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

Slides:



Advertisements
Similar presentations
Differential Impacts of Climate Change on Spawning Populations of Atlantic cod in U.S. Waters Lisa Kerr, Steve Cadrin (UMass School for Marine Science.
Advertisements

Value of Information and Value of Control in fisheries management: North Sea herring as an example Samu Mäntyniemi, Sakari Kuikka, Laurence Kell, Mika.
KELP-SEA URCHIN-FISHERMEN DYNAMICS: IMPLICATIONS FOR SMALL-SCALE FISHERIES MANAGEMENT Nicolas Gutierrez SAFS - UW R Hilborn, AE Punt, LW Botsford, D Armstrong,
Renewable Common-Pool Resources: Fisheries and Other Commercially Valuable Species Chapter 14.
UNIT 5: Fish biology.
Fisheries. efficient harvests biology biology economic economic.
The current status of fisheries stock assessment Mark Maunder Inter-American Tropical Tuna Commission (IATTC) Center for the Advancement of Population.
 Homework #8 Due Thursday  Quiz #4 Thursday Nov. 17 th  Homework #9 Thursday Nov. 17 th  Group Outline due Thursday Nov. 17th  Exam #4 Dec. 1st.
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 2007 All-Hands Meeting. F3’s Bottom Line… Larval transport is a stochastic process driven by coastal stirring Fish stocks, yields.
Flow, Fish and Fishing 2006 All-Hands Meeting July UCSB.
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.
“Fishing” Actually, coupled Flow, Fish and Fishing.
Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance Carey McGilliard and Ray Hilborn July 12, 2006.
Spatial Bioeconomics under Uncertainty (with Application) Christopher Costello* September, 2007 American Fisheries Society Annual Meeting San Francisco,
Fishing in a stirred ocean: sustainable harvest can increase spatial variation in fish populations Heather Berkley Bruce Kendall, David Siegel, Christopher.
Biodiversity of Fishes Stock-Recruitment Relationships Rainer Froese,
Spatial and Temporal Patterns in Modeling Marine Fisheries Heather Berkley.
An overview of CALobster (California Lobster Collaborative) Matt Kay – UC Santa Barbara.
458 Meta-population models and movement Fish 458; Lecture 18.
Reserve design There’s a lot of crap out there We are in a position to inform how to do this intelligently.
 Homework #8 due Wednesday  Homework #9 due next Wednesday  Quiz #4 Wednesday Nov. 14 th  Group Outline due Wed. Nov. 14th.
The Role of Marine Reserves in Ecosystem-based Fisheries Management This project supported in part by the National Science Foundation. Opinions expressed.
Incorporating Ecosystem Objectives into Fisheries Management
Andrew Rassweiler 1, Chris Costello 1, Dave Siegel 1, Giulio De Leo 2, Fiorenza Micheli 3, Andrew Rosenberg University of California Santa Barbara.
Copyright © 2009 Pearson Addison-Wesley. All rights reserved. Chapter 14 Renewable Common- Pool Resources: Fisheries and Other Commercially Valuable Species.
WP4: Models to predict & test recovery strategies Cefas: Laurence Kell & John Pinnegar Univ. Aberdeen: Tara Marshall & Bruce McAdam.
Fishery Biology. Fisheries Management n Provide people with a sustained, high, and ever-increasing benefit from their use of aquatic resources n Problems.
Spatial Fisheries Values in the Gulf of Alaska Matthew Berman Institute of Social and Economic Research University of Alaska Anchorage Ed Gregr Ryan Coatta.
Surplus-Production Models
Spatial fisheries management for conservation and profitability Christopher Costello* University of California and National Bureau of Economic Research.
Spatial management of renewable resources under uncertainty Preliminary results on the economics of coupled Flow, Fish and Fishing Christopher Costello*
Modeling physical environmental impacts on survival: the SHIRAZ model Ecosystem based management FISH 507.
Empirical and other stock assessment approaches FMSP Stock Assessment Tools Training Workshop Bangladesh 19 th - 25 th September 2005.
Modeling growth for American lobster Homarus americanus Yong Chen, Jui-Han Chang School of Marine Sciences, University of Maine, Orono, ME
UNIT 8: Fisheries assessments. 2 Fisheries data Why do we need fisheries data? FAO (2005): “Information is critical to EAF. It underpins the formulation.
Fisheries in the Seas Fish life cycles: Egg/sperm pelagic larvaejuvenile (first non-feeding – critical period – then feeding) (first non-feeding – critical.
Fishing pressure and marine reserve management (Claire W. Armstrong* and Anders Skonhoft**: Marine Reserves: A bioeconomic model with asymmetric density.
Northwest Power and Conservation Council Sep 12-13, Science Policy Exchange Habitat Issues.
Flow, Fish and Fishing Dave Siegel, Chris Costello, Steve Gaines, Bruce Kendall, Satoshi Mitarai & Bob Warner [UCSB] Ray Hilborn [UW] Steve Polasky [UMn]
Santa Barbara Coastal LTER & California’s Marine Protected Areas Dave Siegel University of California, Santa Barbara Santa Barbara Coastal LTER.
The management of small pelagics. Comprise the 1/3 of the total world landings Comprise more than 50% of the total Mediterranean landings, while Two species,
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.
Stock Assessment Methodologies for Reef Systems: A Joint Analyses
Steve Gaines Bren School of Environmental Science & Management Sustainable Fisheries Group UC Santa Barbara12 May 2011.
Future Harvest Strategies to Increase Economic Yield and Productivity of Wild Fisheries Caleb Gardner.
Copyright © 2009 Pearson Addison-Wesley. All rights reserved.
Incorporation of Climate-Ocean Information in Short- and Medium Term Sprat Predictions in the Baltic Sea Acknowledgements: ICES Baltic Fish. Assess. WG.
WSN Annual Meeting 2009 Monterey, California Comparisons of baiting and trapping protocols inside and outside of marine protected areas along California’s.
Designing marine reserves for biodiversity and sustainable fisheries R. Quentin Grafton and Tom Kompas Crawford School of Economics and Government CERF.
ESI Indicators: overview of considerations within and beyond boundaries Ian Dutton
For 2014 Show the line of R producing SSB, and SSB producing R, and how they would spiderweb to get to equilibrium R. Took a long time, did not get to.
Quiz 7. Harvesting strategies and tactics References Hilborn R, Stewart IJ, Branch TA & Jensen OP (2012) Defining trade-offs among conservation, profitability,
Solving the Mystery of MPA Performance: linking governance, biodiversity conservation, & poverty Working Draft Mike Mascia, Helen Fox, & Al Lombana WWF.
Closures. 2 Seasons –Can fish only at certain times. Areas –Fishing restricted in specific locations. Fisheries –Fishing is completely prohibited.
Spatial models (meta-population models). Readings Hilborn R et al. (2004) When can marine reserves improve fisheries management? Ocean and Coastal Management.
Return to Marine Protected Areas. Background readings Roberts CM et al. (2001) Effects of marine reserves on adjacent fisheries. Science 294:
PRINCIPLES OF STOCK ASSESSMENT. Aims of stock assessment The overall aim of fisheries science is to provide information to managers on the state and life.
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.
Copyright © 2009 Pearson Addison-Wesley. All rights reserved.
Copyright © 2009 Pearson Addison-Wesley. All rights reserved.
Renewable Common-Pool Resources: Fisheries and Other Commercially Valuable Species Chapter 14.
Presentation transcript:

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

Background Marine reserves are proposed as tools to augment fisheries: -habitat protection -spillover -age structure protection These are best case scenarios…poaching within reserves may significantly affect the biological and economic outcomes of reserves. Photo from NMFS

Questions 1. What are the biological effects of poaching inside and out of reserves? -Abundances, age structure, yield 2. What are the economic effects? -Closely linked to the biological effects through CPUE. 3. What are the drivers of poaching? -Wealth status, expected profits, opportunity cost of time 4. What are effective enforcement measures? -Monitoring, fines, rewards, education

Biological Effects: Age structure analysis with maternal effects on larval survival Some Assumptions: -B-H recruitment relationship -Sedentary adults, common pool larvae mixture (abalone, scallop, rockfish) -Lingcod life history characteristics -Asymptotic knifedge selectivity, maturity -Maternal effects on larval survival: RLS = (1-e^(-.247*age)) Age Structure

Effort Readjusts Outside

Effort Constant Outside

B40% Rule for Outside Only

Conclusions: -Yield is lower with a reserve in place -Poaching can quickly reduce the age structure benefits from marine reserves by reducing SSB in reserves and resulting ELO. -If age structure protection is a primary goal of reserves, enforcement of reserve will be a key determinant in the success of the reserve. -Raises question about whether or not populations inside the reserve should be considered in the B40% rule. Age Structure Photo from Fisheries and Oceans Canada

Biological Effects: 2Box model with logistic growth, adult movement, and poaching as a function of profit 2Box Model

Future Work Age Structure Model: -incorporate movement and space 2Box Logistic Model: -expand into spatial model -alternative ways of modelling poaching behavior -poaching in open areas -heterogeneous costs based on location (space)

Thank You! Funding: SAFS ARCS Thanks to R. Hilborn and his lab, and A. Haynie.

Age Structure Biological Effects: Age structure analysis with maternal effects on larval survival

Age Structure Biological Effects: Age structure analysis with maternal effects on larval survival

Previous Work Majority of prior modeling work considers reserves to be 100% effective, i.e. no poaching. Of 800+ papers on marine reserves, only 3 consider noncompliance within reserve boundaries.

Previous Work Little et al. (2005), Kritzer (2004): -2D spatial models to examine the effects of poaching on different shaped reserves. -Found if poaching is a function of distance from an edge, single large reserves are more robust than several small reserves. -Poaching negated benefits of reserves even at high F. Hallwood (2005): -Analytical model of sustainable rents in a reserve-fishery complex when there is costly enforcement of reserve areas. -Optimization finds that m. benefit of policing = m. cost of policing, optimal stock size may be smaller than size without poaching

No S-R Relationship