Ecosystem services and environmental decision making: seeking order in complexity

A club model of nature-smart agriculture for biodiversity, climate, and productivity enhancements

This article considers horizontal and vertical intensification interactions between environmental conservation and agricultural production to investigate a top-down partnership in agriculture. It addresses the issues underlying the challenge of food security. It explores a nature-based landscape approach to agriculture management that simultaneously ensures food security and safeguards the natural environment. The economic theory of clubs is applied to extend farm-level sustainable agricultural intensification and conservation practices to encompass interconnected activities within the entire landscape. A theoretical ecological-economic club model is used to explore how biodiversity and climate-related environmental goods and agricultural products are coproduced by private producers in agroecosystems of any spatial scale. The model considers any given agroecosystem as a club producing two goods: private economic output and public ecological output. It also proposes a dual environmental incentive approach to promote participants' individual and collaborative efforts. The model derives (a) the social conditions for the optimal application and allocation of resources for producing sustainable agricultural and ecological outputs and (b) the producer's incentive conditions for adequate levels of individual and collaborative conservation activities. Thus, the study identifies conditions that optimize horizontal and vertical agri-environmental farming intensification while preventing crowding out voluntary conservation activities. The model presented here can set a theoretical "benchmark" model to address real-life deviations comparatively. A practical proposition derived from the analysis points to the possibility that farm-scale conservation (of biodiversity and climate-related attributes), when extended to the landscape level, can optimally enhance the interconnected goals of agri-environmental farming. Thus, a data-driving methodology is described to outline a practical approach to the agricultural transition toward landscape conservation, a practical guide for policymakers and regulators who need to develop and provide tailor-made support to agricultural producer members of the club. Integr Environ Assess Manag 2023;19:412-421. © 2022 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

Structural and Contentual Complexity in Water Governance

Social-ecological systems and governance are complex systems and crises that affect those systems are likely to be complex as well. Environmental topics are multi-faceted with respect to both structure and content. Structural complexity is about societal and institutional organization and management, whereas contentual complexity deals with environmental (or societal) analyses, knowledge, and problem-solving. Interactions between both are manifold, and it is essential they are included in decision-making. Describing these interactions results in a series of nineteen units, arranged in a matrix according to their prevailing mutual dependencies. These units show dominant processes and concepts, representative of environmental analysis. This approach, called ACCU (aggregation of concepts and complex adapted systems units), is provided with evidence through practices of, in particular, water governance.

Towards an ecosystem service-based method to quantify the filtration services of mussels under chemical exposure

As filter-feeders, freshwater mussels provide the ecosystem service (ES) of biofiltration. Chemical pollution may impinge on the provisioning of mussels' filtration services. However, few attempts have been made to estimate the impacts of chemical mixtures on mussels' filtration capacities in the field, nor to assess the economic benefits of mussel-provided filtration services for humans. The aim of the study was to derive and to apply a methodology for quantifying the economic benefits of mussel filtration services in relation to chemical mixture exposure. To this end, we first applied the bootstrapping approach to quantify the filtration capacity of dreissenid mussels when exposed to metal mixtures in the Rhine and Meuse Rivers in the Netherlands. Subsequently, we applied the value transfer method to quantify the economic benefits of mussel filtration services to surface water-dependent drinking water companies. The average mixture filtration inhibition (filtration rate reduction due to exposure to metal mixtures) to dreissenids was estimated to be <1% in the Rhine and Meuse Rivers based on the measured metal concentrations from 1999 to 2017. On average, dreissenids on groynes were estimated to filter the highest percentage of river discharge in the Nederrijn-Lek River (9.1%) and the lowest in the Waal River (0.1%). We estimated that dreissenid filtration services would save 110-12,000 euros/million m³ for drinking water production when abstracting raw water at the end of respective rivers. Economic benefits increased over time due to metal emission reduction. This study presents a novel methodology for quantifying the economic benefits of mussel filtration services associated with chemical pollution, which is understandable to policymakers. The derived approach could potentially serve as a blueprint for developing methods in examining the economic value of other filter-feeders exposed to other chemicals and environmental stressors. We explicitly discuss the uncertainties for further development and application of the method.

Developing policy and practice for marine net gain

Policies that require development projects to ensure no net loss (NNL) of biodiversity are becoming common globally. Momentum is increasing to extend this concept to one of net gain, including for the marine environment. While such policies are being formulated it is important to learn the lessons from NNL approaches and consider the wider opportunities presented by a net gain strategy. The vehicle for NNL is typically the mitigation hierarchy, which is applied through planning consents and licensing to projects expected to have significant environmental impact. However, it becomes clear that significant marine net gain is unlikely to be achieved by following this approach. Attempting site-based like-for-like compensation, restoration and enhancement is likely to result in only a minimal contribution towards aspirations for environmental recovery and addressing the climate and biodiversity crises. Moving forward with an effective net gain strategy will be a complex process, with challenges that range from a lack of data to the limitations presented by existing governance frameworks. In particular, the inadequate treatment of cumulative effects within the Environmental Impact Assessment process, and how regional marine planning can be better used to translate strategic objectives to the site level, need to be addressed. Taking the broader perspective of environmental (as opposed to biodiversity-only) net gain, and linking this to the natural capital approach offers advantages, and it is also essential that marine net gain considers species as well as habitats. Widespread marine net gain cannot occur independently of fisheries management, and extensive public engagement and stakeholder co-production is required to develop the necessary collaborative solutions.

Identifying Ecosystem Key Factors to Support Sustainable Water Management

There is a growing consensus that sustainable development requires a behavioral change, forced by firm decision-making. However, existing decision-supporting tools are unlikely to provide relevant information, hampered by the complexity of combined socio-economic and natural systems. Protecting the intrinsic value of ecosystems and providing sufficient natural resources for human use at the same time leads up to a wide span of management, ranging from species traits to governance. The aim of this study is to investigate the interactions between the natural and economic systems from the perspective of sustainable development. The way to reduce systems complexity by selecting key factors of ecosystem functioning for policy and management purposes is discussed. To achieve this, the Pentatope Model is used as a holistic framework, an ecosystem nodes network is developed to select key factors, and a combined natural and socio-economic valuation scheme is drawn. These key factors—abiotic resources and conditions, biodiversity, and biomass—are considered fundamental to the ecosystem properties habitat range and carrying capacity. Their characteristics are discussed in relation to sustainable water management. The conclusion is that sustainable development requires environmental decision-making that includes the intrinsic natural value, and should be supported by ecological modelling, additional environmental quality standards, and substance balances.

Integration of Chlorpyrifos Acetylcholinesterase Inhibition, Water Temperature, and Dissolved Oxygen Concentration into a Regional Scale Multiple Stressor Risk Assessment Estimating Risk to Chinook Salmon

We estimated the risk to populations of Chinook salmon (Oncorhynchus tshawytscha) due to chlorpyrifos (CH), water temperature (WT), and dissolved oxygen concentration (DO) in 4 watersheds in Washington State, USA. The watersheds included the Nooksack and Skagit Rivers in the Northern Puget Sound, the Cedar River in the Seattle-Tacoma corridor, and the Yakima River, a tributary of the Columbia River. The Bayesian network relative risk model (BN-RRM) was used to conduct this ecological risk assessment and was modified to contain an acetylcholinesterase (AChE) inhibition pathway parameterized using data from CH toxicity data sets. The completed BN-RRM estimated risk at a population scale to Chinook salmon employing classical matrix modeling runs up to 50-y timeframes. There were 3 primary conclusions drawn from the model-building process and the risk calculations. First, the incorporation of an AChE inhibition pathway and the output from a population model can be combined with environmental factors in a quantitative fashion. Second, the probability of not meeting the management goal of no loss to the population ranges from 65% to 85%. Environmental conditions contributed to a larger proportion of the risk compared to CH. Third, the sensitivity analysis describing the influence of the variables on the predicted risk varied depending on seasonal conditions. In the summer, WT and DO were more influential than CH. In the winter, when the seasonal conditions are more benign, CH was the driver. Fourth, in order to reach the management goal, we calculated the conditions that would increase juvenile survival, adult survival, and a reduction in toxicological effects. The same process in this example should be applicable to the inclusion of multiple pesticides and to more descriptive population models such as those describing metapopulations. Integr Environ Assess Manag 2019;00:1-15. © 2019 SETAC.

Integrating Aquatic Designated Use Protection and Restoration Strategies Using an Ecosystem Goods and Services Framework

Water quality standards programs in the United States and other countries are based on designated uses (DUs), which are linked to criteria that specify maximum pollutant levels and other characteristics that are thresholds for waterbody compliance with regulatory goals. Most DUs are similar to certain provisioning ecosystem goods and services (EGS), such as drinking water supply and recreation (e.g., boating, fishing). Absent in the DU concept are supporting or regulating services, which results in disjointed and often ineffective aquatic ecosystem protection and restoration strategies. The focus on discrete sets of water quality parameters in the DU concept can often result in the appearance of conflicting DUs, resulting in poor provisioning of certain DUs. We present a framework that uses EGS to provide a more holistic assessment of DUs and to help inform best management practices that could result in fuller attainment of DUs while providing greater provisioning of desired goods and services. Two case studies are discussed, demonstrating some of the issues with the DU concept, how it is implemented in the United States, and how the EGS framework can provide a crosswalk between the DU paradigm and stakeholder goals for a watershed. A process is presented that could help regulatory agencies and stakeholders make better use of the EGS framework in DU decisions, including watershed protection and restoration. The EGS framework presented here, coupled with a watershed stakeholder process focused on developing an integrative management strategy based on the framework, could help achieve multiple beneficial uses in an aquatic system. Integr Environ Assess Manag 2019;15:808-818. © 2019 SETAC.

Ecosystem Services in Life Cycle Assessment: A novel conceptual framework for soil

Ecosystem Services (ES) are the direct and indirect contributions of ecosystems to human well-being, which include provision of food and water, regulation of flood and erosion processes, soil formation and non-material benefits such as recreation. The integration of ES impact modeling in Life Cycle Assessment (LCA) still has limitations regarding the typology embodied and some conceptual errors in not actually evaluating the benefits provided by ES. In this context, soil is an important resource and provides a wide diversity of ES. Therefore, this article aims to: (i) Review the evolution of ES assessment in LCA and the current methods used to study the biophysical aspects of ES; (ii) Compare the ES cascade model and LCA environmental mechanism for land use impacts; and (iii) Improve and synthesize a new conceptual framework for soil-ES assessment in LCA studies. Results show that the cascade model provides a useful framework for operationalizing ES assessment and should integrate LCA. Thus, this study proposes a new conceptual framework for soil-ES including the main soil processes, functions, services, benefits and values. Each of these cascade model steps is aligned with LCA terminology in order to match the usual midpoint or endpoint levels of modeling. Future works should focus on new indicators to measure the supply of ES and their benefit to humans as well as indicators to their value.

A Bayesian Approach to Integrated Ecological and Human Health Risk Assessment for the South River, Virginia Mercury-Contaminated Site

We conducted a regional-scale integrated ecological and human health risk assessment by applying the relative risk model with Bayesian networks (BN-RRM) to a case study of the South River, Virginia mercury-contaminated site. Risk to four ecological services of the South River (human health, water quality, recreation, and the recreational fishery) was evaluated using a multiple stressor-multiple endpoint approach. These four ecological services were selected as endpoints based on stakeholder feedback and prioritized management goals for the river. The BN-RRM approach allowed for the calculation of relative risk to 14 biotic, human health, recreation, and water quality endpoints from chemical and ecological stressors in five risk regions of the South River. Results indicated that water quality and the recreational fishery were the ecological services at highest risk in the South River. Human health risk for users of the South River was low relative to the risk to other endpoints. Risk to recreation in the South River was moderate with little spatial variability among the five risk regions. Sensitivity and uncertainty analysis identified stressors and other parameters that influence risk for each endpoint in each risk region. This research demonstrates a probabilistic approach to integrated ecological and human health risk assessment that considers the effects of chemical and ecological stressors across the landscape.

Toward a conceptual approach for assessing risks from chemical mixtures and other stressors to coastal ecosystem services

Growth of human populations and increased human activity, particularly in coastal areas, increase pressure on coastal ecosystems and the ecosystem services (ES) they provide. As a means toward being able to assess the impact of multiple stressors on ES, in the present study we propose an 8-step conceptual approach for assessing effects of chemical mixtures and other stressors on ES in coastal areas: step A, identify the relevant problems and policy aims; step B, identify temporal and spatial boundaries; step C, identify relevant ES; step D, identify relevant stressors (e.g., chemicals); step E, translate impacts into ES units; step F, assess cumulative risk in ES units; step G, rank stressors based on their contribution to adverse effects on ES; and step H, implement regulation and management as appropriate and necessary. Two illustrative case studies (Swedish coastal waters and a coastal lagoon in Costa Rica) are provided; one focuses on chemicals that affect human food supply and the other addresses pesticide runoff and trade-offs among ES. The 2 cases are used to highlight challenges of such risk assessments, including use of standardized versus ES-relevant test species, data completeness, and trade-offs among ES. Lessons learned from the 2 case studies are discussed in relation to environmental risk assessment and management of chemical mixtures. Integr Environ Assess Manag 2017;13:376-386. © 2016 SETAC.

A general risk-based adaptive management scheme incorporating the Bayesian Network Relative Risk Model with the South River, Virginia, as case study

Adaptive management has been presented as a method for the remediation, restoration, and protection of ecological systems. Recent reviews have found that the implementation of adaptive management has been unsuccessful in many instances. We present a modification of the model first formulated by Wyant and colleagues that puts ecological risk assessment into a central role in the adaptive management process. This construction has 3 overarching segments. Public engagement and governance determine the goals of society by identifying endpoints and specifying constraints such as costs. The research, engineering, risk assessment, and management section contains the decision loop estimating risk, evaluating options, specifying the monitoring program, and incorporating the data to re-evaluate risk. The 3rd component is the recognition that risk and public engagement can be altered by various externalities such as climate change, economics, technological developments, and population growth. We use the South River, Virginia, USA, study area and our previous research to illustrate each of these components. In our example, we use the Bayesian Network Relative Risk Model to estimate risks, evaluate remediation options, and provide lists of monitoring priorities. The research, engineering, risk assessment, and management loop also provides a structure in which data and the records of what worked and what did not, the learning process, can be stored. The learning process is a central part of adaptive management. We conclude that risk assessment can and should become an integral part of the adaptive management process. Integr Environ Assess Manag 2017;13:115-126. © 2016 SETAC.

Application of ecosystem services in natural resource management decision making

An ecosystem services (ES) approach to natural resource management (NRM) can provide the framework for balancing economic, ecological, and societal drivers in decision making. The efficacy of such an approach depends on the successful execution of several key activities, from early and continuous engagement with relevant stakeholders, to development and application of ecological production functions (EPFs), to explicit recognition of uncertainty in the process. Although there are obstacles to the implementation of an ES approach in NRM, including unclear regulatory and policy frameworks and the paucity of useful EPFs, many of the tools are currently available or sufficiently developed. An ES approach can and, in some cases, should involve qualitative rather than quantitative assessment when the stakes are not very high or when quantitative approaches would not be cost effective because of highly uncertain results. Integr Environ Assess Manag 2017;13:74-84. © 2016 SETAC.

Coastal Zone Ecosystem Services: from science to values and decision making; a case study

This research is concerned with the following environmental research questions: socio-ecological system complexity, especially when valuing ecosystem services; ecosystems stock and services flow sustainability and valuation; the incorporation of scale issues when valuing ecosystem services; and the integration of knowledge from diverse disciplines for governance and decision making. In this case study, we focused on ecosystem services that can be jointly supplied but independently valued in economic terms: healthy climate (via carbon sequestration and storage), food (via fisheries production in nursery grounds), and nature recreation (nature watching and enjoyment). We also explored the issue of ecosystem stock and services flow, and we provide recommendations on how to value stock and flows of ecosystem services via accounting and economic values respectively. We considered broadly comparable estuarine systems located on the English North Sea coast: the Blackwater estuary and the Humber estuary. In the past, these two estuaries have undergone major land-claim. Managed realignment is a policy through which previously claimed intertidal habitats are recreated allowing the enhancement of the ecosystem services provided by saltmarshes. In this context, we investigated ecosystem service values, through biophysical estimates and welfare value estimates. Using an optimistic (extended conservation of coastal ecosystems) and a pessimistic (loss of coastal ecosystems because of, for example, European policy reversal) scenario, we find that context dependency, and hence value transfer possibilities, vary among ecosystem services and benefits. As a result, careful consideration in the use and application of value transfer, both in biophysical estimates and welfare value estimates, is advocated to supply reliable information for policy making.