Solving the mystery of marine protected area (MPA) performance: linking governance, conservation, ecosystem services, and human well being. A Pursuit part of the Theme Informing sustainability and adaptation decisions through assessment and modeling of ecosystem services, at the Social-Environmental Synthesis Center (www.sesync.org) Annapolis MD PIs: Helen Fox (helen.fox@wwfus.org), Director of Marine Science, Conservation Science Program, WWF-US, Robert Pomeroy, Department of Agricultural and Resource Economics/Connecticut Sea Grant Program, University of Connecticut Avery Point Campus, robert.pomeroy@uconn.edu Summary of Working Group 1 (Feb 26-28, 2013) As awareness of the importance of marine ecosystem services grows, so too does the recognition that better governance of social-ecological systems (SES) is critical to sustainability. The first step when our interdisciplinary team (see participant list & http://www.sesync.org/blog/tue2013-03-12-0909/solving-the-mystery-of-marine-protected-area-performance ) met with the goal of unpacking the links between marine protected area (MPA) governance and ecosystem structure, function, and services was to determine the focusing questions for our pursuit. These are, “How do marine governance regimes impact social-ecological systems?” and “What variables predict social and ecological impact?” We developed a cross-disciplinary theoretical framework and a common analytic platform that draws upon the seminal work of Elinor Ostrom. We also articulated several work streams to document the social and ecological impacts of MPAs at local, regional, and global scales by synthesizing existing interdisciplinary monitoring data from hundreds of MPAs. Through this work, we will generate scientific insights that we will publish as high profile research papers as outputs as well as develop policy pieces to inform marine resource deliberations. Numerous datasets have been collected by myriad MPA managers and scientists, but their collective power and emergent insights for both science and policy have not yet been tapped. Moreover, we will address a critical but under-recognized obstacle to adaptive management: the absence of a platform to turn raw MPA monitoring data into actionable information. We envision developing and widely distributing an open-source MPA monitoring database to MPA managers, who often struggle to effectively store, manage, process, and analyze monitoring data – especially in developing countries. Widespread adoption of this database would establish a new standard for increasingly rigorous monitoring of MPAs, empowering MPA managers and fostering adaptive management. Through the synthesis of existing information that links MPA governance, ecosystem services, and human well-being, novel insights will emerge that advance fundamental scientific knowledge and inform local-toglobal policy and practice. World Wildlife Fund 1250 Twenty-Fourth St., NW Washington, DC 20037-1132 USA Tel: 202.495.4793 Fax: 202.293.9211 www.worldwildlife.org Affiliated with World Wide Fund for Nature Outputs We formed several small groups to initially discuss, and then develop work plans for outputs ranging from a broad conceptual manuscript to introduce our framework, to identifying “lowhanging fruit” for discrete proof-of-concept analyses. Brief summaries (with main contacts) for these projects are below. 1. A Framework for Inquiry and Action (Mike Mascia, Bob Pomeroy) Scientists have not yet developed a convincing explanation for the variations in social and biological performance witnessed among MPAs. As a result, decision makers set marine resource policy in ignorance, not knowing whether their choices will benefit people, the environment, or both. We will build upon prior work to propose an analytic framework for explaining variation in the biological and social impacts of MPAs. This framework provides the analytic basis for decision-makers to design more effective MPAs and for scientists to conduct research that explains variation in MPA performance, laying the foundation for a generation of MPAs that alleviate poverty while conserving biodiversity. Our intent is to submit a manuscript for peer-reviewed publication by August, 2013, as the first output of the SESYNC MPA working group. We expect that this framework will inform SESYNC analyses and perhaps MPA policy debates. 2. Developing the database (Carly Strasser, Emily Darling) The role of database management will be to collect and clean the variables of interest into a working format for analysis. After the list of social, economic and ecological variables has been compiled, we will identify datasets that can provide these data, compile metadata for each dataset and plan how to link and hook the datasets together using identity ‘keys’. Datasets will then be downloaded as Excel files, standardized into a working format, and identity keys will be added to each dataset. The datasets will then be added into an Access relational database that can be queried and used for analysis. In the big picture as a long-term goal, we can discuss the creation of a legacy database from this project that can be online and open access and facilitate the addition of new datasets for other users. We envision that much this work will be undertaken with the assistance of a distributed graduate seminar, an intern, or graduate students and postdocs associated with working group members. 3. Links between management input and biological outcomes Consolidate datasets and correlation analysis between Living Planet Index outcome datasets and (Olaf Jensen, Hannah Thomas, Stephen Woodley) We have a have a common interest in understanding the effectiveness of marine protected areas in conserving biodiversity and providing benefits to communities with UNEP-WCMC and IUCN’s WCPA-SSC Joint Task Force on Biodiversity and Protected Areas. The science underpinning the “reserve effect” of MPAs is well developed, but there has been no analysis of how management input to MPAs affects, or does not affect, biological outcomes in terms of species trends within similar reserves. Under the Joint Task Force, work has been done to address this question in the terrestrial realm but so far no attempt has been made to specifically link assessments of the outcomes of MPAs (e.g. marine species response data) to their scores on disparate management assessment information for MPAs (e.g. METT/PAME scorecards). This project will expand techniques and expertise developed with the terrestrial assessment to critically evaluate, adapt and apply these methods to the marine environment, linking freshly 2 collated and up-to-date species and management information. This is an important element of the ‘effectiveness debate’ and is an urgent priority to address in the lead up to the 5th World Parks Congress that will be held in Australia in November 2014. 4. Mining US data: SOCMON, NOAA, & US Coral Reef Task Force (Susie Holst, Xavier Basurto) There are over 8000 Marine Protected Areas (MPAs) globally and for many of these sites data has been collected for various purposes across several disciplines. Thus far these data collection efforts have primarily been discrete, so to a large extent sharing data across disciplines has not occurred and few cross-discipline analyses have been performed. We will explore what types of biological/ecological, socio-economic, management capacity, and governance related-data are easily available for MPAs and work collaboratively with the entities holding these data sets to begin investigating how these factors inter-relate. Through investments made by NOAA’s Coral Reef Conservation Program, data exists for many of these disciplines in US Domestic coral reef areas and neighboring international sites. We will start the analyses with those MPAs where two or more of the following datasets exist: biological, socio-economic, and management capacity. Biological monitoring has been an ongoing priority for NOAA and spatial coverage of this type of data is greatest. The Global Socioeconomic Monitoring Initiative for Coastal Management (SocMon) works through regional and local partners to facilitate community-based socioeconomic monitoring and has received substantial support from NOAA. Household and community level data are collected to inform dependence on coral reef resources, perceptions of resource conditions, threats to marine and coastal resources, and support for marine management strategies such as marine protected areas. Additionally, in a recent push to better understand the institutional and management capacity needs of MPAs, NOAA designed and implemented a simple tool via informational interviews with MPA site managers to understand where management gaps exist across 14 assessment areas believed to be crucial for a successful MPA management program. This effort has taken place at 20 MPAs domestically and over 30 sites in the Wider Caribbean. Overall, the purpose of this effort is to better understand if it is feasible to retrieve this data and use it to link governance and ecological performance. In addition, we will develop a variabledefinitions' dictionary to accompany the data collection instrument. This dictionary would be closely linked with the framework, which will provide guidance on how different variables would be related and organized. 5. How is Your MPA Doing? (Bob Pomeroy, John Parks) For example, the field monitoring tool “How is your MPA doing?” (HIYMPAD), is a site-level management effectiveness assessment guidebook with a comprehensive, data-driven methodology with region-specific adaptations (Pomeroy et al. 2004; 2005). As intended, these assessments have been useful to sites for clarifying, evaluating, and revising their management objectives (Pomeroy et al. 2004); however, the comparative power potentially available in such a global dataset has not yet been explored, although a pilot study revealed existing challenges to meta-analysis that this Pursuit would address. Governance, biophysical, and socioeconomic data from various MPAs have already been, and continue to be collected using HIYMPAD (even though the original hosting site, http://effectiveMPA.noaa.gov, has been discontinued). The empirical insights that could be derived from a synthesis of these data, much of it longitudinal, is well recognized by scholars and practitioners alike. 3 6. Case studies: Caribbean (Louise Glew, Gabby Ahmadia) and Hawaii Micro-Pilot (Ruth Gates, John Parks) As part of this inter-disciplinary research initiative to compile, integrate, and analyze governance, biophysical, and social data from MPAs across the globe, we are piloting methods and approaches for this work in two areas where we anticipate easier access to interdisciplinary data: the Greater Caribbean and Hawaii. We will crosswalk among governance, management assessment, social, ecological, and biophysical data to identify sites with data in common, collate and synthesize relevant social, ecological, and biophysical secondary data, and conduct basic statistical analyses to document and explore the relationship between marine resource governance, management assessments (effectiveness) and ecological outcomes. We anticipate scientific insights emerging that shed light on the role marine ecosystem services, including fisheries, coastal protection, and marine tourism play in the economies, livelihoods, and food security for the Greater Caribbean and Hawaii. We also anticipate insights from these case studies to inform the larger effort. Anticipated Results We anticipate this working group of global marine conservation experts will produce new insights for management and policy and cutting edge, high profile research papers as outputs. This research initiative will use data mining and advanced statistical techniques to analyze historic MPA monitoring datasets to document the social and ecological impacts of MPAs; explore tradeoffs, synergies, and equity among impacts; and document the relationship between MPA governance and impacts. Though previously monitoring efforts were rarely designed for cross-disciplinary or cross-site integration, we expect that our data mining and analyses will inform on-the-ground monitoring efforts and yield new policy-relevant insights. Modest investments in data mining and analyses would leverage tens of millions of dollars previously invested in MPA monitoring, refine and enhance ongoing on-the-water monitoring efforts, and mobilize the global marine conservation community around a shared understanding of MPA governance and performance. Next steps and ways to be involved Our next working group is scheduled for November 201, with the International Congress for Conservation Biology in July 2013 as another opportunity for communication around these issues. We are maintaining regular communication among small group team members and all participants through the SESYNC community website and bi-monthly updates of progress as the six small groups organized at the February meeting implement work plans for outputs. We are seeking additional resources to support a Post-Doctoral Fellow and provide funds to undertake work plans and complementary research. We are gathering information about existing databases and datasets for this Pursuit: Solving the mystery of marine protected area (MPA) performance: linking governance, conservation, ecosystem services, and human well-being. We anticipate multiple ways to be involved in these efforts beyond the core working groups. Please contact Helen.Fox@wwfus.org ; any assistance you can provide would be greatly appreciated. 4 Participants Our Working Group participants spanned various professions, institutions, ethnicities, and career levels, including representatives from academic, governmental, non-governmental, and private sectors. Their diverse backgrounds include biologists and ecologists, anthropologists, economists and other social scientists, and database and decision support specialists. Participant Name Helen Fox (PI) Robert Pomeroy (PI) Michael Mascia John Parks Olaf Jensen Stephen Woodley Wen Liang Carly Strasser Ruth Gates Patrick McConney Anne Henshaw Emily Darling Xavier Basurto Mateja Nenadovic Nur "Ismu" Hidayat Gonzalo Cid Susie Holst Louise Glew Gabby Ahmadia Affiliation WWF-US Conservation Science Program UConn- Ag and Resource Economics/ CT Sea Grant WWF-US Conservation Science Program Marine Management Solutions LLC Inst. of Marine & Coastal Science, Rutgers U. WCPA-SSC Joint Task Force on Biodiversity and Protected Areas U. of Michigan U. of California,California Digital Library HIMB/CRIMSON U. of West Indies Oak Foundation Simon Fraser University Duke U. Nicholas School of the Envt Duke U. Nicholas School of the Envt Conservation International-Indonesia NOAA-NOS Int’l Program Office NOAA Coral Reef Conservation Program WWF-US Conservation Science Program WWF-US Conservation Science Program Remote participants: Arun Agrawal U. of Michigan – School of Natural Resources & Envt. Sarah Lester UC, Santa Barbara – Sustainable Fisheries Group Hannah Thomas World Conservation Monitoring Centre Not able to attend WG1: Peter Mumby U. of Queensland – Marine Spatial Ecology Lab Nasser Olwero WWF-US Conservation Science Program 5 Email Helen.Fox@wwfus.org robert.pomeroy@uconn.edu michael.mascia@wwfus.org jeparks5@gmail.com olaf.p.jensen@gmail.com Stephen.WOODLEY@iucn.org wenliang@umich.edu carlystrasser@gmail.com rgates@hawaii.edu patrick.mcconney@cavehill.uwi.edu Anne.Henshaw@oakfnd.org esdarling@gmail.com Xavier.basurto@duke.edu mateja.nenadovic@duke.edu n.hidayat@conservation.org gonzalo.cid@noaa.gov susie.holst@noaa.gov louise.glew@wwfus.org gabby.ahmadia@wwfus.org arunagra@umich.edu lester@msi.ucsb.edu hannah.thomas@unep-wcmc.org p.j.mumby@uq.edu.au nasser.olwero@wwfus.org Fitry Pakiding Michael Webster Alan White UNIPA -- State U. of Papua Coral Reef Alliance The Nature Conservancy 6 fitryanti@yahoo.com mwebster@coral.org alan_white@tnc.org