Jessica E. Leahy

Social life cycle assessment of palm oil biodiesel: a case study in Jambi Province of Indonesia

PurposeThis study aims to investigate the social implications of palm oil biodiesel via a case study using a life cycle assessment framework.MethodsThe case study was conducted in Jambi Province of Indonesia and involved several stakeholders, such as value chain actors, employees, local community members, government, and nongovernmental organization representatives related in palm oil industry. The assessment was carried out using social criteria developed by adopting the Society of Environmental Toxicology and Chemistry/United Nations Environment Programme Code of Practice, supplemented by an expert survey, and supported by literature review. Stakeholders’ perspectives were evaluated by determining the gaps between expected and perceived quality of each social criterion, which are gauged using seven-point Likert scale.Results and discussionTwenty-four social criteria were developed and aggregated into five social impact categories: human rights, working condition, cultural heritage, social–economic repercussion, and governance. These criteria have been weighted, useful for further application in multicriteria decision analysis. The results of the stakeholders’ survey reveal the critical social hotspots, which are the issues within the impact categories of working conditions and cultural heritage.ConclusionsIn order to achieve the social equitability of palm oil biodiesel, which is an important pillar to sustainability, efforts must be put to address these social hotspots through actions in various policy level.

Community/Agency Trust and Public Involvement in Resource Planning

We hypothesize and test a positive relationship between the extent to which local community members trust a management agency and their willingness to engage in resource-related public discourse and involvement. We employ a multilevel generalized mixed model to analyze data collected from five different samples of residents living near managed resource areas. Counter to our proposed hypotheses, results suggest individuals’ level of dispositional trust, their belief that management shares similar values as them, and their trust in the moral competency of the management agency were all found to be significantly and negatively related to public involvement in resource-related activities. These findings suggest that the central role of building trust among local constituents within many planning frameworks needs to be reconsidered with consideration given to both the needs of individuals who trust an agency and the desires of distrusting individuals who are more likely to become involved in public involvement efforts.

Using Mixed Methods to Develop a Frame-Based Private Landowner Typology

An important goal of community-based management is to engage a wider network of stakeholders in conservation and management decisions. Using mixed methods, we constructed a frame-based private landowner typology to identify landowner response patterns to vernal pool conservation and management in Maine. Drawing on data from interviews and focus groups, we identified two opposing frames that described landowner views on vernal pools (personal gain and personal loss). A mail survey identified three groups of private landowners (Supportive, Uncertain, and Opposing) with similar sociodemographic and property variables but different aesthetic preferences, economic concerns, and views on property rights and conservation. Our results suggest that frame-based typologies are useful for enhancing communications with different landowner groups and in identifying trusted information sources and communication preferences. Our approach represents a critical first step toward understanding and integrating a range of landowner perspectives into conservation practice and enhancing private landowner cooperation in proactive planning.

Community/Agency Trust: A Measurement Instrument

Many natural resource management agencies invest considerable time and financial resources into building relationships with their constituents. Theoretically, the building of trust produces a relationship that leads to socially acceptable planning and positive management outcomes. Despite the central role trust plays in natural resource management, empirical attempts to measure the construct have been limited. This research note presents the development and validation of a psychometric instrument intended to measure the trust held by local community members living adjacent to managed natural resource areas. The instrument is based in current theory, and exhibits reliable and valid psychometric properties when applied to different study populations. Our intention is to provide an accepted instrument through which knowledge regarding the unique dimensions of community/agency trust, and the entire trust construct as a whole, can be furthered.

Agent-Based Modeling of Harvest Decisions by Small Scale Forest Landowners in Maine, USA

Small-scale forests are an excellent example of coupled social-ecological systems, which involve human and biophysical subsystems with complex two-way feedback interactions. The multifaceted nature of landowner decisions drives a significant need to better understand decision-making processes, reactions to policy, and combined impacts on ecosystems in a comprehensive manner. Small-scale forests require an integrated approach to modeling the social and biophysical components comprehensively. Agent-based modeling involves modeling individualistic behavior and interpreting patterns that emerge. The interaction between agents and their environments makes this a valuable tool to assess repeated decisions of individual landowners responding to changing environmental conditions. Agent-based models can be used to determine potential ecological, economic, and social outcomes of landowner decisions and reactions to changing conditions. A forest landowner agent-based model experiment was developed to model timber harvesting in Maine, USA. We present baseline simulation results and compare the effect of a social change (an increased tax rate) and a biophysical change (a pest outbreak resulting in increased tree mortality) on the system. These three scenarios were analyzed using ANOVA and MANOVA tests on harvested hectares and landowner goal scores to assess landowner behavior and priorities by action. We conclude by reviewing implications for future modeling efforts.

Knowledge to Action: Investigating Implicit Knowledge Production Models Held Among Forest Science Researchers

Criticisms of conventional knowledge production systems target their inability to address complex issues involving natural resources. In response, several researchers have adopted participatory research methodologies, incorporating more holistic problem-solving approaches that greatly value the knowledge and abilities of stakeholders. This case study explores forest science researchers engagement strategies with stakeholders and how researchers can incorporate alternative approaches to knowledge production. We conducted semistructured interviews with forest science researchers, asking direct questions about how they define and work with stakeholders. Analysis revealed a great awareness among researchers for the need to cooperate with stakeholders and to incorporate their knowledge and abilities into the research process, as well as lamentations over structural, institutional, and resource limitations inhibiting the adoption of these practices. Our results reveal both how forest science researchers and institutes work with stakeholders and how they can better incorporate these stakeholder engagement methodologies into their research practices.

Improving Family Forest Knowledge Transfer through Social Network Analysis.

To better engage Maines family forest landowners our study used social network analysis: a computational social science method for identifying stakeholders, evaluating models of engagement, and targeting areas for enhanced partnerships. Interviews with researchers associated with a research center were conducted to identify how social network analysis could improve knowledge transfer in the researcher–stakeholder relationship. Analysis found a large network of family forest stakeholders and organizations in Maine. We recommended that the research center use this information to enhance its role as a boundary organization, facilitating communication among researchers, stakeholders, and their organizations to better address the wicked problems facing family forests.