人类干扰增强等制约,2008年海西区生态系统健康状况劣于2000年.     

基于能值分析的合肥城市生态系统健康动态评价

随着城市化和城市环境问题的日趋突出,城市生态系统健康评价成为近年来生态学领域研究的热点.本文运用能值分析方法,采用活力、组织结构、恢复力和服务功能维持4个要素,构建了评价城市生态系统健康的能值指标--城市健康能值改良指标,并用于合肥市生态系统的健康评价,然后将评价结果与天津、芜湖、上海、宁波、福州等6座国内城市进行比较...     

Reorganization of a large marine ecosystem due to atmospheric and anthropogenic pressure: a discontinuous regime shift in the Central Baltic Sea

Marine ecosystems such as the Baltic Sea are currently under strong atmospheric and anthropogenic pressure. Besides natural and human-induced changes in climate, major anthropogenic drivers such as overfishing and anthropogenic eutrophication are significantly affecting ecosystem structure and function. Recently, studies demonstrated the existence of alternative stable states in various terrestrial and aquatic ecosystems. These so-called ecosystem regime shifts have been explained mainly as a result of multiple causes, e.g. climatic regime shifts, overexploitation or a combination of both. The occurrence of ecosystem regime shifts has important management implications, as they can cause significant losses of ecological and economic resources. Because of hysteresis in ecosystem responses, restoring regimes considered as favourable may require drastic and expensive management actions. Also the Baltic Sea, the largest brackish water body in the world ocean, and its ecosystems are strongly affected by atmospheric and anthropogenic drivers. Here, we present results of an analysis of the state and development of the Central Baltic Sea ecosystem integrating hydroclimatic, nutrient, phyto- and zooplankton as well as fisheries data. Our analyses of 52 biotic and abiotic variables using multivariate statistics demonstrated a major reorganization of the ecosystem and identified two stable states between 1974 and 2005, separated by a transition period in 1988–1993. We show the change in Baltic ecosystem structure to have the characteristics of a discontinuous regime shift, initiated by climate-induced changes in the abiotic environment and stabilized by fisheries-induced feedback loops in the food web. Our results indicate the importance of maintaining the resilience of an ecosystem to atmospherically induced environmental change by reducing the anthropogenic impact.     

Remote sensing-based assessment of ecosystem health by optimizing vigor-organization-resilience model: A case study in Fuzhou City,China

Although remote sensing technology has been used to evaluate regional ecosystem health for a long time, it is still necessary to find a suitable index system to better evaluate ecosystem health. This study aims to improve the ecosystem health measurement ability of remote sensing technology. This research was carried out in Fuzhou under the traditional Vigor-Organization-Resilience (VOR) framework by optimizing and improving the construction method of sub-indexes. Sub-indexes were constructed using spectral index analysis, landscape theoretical ecology model and spatial measurement. Three remote sensing datasets were used (1996, 2008 and 2021) to carry out remote sensing diagnosis of regional ecosystem health in the Fuzhou administrative region. The main research findings and conclusions were as follows. A new comprehensive vigor index (CVI) was developed by the principal component analysis (PCA) based on the four indicators: fractional vegetation cover (FVC), global vegetation moisture index (GVMI), vegetation temperature condition index (VTCI), normalized differential build-up and bare soil index (NDBSI). A new organizational index was constructed based on the landscape index. Four types of indexes, namely landscape heterogeneity (LH), landscape connectivity (LC), the shape characteristics of forest patches (CS) and the connectivity of forest patches (CC) were used as the main factors for calculating the organizational index. A resilience index calculation framework was proposed based on the habitat quality model. The temporal and spatial characteristics of ecosystem health were evaluated and analyzed. The regional ecosystem health value of the whole region reduced gradually, with average values of 0.3521 (1996), 0.3445 (2008) and 0.3345 (2021) respectively. The average reduction rate was 0.0007 per year (1996–2021). The proposed remote sensing diagnosis method provides a complete framework for solving the problems of measuring the dynamic evolution process and characteristics of regional ecosystem health.     

区域生态系统健康评价——研究方法与进展

生态系统健康评价是当前宏观生态学与生态系统管理研究的热点问题之一,区域尺度的生态系统健康评价则是生态系统健康评价研究的一个重要发展方向。在探讨生态系统健康时空尺度特征的基础上,明确界定了区域生态系统健康及其评价等相关概念,结合目前区域尺度生态系统健康评价的相关研究进展,从评价的区域类型、目标单元、模型方法、指标选取及其阈值、权重设定等方面探讨了区域生态系统健康评价的基本原理与方法,并展望了进一步研究的重点方向,即评价结果的多尺度综合与尺度转换、景观生态学理论与方法的应用、3S技术的综合应用等理论与技术问题。     

The effect of fishing on hysteresis in Caribbean coral reefs

Coral resilience is important for withstanding ecological disturbances as well as anthropogenic changes to the environment. However, the last several decades have demonstrated a decline in resilience that has often resulted in phase shifts to a degraded coral-depleted state with high levels of algal abundance. A major defining issue in current research is to identify when and how it is possible to reverse these phase shifts allowing for the ecosystem to escape coral depletion and maintain coral-based ecosystem services. We extend an analytic model to focus on the effects of over-harvesting of herbivorous reef fish in the Caribbean by explicitly including grazer dynamics which introduces feedbacks between habitat and grazer abundance posing constraints on management options excluded in previous studies. This allows us to develop ecosystem-based management recommendations for two distinct scenarios of coral reef recovery: The first follows significant habitat damage in response to a large disturbance and the second maintains reef structure but has suffered from events such as coral bleaching. We identify critical fishing effort levels to allow for coral recovery and demonstrate that regions exhibiting severe damage to reef structure have little resilience implying that fishing reductions should be coupled with other restoration methods. Regions that are coral-depleted but maintain reef structure allow for recovery given sufficiently small levels of fishing mortality. However, we demonstrate the difference in recovery time in response to varying levels of control efforts on fishing.     

Evaluation for regional ecosystem health: methodology and research progress

The evaluation for ecosystem health is one of the hotspots in the fields of macro-ecology and ecosystem management. Conducting analysis at the regional scale is an important direction for evaluating ecosystem health. Changing the spatial scale from the local to the regional level leads to great differences in targets and methodologies for ecosystem health evaluation and creates a new direction for regional ecosystem health research. Compared with the ecosystem health at the local scale, which refers to a single ecosystem type, the regional ecosystem health focuses on the health conditions and spatial patterns of different ecosystem types. However, there has been little attention paid to this very research up to now. Based on the progress on ecosystem health studies at the regional scale, the study reported in this article aims to discuss the implications of the conception of regional ecosystem health and to put forward a methodology for evaluating the regional ecosystem health. The main results include: (1) there is a significant scaling effect on the ecosystem health analysis, and the regional level is the key scale used to focus on the correlation between spatially neighboring ecosystems in terms of ecosystem health; (2) regional ecosystem health can be defined through 4 aspects, i.e., vigor, organization, resilience, and ecosystem service functions; (3) the basic evaluation objects of the regional ecosystem health is spatial entity, which is the matrix of different ecosystem types; (4) indicator system method is the only approach to evaluate regional ecosystem health; (5) the absolute thresholds of the evaluation indicators for the regional ecosystem health do not exist; the aim of the evaluation is to discuss the temporal dynamic changes and spatial differences of health conditions rather than to ascertain whether a region is healthy or not in view of ecological sustainability; and (6) the integration of evaluation results at multispatial scales, the application of this methodology in the landscape ecology, and the utilization of geographic information systems (GIS), remote sensing (RS), and Global Positioning Systems (GPS) technologies are the main directions for further research.     

Response diversity determines the resilience of ecosystems to environmental change

A growing body of evidence highlights the importance of biodiversity for ecosystem stability and the maintenance of optimal ecosystem functionality. Conservation measures are thus essential to safeguard the ecosystem services that biodiversity provides and human society needs. Current anthropogenic threats may lead to detrimental (and perhaps irreversible) ecosystem degradation, providing strong motivation to evaluate the response of ecological communities to various anthropogenic pressures. In particular, ecosystem functions that sustain key ecosystem services should be identified and prioritized for conservation action. Traditional diversity measures (e.g. ‘species richness’) may not adequately capture the aspects of biodiversity most relevant to ecosystem stability and functionality, but several new concepts may be more appropriate. These include ‘response diversity’, describing the variation of responses to environmental change among species of a particular community. Response diversity may also be a key determinant of ecosystem resilience in the face of anthropogenic pressures and environmental uncertainty. However, current understanding of response diversity is poor, and we see an urgent need to disentangle the conceptual strands that pervade studies of the relationship between biodiversity and ecosystem functioning. Our review clarifies the links between response diversity and the maintenance of ecosystem functionality by focusing on the insurance hypothesis of biodiversity and the concept of functional redundancy. We provide a conceptual model to describe how loss of response diversity may cause ecosystem degradation through decreased ecosystem resilience. We explicitly explain how response diversity contributes to functional compensation and to spatio‐temporal complementarity among species, leading to long‐term maintenance of ecosystem multifunctionality. Recent quantitative studies suggest that traditional diversity measures may often be uncoupled from measures (such as response diversity) that may be more effective proxies for ecosystem stability and resilience. Certain conclusions and recommendations of earlier studies using these traditional measures as indicators of ecosystem resilience thus may be suspect. We believe that functional ecology perspectives incorporating the effects and responses of diversity are essential for development of management strategies to safeguard (and restore) optimal ecosystem functionality (especially multifunctionality). Our review highlights these issues and we envision our work generating debate around the relationship between biodiversity and ecosystem functionality, and leading to improved conservation priorities and biodiversity management practices that maximize ecosystem resilience in the face of uncertain environmental change.     

Maximum entropy model: Estimating the relative suitability of cetacean habitat in the northern Savu Sea,Indonesia

An understanding of cetacean distribution is necessary to gain insights into crucial ecological processes for species conservation management. However, cetacean habitat preference and distribution in the northern Savu Sea, Indonesia, are still poorly understood. We use maximum entropy modeling with five environmental predictors to describe habitat preference and distribution of seven cetacean species in the northern Savu Sea. Our study confirms that static predictors are the most important variables in explaining habitat preferences of seven cetacean species in the northern Savu Sea. Seasonally, each cetacean species has a different environmental preference. Globicephala macrorhynchus prefers the open nearshore areas adjacent to deep waters. Stenella attenuata is associated with nearshore habitats and higher productivity areas. Stenella longirostris prefers nearshore habitat during coastal upwelling events. Tursiops truncatus prefers nearshore sheltered habitat. Grampus griseus habitats are highly related to depth and steep gradients around the isobaths of 200–1,000 m. Feresa attenuata are associated with deep waters and cooler sea temperature. Pseudorca crassidens prefers protective bays with productive waters. This study provides important information for reviewing marine spatial plans of the northern Savu Sea, specifically on managing species fisheries interaction, optimizing surveillance, and regulating marine traffic.     

Temporal and Spatial Variability of Zoobenthic Communities in Archipelago Waters of the Northern Baltic Sea-Consequences of Eutrophication?

A large-scale spatial (52 sampling stations in two areas; one previously affected by numerous sources of enrichment, and one pristine area used as a standard reference for coastal monitoring) and temporal (1972-1989) analysis of hydrography and benthic macrofauna in the archipelago waters of Åland, northern Baltic Sea, revealed significant changes of the ecosystem. The nutrient levels exceeded the criteria for eutrophicated waters at all stations, and the benthic macrofauna showed significant alterations in all parameters analyzed. In the area previously (1972-73) disturbed, reduced complexity in terms of diversity and evenness (i.e. functional responses) were recorded, whereas the changes in the previously undisturbed area are classified as structural. The main conclusions are that (a) no truly “natural” coastal reference areas can be found in the northern Baltic, and (b) the importance of the local effluents will add to the large-scale effects of eutrophication.     

Application of a Method of Multi-Substrate Testing of the State of Marine Surface Waters

The state of waters in Peter the Great Bay, Sea of Japan, and Nha Trang Bay, South China Sea, has been assessed according to the following microbiological parameters at the sites that differ in their degrees of anthropogenic impact: spectra of substrate consumption determined by the method of multi-substrate testing (MST) and the abundance of some indicator bacteria. The results of mathematical processing of the spectra of substrate consumption by microorganisms in the studied waters showed the main characteristics of secure well-functioning water ecosystems and systems under the influence of external factors. The cleanest water sites were characterized by the maximum values of the ecosystem health index and the minimum values of the number of conditionally pathogenic bacteria. Consequently, the data obtained through determination of the spectra of substrate consumption by marine microflora reflect the actual ecological and epidemiological situation in the water area and can be used in monitoring of marine waters.     

Ecological Risk Assessment of China's Freshwater Ecosystems Applying the Relative Risk Model: Toward an Ecosystem-Based Water Management in China

The relative risk model (RRM) was applied to evaluate the ecological risk characterization of the freshwater ecosystems in China, from both overall and region-specific levels. Ten large-scale river basins (further broken into 15 risk regions) in China were chosen as the study objects; 10 sources, two habitats, and seven endpoints were identified as risk components. The results reveal the status of ecosystem conditions, key ecological risk issues, and the spatial heterogeneity of the freshwater ecosystems in China. The policy implications for the ecosystem-based water management contained in the results are discussed. The results obtained in this article provide a deeper understanding of the ecological risk characterization of the freshwater ecosystems in China, and aid in promoting the applications of the RRM as the tool for ecosystem-based water management.     

基于遥感技术的森林健康研究综述

遥感技术可以有效完成复杂时空尺度海量信息的收集处理,其与森林健康研究的交叉、融合大大提高了复杂时空尺度上森林健康研究的表达能力.目前,森林健康遥感研究正处于各学科交叉、融合、调整,由静态向动态、单一向复杂、零散向系统转变的关键发展时期,但缺乏对森林健康问题的全面考量、逻辑安排和系统的顶层设计.在把握森林健康活力、组织结构和恢复力核心理念的基础上,从森林资源调查、森林生态功能评估、森林健康风险控制和森林植被参数提取四个方面构建和丰富基于遥感技术森林健康研究体系,对国内外森林健康遥感研究进行综述.通过对以上研究内容的总结分析,明确基于遥感技术的森林健康研究各领域的研究进展,及其在理论、技术和应用方面的不足.分析认为:(1)未来应加强森林生态和遥感技术重大基础理论研究,以明确森林结构、过程、功能与遥感数据之间的耦合关系;(2)发展完善新型遥感技术、遥感数据解译算法与软件工具,提高遥感数据的精确度、利用率和利用效率;(3)提升森林健康遥感研究成果的科技转化水平,推进快速分析评价与辅助决策功能研究,指导相关森林健康经营活动和科学研究的开展,以及林业政策的制定.     

景观空间异质性对生态系统服务形成与供给的影响

景观空间异质性与生态系统服务的关系极为密切,适当调整景观空间异质性有助于生态系统服务的持续形成与稳定供给。研究景观空间异质性和生态系统服务形成与供给之间的相互影响作用及响应机制具有重要的理论与现实意义,是保护生物多样性、管理生态系统服务与优化景观空间配置的基础。现有研究大多在不同尺度上探讨了景观格局与生态过程或生态系统服务间的相互影响关系,而缺乏景观格局-生态过程-生态系统服务三者间有效联结等方面的研究。景观空间异质性是怎样直接或间接地作用于生态系统服务形成与供给的,目前还没有一个较为明确的解释。因此,通过分析国内外文献,回顾了景观格局或景观空间异质性与生态系统服务之间关系的研究进展、研究内容和研究方法;从景观组成、景观构型的变化入手,讨论了景观空间异质性对生态系统服务形成与供给的影响及其强度,并认为景观组成异质性变化能够直接影响生态系统服务,而景观构型异质性变化会通过改变生态过程而间接影响生态系统服务;阐述了景观空间异质性在影响生态系统服务形成与供给的同时,也使生态系统服务在空间上产生了异质性分布,并从自然因素和人为因素两个方面对其进行解释;强调了尺度问题在景观空间异质性与生态系统服务研究中的重要性;最后,明确了对生态系统服务形成与供给的景观空间异质性影响研究不仅有助于生态系统服务的维持与调节,也能更深层次地揭示其中的生态学意义。     

基于土地利用空间格局的区域生态系统健康评价——以舟山岛为例

土地利用空间格局是影响区域生态系统健康状态的重要因素。构建适用于舟山岛生态系统健康诊断的"活力-组织结构-恢复力-生态系统服务功能"评价指标体系,其活力以植被相对密度指数表征、组织结构以蔓延度等4个景观格局指数表征。选择镇、乡或街道等行政区作为评价单元,以遥感数据和土地利用调查数据为基础,采用G IS和RS技术,提取舟山岛17个乡镇1970-2005年间5个时期的土地利用空间格局和指标信息,采用综合参数评价模型对研究区生态系统健康进行时空动态评价。研究结果表明:(1)35 a来舟山岛生态系统健康整体状况呈下降趋势,相对较好的区域面积下降了18%,相对一般的下降了8%,而相对较差的上升了26%;(2)城市化、滩涂围垦与沿海工业的发展是舟山岛生态系统健康状态下降的主要原因。     

Perspectives for ecosystem management based on ecosystem resilience and ecological thresholds against multiple and stochastic disturbances

Ecosystem resilience is the inherent ability to absorb various disturbances and reorganize while undergoing state changes to maintain critical functions. When ecosystem resilience is sufficiently degraded by disturbances, ecosystem is exposed at high risk of shifting from a desirable state to an undesirable state. Ecological thresholds represent the points where even small changes in environmental conditions associated with disturbances lead to switch between ecosystem states. There is a growing body of empirical evidence for such state transitions caused by anthropogenic disturbances in a variety of ecosystems. However, fewer studies addressed the interaction of anthropogenic and natural disturbances that often force an ecosystem to cross a threshold which an anthropogenic disturbance or a natural disturbance alone would not have achieved. This fact highlights how little is known about ecosystem dynamics under uncertainties around multiple and stochastic disturbances. Here, we present two perspectives for providing a predictive scientific basis to the management and conservation of ecosystems against multiple and stochastic disturbances. The first is management of predictable anthropogenic disturbances to maintain a sufficient level of biodiversity for ensuring ecosystem resilience (i.e., resilience-based management). Several biological diversity elements appear to confer ecosystem resilience, such as functional redundancy, response diversity, a dominant species, a foundation species, or a keystone species. The greatest research challenge is to identify key elements of biodiversity conferring ecosystem resilience for each context and to examine how we can manage and conserve them. The second is the identification of ecological thresholds along existing or experimental disturbance gradients. This will facilitate the development of indicators of proximity to thresholds as well as the understanding of threshold mechanisms. The implementation of forewarning indicators will be critical particularly when resilience-based management fails. The ability to detect an ecological threshold along disturbance gradients should therefore be essential to establish a backstop for preventing the threshold from being crossed. These perspectives can take us beyond simply invoking the precautionary principle of conserving biodiversity to a predictive science that informs practical solutions to cope with uncertainties and ecological surprises in a changing world.     

Ecological Network Indicators of Ecosystem Status and Change in the Baltic Sea

Several marine ecosystems under anthropogenic pressure have experienced shifts from one ecological state to another. In the central Baltic Sea, the regime shift of the 1980s has been associated with food-web reorganization and redirection of energy flow pathways. These long-term dynamics from 1974 to 2006 have been simulated here using a food-web model forced by climate and fishing. Ecological network analysis was performed to calculate indices of ecosystem change. The model replicated the regime shift. The analyses of indicators suggested that the system’s resilience was higher prior to 1988 and lower thereafter. The ecosystem topology also changed from a web-like structure to a linearized food-web.     

中国东海海岸带地区生态系统健康评估及其尺度依赖性

维持生态系统健康是实现社会经济可持续发展的关键性工作之一。本文基于邻域变异度和人为干扰修正后的活力-组织-弹性-服务模型,从5 km至地级市设置8个评估尺度单元,定量化的评估了我国东海海岸地区（包括上海、嘉兴、宁波、温州、台州、宁德、福州、莆田、泉州、厦门和漳州共11个城市）1990—2015年的生态系统健康状况,并分析了其时序变化特征和空间分异规律,探究了生态系统健康的尺度依赖性效应,得到以下结论：1）研究时段内,研究区生态系统健康水平以2000年为节点先下降后上升,但整体呈下降趋势。自2000年起生态系统健康值分布更加离散,呈现健康的生态系统更加健康,劣化的生态系统不断劣化的分化趋势。2）生态系统健康在空间分布上具有较高的异质性特征。沿海地区、宁波以北地区的生态系统健康值较低;远离海洋部分的山地丘陵的生态系统健康值较高。小尺度下上海市中心生态健康最差,地级市尺度下嘉兴市生态健康状况最差。3）生态系统健康评估工作具有一定的空间尺度依赖性。大尺度生态系统健康评估结果趋于平均化,可用于刻画变化趋势的空间分布格局。小尺度评估结果能够更好的解释生态系统健康程度的聚类分异细节。因而,在生态系统健康评估中不存在最佳的研究尺度,多尺度的设置有助于全面解析生态系统健康的时空分异特征。     

Freshwater ecosystem structure–function relationships: from theory to application

1. In this issue we aimed to answer the questions: (i) under what circumstances are functional variables better than structural ones for assessing ecosystem health? and (ii) are there good indicators of change in ecological functioning along perturbation gradients?
2. Of the numerous functional indicators tested in this issue, several show a response to anthropogenic stress and could be included in assessments of ecosystem health and integrity in running waters.
3. In three of eight studies, function showed a stronger response to anthropogenic stress than structure, whereas one study showed a response in structure and not function, and four studies showed responses in both structure and function. Thus structure alone could not detect all types of impairment and functional aspects should also be included and further developed for assessing running-water ecosystem health and integrity. Functional variables may be especially useful in situations where there is a stronger response among organisms not usually included in stream assessment (e.g. fungi and bacteria) than the commonly used invertebrate, macrophytes and fish indicators.
4. Leading research questions related to the use of functional indicators in running waters include: (i) how large is natural and operator-induced variation for functional indicators? (ii) how small of an effect size (delta) can be detected using structural versus functional indicators? and (iii) how do we efficiently improve theories as well as predictive ability for functional measures to assess the effects of anthropogenic stressors?
5. To advance the use of functional indicators in applied running-water studies, we need to supplement the approach of using large-scale datasets and correlation with ecosystem manipulations.