Biophysical Measures to Support Analysis and Communication of Existence Values

A recent focus of ecosystem services research has been on the definition of biophysical outcomes and measures most closely linked to social welfare. There is a particular need to identify biophysical outcomes corresponding to existence values. (Values associated with existence apart from any current or future use.) We review economic and ecological evidence to answer two key questions: First, what are ideal characteristics of linking indicators for existence values? Linking indicators should be: understandable, subject to direct sensory perception, represented at relevant temporal and spatial scales, comprehensive, and quantifiable in a repeatable manner. Second, what types of ecosystem outcomes are most likely to be associated with these values? We distinguish between indicators of taxa and ecological landscapes, and then multiple subcategories within each. Our fundamental conclusion is that while there are general principles informing the specification of linking indicators of existence values, there is no compact set of indicators or measures that applies universally. The case-specific nature of these issues — general guidelines notwithstanding — implies the need for sustained partnerships between social and biophysical scientists to address questions of indicator choice. © 2023 J. Boyd, R. J. Johnston and P. Ringold

Developing ecosystem service indicators: experiences and lessons learned from sub-global assessments and other initiatives

People depend upon ecosystems to supply a range of services necessary for their survival and well-being. Ecosystem service indicators are critical for knowing whether or not these essential services are being maintained and used in a sustainable manner, thus enabling policy makers to identify the policies and other interventions needed to better manage them. As a result, ecosystem service indicators are of increasing interest and importance to governmental and inter-governmental processes, including amongst others the Convention on Biological Diversity (CBD) and the Aichi Targets contained within its strategic plan for 2011-2020, as well as the emerging Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES). Despite this growing demand, assessing ecosystem service status and trends and developing robust indicators is o!en hindered by a lack of information and data, resulting in few available indicators. In response, the United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), together with a wide range of international partners and supported by the Swedish International Biodiversity Programme (SwedBio)*, undertook a project to take stock of the key lessons that have been learnt in developing and using ecosystem service indicators in a range of assessment contexts. The project examined the methodologies, metrics and data sources employed in delivering ecosystem service indicators, so as to inform future indicator development. This report presents the principal results of this project

The 2010 American College of Rheumatology/European League Against Rheumatism classification criteria for rheumatoid arthritis: Phase 2 methodological report

Objective The American College of Rheumatology and the European League Against Rheumatism have developed new classification criteria for rheumatoid arthritis (RA). The aim of Phase 2 of the development process was to achieve expert consensus on the clinical and laboratory variables that should contribute to the final criteria set. Methods Twenty-four expert RA clinicians (12 from Europe and 12 from North America) participated in Phase 2. A consensus-based decision analysis approach was used to identify factors (and their relative weights) that influence the probability of “developing RA,” complemented by data from the Phase 1 study. Patient case scenarios were used to identify and reach consensus on factors important in determining the probability of RA development. Decision analytic software was used to derive the relative weights for each of the factors and their categories, using choice-based conjoint analysis. Results The expert panel agreed that the new classification criteria should be applied to individuals with undifferentiated inflammatory arthritis in whom at least 1 joint is deemed by an expert assessor to be swollen, indicating definite synovitis. In this clinical setting, they identified 4 additional criteria as being important: number of joints involved and site of involvement, serologic abnormality, acute-phase response, and duration of symptoms in the involved joints. These criteria were consistent with those identified in the Phase 1 data-driven approach. Conclusion The consensus-based, decision analysis approach used in Phase 2 complemented the Phase 1 efforts. The 4 criteria and their relative weights form the basis of the final criteria set.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/78048/1/27580_ftp.pd

River metrics by the public, for the public.

Managing rivers in society's best interest requires data on river condition. However, the complexity of river ecosystems, combined with finite budgets for river monitoring and modeling, mean difficult choices are necessary regarding what information will be available. Typically, decisions of "what to measure" are left to natural scientists. However, knowledge of public appetite for different types of information helps ensure river data is useful to society. We investigated public interest in rivers directly, engaging nearly one hundred urban and rural participants in a combination of focus groups and semi-structured interviews. Drawing on concepts of "final" ecosystem services developed in environmental economics, we moved discussions past commonly mentioned stressors, such as pollution, to actual river features important in and of themselves. Participant feedback reflected extensive thought on river issues, in contrast to a stereotype that the public is ambivalent about environmental conditions. Interests were also broad, encompassing water quality and quantity, fish and wildlife, vegetation, and human features. Results show consolidation around relatively few themes despite diverse sociodemographics. Themes were interpreted into distilled, specific metrics to make public feedback as useful as possible for water resources monitoring, modeling, and management. Our research provides detailed, methodically generated hypotheses regarding river themes and metrics of public interest that should be considered as part of the tradeoffs inherent in river monitoring design. Results compared reasonably well to river attributes emphasized in river restoration environmental valuation reviews, with some differences. Future research could test our hypotheses with large-sample surveys

Rivers and streams in the media: a content analysis of ecosystem services

Although ecosystem services research has become common, few efforts are directed toward in-depth understanding of the specific ecological quantities people value. The theoretical framework of final ecosystem services focuses attention on such measurable attributes, as a common currency for social-ecological systems research. Environmental communications as well as ecological monitoring and analysis efforts could be enhanced through increased documentation of final ecosystem services. For example, small changes in the way ecosystems are described could strongly influence relevance to the public and improve the foundation for environmental decision making. Focusing on rivers and streams, we conducted a content analysis of existing publications to document the breadth and frequency with which various measurable attributes, such as flooding, water quality characteristics, and wildlife appeared in different news sources over a multiyear timeline. In addition to attributes, motivations for human interest in river-related resources were also coded, such as recreation or preservation for future generations. To allow testing of differences between materials written for different audiences, three sources were sampled: a blog hosted by National Geographic, New York Times articles, and Wall Street Journal articles. The coding approach was rigorously tested in a pilot phase, with measures developed to ensure high data quality, including use of two independent coders. Results show numerous similarities across sources with some notable differences in emphasis. Significant relationships between groups of attribute and motivation codes were also found, one outcome of which is further support for the importance of nonuse values for fish and wildlife. Besides offering insight on ecosystem services, the project demonstrates an in-depth quantitative approach to analyzing preexisting qualitative data

Valuing Aquatic Ecosystem Health at a National Scale: Modeling Biological Indicators Across Space and Time

The US Environmental Protection Agency (EPA) uses a water quality index (WQI) to estimate the benefits of proposed regulations. However, the existing WQI focuses mainly on metrics related to human use values, such as recreation, and fails to capture aspects important to nonuse values of aquatic ecosystems, such as existence values. Here, we identify an appropriate index of biological health for use in stated preference (SP) surveys that seek to quantify the nonuse value of streams and lakes anywhere within the conterminous US (CONUS). We used a literature review and focus groups to evaluate two aquatic indices that are regularly reported by the EPA’s National Aquatic Resources Surveys: (1) multimetric indices (MMIs) and (2) the observed-to-expected ratio of taxonomic composition (O/E). Focus group participants had difficulty interpreting the meaning of a hypothetical 5-point change in MMI values on a 100-point scale in response to changes in water or habitat quality. This difficulty arose because a 5-point change can occur due to many unique combinations of the individual metrics that compose an MMI. In contrast, participants found it easier to interpret loss in native taxa (O/E) as an index of biological condition. We chose the O/E index because of this superior interpretability when assessed against MMIs. In addition to index selection, we modeled and interpolated the values of O/E to 1.1 million stream segments and 297,071 lakes across the CONUS to provide data for SP studies at any scope or scale, from local watersheds to the entire lower 48 states. As part of this effort, we also modeled and interpolated the areas of streams (m2) to place them in the same unit as lakes to describe the quantity of resources affected by policy scenarios. Focus groups found comparisons of management scenarios easier to interpret when aquatic resources were placed into the same units and especially when presented as percentages of area. Finally, we discuss future work to link O/E with water quality and habitat models that will allow us to forecast changes in the metric resulting from regulatory action