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Solving the Mystery of MPA Performance: linking governance, biodiversity conservation, & poverty Working Draft. Mike Mascia, Helen Fox, & Al Lombana WWF Conservation Science Program. Overview. Background Conceptual framework Research options Moving forward. Marine protected areas.
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Solving the Mystery of MPA Performance:linking governance, biodiversity conservation, & povertyWorking Draft Mike Mascia, Helen Fox, & Al Lombana WWF Conservation Science Program
Overview • Background • Conceptual framework • Research options • Moving forward
Marine protected areas Marine reserves Open access Multiple use (not zoned) Multiple use (zoned) Nonconsumptive use only No human use Definitions Source: redrawn from Mascia (2004).
Marine Protected Area (MPA) coverage ~4600 MPAs Source: MPA global
MPA growth Source: MPA global
The MPA debate Proponents • MPAs benefit both fish & fishermen Opponents • MPAs place fish before fishermen Evidence? • Varies • Largely anecdotal • Causality unclear
3 key questions What are the social impacts of MPAs? • Monitoring & evaluation/management effectiveness • Describe outcomes What determines MPAsocial impacts? • Scientific research • Explain outcomes How should we design MPAs to alleviate poverty? • Conservation policy • Deliver outcomes
Fisheries Science (from Ward, Heinemann & Evans 2001)
Contextual variables Political Theory MPA governance Resource use patterns Biological condition Social condition
MPA governance User demographics Population size Decision making arrangements Wealth Catch x effort Resources used Biomass Health Mortality x habitat Location of use Empower- ment Monitoring & enforcement systems Richness Education Timing of use Diversity Mode of use Cultural environment Contextual variables Climate change Economic environment Political environment Demo- graphics Pollution & sediment’n Ecosystem type Resource use patterns Biological condition Social condition Resource use rights Rules x compliance Conflict resolution mechanisms
MPA governance Decision-making arrangements • Users participate in decisions-making • Users may self-govern resource use Resource use rights • Resource users defined clearly • Resources defined clearly • User costs-benefits ratio roughly proportional • Use rights linked to local conditions Monitoring and enforcement systems • Monitors assess resource conditions • Monitors assess user behavior • Monitors are or accountable to users • Sanctions for noncompliance likely • Sanctions for noncompliance graduated • Sanctions for noncompliance context-dependent Conflict resolution mechanisms • Conflict resolution mechanisms accessible to users • Conflict resolution mechanisms accessible to officials
Social condition Wealth • Income • Material assets • Natural assets • Food security Health • Nutrition • Infant mortality • Childhood stunting Political empowerment • Resource control • Involvement in broader political activities Education • School attendance
Research options Survey MPA managers Mgmt. effectiveness meta-analysis Field-based retrospective Field-based prospective Less cost turn around time precision predictive power More
Moving forward WWF • Indicator review & framework development • Global lit review of MPA social impacts • Natural experiments to explain MPA performance SCB Social Science Working Group (SSWG) • Online catalog of social science tools • SCB 2007 • symposiums • workshops • short courses • Working paper series • Discussion list
Global survey Concept: • examine governance-performance links based on collection & analysis ofMPA managers’ perceptions • survey specific MPAs/MPA managers • provide constrained-choice responses • use statistical data analysis Pros & Cons • rapid, inexpensive, powerful • no context, may miss subtleties, possible response bias Example: • Bruner, et al. 2001. Effectiveness of parks in protecting tropical biodiversity. Science 291: 125-128.
Management Effectiveness meta-analysis Concept: • Analyze existing assessments of MPAs for links between governance, biophysical, and socioeconomic indicators • Regional: East Africa • Global: How is your MPA doing? Pros & Cons • data from a variety of sites, potentially very useful • data quality, data access, indicator quality Example: • Halpern, B.S. 2003 The impact of marine reserves: do reserves work and does reserve size matter? Ecological Applications
Retrospective field research Concept: • measure MPA governance-performance links through field-based reconstruction of historic patterns and trends • construct natural experiments • employ mixed methods • use statistical data analysis Pros & Cons: • relatively quick and inexpensive, rigorous, powerful • logistically complex, difficult to fund? Example: • Cinner, et al. 2005. Conservation and community benefits from traditional coral reef management at Ahus Island, Papua New Guinea. Conservation Biology 19(6): 1714-1723.
Field-based prospective: Windows of opportunity Concept: • obtain baseline data as MPAs are established, measure changes in social and ecological indicators • “before” data: Primeiras and Segundas, Tun Mustafa • still early: Quirimbas Pros & Cons: • most rigorous “proof” of effects, indicator quality control • long-term, expensive, low power Example: • Apo Island, Philippines
Resource use patterns MPA governance Biological condition Social condition User demographics Population size Decision making arrangements Wealth Resources used Biomass Health Location of use Empower- ment Monitoring & enforcement systems Richness Education Timing of use Diversity Mode of use Cultural environment Contextual variables Climate change Economic environment Political environment Demo- graphics Pollution & sediment’n Ecosystem type Catch x effort Resource use rights Mortality x habitat Rules x compliance Conflict resolution mechanisms