Mapping indicator models: From intuitive problem structuring to quantified decision-making in sustainable forest management

Most commonly, sustainability indicator sets presented as lists do not take into account interactions among indicators in a systematic manner. Vice versa, existing environmental indicator systems do not provide a formalized approach for problem structuring and quantitative decision support. In this paper, techniques for considering indicator relationships are highlighted and a coupled approach between a qualitative and a quantitative method is analysed. Cognitive mapping (CM) is used for structuring indicators and three different causal maps are derived based on established sustainability concepts: (a) criteria and indicators (C&I hierarchy), (b) indicator network, and (c) Driving Force-Pressure-State-Impact-Response (DPSIR) system. These maps are transferred to the Analytic Network Process (ANP) to allow their application in multi-criteria decision analysis (MCDA).In an application example, Pan-European indicators for sustainable forest management (SFM) are utilized in an ANP-based assessment. The effects of the model structure on the overall evaluation result are demonstrated by means of three reporting periods on Austrian forestry.In a comparative analysis of CM and ANP it is tested whether their measures of indicator significance do correspond. Both centrality in CM and single limited priorities in ANP have been reported to identify key indicators that play an important role in networks. We found out that the correspondence between CM and ANP is the stronger the more rigidly cause-effect relationships are interpreted, which is the case for the DPSIR system of SFM indicators.It is demonstrated that using indicator sets without consideration of the indicator interactions will cause shortcomings for evaluation and assessment procedures in SFM. Given strict and consistent definition of causal indicator relationships, a coupled use of CM and ANP is recommendable for both enhancing the process of problem structuring as well as supporting preference-based evaluation of decision alternatives.     

Vulnerability assessment of wetland landscape ecosystem services using driver-pressure-state-impact-response (DPSIR) model

Wetlands exist in complex ecological conditions that are changeable in time and space in terms of function and structural diversity. In recent decades, wetlands have been exposed to a wide range of threats. Assessment of these threats is essential to develop an understanding of the state of a wetland ecosystem and to develop a suitable management strategy. This paper discusses wetland vulnerability in terms of analysis of human and environmental systems from application of the driver-pressure-state-impact-response (DPSIR) framework. This assessment presented a systematic methodology for assessment of wetland vulnerability in a social-ecological approach applying broad-scale ecosystem services and vulnerability functions. The method combined the hydro-geomorphic approach with estimations of vulnerability indicators and DPSIR analysis. The aim of this paper was to assess vulnerability of wetland ecosystem services and to characterize the threat indicators according to importance, severity, and probability of occurrence. Quantitative and qualitative methods were applied to characterize values for these three indicators. The Multi Criteria Decision Making (MCDM) method was used to prioritize threats and impacts of the wetland on the basis of experts’ opinions. The proposed methodology was applied to the Choghakhor international wetland landscape in south-western Iran. Vulnerability assessment revealed that water requirement of the lowland and the water transfer system were the most important factors threatening the wetland. Agricultural activities, settlements and urban areas, drought, tourism, population growth, and mining activities in the upland were the next most important priorities, in that order. Hydrological balance was determined as the most vulnerable function and was considered as the most important function in the Choghakhor wetland. The DPSIR model was used to determine a management strategy to reduce vulnerability of ecosystem services in response to drivers, pressures, states and impacts indicated by modelling.     

Patterns and drivers for wetland connections in the Prairie Pothole Region,United States

Ecosystem function in rivers, lakes and coastal waters depends on the functioning of upstream aquatic ecosystems, necessitating an improved understanding of watershed-scale interactions including variable surface-water flows between wetlands and streams. As surface water in the Prairie Pothole Region expands in wet years, surface-water connections occur between many depressional wetlands and streams. Minimal research has explored the spatial patterns and drivers for the abundance of these connections, despite their potential to inform resource management and regulatory programs including the U.S. Clean Water Act. In this study, wetlands were identified that did not intersect the stream network, but were shown with Landsat images (1990–2011) to become merged with the stream network as surface water expanded. Wetlands were found to spill into or consolidate with other wetlands within both small (2–10 wetlands) and large (>100 wetlands) wetland clusters, eventually intersecting a stream channel, most often via a riparian wetland. These surface-water connections occurred over a wide range of wetland distances from streams (averaging 90–1400 m in different ecoregions). Differences in the spatial abundance of wetlands that show a variable surface-water connection to a stream were best explained by smaller wetland-to-wetland distances, greater wetland abundance, and maximum surface-water extent. This analysis demonstrated that wetland arrangement and surface water expansion are important mechanisms for depressional wetlands to connect to streams and provides a first step to understanding the frequency and abundance of these surface-water connections across the Prairie Pothole Region.     

基于选择实验的三江平原湿地生态系统服务功能价值评价及偏好异质性研究

维持与保护生态系统服务功能是实现可持续发展的基础,定量评价湿地生态系统服务功能的经济价值已成为当前生态学领域研究的前沿课题。以三江平原湿地为研究对象,应用选择实验法,选取湿地面积、生物多样性、水源涵养和自然景观等4项湿地属性,运用随机参数Logit模型(RPL)对其进行货币化评价,并结合潜在分类模型(LCM)证实并解释公众对湿地生态系统服务功能的偏好异质性。研究结果显示:湿地生态系统服务功能的价值依次为水源涵养湿地面积生物多样性自然景观。对于维持当前各项湿地生态系统服务功能的总价值为14.61亿元/a,改善价值为98.58亿元/a。此外,研究发现受访者可分为资源偏好型、景观偏好型和价格敏感型等3个潜在类别,不同类型的群体对湿地生态系统服务功能存在不同偏好;女性和更高学历的受访者更偏好于资源保护,高收入和到景区旅游次数多的受访者更偏好于景观保护,而教育和收入水平越低的受访者更倾向于选择价格较低的湿地管理方案。研究有助于湿地可持续管理政策的优化设计,为相关环境政策的制定提供理论依据。     

基于3S技术的图们江流域湿地生态安全评价与预警研究

图们江是我国重要的国际性河流之一,随着我国经济的迅速崛起,图们江地区进入到多国合作联合开发阶段,该区环境也因此受到了不同程度的干扰和破坏,对该区域进行湿地生态安全评价与预警研究,可为图们江流域生态环境的可持续发展提供依据。以图们江流域湿地生态安全为出发点,基于PSR模型构建了适合该区域生态环境的生态安全评价指标体系,在3S技术支持下,通过解译1976年、1990年、2000年、2010年4个年份的TM/MSS影像,获取了这4个时期的景观格局指标数据,并运用层次分析法确定指标权重;在使用逻辑斯蒂增长曲线模型对各个指标进行单指标评价的基础上,使用综合评价法对各个时期的图们江流域湿地生态安全进行评价,最终得到1976年、1990年生态安全值分别为0.650、0.620,湿地生态系统比较安全,2000年、2010年生态安全值分别为0.536、0.454,湿地生态系统处于预警状态,应及时对该区域湿地生态系统进行保护。基于灰色预测模型构建湿地生态安全预测模型,经检验,模型精度较高,可以进行图们江流域湿地生态安全的预测研究。做出了图们江流域未来40a的湿地生态安全预测,分别为0.3903、0.3345、0.2866、0.2456,湿地生态系统处于中度预警状态,并有向重度预警发展的趋势,生态安全面临的威胁越来越严重,急需对本区域湿地生态系统进行保护与管理。     

Conservation strategies for coastal wetlands in the Gulf of California,Mexico

Wetlands worldwide, the fisheries they support, and the communities that depend on them are threatened by habitat modification. We describe strategies being used for wetland conservation in the Gulf of California, Mexico, their effectiveness, and challenges for implementation. We base our analysis on the authors’ experience working for local environmental non-governmental organizations and available literature. The strategies discussed include public and private policy instruments such as Environmental Impact Evaluations, environmental land easements, concessions and transfer agreements, Natural Protected Areas, and international agreements such as the Ramsar convention and the North American Wetlands Conservation Act. We present examples from the Gulf of California that highlight some of the challenges to wetland conservation. These challenges range from governmental failure to enforce existing environmental legislation, lack of verification of requirements for development projects, to low economic penalties for wetland modification or destruction. We found that in the Gulf of California successful conservation of coastal wetlands required a combination of policy instruments and relied on integrating science, management, and public participation through partnerships between non-governmental institutions, academic institutions, community stakeholders, and government agencies.     

Integrating Human Health and Environmental Health into the DPSIR Framework: A Tool to Identify Research Opportunities for Sustainable and Healthy Communities

The U.S. Environmental Protection Agency has recently realigned its research enterprise around the concept of sustainability. Scientists from across multiple disciplines have a role to play in contributing the information, methods, and tools needed to more fully understand the long-term impacts of decisions on the social and economic sustainability of communities. Success will depend on a shift in thinking to integrate, organize, and prioritize research within a systems context. We used the Driving forces–Pressures–State–Impact–Response (DPSIR) framework as a basis for integrating social, cultural, and economic aspects of environmental and human health into a single framework. To make the framework broadly applicable to sustainability research planning, we provide a hierarchical system of DPSIR keywords and guidelines for use as a communication tool. The applicability of the integrated framework was first tested on a public health issue (asthma disparities) for purposes of discussion. We then applied the framework at a science planning meeting to identify opportunities for sustainable and healthy communities research. We conclude that an integrated systems framework has many potential roles in science planning, including identifying key issues, visualizing interactions within the system, identifying research gaps, organizing information, developing computational models, and identifying indicators.     

Carbon sequestration in wetland soils of the northern Gulf of Mexico coastal region

Coastal wetlands play an important but complex role in the global carbon cycle, contributing to the ecosystem service of greenhouse gas regulation through carbon sequestration. Although coastal wetlands occupy a small percent of the total US land area, their potential for carbon storage, especially in soils, often exceeds that of other terrestrial ecosystems. More than half of the coastal wetlands in the US are located in the northern Gulf of Mexico, yet these wetlands continue to be degraded at an alarming rate, resulting in a significant loss of stored carbon and reduction in capacity for carbon sequestration. We provide estimates of surface soil carbon densities for wetlands in the northern Gulf of Mexico coastal region, calculated from field measurements of bulk density and soil carbon content in the upper 10–15 cm of soil. We combined these estimates with soil accretion rates derived from the literature and wetland area estimates to calculate surface soil carbon pools and accumulation rates. Wetlands in the northern Gulf of Mexico coastal region potentially store 34–47 Mg C ha^?1 and could potentially accumulate 11,517 Gg C year^?1. These estimates provide important information that can be used to incorporate the value of wetlands in the northern Gulf of Mexico coastal region in future wetland management decisions related to global climate change. Estimates of carbon sequestration potential should be considered along with estimates of other ecosystem services provided by wetlands in the northern Gulf of Mexico coastal region to strengthen and enhance the conservation, sustainable management, and restoration of these important natural resources.     

图们江下游湿地生态系统健康评价

湿地是世界上具有独特结构与功能的生态系统,图们江流域湿地生态系统的健康对该区乃至东北亚地区综合生态系统网络的建设具有重要意义。选择图们江流域下游为研究区,基于压力-状态-响应(PSR)模型,在压力系统、状态系统、响应系统三个层面选取30个指标构建了图们江下游湿地生态系统健康评价指标体系,运用层次分析法和多级模糊综合评判法对研究区湿地生态健康状况进行综合评价,其结果为0.5878,处于亚健康状态。其中,压力系统的健康指数为0.5292,响应系统的健康指数为0.6866,状态系统的健康指数为0.5116,各等级隶属度S=(16.83%, 25.37%, 16.76%, 16.97%,24.07%)。主要表现在研究区域湿地的补水水质差,导致湿地水质污染加重,富营养化现象严重;并且由于人为因素,湿地大面积退化,景观破碎化加剧,功能逐渐丧失,生产力水平下降;急需对本区域湿地进行保护与管理。     

基于BP神经网络与ETM+遥感数据的盐城滨海自然湿地覆被分类

高效而精确的湿地遥感分类是大范围湿地资源动态监测与管理的必要保障。本研究使用ETM 遥感数据,借助Matlab神经网络工具箱,构建了基于BP神经网络的滨海湿地覆被分类模型,并将其应用于江苏盐城沿海湿地珍禽国家级自然保护区的核心区的自然湿地覆被分类研究中。本研究选择3、4、7、8波段作为输入层变量,单隐藏层设为10个节点,输出层变量对应待划分的8种覆被类型,构建三层式BP神经网络滨海湿地覆被分类模型。结果显示,BP分类总精度为85.91%,Kappa系数为0.8328,与最小距离法和极大似然法的分类总精度相比,分别提高了7.99%和6.08%,Kappa系数也相比提高。研究结果表明,BP神经网络分类法是一种较为有效的湿地遥感影像分类技术,能够提高分类精度。     

Hitchhiking halophytes in wrack and sediment-laden ice blocks contribute to tidal marsh development in the Upper Bay of Fundy

Wetlands Ecology and Management - Salt marshes are a type of coastal wetland that are affected by dynamic coastal processes. Ice blocks and wrack (mats of plant debris) regularly float onto...     

Dynamics and integrity of wetland network in estuary

The increasing fragmentation and degradation tendency of estuarine wetlands due to rapid urbanization in coastal areas exert the urgent need to quantify the structural characteristic of wetland network, which involves the fragmentized wetland patches for wetland restoration and conservation. Although wetland networks have already been used for conservation planning on a regional scale, the variation of connectivity and structural characteristic has not been well studied. Therefore, this study gathered data from Landsat TM/ETM + images to construct the wetland network and employed the graph theoretical analysis to characterize the network evolution, structural connectivity changes, and network integrity alteration in the Pearl River Estuary, South China. The wetland network integrity was defined in the study, including structural connectivity and several functional attributes, the variation of six generated networks during 1979 to 2009 was analyzed as well. The wetland network exhibited a weakening topology over time, which is indicated by a significant decrease in the degree distribution, connectivity, and clustering coefficient. The diminishing trends of wetland network integrity reveal that although the latest wetland network can still protect the regional environment, the weakening phenomenon in its topology and integrity would reduce the ability of estuarine wetland network to resist external interference.     

Evaluation of geographic,geomorphic and human influences on Great Lakes wetland indicators: A multi-assemblage approach

Developing effective indicators of ecological condition requires calibration to determine the geographic range and ecosystem type appropriate for each indicator. Here, we demonstrate an approach for evaluating the relative influence of geography, geomorphology and human disturbance on patterns of variation in biotic indicators derived from multiple assemblages for ecosystems that span broad spatial scales. To accomplish this, we collected abundance information on six biotic assemblages (birds, fish, amphibians, aquatic macroinvertebrates, wetland vegetation, and diatoms) from over 450 locations along U.S. shorelines throughout each of the Great Lakes during 2002–2004. Sixty-six candidate taxon- and function-based indicators analyzed using hierarchical variance partitioning revealed that geographic (lake) rather than geomorphic factors (wetland type) had the greatest influence on the proportion of variance explained across all indicators, and that a significant portion of the variance was also related to response to human disturbance. Wetland vegetation, fish and bird indicators were the most, and macroinvertebrates the least, responsive to human disturbance. Proportion of rock bass, Carex lasiocarpa, and stephanodiscoid diatoms, as well as the presence of spring peepers and the number of insectivorous birds were among the indicators that responded most strongly to a human disturbance index, suggesting they have good potential as indicators of Great Lakes coastal wetland condition. Ecoprovince, wetland type, and indicator type (taxa vs function based) explained relatively little variance. Variance patterns for macroinvertebrates and birds were least concordant with those of other assemblages, while diatoms and amphibians, and fish and wetland vegetation were the most concordant assemblage pairs. Our results strongly suggest it will not be possible to develop effective indicators of Great Lakes coastal wetland condition without accounting for differences among lakes and their important interactions. This is one of the first attempts to show how ecological indicators of human disturbance vary over a broad spatial scale in wetlands.     

Detection of coastal wetland change in China: a case study in Hangzhou Bay

Wetlands Ecology and Management - Wetland monitoring is crucial for understanding wetland changes and responses to natural and anthropogenic actions. In this research, Hangzhou Bay coastal wetland...     

自然和人工管理驱动下盐城海滨湿地景观格局演变特征与空间差异

将盐城国家级自然保护区核心区划分为人工管理区和自然湿地区两种模式,根据1987年、1997年、2007年3个时相的景观资料,运用RS、GIS技术和景观生态学方法,分析不同驱动力下湿地景观格局的变化差异。结果表明:(1)人工管理区,景观斑块平均面积由205.31 hm2降至55.60 hm2,景观多样性指数1.4284降低到1.2928,优势度从0.3634上升到0.7766,表明景观破碎化明显,景观多样性呈降低趋势,优势度则呈上升趋势。景观变化的结果导致景观带状特征变弱,镶嵌性特征十分明显;1987—1997年期间,景观格局空间演变表现为从陆地向海洋的单向演替;而1997—2007年,景观演替呈现多向性特征。(2)自然湿地区,景观优势度呈下降趋势,从0.4844下降到0.3164;而景观多样性呈上升趋势,其指数从0.9019上升到1.4754。景观带状格局发育更加明显,各景观带宽趋于均匀,并且景观从陆地向海洋呈单向演替特征。(3)影响海滨湿地景观格局演变的驱动因素是:自然湿地区主要受海洋潮汐作用影响,其主要自然过程如地貌过程和植物群落演替过程等呈连续性变化,从而导致景观演变呈带状连续性发展;人工管理区主要受人为管理影响,人为管理往往使生态过程的连续性发生突变,从而使景观演变呈多向性特征。     

Towards decision support-based integrated management planning of papyrus wetlands: a case study from Uganda

Management and decision making for wetlands need an integrated approach, in which all ecosystem services are identified, their importance are assessed and objectives are formulated about their desired outputs. This approach has been applied successfully in European wetlands with sufficient scientific data. The main objective of this study was to evaluate the application of this approach in the context of a data-poor, multi-use African wetland. The Namatala wetland in Uganda, a wetland under intense pressure from wastewater discharge, conversion to agriculture and vegetation harvesting, was used as a case study. After characterisation of the wetland ecosystem and stakeholder analysis, three management options, subdivided into 13 sub-options, were identified for the wetland. These options were combined into six management solutions. A set of 15 indicators, subdivided into five categories (livelihood; human health; ecology; costs; risk of failure), were identified to assess the performance of these management solutions. Stakeholders’ preferences were taken into consideration by means of weights attached to the indicators, and a best-compromise solution was derived which consisted of a combination of sustainable agriculture in the upper Namatala wetland, papyrus buffer strips along the Namatala river channel, sustainable land use (vegetation harvesting, fishing) in lower Namatala wetland, and papyrus buffer zones at the waste-water discharge points. Despite differences of opinion among stakeholder groups about the relative importance of the indicators, the same compromise solution resulted for all stakeholders. It was concluded that this systematic approach and the stakeholder dialogue about the management options were beneficial to the management process, although the approach would benefit from more and better data about the wetland system and from model-derived predictions.     

植物生活史型定量划分及其权重配置方法——以四棱豆生活史型划分为例

植物生活史型定量划分方法研究是植物生活史型研究的重要内容。现有的生活史型定量划分方法是基于主成分分析法(PCA)建立起来的,未考虑性状指标之间的相互影响,因此需要探索适用于"网状"结构指标体系的植物生活史型划分新方法。根据植物生活史型划分指标的层次性特点,以攀援型和矮生型四棱豆(Psophocarpus tetragonolobus)为例,分别采用主成分分析法(PCA)、层次分析法(AHP)和网络层次分析法(ANP)对性状指标进行权重配置,计算性状指标的综合得分和生活史型划分参数,结果如下:与ANP相比,PCA计算的V型(营养生长型)参数值偏低(x在0.39以下),S型(有性生殖型)参数值偏高(z在0.453以上);AHP计算的V型参数值偏高(x在0.614以上),S型参数值偏低(z在0.088以下);3种方法计算的生活史型划分参数差异明显。由于PCA、AHP均要求性状指标之间相互独立,不能排除性状指标之间的关联,因此基于PCA、AHP的四棱豆生活史型划分结果均出现了偏差,表明性状指标之间的相关性影响了生活史型划分结果。ANP的指标体系为"网状"结构,其控制层、网络层各个指标之间均存在关联。构建ANP的判断矩阵时提取了性状指标的相关矩阵信息,权重配置反映了性状指标之间的相关关系。基于ANP方法对攀援型和矮生型四棱豆生活史型的划分结果分别为V0.517C0.327S0.156和V0.416C0.43S0.154。当性状指标之间的相关不显著时,可采用PCA和AHP法分配权重;当性状指标之间存在显著相关时,采用ANP法进行权重配置更为恰当。综上所述,基于ANP的植物生活史型划分方法解决了性状指标之间相互影响问题,为植物生活史型定量研究提供了新的有效方法。     

Defining the coast and sentinel ecosystems for coastal observations of global change

The detection, attribution and prediction of global and large scale regional change are goals for the Global Observing Systems of the United Nations. Coastal areas are particularly sensitive to global change, but there is a variety of limitations to universal coverage of observations. The coastal module of the Global Terrestrial Observing System (C-GTOS) considers sentinel ecosystems to address these goals for the terrestrial, wetland and freshwater ecosystems of the coast. Sentinel ecosystems for observing systems are a limited number of well understood systems that have substantial datasets and are observed in a sustained fashion, forming an early warning and core system for broader regional and global change. A necessary step in the development of C-GTOS is the examination of current definitions of coastal areas by anticipated users and information providers, and identification of potential coastal networks and sites. We applied the sentinel system framework to the selection of C-GTOS observation sites from several international programs using various global delineations of coastal areas. Delineations were based on the most common definitions of the coast adopted by potential C-GTOS users and information providers, and included mapped areas of various distance from the coastline, coastal areas of low elevation, and a seaward boundary matching the Economic Exclusive Zone (EEZ). Decreases in the number of sites within each international program occurred with each definition marking area closer to the coastline. The Ramsar Convention on Wetlands demonstrates the greatest percentage of coastal sites by any definition. The process of choosing specific sentinel sites for C-GTOS continues from this initial screening, and is the next step towards the development of an in situ site network supporting the observation of global and large scale change. An erratum to this article is available at .     

Indicators of sustainable tourism: A case study from a Taiwan's wetland

This study aims to identify indicators for sustainable wetland tourism. In study 1, the fuzzy Delphi method was used to determine key dimensions and indicators. In study 2, the relative weights of these dimensions and indicators were examined using the analytic hierarchy process. The empirical results revealed 141 indicators in the hierarchy for sustainable wetland tourism. At the first level, the weight of the stakeholder dimension was greater than that of the environment dimension. At the second level, the impact on community development was the most important factor within the stakeholder dimension. Among the identified indicators, the top 7.8% were respect for local traditional culture, respect for local lifestyle, compliance with destination guidelines, traffic problems, destruction of the natural environment, existence of crowds at the destination, participation in cultural activities, understanding the culture, assimilation into the local culture, overall effect of tourism, benefit–cost differential, and reduction of environmental impact. A series of management implications are drawn, including the need to use this information to foster stakeholder involvement and collaboration, to focus on planning for sustainable tourism development in general, and to use these indicators for the management of wetland-based sustainable tourism development.     

海岸带综合管理及其研究进展

协调海岸带区域综合承载力与经济社会可持续发展的关系,加强和实施海岸带综合管理(ICZM)和可持续发展战略是当今政府与社会各界关注的热点。海岸带综合管理需要多部门协作配合,综合运用社会、经济、环境、法律等多方面技术实现科学的海岸带管理。根据当前发展趋势,海岸带综合管理进展可归纳为:人文与自然过程变化与海岸带响应;基于不同目标的海岸带规划;海岸带综合管理的评价;新技术与方法应用;利益冲突与关系协调;生态关键区保护与管理;政策与法规制定与调整。在综述海岸带综合管理的发展历程的基础上,探讨了海岸带综合管理的展望。