Acceptability, conflict, and support for coastal resource management policies and initiatives in Cebu, Philippines

2010 Fall.Includes bibliographical references.Efforts to address the decline of coastal and habitat resources by Coastal Resource Management (CRM) initiatives are done via application of frameworks such as Integrated Coastal Management (ICM) and Ecosystem Based Management (EBM). Recent literature stresses the necessity to complement biological monitoring with social science monitoring of coastal areas by applying social science concepts in CRM. Linkages between social science concepts such as a conflict, acceptance, and public support for CRM with research themes of governance, communities, and socioeconomics are crucial for advancing our understanding of the social success of CRM initiatives. In light of the scholarly and applied need, this thesis focuses on analyzing stakeholder perceptions, conflict, and public support for CRM policies and initiatives in Southern Cebu, Philippines. In particular, this thesis examines stakeholder attitudes and normative beliefs of CRM scenarios, and links these perceptions with public support of CRM policies and initiatives implemented at the levels of the community, municipality, and the Marine Protected Area (MPA) Network. This thesis presents two manuscripts applying qualitative and quantitative social science methods for understanding stakeholder perceptions of conflict, acceptance, and public support for CRM policies. The first manuscript applies the Potential for Conflict Index (PCI2), a statistic that graphically displays the amount of consensus and the potential for conflict to occur in a CRM scenario. Specifically, the PCI2 displays fishers' normative beliefs concerning their consensus and acceptability of CRM policies and initiatives. Face-to-face interviews with fishers serve as data for calculating the PCI2. This manuscript compares fishers' normative beliefs concerning their evaluations of CRM policies among the municipalities of Oslob, Santander, and Samboan in Southern Cebu. Overall, fishers' differing evaluations reflects the way CRM is implemented and enforced in each of these municipalities. Fishers' evaluations allow local governments to understand acceptability of CRM policies as well as make better management decisions concerning policy compliance, consensus for policies, and conflict within a municipality. The second manuscript of this thesis applies qualitative conflict mapping methods to the investigation of institutional conflict and accountability within a coastal municipality in Southern Cebu. Using in-depth interviews, conflict mapping methods enables the analysis of stakeholder attitudes of institutional conflict and accountability for CRM. This manuscript investigates institutional relationships among stakeholders accountable for CRM. Lastly, this manuscript examines how institutional relationships and stakeholder perceptions affect CRM at the community, municipality, and the MPA Network. The interpretive analysis reveals that conflicts concerning institutional accountability for CRM are often at the root of problems for implementing and enforcing coastal management initiatives and policies within the different communities of the municipality. Theoretical implications of this thesis include the application of normative theories and qualitative conflict analysis frameworks for understanding stakeholder perceptions of conflict and public support for CRM initiatives. Managerial applications of this thesis include the use of quantitative (PCI2) and qualitative (conflict mapping) social science monitoring methods applicable for understanding social science concepts such as stakeholder perceptions, conflict, and public support for CRM policies and initiatives. Future studies could include the combined use of PCI2 and conflict mapping as complementary research methods for investigating collaborative local government decision making processes crucial for the social success of CRM initiatives

Knowledge integration in transdisciplinary research: a case study of the socio-ecological complexity project

Includes bibliographical references.2015 Fall.Knowledge integration has been crucial for gaining a holistic picture of the inner workings of socio-ecological systems. Integrating local and scientific knowledge sustains biological and global cultural diversity, and may fill gaps in understanding that cannot be elucidated by individual scientific disciplines. Interdisciplinary and transdisciplinary research teams face the challenge of collaborating and integrating their varying disciplinary paradigms and epistemologies along with stakeholders' local knowledge for understanding and adapting to global and local environmental issues. Communication and knowledge integration across funders, researchers, and research end-users in transdisciplinary research are critical for meeting diverse stakeholder needs and genuinely engaging multiple knowledge systems. These knowledge systems may include a combination of researcher and local ecological knowledge embedded in institutions, disciplines, and cultures. The purpose of this dissertation is to investigate and apply knowledge integration tools for examining socio-ecological systems and transdisciplinary research communication. Specifically, I examine the Socio-ecological Complexity (SEC) project as a case study. The SEC is a pseudonym for an actual project examining the role of Community-Based Rangeland Management (CBRM) institutions in influencing the resilience of Mongolian socio-ecological rangeland systems to climate change. I apply two tools for the integration of knowledge within SEC: participatory reflection and participatory mapping. I apply participatory reflection among the SEC research team and provide stakeholder engagement indicators for reflecting, communicating, and incorporating the needs of funders, researchers, and research end users as major stakeholder groups in transdisciplinary research. These specific indicators allow transdisciplinary research teams to assess the current level of knowledge integration, communicate and target stakeholder needs that may influence project outcomes in communicating their research. To integrate the local ecological knowledge (LEK) of research end users, I apply participatory mapping to explore herders' knowledge of their rangelands and their perceptions of socio-ecological boundaries imbedded in their pastures. The process of participatory mapping revealed emic narratives on physical and human demarcated boundaries influencing landscapes, adaptive practices, and local governance arrangements for accessing pasture resources. Participatory mapping and participatory reflection serve as tools for integrating and communicating diverse knowledge systems in transdisciplinary research. To examine how knowledge and world views may be communicated among diverse actors in transdisciplinary research, I provide a reflexive account of the role of voice in transdisciplinary fieldwork. My reflexive account reveals the complex network of actors and how identity, language, financial structures and hierarchy within a multi-cultural and transdisciplinary project shape actors' voices and opinions. The application of knowledge integration tools (participatory reflection and participatory mapping) and the open dialogue about the role of voice in transdisciplinary research provide diverse views for evaluating transdisciplinary research outcomes and analyzing coupled human-environment relationships in socio-ecological systems

Participatory mapping and herders' local knowledge on Mongolia's landscapes and socio-ecological boundaries

Includes bibliographical references.Presented at the Building resilience of Mongolian rangelands: a trans-disciplinary research conference held on June 9-10, 2015 in Ulaanbaatar, Mongolia.Socio-ecological boundaries delineate landscapes containing natural resources that are differentially accessed and managed by stakeholders. These boundaries may be human-demarcated and biophysical serving as tangible and intangible features delineating landscapes. Our purpose is to explore Mongolian herders' perceptions of their pasture and boundaries through participatory mapping processes. Our research questions include: 1) what boundaries are depicted on herders' participatory maps? and 2) how are boundaries discussed through herders' participatory mapping narratives? We conducted participatory mapping and informal interviews (n= 35) with herder groups and district officials in Arkhangai, Tuv, Dornod, and Dornogovi. We qualitatively coded participatory mapping narratives and applied visual grounded theory. Tangible features on participatory maps included economic, hydroclimatic, geomorphological, and ecological boundaries portrayed as springs, landforms, vegetation types, seasonal camps, wells, and roads. Non-physical intangible boundaries such as governance arrangements were evident in participatory mapping narratives and served as human demarcated boundaries for accessing seasonal camps, markets, government assistance, and resources for herder migration. The relationships among herder mobility, governance boundaries, and biophysical pasture boundaries are coupled and dynamic, resulting in multi-dimensional outcomes of herder livelihoods

Participatory mapping in Mongolia

ZIP file includes supporting materials for the project with a readme file.This record contains supporting documents associated with participatory mapping activities conducted as part of the Mongolian Rangelands and Resilience (MOR2) project. The collection of documents includes presentations, map images, a blog post, and a photo essay of the project

MOR2 database, The: building integrated datasets for social-ecological analysis across cultures and disciplines

Presented at the Building resilience of Mongolian rangelands: a trans-disciplinary research conference held on June 9-10, 2015 in Ulaanbaatar, Mongolia.This paper describes the construction of a complex database for social-ecological analysis in Mongolia. As a National Science Foundation (NSF)-funded Dynamics of Coupled Natural and Human (CNH) Systems, the Mongolian Rangelands and Resilience (MOR2) project focused on the vulnerability of Mongolian pastoral systems to climate change and adaptive capacity. To study this phenomenon, our team is made up of a group of hydrologists, social scientists, geographers, and ecologists collecting data across the Mongolian landscape over three years. This dataset is unique in that it captures multiple types of field data: ecological, hydrological and social science surveys; remotely-sensed data, participatory mapping, local documents, and scholarly literature. We describe the content, structure, and organization of the database and explain the development of data protocols and issues related to access and sharing. Descriptions of data analysis are included to demonstrate the utility of the database as well as its limitations. We conclude with a description of the challenges in creating a cross-cultural and multi-disciplinary database and lessons learned

Merging Indigenous Knowledge Systems and Station Observations to Estimate the Uncertainty of Precipitation Change in Central Mongolia

Across the globe, station-based meteorological data are analyzed to estimate the rate of change in precipitation. However, in sparsely populated regions, like Mongolia, stations are few and far between, leaving significant gaps in station-derived precipitation patterns across space and over time. We combined station data with the observations of herders, who live on the land and observe nature and its changes across the landscape. Station-based trends were computed with the Mann–Kendall significance and Theil–Sen rate of change tests. We surveyed herders about their observations of changes in rain and snowfall amounts, rain intensity, and days with snow, using a closed-ended questionnaire and also recorded their qualitative observations. Herder responses were summarized using the Potential for Conflict Index (PCI2), which computes the mean herder responses and their consensus. For one set of stations in the same forest steppe ecosystem, precipitation trends were similar and decreasing, and the herder-based PCI2 consensus score matched differences between stations. For the other station set, trends were less consistent and the PCI2 consensus did not match well, since the stations had different climates and ecologies. Herder and station-based uncertainties were more consistent for the snow variables than the rain variables. The combination of both data sources produced a robust estimate of climate change uncertainty