Participatory Evaluation of Monitoring and Modeling of Sustainable Land Management Technologies in Areas Prone to Land Degradation

Examples of sustainable land management (SLM) exist throughout the world. In many cases, SLM has largely evolved through local traditional practices and incremental experimentation rather than being adopted on the basis of scientific evidence. This means that SLM technologies are often only adopted across small areas. The DESIRE (DESertIfication mitigation and REmediation of degraded land) project combined local traditional knowledge on SLM with empirical evaluation of SLM technologies. The purpose of this was to evaluate and select options for dissemination in 16 sites across 12 countries. It involved (i) an initial workshop to evaluate stakeholder priorities (reported elsewhere), (ii) field trials/empirical modeling, and then, (iii) further stakeholder evaluation workshops. This paper focuses on workshops in which stakeholders evaluated the performance of SLM technologies based on the scientific monitoring and modeling results from 15 study sites. It analyses workshop outcomes to evaluate how scientific results affected stakeholders’ perceptions of local SLM technologies. It also assessed the potential of this participatory approach in facilitating wider acceptance and implementation of SLM. In several sites, stakeholder preferences for SLM technologies changed as a consequence of empirical measurements and modeling assessments of each technology. Two workshop examples are presented in depth to: (a) explore the scientific results that triggered stakeholders to change their views; and (b) discuss stakeholders’ suggestions on how the adoption of SLM technologies could be up-scaled. The overall multi-stakeholder participatory approach taken is then evaluated. It is concluded that to facilitate broad-scale adoption of SLM technologies, de-contextualized, scientific generalisations must be given local context; scientific findings must be viewed alongside traditional beliefs and both scrutinized with equal rigor; and the knowledge of all kinds of experts must be recognised and considered in decision-making about SLM, whether it has been formally codified or not. The approach presented in this paper provided this opportunity and received positive feedback from stakeholders.     

Emergence of Indigenous Vegetation Classifications Through Integration of Traditional Ecological Knowledge and Remote Sensing Analyses

Traditional ecological knowledge (TEK) can play an important role in the understanding of ecological systems. Although TEK has complemented scientific and managerial programs in a variety of contexts, its formal incorporation into remote sensing exercises has to date been limited. Here, we show that the vegetation classifications of the Ache, an indigenous hunter-gatherer tribe of the Mbaracayu Forest Reserve in Paraguay, are reflected in a supervised classification of satellite imagery of the reserve. Accuracy of classification was toward the low end of the range of published values, but was reasonable given the difficult nature of separating forest classes from satellite images. Comparison of the resultant map with a more traditionally elaborated vegetation map highlights differences between the two approaches and the gain in information obtained by considering TEK classifications. We suggest that integration of TEK and remote sensing may provide alternative insights into the ecology of vegetation communities and land cover, particularly in remote and densely forested areas where ecological field research is often limited by roads and/or trail systems.     

Applying knowledge-based methods to design and implement an air quality workshop

In response to protection needs in class I wilderness areas, forest land managers of the USDA Forest Service must provide input to regulatory agencies regarding air pollutant impacts on air quality-related values. Regional workshops have been convened for land managers and scientists to discuss the aspects and extent of wilderness protection needs. Previous experience with a national workshop indicated that a document summarizing workshop discussions will have little operational utility. An alternative is to create a knowledge-based analytical system, in addition to the document, to aid land managers in assessing effects of air pollutants on wilderness. Knowledge-based methods were used to design and conduct regional workshops in the western United States. Extracting knowledge from a large number of workshop participants required careful planning of workshop discussions. Knowledge elicitation methods helped with this task. This knowledge-based approach appears to be effective for focusing group discussions and collecting knowledge from large groups of specialists.     

EDUCATING RURAL COMMUNITY LEADERS IN WASTEWATER TREATMENT ALTERNATIVES1

ABSTRACT: Providing adequate wastewater treatment facilities for the citizens in small rural communities in the United States can cost millions of dollars. An educational program has been developed and conducted in Ohio to teach local officials about wastewater treatment alternatives. The five-session workshop covers wastewater treatment principles, needs assessment, system management, and resource gathering. The knowledge and skills gained by the 96 community leaders who participated in six workshops were measured using a pretest/pest test and surveys conducted during the workshops. From 25 percent to 100 percent of the participants increased their knowledge of treatment systems, alternatives, and relative costs. From 23 percent to 84 percent applied new skills, such as conducting a sanitary survey or examining treatment systems. The pretest also revealed previous knowledge of the participants in the areas of system maintenance and consultant qualifications.     

The Potential of Public Participation Geographic Information Systems in UK Environmental Planning: Appraisals by Active Publics

The paper draws on an empirical study of two workshops in which the issues that arise from the use of geographic information systems (GIS) as a planning tool in public participation settings were explored by local residents who take an active interest in local planning matters in their London borough. The paper demonstrates how issues concerned with the democratization of GIS and public participation GIS (PPGIS) informed the structure and conduct of the workshops and the qualitative analysis of the workshop discussions. Key themes raised by participants included: the potential of PPGIS as a means of extending knowledge networks; issues of data ownership and the responsiveness of data providers to public concerns; and the role that institutional norms and practices play in democratizing information availability and the transparency of the decision-making process. The paper concludes that the potential of PPGIS as a planning tool cannot be separated from public concerns about the legitimacy of the planning process or local government.     

Participatory GIS and its application in governance: the example of air quality and the implications for noise pollution

Abstract

Participatory GIS (geographic information systems) is designed to use community mapping exercises to produce spatial representations of local knowledge. The ideals of Participatory GIS revolve around the concept of public participation in the use of spatial data leading to increased community involvement in policy-setting and decision-making (Weiner et al., Community participation and geographic information systems, in: Craig et al., Community participation and geographic information systems, London: Taylor & Francis, 2002). This paper reports on findings from two case studies, one relating to assessments of air quality and how Participatory GIS has been used in the UK to improve local government policy, and the second on assessments of noise pollution. It concludes by discussing a caveat on the use of Participatory GIS for environmental governance, which is that, ideally, only issues on which participants are likely to have direct experiential knowledge should be targeted.     

The digital workshop: exploring the use of interactive and immersive visualisation tools in participatory planning

This paper examines the emerging role of digital tools in a collaborative planning process for British Columbia's Bowen Island. The goal of this research was to evaluate the effectiveness of a 'digital workshop', combining the interactive CommunityViz tool with the immersive lab facilities at the Collaborative for Advanced Landscape Planning (CALP). In support of the larger community planning process, two 3-h workshops were held at CALP's Landscape Immersion Lab. To facilitate collaborative exploration, the interactive landscape visualisation and real-time data analysis capabilities of CommunityViz were employed to illustrate the possible outcomes of residential density policies for Bowen Island's Snug Cove community. The community planning workshops were structured to provide the 14 semi-expert participants with the opportunity to explore and discuss the contentious residential density components of the draft Snug Cove Village Plan. The abilities to dynamically explore the visualisations of the planning proposals, and to see real-time changes in indicator metrics were considered particularly informative, and appeared to increase participants' understanding of the plan. Written and verbal responses indicated, however, that there was insufficient time to examine and interact with the information during the workshop, suggesting a need to examine in greater depth how and when these tools might best be employed in collaborative settings. Current and future research relating to this project is discussed.     

An Assessment of Ecosystem Risks in the St. Croix National Scenic Riverway

The information needed for conducting the risk assessment was provided by the participants in a 2-day workshop. The invited participants, who possessed knowledge of the St. Croix ecosystem, identified through a group-consensus process a list of stressors and a list of ecosystem values. They then assigned numerical values to each stressor-ecosystem value pair that reflected the degree to which the given stressor contributes to ecosystem risk as measured by the given ecosystem value. Based on this information, the analytical portion of the methodology was then used to rank the ecosystem risks (stressors) when examined from several different perspectives: immediate impact, time-duration, and management activities. Regardless of the perspective taken, riverway development emerged as the most significant stressor.     

Integrating Local and Scientific Knowledge: An Example in Fisheries Science

Attempting to predict the spatial dynamics fish stocks, as required for management, is an ominous task given our incomplete understanding of biological and ecological mechanisms underpinning behavioral responses of fish. Large gaps still exist in our basic scientific knowledge. Nonetheless, the knowledge of fishers and fishery managers is not incorporated into our scientific analyses, even though such information is rich in observation since knowledge of fish behavior and distribution is a prerequisite for their profession. Combining such observations with more conventional scientific studies and theoretical interpretations provides a means by which we may bridge some gaps in our knowledge. Presented here is an example of how both local and scientific knowledge can be integrated in a heuristic model. The model, CLUPEX, is developed in the framework of a fuzzy logic expert system and uses linguistic statements written in natural language to capture and combine knowledge sources in the form of IF … THEN rules. The rules are inferred from interviews with experts and fishery professionals including fishers, fishery managers, scientists, and First Nations people. The knowledge base, comprised of the set of rules, is flexible in the sense that it can easily be modified to add additional information or change current information. Using input pertaining to biotic and abiotic environmental conditions, CLUPEX uses the rules to provide quantitative and qualitative predictions on the structure, dynamics and mesoscale distribution of shoals of migratory adult herring during different life stages of their annual life cycle.     

A GIS-based protocol for the collection and use of local knowledge in fisheries management planning

Despite a heavy reliance on scientific knowledge as the primary source of information in resource management, many resources are in decline, particularly in fisheries. To try and combat this trend, researchers have drawn upon the knowledge of local resource users as an important supplement to scientific knowledge in designing and implementing management strategies. The integration of local knowledge with scientific knowledge for marine species management, however, is problematic stemming primarily from conflicting data types. This paper considers the use of spatial information technology as a medium to integrate and visualise spatial distributions of both quantitative scientific data and qualitative local knowledge for the purposes of producing valid and locally relevant fisheries management plans. In this context, the paper presents a detailed protocol for the collection and subsequent use of local knowledge in fisheries management planning using geographic information systems (GIS). Particular attention is paid to the use of local knowledge in resource management, accuracy issues associated with the incorporation of qualitative data into a quantitative environment, base map selection and construction, and map bias or errors associated with the accuracy of recording harvest locations on paper map sheets, given the complications of map scale.     

Using citizen science in environmental justice: participation and decision-making in a Southern California waste facility siting conflict

Uses of science by environmental justice (EJ) activists reflect struggles to challenge professional scientific expertise, achieve fair outcomes, and effectively participate in decision-making processes. This qualitative research analyses the relationship between citizen science and EJ in a new waste facility siting conflict in urban Los Angeles, namely connections between citizen science and four dimensions of EJ: fair distribution, respect and recognition, participation in decision-making, and community capabilities. Citizen science is one tactic in EJ, yet little research investigates its role in a new facility siting conflict, particularly in relation to multi-faceted EJ goals. The research reveals opportunities for individual empowerment and community capacity building using citizen science, and a small measure of improved respect and recognition for participants who brought their own knowledge, research, and voices to the table. At the same time, the work identifies limitations on citizen science to improve local participatory procedures and decision-making, which also constricted the achievement of outcomes most desired by the EJ group: to prevent approval and construction of the new waste facility. This paper argues that uses of citizen science contributed to partial achievement of EJ goals, while hindered by governance processes that call for public participation yet shield decision-makers from substantive engagement with the volume or content of that participation.     

HOW CLIMATE UNCERTAINTY SHOULD BE INCLUDED IN GREAT LAKES MANAGEMENT: MODELING WORKSHOP RESULTS1

ABSTRACT: In two workshops, we evaluated decision analysis methods for comparing Lake Erie levels management alternatives under climate change uncertainty. In particular, we wanted to see how acceptable and effective those methods could be in a public planning setting. The methods evaluated included simulation modeling, scenario analysis, decision trees and structured group discussions. We evaluated the methods by interviewing the workshop participants before and after the workshops. The participants, who were experienced Great Lakes water resources managers, concluded that simulation modeling is user-friendly enough to enable scenario analysis even in workshop settings for large public planning studies. They felt that simulation modeling can improve not only understanding of the system, but also of the options for managing it. Scenario analysis revealed that the decision for the case study, Lake Erie water level regulation, could be altered by the likelihood of climate change. The participants also recommended that structured group discussions be used in public planning settings to elicit ideas and opinions. On the other hand, the participants were less optimistic about decision trees because they felt that the public might view subjective probabilities as difficult to understand and subject to manipulation.     

Caring for country through participatory art: creating a boundary object for communicating Indigenous knowledge and values

The trend towards the inclusion of diverse groups in environmental decision-making has led to the need to explore new forms of communication to engage communities in expressing their values and aspirations. Participatory art as an emergent methodology was explored with Traditional Owner groups involved in policy development through the Girringun Aboriginal Corporation in northern Queensland, Australia. The works began with a moderated focus group exploring the theme What does caring for country mean to you? Participants then worked collaboratively on one canvas over some six weeks. Individual expressions were discussed with participants during and following their creation. Themes emerging from the focus group and painting workshop included those related to culture, well-being, environment, politics, and holism, which was central to the discussions. The common thread of the work was that people need to interact with country in order to care for country.     

“Talking of citizenship … ” Exploring the contribution an intergenerational,participatory learning project can make to the promotion of active citizenship in sustainable communities

The value of participating in community projects for the creation of a sustainable community is widely recognised but there remains little research into the multiple dispositions, knowledge, and competencies necessary for building and maintaining such a community. This article examines a small intergenerational social learning project that brought together students from a local community college and members of the town community association to explore the concept of sustainability-focused citizenship. The project was founded on themes of active citizenship, social learning, and intergenerational interaction, and was jointly evaluated by the participants and the researcher. This article presents two key ways in which this community-based learning project contributed to the promotion of citizenship for a sustainable community – firstly, as effective preparation for citizenship for sustainability, through the development of knowledge, disposition, and competencies, and secondly, in the performance of citizenship during the course of the workshops, through the encounter with, and negotiation of, difference.     

The Carbon Dioxide Reduction Workshop: Dutch Experiences with a Participatory Approach

This paper investigates the potential of a method for participatory policy making in the field of carbon dioxide (CO 2 ) reduction in housing: the CO 2 reduction workshop. This innovative method aims to involve relevant actors at an early stage of urban development and to formulate common ambitions for CO 2 reduction. Special attention is paid to the inputting of information about options for CO 2 reduction. The workshop was organized and evaluated in two planning processes for new housing estates in the Netherlands. The evaluation addresses the design of the workshop, the utilization of knowledge in the process, the effects of the workshop on the commitment and knowledge of the participants and the effects on the wider planning process.     

Developing the scientific basis for assessing cumulative effects of wetland loss and degradation on landscape functions: Status,perspectives, and prospects

The incongruity between the regional and national scales at which wetland losses are occurring, and the project-specific scale at which wetlands are regulated and studied, has become obvious. This article presents a synthesis of recent efforts by the US Environmental Protection Agency and the Ecosystems Research Center at Cornell University to bring wetland science and regulation into alignment with the reality of the cumulative effects of wetland loss and degradation on entire landscapes and regions. The synthesis is drawn from the other articles in this volume, the workshop that initiated them, and the scientific literature. It summarizes the status of our present scientific understanding, discusses means by which to actualize the existing potential for matching the scales of research and regulation with the scales at which effects are observed, and provides guidelines for building a stronger scientific base for landscape-level assessments of cumulative effects. It also provides the outlines for a synoptic and qualitative approach to cumulative effects assessment based on a reexamination of the generic assessment framework we proposed elsewhere in this volume.The primary conclusion to be drawn from the articles and the workshop is that a sound scientific basis for regulation will not come merely from acquiring more information on more variables. It will come from recognizing that a perceptual shift to larger temporal, spatial, and organizational scales is overdue. The shift in scale will dictate different—not necessarily more—variables to be measured in future wetland research and considered in wetland regulation.     

Reflecting on stakeholders’ perceptions in an Ecological Risk Assessment workshop: Lessons for practitioners

A new form of Ecological Risk Assessment aims to improve environmental decision-making through strong stakeholder engagement, often in workshop situations. This wider focus increases interaction between workshop practitioners and stakeholders for reflecting on, and learning from, each others perceptions. In this article, we analyse and discuss a one day workshop that was concerned with trialling this method of deriving an Ecological Risk Assessment. We found that stakeholders had issues with some elements of the workshop process. The decision problem was formulated prior to the workshop and without consultation among all the stakeholders. Consequently, the original decision problem was rejected for a mutually derived broader focus and this resulted in a loss of clarity and purpose. Stakeholders did not wholly concur with the prioritising of ecological values over social and economic values and some stakeholders objected to defining assessment endpoints, because it implies a reductionist approach that doesn’t capture significance and understanding of systems. Ecological Risk Assessment workshops are complex and require significant practitioner and stakeholder development to provide useful and mutually derived outcomes.     

An End-Users Oriented Methodology for Enhancing the Integration of Knowledge on Soil–Water-Sediment Systems in River Basin Management: An Illustration from the AquaTerra Project

Research results in environmental and socio-economic sciences are often under-used by stakeholders involved in the management of natural resources. To minimise this gap, the FP6 EU interdisciplinary project AquaTerra (AT) developed an end-users’ integration methodology in order to ensure that the data, knowledge and tools related to the soil–water-sediment system that were generated by the project were delivered in a meaningful way for end-users, thus improving their uptake. The methodology and examples of its application are presented in this paper. From the 408 project deliverables, 96 key findings were identified, 53 related to data and knowledge, and 43 describing advanced tools. River Basin Management (RBM) stakeholders workshops identified 8 main RBM issues and 25 specific stakeholders’ questions related to RBM which were classified into seven groups of cross-cutting issues, namely scale, climate change, non-climatic change, the need for systemic approaches, communication and participation, international and inter-basin coordination and collaboration, and the implementation of the Water Framework Directive. The integration methodology enabled an assessment of how AT key findings meet stakeholders’ demands, and for each main RBM issue and for each specific question, described the added-value of the AT project in terms of knowledge and tools generated, key parameters to consider, and recommendations that can be made to stakeholders and the wider scientific community. Added value and limitations of the integration methodology and its outcomes are discussed and recommendations are provided to further improve integration methodology and bridge the gaps between scientific research data and their potential uptake by end-users.     

A Decision Support Framework for Science-Based, Multi-Stakeholder Deliberation: A Coral Reef Example

We present a decision support framework for science-based assessment and multi-stakeholder deliberation. The framework consists of two parts: a DPSIR (Drivers–Pressures–States–Impacts–Responses) analysis to identify the important causal relationships among anthropogenic environmental stressors, processes, and outcomes; and a Decision Landscape analysis to depict the legal, social, and institutional dimensions of environmental decisions. The Decision Landscape incorporates interactions among government agencies, regulated businesses, non-government organizations, and other stakeholders. It also identifies where scientific information regarding environmental processes is collected and transmitted to improve knowledge about elements of the DPSIR and to improve the scientific basis for decisions. Our application of the decision support framework to coral reef protection and restoration in the Florida Keys focusing on anthropogenic stressors, such as wastewater, proved to be successful and offered several insights. Using information from a management plan, it was possible to capture the current state of the science with a DPSIR analysis as well as important decision options, decision makers and applicable laws with a the Decision Landscape analysis. A structured elicitation of values and beliefs conducted at a coral reef management workshop held in Key West, Florida provided a diversity of opinion and also indicated a prioritization of several environmental stressors affecting coral reef health. The integrated DPSIR/Decision landscape framework for the Florida Keys developed based on the elicited opinion and the DPSIR analysis can be used to inform management decisions, to reveal the role that further scientific information and research might play to populate the framework, and to facilitate better-informed agreement among participants.     

A method for assessing environmental risk: A case study of Green Bay,Lake Michigan,USA

The Science Advisory Board of the US Environmental Protection Agency has recommended that risk reduction strategies become the centerpiece of environmental protection. The goal in developing such strategies is to identify opportunities for greatest reduction of ecological risks. This is a perspective that is significantly more comprehensive than the traditional focus on human health risks arising from environmental degradation. The identification of ecological risks upon which environmental protection efforts should be focused requires an ecological risk assessment methodology that is based on anthropogenic stressors affecting an ecosystem and a set of impaired use criteria. A methodology based on this concept is developed and discussed in this article. The methodology requires that risk values be assigned to each ecosystem stressor-impaired use pair that reflect the degree to which the given stressor contributes to ecosystem risk as measured by the given impaired use criterion. Once these data are available, mathematical analyses based on concepts from fuzzy set theory are performed to obtain a ranking of ecosystem stressors. The methodology has been tested by applying it to a case study involving Green Bay of Lake Michigan. A workshop was held in which 11 persons with extensive knowledge of the Green Bay ecosystem determined risk values through a group-consensus process. The analytical portion of the methodology was then used to rank the ecosystem risks (stressors) from several perspectives, including prevention management and remediation management. The overall conclusion of the workshop participants was that the fuzzy set decision model is a useful and effective methodology for differentiating environmental risk.