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Stakeholders, Algorithms, and Marine Protected Area Design in California

Stakeholders, Algorithms, and Marine Protected Area Design in California. Carissa Klein, University of Queensland c.klein@uq.edu.au Charles Steinback, Ecotrust charles@ecotrust.org. Marine Life Protection Act Initiative. Working Groups Blue Ribbon Task Force Stakeholder Group

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Stakeholders, Algorithms, and Marine Protected Area Design in California

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  1. Stakeholders, Algorithms, and Marine Protected Area Design in California Carissa Klein, University of Queensland c.klein@uq.edu.au Charles Steinback, Ecotrust charles@ecotrust.org

  2. Marine Life Protection Act Initiative Working Groups • Blue Ribbon Task Force • Stakeholder Group • Science Advisory Team Pigeon Point Study Area Point Conception

  3. MLPA Goals & Objectives Biodiversity Conservation • Habitats across depth zones • Areas of high species diversity • Populations of special status Socioeconomic Viability • Minimize negative socioeconomic impacts

  4. Laura Francis Example Conservation Features Rocky reefs Kelp beds Estuaries Canyons Sandy bottom Surfgrass beds Sea otter habitat Mammal rookeries Bathymetric complexity Pinnacles Bird colonies Areas of high fish diversity Total = 47

  5. Consumptive Socioeconomic Data • Recreational Fishing Effort Trips per planning unit • Commercial Fishing Effort Relative importance to fishermen

  6. Expert Approach • Interest groups (fishing, conservation, etc.) developed proposals • Provided with biophysical data • Not provided with all fishing data • Proposals were evaluated by Scientific Advisory Team (biodiversity representation and impact to fisheries) • Using scientific feedback, stakeholders revised proposals

  7. Four Proposals 1 2 3 4

  8. Software Approach: MARXAN • 2.5 km2 planning units • Calculated how much of each feature was in each planning unit • Targeted same amount of each feature as stakeholder proposals • Minimize impact (“cost”) to 19 fisheries • Used BLM that gave solutions comparable in size to stakeholder proposals Monterey Morro Bay

  9. Spatial Compactness (BLM)

  10. Cost per Planning Unit • Relative impact reservation of a planning unit has on fishing effort • Equal weight to individual fisheries within commercial and recreational sector • Equal weight to sectors , , ,

  11. Individual Summed Solutions = + 100 Solutions

  12. Expert and Marxan Summed Solution

  13. Effort lost

  14. Relative effort lost per unit area

  15. Cost vs. MARXAN Output Monterey Monterey Cost: Area & Fishing Effort

  16. Priority Areas Included? • Proposal 1 – 96.7% • Proposal 2 – 70.8% • Proposal 3 – 76.9% • Proposal 4 – 87.7%

  17. Caveats • Marxan solutions assume exclusion of all fishing • Assumes that effort is not redistributed after conservation • Data quality and scale

  18. Conclusions Fishermen designed the most cost-effective solutions • Local/Expert knowledge • Data availability may lead to more efficient proposals Marxan solutions were more efficient than stakeholder proposals Marxan solutions do not reveal sensitive socioeconomic information Good tool to support, NOT replace, stakeholder driven process Photo: Gretchen Hoffman

  19. Acknowledgements Bruce Kendall, Satie Airamé, Astrid Scholz, Lindsay Kircher, Allison Chan, Amanda Cundiff, Nadia Gardner, Yvana Hrovat, Will McClintock, Fishermen, Fisherwomen, MLPA staff Photo: Gretchen Hoffman

  20. Photo: Gretchen Hoffman

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