Andrew Rassweiler 1, Chris Costello 1, Dave Siegel 1, Giulio De Leo 2, Fiorenza Micheli 3, Andrew Rosenberg 4 1 - University of California Santa Barbara.

Slides:

Advertisements

Similar presentations

Nicolas Gutierrez, Olaf Jensen, Michael Melnychuk, & Suresh Sethi with Trevor Branch and Daniel Schindler UW School of Aquatic and Fishery Sciences The.

Advertisements

Stakeholders, Algorithms, and Marine Protected Area Design in California Carissa Klein, University of Queensland Charles Steinback, Ecotrust.

INDUSTRIAL ECONOMICS, INCORPORATED Oregon Coastal Atlas Coastal web atlases are among the best sources of GIS data for marine spatial planning Primary.

WHERE IS F3 IN MODELING LARVAL DISPERSAL? Satoshi Mitarai, David Siegel University of California, Santa Barbara, CA Kraig Winters Scripps Institution of.

Population Genetics Kellet’s whelk Kelletia kelletii mtDNA COI & 11 microsatellite markers 28 sampling sites across entire range larvae in each capsule.

Simulating Larval Dispersal in the Santa Barbara Channel James R. Watson 1, David A. Siegel 1, Satoshi Mitarai 1, Lie-Yauw Oey 2, Changming Dong 3 1 Institute.

ROMS Modeling for Marine Protected Area (MPA) Connectivity Satoshi Mitarai, Dave Siegel, James Watson (UCSB) Charles Dong & Jim McWilliams (UCLA) A biocomplexity.

Amanda Luna Mera ECL 212B H OW TO GET THERE FROM HERE : E COLOGICAL AND E CONOMIC DYNAMIC OF E COSYSTEM S ERVICE P ROVISION S ANCHIRICO AND S PRINGBORN,

Marine reserves and fishery profit: practical designs offer optimal solutions. Crow White, Bruce Kendall, Dave Siegel, and Chris Costello University of.

Modeling Larval Connectivity for the SoCal Bight Satoshi Mitarai, James Watson & David Siegel Institute for Computational Earth System Science University.

FISHING FOR PROFIT, NOT FISH: AN ECONOMIC ASSESSMENT OF MARINE RESERVE EFFECTS ON FISHERIES Crow White, Bruce Kendall, Dave Siegel, and Chris Costello.

Lagrangian Descriptions of Marine Larval Dispersion David A. Siegel Brian P. Kinlan Brian Gaylord Steven D. Gaines Institute for Computational Earth System.

A SCALING TOOL TO ACCOUNT FOR INHERENT STOCHASTICITY IN LARVAL DISPERSAL Mitarai S., Siegel D. A., Warner R.R., Kendall B.E., Gaines S.D., Costello C.J.

Citations 1.Poulain, P. M. and P. P. Niiler Statistical-Analysis of the Surface Circulation in the California Current System Using Satellite-Tracked.

Flow, Fish and Fishing 2007 All-Hands Meeting. F3’s Bottom Line… Larval transport is a stochastic process driven by coastal stirring Fish stocks, yields.

Marine reserves and fishery profit: practical designs offer optimal solutions. Crow White, Bruce Kendall, Dave Siegel, and Chris Costello University of.

Flow, Fish and Fishing 2006 All-Hands Meeting July UCSB.

Policy, Risk & Money – EBFM in Australian Commonwealth Fisheries Nick Rayns Executive Manager - Fisheries.

Population Dynamics in a Stirred, not Mixed, Ocean Bruce Kendall, David Siegel, Christopher Costello, Stephen Gaines, Ray Hilborn, Robert Warner, Kraig.

FISHING FOR PROFIT, NOT FISH: AN ECONOMIC ASSESSMENT OF MARINE RESERVE EFFECTS ON FISHERIES Crow White, Bruce Kendall, Dave Siegel, and Chris Costello.

Optimal Spatial Fishery Management for the Southern California Bight Dave Siegel, Chris Costello, Satoshi Mitarai (UCSB), Jim McWilliams & Charles Dong.

Marine reserve spacing and fishery yield: practical designs offer optimal solutions. Crow White, Bruce Kendall, Dave Siegel, and Chris Costello University.

Flow, Fish and Fishing: Building Spatial Fishing Scenarios Dave Siegel, James Watson, Chris Costello, Crow White, Satoshi Mitarai, Dan Kaffine, Will White,

Using Climate Information in Fisheries Stock Assessments (with a focus on Pacific Whiting) Ian Taylor SMA 550: Climate Impacts on the Pacific Northwest.

Spatial fisheries management in practice: an example.

Evaluating the proposed MPA designs under California MLPA using fully age and spatially structured models Ray Hilborn University of Washington.

Inherent Uncertainties in Nearshore Fisheries: The Biocomplexity of Flow, Fish and Fishing Dave Siegel 1, Satoshi Mitarai 1, Crow White 1, Heather Berkley.

Poaching and the Success of Marine Reserves Suresh A. Sethi School of Aquatic and Fisheries Sciences 7/06.

Will spatial property rights lead to ocean conservation? Christopher Costello Bren School – UC Santa Barbara California and the World Ocean September 9,

Inherent Uncertainties in Nearshore Fisheries: The Biocomplexity of Flow, Fish and Fishing Dave Siegel 1, Satoshi Mitarai 1, Crow White 1, Heather Berkley.

Image: Michael Robinson Geography Department UC Santa Barbara Fisherman Behavior and Fishery Management: A Cooperative Investigation.

Quantifying Connectivity in the Coastal Ocean With Application to the Southern California Bight Satoshi Mitarai, Dave Siegel, James Watson (UCSB) Charles.

Spatial Bioeconomics under Uncertainty (with Application) Christopher Costello* September, 2007 American Fisheries Society Annual Meeting San Francisco,

Image: Michael Robinson Geography Department UC Santa Barbara Fisherman Behavior and Fishery Management: A Cooperative Investigation.

Fishing in a stirred ocean: sustainable harvest can increase spatial variation in fish populations Heather Berkley Bruce Kendall, David Siegel, Christopher.

Fishing in a stirred ocean: sustainable harvest can increase spatial variation in fish populations Heather Berkley Bruce Kendall David Siegel.

Can property rights solve fisheries collapse? Christopher Costello* Associate Professor – Resource Economics Bren School Advisory Board Address: April.

Reserve design There’s a lot of crap out there We are in a position to inform how to do this intelligently.

Incorporating Ecosystem Objectives into Fisheries Management

MARINE PROTECTED AREAS. What Are MPAs? – Marine Protected Areas (MPAs) are geographic areas designated to protect or conserve marine life and habitat.

Kimberley Marine Research Program Chris Simpson Marine Science Program, DEC KMRP Node Leader, WAMSI Kelly Waples KMRP Science Co-ordinator WAMSI.

Climate Change: SEAFWA Thoughts? Ken Haddad, Executive Director Florida Fish and Wildlife Conservation Commission September 2007.

Spatial Fisheries Values in the Gulf of Alaska Matthew Berman Institute of Social and Economic Research University of Alaska Anchorage Ed Gregr Ryan Coatta.

The Marine Life Protection Act and Marine Protected Areas Of the Central Coast of California.

History of Marine Animal Populations. HMAP Executive Committee Chair: Poul Holm Trinity Long Room Hub, Trinity College Dublin Andrew A. Rosenberg Institute.

Spatial fisheries management for conservation and profitability Christopher Costello* University of California and National Bureau of Economic Research.

Partnership for Interdisciplinary Studies of Coastal Oceans PISCO.

Spatial management of renewable resources under uncertainty Preliminary results on the economics of coupled Flow, Fish and Fishing Christopher Costello*

Flow, Fish and Fishing Dave Siegel, Chris Costello, Steve Gaines, Bruce Kendall, Satoshi Mitarai & Bob Warner [UCSB] Ray Hilborn [UW] Steve Polasky [UMn]

Marine Conservation Marine protected areas and reserves.

Santa Barbara Coastal LTER & California’s Marine Protected Areas Dave Siegel University of California, Santa Barbara Santa Barbara Coastal LTER.

11 Spatial Bioeconomic Model Evaluation of Blue Ribbon Task Force Recommended Marine Protected Area Proposals for the North Coast Study Region Presentation.

Fisheries 101: Modeling and assessments to achieve sustainability Training Module July 2013.

Issues of Scale Both time & space – Time: waves, tides, day, year, ENSO – Space: local, regional, global Set how processes interact Scale invariance.

Steve Gaines Bren School of Environmental Science & Management Sustainable Fisheries Group UC Santa Barbara12 May 2011.

Science requirements for implementing EBM Rob Stephenson DFO, St. Andrews Biological Station.

Hydrodynamic Connectivity in Marine Population Dynamics Satoshi Mitarai 1, David A. Siegel 1, Bruce E. Kendall 1, Robert R. Warner 1, Steven D. Gaines.

Catch Shares Working for fish and fishermen. Getting our foundations right…

NATIONAL RESEARCH FLAGSHIPS Sustainable Australian Fisheries and Ecosystems Future Directions - Science Tony Smith Geelong Revisited.

Channel Islands National Marine Sanctuary: Advancing the Science and Policy of Marine Protected Areas Satie Airame Channel Islands National Marine Sanctuary.

Could spatial management of sea urchins increase fishery profits? Sarah Teck, Nick Shears, Sarah Rathbone, Steve Gaines Department of Ecology, Evolution,

Effects of Measurement Uncertainties on Adaptive Source Characterization in Water Distribution Networks Li Liu, E. Downey Brill, G. Mahinthakumar, James.

Workshop Recommendations: Putting workshop reports to use:  Biological research needs Cross-taxa responses Synergistic effects ( Ω, T, light, nuts) Long-term.

EEMB 595P Winter 2011 SBC LTER Research Seminar Instructor: S. Holbrook Time :Wednesdays noon-1 pm Room: MSRB auditorium 5-JanOrganizational meeting SBC.

COMPLEMENTING ECOLOGICAL SCIENCE IN MARINE PROTECTED AREAS LEGISLATION Dr. Vernon G. Thomas, Professor Emeritus Department of Integrative Biology College.

Intro to MPA debate Ray Hilborn School of Aquatic and Fishery Sciences University of Washington.

ELFSim: a fisheries decision support tool for coral reef line fish on the Great Barrier Reef of Australia Rich Little MSEAS 2016 Oceans and Atmosphere.

Assessing Marine Protected Areas (MPAs) In Indonesia

Strategies for Trash free seas

Presentation transcript:

Andrew Rassweiler 1, Chris Costello 1, Dave Siegel 1, Giulio De Leo 2, Fiorenza Micheli 3, Andrew Rosenberg University of California Santa Barbara 2 - Università degli Studi di Parma 3 - Hopkins Marine Station 4 - University of New Hampshire The Value of Information in Spatial Fisheries Management

Spatial fisheries management - Networks of marine reserves - Marine zoning California Marine Life Protection Act Great Barrier Reef zoning

Using models to aid spatial fisheries management What are models? - Models incorporate information about biology, habitat, oceanography, and fishermen. - Used to synthesize this information and make predictions - No model is exactly true So why use models? - Most alternative approaches are implicitly based on models - Models can include more information than any individual can consider

But! - Information goes into a model. - All the information is imperfectly known. - Reducing any uncertainty requires time and resources - In a spatial planning process: - Do we accept these uncertainties? - How much should we spend improving information? - Which information should we focus on improving?

Questions 1) How can we know the value of reducing uncertainty before investing in acquiring that information? 2) If information is not perfect, should we still use it? 3) How does improved information change fisheries profit and conservation outcomes? 4) How does additional information change the optimal spatial fishing strategy?

The value of information about dispersal in the southern California Bight Kelp bass Sheephead Kelp rockfish

What is the value of information about dispersal?

Ocean currents as drivers of dispersal

Scenario 1: Uncertain oceanography - Choose a single pattern of fishing that works best across the potential dispersal patterns. Scenario 2: Certain oceanography - Choose the pattern of fishing that works best for a single known dispersal pattern. Scenario 3: No oceanography - Choose the pattern of fishing that works best for a generic dispersal pattern. ?

Possible goals of management? -Economic value – fisheries profit -Conservation value – species biomass -A combination of the two

What is the value of Information when optimizing profit? Better information improves fishery profit. How does conservation change? Managing with better information increases species biomass

Change to fisheries profit and conservation

What is the value of Information?

How does the spatial distribution of fishing change? Management goals ProfitConservation

Conclusions 1) Both profit and fish biomass increase with improved information about dispersal. 2) Even imperfect information can improve spatial management. 3) With improved information management can be more spatially targeted, with more marine protected areas.

Acknowledgements Dispersal kernels: Satoshi Mitarai and James Watson Funding: National Science Foundation’s Biocomplexity Program, The Allen Foundation

Questions?