Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) - 2003 Wayne Wakeland 1, Olgay Cangur 1, Guillermo.

Slides:



Advertisements
Similar presentations
Ecosystem Processes ECOSYSTEM DEFINITION
Advertisements

Are the apparent rapid declines in top pelagic predators real? Mark Maunder, Shelton Harley, Mike Hinton, and others IATTC.
Sheng-Ping Wang 1,2, Mark Maunder 2, and Alexandre Aires-Da-Silva 2 1.National Taiwan Ocean University 2.Inter-American Tropical Tuna Commission.
Stock assessment of red mullet and hake in the Egyptian Mediterranean Waters Sahar Mehanna Fish Population Dynamics Lab NIOF, Egypt.
Discussion: Use of ecosystem level productivity as a fishery management tool New England Not used in management, but currently under consideration for.
Remaining Issues with the CFP Reform Rainer Froese, GEOMAR Breakfast Discussion with Fisheries Attachées 6th March 2013, WWF Office, Brussels.
5. MOVING TOWARD EAFM Essential EAFM Date Place 5. Moving towards EAFM Version 1.
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,
458 Population Projections (policy analysis) Fish 458; Lecture 21.
By Rob Day, David Bardos, Fabrice Vinatier and Julien Sagiotto
458 Policies and Their Evaluation Fish 458, Lecture 22.
Using Climate Information in Fisheries Stock Assessments (with a focus on Pacific Whiting) Ian Taylor SMA 550: Climate Impacts on the Pacific Northwest.
Evaluating the proposed MPA designs under California MLPA using fully age and spatially structured models Ray Hilborn University of Washington.
Generic Harvest Control Rules for European Fisheries Rainer Froese, Trevor A. Branch, Alexander Proelß, Martin Quaas, Keith Sainsbury & Christopher Zimmermann.
Modeling Fishery Regulation & Compliance: A Case Study of the Yellowtail Rockfish Wayne Wakeland Portland State University Systems Science Ph.D. Program.
Natural Resource: Fishing. East Coast Fishery Fisherman noticed they were catching fewer and smaller fish. The Canadian government responded in 1992 by.
Compatibility of Commercial Trip Limits and Recreational Bag Limits in the Management Area of St. Croix, USVI Regulatory Amendment 2 Queen Conch Fishery.
Fishery Management Fishing is extractive – Removes choices organisms- “ fine-ing ” – Changes food web structure The human condition provides little incentive.
1 Proposed Revisions to the National Standard 1 Guidelines: Adding Guidance on Annual Catch Limits and Other Requirements Presentation to the Regional.
Queen Conch Experts Workshop Miami, United States of America, 22–24 May 2012 Paul Medley.
Fishery Income Diversification and Risk for West Coast Fishermen and Fishing Communities Dan Holland – Northwest Fisheries Science Center Steve Kasperski.
Revisiting Stock-Recruitment Relationships Rainer Froese Mini-workshop on Fisheries: Ecology, Economics and Policy CAU, Kiel, Germany.
The material in this slide show is provided free for educational use only. All other forms of storage or reproduction are subject to copyright- please.
Population Dynamics Mortality, Growth, and More. Fish Growth Growth of fish is indeterminate Affected by: –Food abundance –Weather –Competition –Other.
Pacific Hake Management Strategy Evaluation Joint Technical Committee Northwest Fisheries Science Center, NOAA Pacific Biological Station, DFO School of.
Surplus-Production Models
Steelhead Stock Status Review and ESA Oregon Rhine Messmer ODFW District Staff Oregon Department of Fish and Wildlife Pacific Coast Steelhead Management.
MSE Performance Metrics and Tentative Results Summary Joint Technical Committee Northwest Fisheries Science Center, NOAA Pacific Biological Station, DFO.
May 2000 INTRODUCTION TO BIOECONOMIC MODELS FOR FISHERY - THE SCHAEFER-GORDON MODEL INTRODUCTION TO BIOECONOMIC MODELS FOR FISHERY - THE SCHAEFER-GORDON.
Pacific Hake Management Strategy Evaluation Joint Technical Committee Northwest Fisheries Science Center, NOAA Pacific Biological Station, DFO School of.
A REVIEW OF BIOLOGICAL REFERENCE POINTS AND MANAGEMENT OF THE CHILEAN JACK MACKEREL Aquiles Sepúlveda Instituto de Investigación Pesquera, Av. Colón 2780,
Fishing = Harvesting = Predation Predator-Prey Interaction +- with Humans as Predator Very high-tech hunting- gathering –Fast boats –Sonar, fish finders.
Framework for adaptation control information system in the Rio de la Plata: the case of coastal fisheries Walter Norbis – AIACC LA 32.
Revisiting the SSC Decision to Use all Available Data to Calculate Average Landings/OFLs/ABCs Southeast Fisheries Science Center.
. Assessment of the Icelandic cod stock Björn Ævarr Steinarsson Marine Research Institute.
DEEPFISHMAN Using bioeconomic modeling for evaluation of management measures – an example Institute of Economic Studies.
FTP Some more mathematical formulation of stock dynamics.
FTP Yield per recruit models. 2 Objectives Since maximizing effort does not maximize catch, the question is if there is an optimum fishing rate that would.
Harvesting and viability
Economic impacts of changes in fish population dynamics: the role of the fishermen’s behavior Dipl.-Geogr. Peter Michael Link, BA Research Unit Sustainability.
Summary of Atlantic Swordfish Species Working Group Discussion (see also SCI -021)
Simulated data sets Extracted from:. The data sets shared a common time period of 30 years and age range from 0 to 16 years. The data were provided to.
Mrs Nafisat Bolatito IKENWEIWE (PhD) DEPARTMENT OF AQUACULTURE AND FISHERIES MANAGEMENT UNIVERSITY OF AGRICULTURE, ABEOKUTA FISH STOCK ASSESSMENT
Fisheries 101: Modeling and assessments to achieve sustainability Training Module July 2013.
Wildlife, Fisheries and Endangered Species
MSE Performance Metrics and Tentative Results Summary Joint Technical Committee Northwest Fisheries Science Center, NOAA Pacific Biological Station, DFO.
Evaluation of harvest control rules (HCRs): simple vs. complex strategies Dorothy Housholder Harvest Control Rules Workshop Bergen, Norway September 14,
St. Thomas Grouper Analysis Carried out under STFA Funding Josh Nowlis, Ph.D. Stock Assessment Specialist.
M.S.M. Siddeeka*, J. Zhenga, A.E. Puntb, and D. Pengillya
West Atlantic bluefin tuna Executive Summary. Biology Continued progress in knowledge of bluefin biology, but the complex behaviour of this species means.
Extending length-based models for data-limited fisheries into a state-space framework Merrill B. Rudd* and James T. Thorson *PhD Student, School of Aquatic.
Why do we fish? Survival- many costal communities, particularly in developing countries, fish as a primary food source. Recreation- fishing for fun.
558 Policy Evaluation I (Performance Measures and Alternative control systems) Lecture 10.
MSE Performance Metrics, Tentative Results and Summary Joint Technical Committee Northwest Fisheries Science Center, NOAA Pacific Biological Station, DFO.
December 3, Fisheries & Marine Reserves. 1. Problems with fisheries. 2. Video on fisheries in New England. 3. Marine reserves - pros and cons.
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,
Data requirement of stock assessment. Data used in stock assessments can be classified as fishery-dependent data or fishery-independent data. Fishery-dependent.
Population Growth CENV 110. Topics Basic Population Dynamics Human Population Dynamics Sustainable Harvesting of Wild Populations.
Delay-difference models. Readings Ecological Detective, p. 244–246 Hilborn and Walters Chapter 9.
Class The Oceans FOOD RESOURCES OF THE OCEANS World Fish Catch Dynamics of fish populations and fishing Over-exploited fisheries Management to get.
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.
Spex Projections for Arrowtooth and Yelloweye Rockfish
IBFMPs Goals and Objectives
Policy Evaluation I (Performance Measures and Alternative control systems) Lecture 6.
Maximum Sustainable Yield & Maximum Economic Yield
Policy Evaluation II (Feedback strategies)
Day 2 Session 2 Biological reference points - Supplementary
Remaining Issues with the CFP Reform
Norton Sound Red King Crab SAFE2019 Jan
Presentation transcript:

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Wayne Wakeland 1, Olgay Cangur 1, Guillermo Rueda 1, Astrid Scholz 2 1 Portland State University, System Science Ph.D. Program 2 Ecotrust A System Dynamics Model of the Pacific Coast Rockfish Fishery Selected Definitions July 24 th, 2003

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Agenda  Problem Definition  The Model  Model Testing  Policy Analysis  Analysis and Recommendations  Future Work

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) The Problem  Populations of Rockfish and other Pacific Coast groundfish dramatically decreased.dramatically decreased  OVERCAPITALIZATION is considered the primary cause of fish declination.  The challenge is how to reduce the fleet without painful economic effects.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) General Purpose  Model of the dynamics behavior of the Yellowtail Rockfish of the Pacific coast of the US.  Generate “endogenously” the historical data for fish population, fishing vessels, regulatory parameters and fish harvest.  Sensitivity changes to key parameters.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) The Model

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Selected Definitions Acceptable Biological Catch (ABC): An estimate of the amount of fish in tons that could be taken from a stock at its current abundance without jeopardizing it. It is calculated by multiplying the harvest fraction that would produce the MSY times the current biomass. Annual Recruitment: The number of fish that mature and become vulnerable to fishing in a given year. Maximum Sustainable Yield (MSY): The largest average catch or yield that can continuously be taken from a stock under existing environmental conditions. For species with fluctuating recruitment, the maximum might be obtained by taking fewer fish in some years than in others.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC)  BMSY: The biomass value that corresponds to MSY.  Stock Assessment and Fishery Evaluation (SAFE): Report that provide historical data on catch and biomass for different species of fish.  Reports: Reports that provide historical data on catch and biomass for various species of fish.  Trawl vessels: Vessels that primarily use trawl gear and account for the majority of groundfish landings (approximately 90%). Selected Definitions (cont.)

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Key Assumptions Random variation is ignored: Average values from historical information for recruitment rate, spawning, and mortality fish are utilized. Ecosystem impact: The model assumes that fluctuations in ecological variables impact natural mortality rates that affect stocks by up to 20%. Vessels: The number of trawl vessels in the model is assumed to be a fraction of the total number of trawl vessels in use. This fraction is computed to represent the equivalent number of trawl vessels that would be present if the vessels were fishing only for yellowtail. ABC: Acceptable biological catch is calculated yearly in the model, based on triennial biomass surveys. This is the established scientific protocol for stocks assessments, but not always reflected in actual policy.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Reference Behavior Pattern (RBP) Sebastes flavidus (Yellowtail) Harvest and ABC Historical Data

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model The Model – Overall causal loop structure

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model The Model – Primary feedback loops

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Model - Trawl Vessel Dynamics Trawl vessels are modeled as a stock that could increase or decrease over time. There are not new vessels entry to the fleet. Instead, vessels modify their participation. New vessels are added to the fleet when are plentiful and removed from the fleet when fish stocks are down. Trawl Vessels= f (supply and demand)

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Model - Fish Population Modeled as two (2) separate stocks, Juveniles and Mature Fish.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Model – ABC The PFMC sets ABC based on prescribed rules, the triennial SAFE surveys, and other rules. ABC = f (Spawner_Percentage)

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Model – Harvest Harvest = [Current_Capacity – (Restrictions/Density)] Restrictions = Capacity Difference * Trip Limits Efficiency Density = Mature to Unfished ratio / Fish Density Coefficient

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Model – Economic Sector Translate harvest into revenues and profits. Revenues are accumulative.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Model – Ocean Health Exogenous factors from “Disposal Effects and El Niño effects.” Endogenous effects from “Habitat Health.”

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Model – H istorical harvest vs. calculated from the Model

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Model – ABC from the Model vs. historical data

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Model – Trawl vessels over time calculated by the Model

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Model Testing  The values of each parameter were varied over a range 50% above and below.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Testing – Natural Mortality Sensitivity NMR affects Biomass and TGR. Increasing NMR reduces the TGR and significantly impacts the Biomass.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Testing - Bycatch Sensitivity The model is less sensitivity to Bycatch Rate. Fluctuations differences between the runs are based in the delays in the triennial ABC.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Testing – Average Vessel Capacity (AVC) Sensitivity The higher the AVC, the longer it takes to reach a sustainable equilibrium. However, the TGR is NOT effected significantly by ABC changes. Biomass is more sensitive than TGR to changes in AVC.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Testing – Spawner Rate (SR) Sensitivity The model is very sensitive to the parameter SR.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Testing – Normal Fishing Rate (NFR) Sensitivity The biomass is very sensitive to changes in NPR. But this is not true for TGR, which varies by only a few percent.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Testing – Effectiveness of Trip Limits (ETL) Sensitivity Higher values of ETL tend to better sustain the environment.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Testing – Maturation Time Constant (MTC) Sensitivity The model is highly sensitive to MTC. Shorter MTC tends to reinforce MF population, yielding higher TGR. Higher values of MTC result in much lower biomass and TGR.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Testing – Maturation Time Constant (MTC) Sensitivity The biomass is very high sensitive to changes in MTC.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Range (- 50 %) Initial V a l u e Range (+5 0% ) Total Gross Revenue (TGR) Million $ Base Value = 112 Million $ TGR at low valueTGR at high value Natural Mortality Rate $132$91 Bycatch Rate $118$104 Av. Vessel Capacity (in Tons) $114$108 Spawner Rate $65$123 Normal Fishing Rate $104$116 Effectiveness of Trip Limits $103$110 Maturation Time Cons. (years)246$160$82 Spawning Cons $51$177 Table summarizes the results of sensitivity testing Testing – Sensitivity Analysis Summary

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Testing – Sensitivity test results portrayed graphically

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Policy Analysis – Maximum Sustainable Yield (MSY) The “40-10 Policy” – above 40% is the normal zone; 25%-40% is the precautionary zone; 10%-25% is the protection zone; below 10% is known as extinction zone and no fishing is allowed.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Policy Analysis – Maximum Sustainable Yield (MSY) How often the ABC is calculated (N= 1, 3, 5) Results suggested “Policy” for reducing fluctuations in the groundfish fishery.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Policy Analysis – Management Response Time (MRT) The lower the MRT value, the more quickly MF recovers and returns to the MSY value, suggesting that MRT should be less than five years for best results.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Fishery Pacific Model Future Work  Implementing Economic and Social Factors.  Incorporating dynamic trip limits.  Connecting the economic side of the system to the fishery, trawl vessels, and thus the harvest.  Improving how the model incorporates changes in ocean health.  Considering population dynamic models that include the age, size and weight of fish.  Incorporating Catch per Unit Efficiency (CPUE) index.

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) Backup slides Backup Information

Fishery Pacific Model Wakeland, Cangur, Rueda & Scholz International System Dynamics Conference (ISDC) The Problem – backup slides Return  Since 1983, groundfish revenues have fallen by 69% and landings of rockfish have decreased 78%.  Catch limits for various species of rockfish have declined 78%-89%.  January 2000 the West Coast groundfish fisheries were declared a federal disaster. Source: (EcoWorld 2000).