Impact of Industrial Tuna Fisheries on Fish Stocks and the Ecosystem of the Pacific Ocean

Total Page:16

File Type:pdf, Size:1020Kb

Impact of Industrial Tuna Fisheries on Fish Stocks and the Ecosystem of the Pacific Ocean Impact of Industrial Tuna Fisheries on Fish Stocks and the Ecosystem of the Pacific Ocean www.soest.hawaii.edu/PFRP/large_pelagics/large_pelagic_predators John Sibert Pelagic Fisheries Research Program University Hawaii Thanks to the folks who actually do the work: John Hampton Oceanic Fisheries Programme, SPC, Noumea Adam Langley Pierre Kleiber NOAA Pacific Island Fisheries Science Center, Honolulu Mark Maunder Inter-American Tropical Tuna Commission, La Jolla Shelton Harley Yukio Takeuchi National Research Institute of Far Seas Fisheries, Shimizu Momoko Ichinokawa Tom Polacheck CSIRO, Hobart Alain Fonteneau IRD, Sete Outline • History of industrial tuna fishing • How do you estimate biomass? • Data available • Model components • Results – analysis & synthesis – Biomass trends – Changes in size structure – Changes in trophic structure – Regime shifts? • Fishery management options • (Compare with CPUE analysis) Expansion of Fishing Grounds Increase in Catch By Species By Gear By Area Estimating Biomass: Stock Assessment Models • Infer status of stock from analysis of fisheries data • Process – Demographic model of fish population – Model of fishing process • Stochastic components – Process error – Observation error • Likelihood • No explicit environmental forcing Fisheries Data • Spatially resolved time series starting in 1952 • Catch and effort by fishing gear and national flag • Size: catch by length or weight • Tag release and recapture • Non-existent experimental design – Inconsistent spatial resolution – Changes in biomass confounded with changes in fishery – Not all time-area strata sampled Simple Example – The Schaefer Model dB = rB 1 − B − f B Demographic Model dt K f = qE Fishing Mortality Cb = f B Predicted Catch `(C,E|r,K,q) = ∑(C −Cb)2 Likelihood • Stock assessment models reconstruct biomass trajectories • q can be set to 0 to explore potential biomass trajectories in absence of fishing • Extremely simple example useful only heuristically and in restricted situations (e.g. EPO surface fishery in the 1950s). Don’t try this at home! dB • Assumption of equillibrium dt = 0 leads directly to MSY concept C C • C = qEB implies E = qB i.e. E (or CPUE) is an index of abundance if q is constant. More Complex example – MULTIFAN-CL http://www.multifan-cl.org Rlog(ϕt )αrγtr a = 1; 1 ≤ t ≤ T 0 0 Na,1,r 1 < a < A; t = 1 Natr = Demographic Model −Z e a−1,t−1,r Na−1,t−1,r 1 < a < A; 1 < t ≤ T −Z −Z e a−1,t−1,r Na−1,t−1,r + e a,t−1,r Na,t−1,r a = A; 1 < t ≤ T ∑ Zatr = f ∈ fr Fat f + Ma Total Mortality ε Fat f = sa f qt f Et f e t f Fishing Mortalty F C = at f 1 − e−Zatr N Predicted Catch bat f Zatr atr h i2 ΘC C A A = p ∑t ∑ f log(1 + ∑a Cat f ) − log(1 + ∑a Cbat f ) Likelihood Spatial Structure 120˚ 150˚ 180˚ 210˚ 240˚ 270˚ 40˚ 40˚ 1 2 7 20˚ 20˚ 0˚ 3 4 0˚ −20˚ 8 −20˚ 5 6 −40˚ −40˚ 120˚ 150˚ 180˚ 210˚ 240˚ 270˚ Size-frequency Information Region 4 Purse Seine, Associated Region 1 Longline n=2524 Tagging Information Movement Mortality More Diagnostics Growth “Effort Deviations” εt f Availability of stock assessments Current Assessments Needed Assessments “Stock” Status “Stock” Status WCPO Yellowfin∗ 3 Ono 0 EPO Yellowfin∗ 3 Mahi mahi 0 Southern Albacore∗ 3 Oceanic Whitetip Shark 0 Northern Albacore∗ 2 Pacific Bigeye∗ 3 WCPO Bigeye 3 WCPO Skipjack∗ 2 Pacific Swordfish 1 Pacific Blue Marlin 1 Pacific Blue Shark 1 3: current & defintive; 2: current, but needs work; 1: in progress or needs updating; 0: probably insufficient data ∗ Used in this presentation Biomass Trends Impact of Fishery on Total Biomass Changes in Size Spectra Impact of Fishery on Size Impact of Fishery on Spawning Biomass Ecopath Trophic Level Calculations Central Pacific Eastern Tropical Pacific Cox et al., 2002 Olson & Watters, 2003 Species Small Weight (kg) Length (cm) Large Small Length (cm) Large Bigeye 3.82 39.0 123 4.06 4.53 80 5.17 Yellowfin 3.91 14.8 94 4.12 4.57 90 4.66 Albacore 3.96 13.3 87 4.10 4.60 Blue Shark 3.99 4.05 Blue Marlin 44.0 4.61 Swordfish 10.0 4.32 4.42 150 4.96 Skipjack 3.85 13.4 91 4.57 “Marlins” 5.22 150 5.32 “Sharks” 5.23 150 4.93 Bluefin 4.37 Sailfish 4.63 150 4.89 Average 3.91 4.21 4.77 4.83 Cox, S., S. Martell, C. Walters, T. Essington, J. Kitchell, C. Boggs, and I. Kaplan. 2002. Reconstructing ecosystem dynammics in the central Pacific Ocean, 1952-1998. I. Estimating population biomass and recritment of tunas and billfishes. Can. J. Fish, Aquat. Sci. 59:1724-1735. Cox, S., T. Essington, J. Kitchell, S. Martell, C. Walters, C. Boggs, and I. Kaplan. 2002. Reconstructing ecosystem dynammics in the central Pacific Ocean, 1952-1998. II. A preliminary assessment of the trophic impacts of fishing and effects on tuna dynamics. Can. J. Fish, Aquat. Sci. 59:1736-1747. Olson, R. and G. Watters. 2003. A model of the pelagic ecosystem in the estaern tropical Pacific Ocean. IATTC Bulletin 22:135-218. Eastern and Western Food Webs Hinke, J, I. Kaplan, K. Aydin, G. Watters, R. Olson and J. Kitchell. 2004. Visualizing the food-web effects of fishing for tunas in the Pacific Ocean. Ecology and Society 9:1-10. http://www.ecologyandsociety.org/vol9/iss1/art10 Eating your way to the top http://www.flmnh.ufl.edu/fish/Gallery/Descript/YellowfinTuna/YellowfinTuna.html Trophic Transisitions Ecopath Switch Ontogenetic Central Pacific Eastern Tropical Pacific Impact of Fishery on Trophic Level (1) WCPO Ontogentic Impact of Fishery on Trophic Level (2) EPO Switch Impact of Ecosystem on Fishery Conclusions • Impact of fisheries on biomass is variable – Expansion of the purse seine fishery had extended fishing mortality to all age classes of some species – Some stocks have declined to a point where management intervention is required – Some stocks appear to have increased in abundance • Fish larger than 150cm have declined to about 20% of their predicted abundance in the absence of fishing • Impact on trophic stucture within the guild of “top predators” is not detectable • Fishery-independent trends in recruitment and biomass • Estimated increase in skipjack biomass consistent with predictions from food web models – Further work on skipjack stock assessment should be given priority – Possiblities for assessments of mahi mahi, ono, and small tunas should be evaluated Fishery Management Options • United States Domestic: F > MMSY (overfishng), but B > BMSY (not overfished) – US catch comprises approximately 0.5% longline and 5% purse seine yellowfin catch – US catch comprises approximately 1% longline bigeye catch • International – IATTC – WCPFC The Claims “... large predatory fish biomass today is only about 10% of pre- industrial levels.” Ransom A. Myers and Boris Worm. 2002. Rapid worldwide depletion of predatory fish communities Nature 423:280-283. “I know that the human being and the fish can coexist.” George W. Bush • Misinterpretation of CPUE – CPUE is not a reliable index of abundance – “Community” CPUE a bogus concept • Omits of most of data Interpretation of Catch per Unit Effort (1) Albacore South of the Equator 4 Taiwan 3 2 1 CPUE (Fish/100 Hooks) Japan 0 1950 1960 1970 1980 1990 2000 Year Hampton, J, J. Sibert, P.Kleiber, M. Maunder, S. Harley. 2005. Decline of Pacific tuna populations exaggerated? Nature 434:E1-E2. Interpretation of Catch per Unit Effort (2) Yellowfin South of 10 South _ 6 35% Decline by 2900 tonne removal 5 _ _ 4 10000 3 60% Decline by 8900 tonne removal 2 _ 5000 Total Catch (mt) 1 CPUE (Fish/100 Hooks) 0 0 1950 1960 1970 1980 1990 2000 Year Yellowfin Between 10 South and 10 North 4e+05 2.0 1.0 2e+05 Total Catch (mt) CPUE (Fish/100 Hooks) 0.0 0e+00 1950 1960 1970 1980 1990 2000 Year Selective use of data (1) Selective use of data (2).
Recommended publications
  • SUSTAINABLE FISHERIES and RESPONSIBLE AQUACULTURE: a Guide for USAID Staff and Partners
    SUSTAINABLE FISHERIES AND RESPONSIBLE AQUACULTURE: A Guide for USAID Staff and Partners June 2013 ABOUT THIS GUIDE GOAL This guide provides basic information on how to design programs to reform capture fisheries (also referred to as “wild” fisheries) and aquaculture sectors to ensure sound and effective development, environmental sustainability, economic profitability, and social responsibility. To achieve these objectives, this document focuses on ways to reduce the threats to biodiversity and ecosystem productivity through improved governance and more integrated planning and management practices. In the face of food insecurity, global climate change, and increasing population pressures, it is imperative that development programs help to maintain ecosystem resilience and the multiple goods and services that ecosystems provide. Conserving biodiversity and ecosystem functions are central to maintaining ecosystem integrity, health, and productivity. The intent of the guide is not to suggest that fisheries and aquaculture are interchangeable: these sectors are unique although linked. The world cannot afford to neglect global fisheries and expect aquaculture to fill that void. Global food security will not be achievable without reversing the decline of fisheries, restoring fisheries productivity, and moving towards more environmentally friendly and responsible aquaculture. There is a need for reform in both fisheries and aquaculture to reduce their environmental and social impacts. USAID’s experience has shown that well-designed programs can reform capture fisheries management, reducing threats to biodiversity while leading to increased productivity, incomes, and livelihoods. Agency programs have focused on an ecosystem-based approach to management in conjunction with improved governance, secure tenure and access to resources, and the application of modern management practices.
    [Show full text]
  • Catch Per Unit Effort (CPUE)
    RESEARCH FOR THE MANAGEMENT OF THE FISHERIES ON LAKE GCP/RAF/271/FIN-TD/80 (En) TANGANYIKA GCP/RAF/271/FIN-TD/80 (En) January 1998 CATCH PER UNIT OF EFFORT (CPUE) STUDY FOR DIFFERENT AREAS AND FISHING GEARS OF LAKE TANGANYIKA by COENEN E.C., PAFFEN P. & E. NIKOMEZE FINNISH INTERNATIONAL DEVELOPMENT AGENCY FOOD AND AGRICULTURAL ORGANIZATION OF THE UNITED NATIONS Bujumbura, January 1998 The conclusions and recommendations given in this and other reports in the Research for the Management of the Fisheries on the Lake Tanganyika Project series are those considered appropriate at the time of preparation. They may be modified in the light of further knowledge gained at subsequent stages of the Project. The designations employed and the presentation of material in this publication do not imply the expression of any opinion on the part of FAO or FINNIDA concerning the legal status of any country, territory, city or area, or concerning the determination of its frontiers or boundaries. PREFACE The Research for the Management of the Fisheries on Lake Tanganyika project (LTR) became fully operational in January 1992. It is executed by the Food and Agriculture Organization of the United Nations (FAO) and funded by the Finnish International Development Agency (FINNIDA) and the Arab Gulf Program for the United Nations Development Organization (AGFUND). LTR's objective is the determination of the biological basis for fish production on Lake Tanganyika, in order to permit the formulation of a coherent lake-wide fisheries management policy for the four riparian States (Burundi, Tanzania, Zaire and Zambia). Particular attention is given to the reinforcement of the skills and physical facilities of the fisheries research units in all four beneficiary countries as well as to the build-up of effective coordination mechanisms to ensure full collaboration between the Governments concerned.
    [Show full text]
  • Production and Maximum Sustainable Yield of Fisheries Activity in Hulu Sungai Utara Regency
    E3S Web of Conferences 147, 02008 (2020) https://doi.org/10.1051/e3sconf/202014702008 3rd ISMFR Production and Maximum Sustainable Yield of fisheries activity in Hulu Sungai Utara Regency Aroef Hukmanan Rais* and Tuah Nanda Merlia Wulandari Balai Riset Perikanan Perairan Umum dan Penyuluhan Perikanan, Jln. Gub. HA Bastari, No.08 Jakabaring, Palembang, Indonesia Abstract. Production and fishing activities of inland waters in the Hulu Sungai Utara Regency (HSU) have a large contribution to fulfill the food needs for the local people in South Borneo. A total of 65% of the inland waters in the HSU Regency are floodplains. This research aimed to describe the production of capture fisheries products from 2010 to 2016, the catch per unit of effort (CPUE), the estimation of maximum sustainable (MSY), the biodiversity of fish species in the flood plain waters of Hulu Sungai Utara Regency (HSU). Research and field data collection was carried out throughout 2016, by collecting fishing gears and catch data from fishermen at Tampakang Village and Palbatu Village. The highest fish production was found in 2014, which reached a value of 2053 tons/year, and tended to decline in the following year. The highest catch per unit of effort per year was found to be in 2014 (151.65 tons/effort), and significantly dropped in 2016 (36.05 tons/effort). The Maximum Sustainable Yield (MSY) analysis obtained a value of 2103.13 tons/year with an effort value of 16.57 for standard fishing gear. The research identified 31 species of fish and the largest composition was baung (Mystusnemurus) and Nila (Tilapia nilotica).
    [Show full text]
  • Calculation and Interpretation of Catch-Per-Unit-Effort (CPUE) Indices
    ISSN 1175-1 584 MINISTRY OF FISHERIES Te Tautiaki i nga tini a Tangaroa Calculation and interpretation of catch-per-unit-effort (CPUE) indices A. Durn S. J. Harley I. J. Doonan B. Bull New Zealand Fisheries Assessment Report 2000/1 February 2000 Calculation and interpretation of catch-per-unit-effort (CPUE) indices A. Dunn S. J. Harley I. J. Doonan B. Bull NIWA PO Box 14 901 Wellington New Zealand Fisheries Assessment Report 200011 February 2000 Published by Ministry of Fisheries Wellington 2000 0 Ministry of Fisheries 2000 Citation: Dunn, A., Harley, S.J., Doonan, I.J., & Bull, B. 2000: Calculation and interpretation of catch-per-unit effort (CPUE) indices. Nau Zealand Fisheries Assessment Report 2000/1.44 p. This series continues the informal New Zealand Fisheries Assessment Research Document series which ceased at the end of 1999. EXE.CUTIVE SUMMARY Dunn, Amy Harley, SJ., Doonan, IJ. & Bull, B. 2000: Calculation and interpretation of catch-per-unit-effort (CPUE) indices. N.Z. Fisheries Assessment Report 2000/1.44 p. This report is in fulfilment of the requirements for Objective 4 of Project SAM 9801, Improved Methods for Fish Stock Assessment Modelling. The objective was 'To determine when catch and effort data should be used to construct biomass indices." This report reviews the literature, investigates the empirical relationship between a sample of observed CPUE and associated, but independent, biomass indices, and discusses guidelines for calculating and interpreting CPUE data. The assumption of a proportional relationship between CPUE and abundance has often been criticised, and ma.authors warn that the assumption of proportionality can be very misleading when estimating abundance.
    [Show full text]
  • A Guide to Fisheries Stock Assessment from Data to Recommendations
    A Guide to Fisheries Stock Assessment From Data to Recommendations Andrew B. Cooper Department of Natural Resources University of New Hampshire Fish are born, they grow, they reproduce and they die – whether from natural causes or from fishing. That’s it. Modelers just use complicated (or not so complicated) math to iron out the details. A Guide to Fisheries Stock Assessment From Data to Recommendations Andrew B. Cooper Department of Natural Resources University of New Hampshire Edited and designed by Kirsten Weir This publication was supported by the National Sea Grant NH Sea Grant College Program College Program of the US Department of Commerce’s Kingman Farm, University of New Hampshire National Oceanic and Atmospheric Administration under Durham, NH 03824 NOAA grant #NA16RG1035. The views expressed herein do 603.749.1565 not necessarily reflect the views of any of those organizations. www.seagrant.unh.edu Acknowledgements Funding for this publication was provided by New Hampshire Sea Grant (NHSG) and the Northeast Consortium (NEC). Thanks go to Ann Bucklin, Brian Doyle and Jonathan Pennock of NHSG and to Troy Hartley of NEC for guidance, support and patience and to Kirsten Weir of NHSG for edit- ing, graphics and layout. Thanks for reviews, comments and suggestions go to Kenneth Beal, retired assistant director of state, federal & constituent programs, National Marine Fisheries Service; Steve Cadrin, director of the NOAA/UMass Cooperative Marine Education and Research Program; David Goethel, commercial fisherman, Hampton, NH; Vincenzo Russo, commercial fisherman, Gloucester, MA; Domenic Sanfilippo, commercial fisherman, Gloucester, MA; Andy Rosenberg, UNH professor of natural resources; Lorelei Stevens, associate editor of Commercial Fisheries News; and Steve Adams, Rollie Barnaby, Pingguo He, Ken LaValley and Mark Wiley, all of NHSG.
    [Show full text]
  • 1 Misguided Claims of Overfishing in New South Wales: Comment On
    Misguided Claims of Overfishing in New South Wales: Comment on “Empty Oceans Empty Nets. An evaluation of NSW fisheries catch statistics from 1940 to 2000” Robyn Forrest and Tony J Pitcher Fisheries Centre, University of British Columbia, Vancouver, Canada Summary A recent report characterises New South Wales fisheries as seriously mismanaged and unsustainable. While there have undoubtedly been declines in some fish populations in New South Wales, we are unable to substantiate these claims since the report lacks both consistency and rigour, analytical methods are not clearly described, fisheries science is not appropriately applied, and there is a failure to comprehend the management systems and responsibilities in Australian fisheries. In summary, the published report is so seriously flawed that it should not be used or quoted. Currently, there is much concern about the state of the world’s marine fish stocks and the ecosystems in which they are embedded (e.g., Pauly et al. 2003). While there is no doubt that some of the world’s fisheries have been poorly managed and/or overfished, statements describing failures of fisheries management programmes should be based on rigorous and defensible analysis if criticisms are to be credible. For example, a recent heavily-cited analysis of the decline of tuna populations (Myers and Worm 2003) may be based on incorrect assumptions (Walters 2003; Hampton et al . 2005). It is evident that careless interpretation of fisheries statistics increases confusion and may undermine the credibility of legitimate conservation efforts. A recent anonymous report (hereafter, “the report”) published in 2006 by the Hunter Community Environment Centre in New South Wales (NSW), Australia, makes strong claims of mismanagement and severe overfishing in the commercial and recreational fisheries of NSW (Hunter Community Environment Centre 2006).
    [Show full text]
  • Spatio-Temporal Associations of Albacore Cpues in the Northeastern Pacific with Regional SST and Climate Environmental Variables
    Spatio-temporal associations of albacore CPUEs in the Northeastern Pacific with regional SST and climate environmental variables Phillips, A. J., Ciannelli, L., Brodeur, R. D., Pearcy, W. G., & Childers, J. (2014). Spatio-temporal associations of albacore CPUEs in the Northeastern Pacific with regional SST and climate environmental variables. ICES Journal of Marine Science, 71(7), 1717-1727. doi:10.1093/icesjms/fst238 10.1093/icesjms/fst238 Oxford University Press Version of Record http://cdss.library.oregonstate.edu/sa-termsofuse ICES Journal of Marine Science ICES Journal of Marine Science (2014), 71(7), 1717–1727. doi:10.1093/icesjms/fst238 Original Article Spatio-temporal associations of albacore CPUEs in the Northeastern Pacific with regional SST and climate environmental variables Downloaded from A. Jason Phillips1*, Lorenzo Ciannelli1, Richard D. Brodeur2, William G. Pearcy1, and John Childers3 1College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, 104 CEOAS Administration Building, Corvallis, OR 97331, USA 2National Marine Fisheries Service, Northwest Fisheries Science Center, 2030 SE Marine Science Dr, Newport, OR 97365, USA 3 National Marine Fisheries Service, Southwest Fisheries Science Center, 8604 La Jolla Shores Dr, La Jolla, CA 92037–1508, USA http://icesjms.oxfordjournals.org/ *Corresponding Author: tel: +1 541 231 5021; fax: +541 737 2064; E-mail: [email protected] Phillips, A. J., Ciannelli, L., Brodeur, R. D., Pearcy, W. G., and Childers, J. Spatio-temporal associations of albacore CPUEs in the Northeastern Pacific with regional SST and climate environmental variables. – ICES Journal of Marine Science, 71: 1717–1727. Received 25 March 2013; accepted 13 December 2013; advance access publication 14 February 2014.
    [Show full text]
  • 1 Appendix A. Glossary Acceptable Biological Catch (ABC): Maximum
    Appendix A. Glossary Acceptable Biological Catch (ABC): Maximum amount of fish stock than can be harvested without adversely affecting recruitment of other components of the stock. The ABC level is typically higher than the total allowable catch, leaving a buffer between the two. ALS: Accumulative Landings System. NMFS database which contains commercial landings reported by dealers. Biomass: Amount or mass of some organism, such as fish. BMSY: Biomass of population achieved in long-term by fishing at FMSY. Bycatch: Fish harvested in a fishery, but not sold or kept for personal use. Bycatch includes economic discards and regulatory discards, but not fish released alive under a recreational catch and release fishery management program. Caribbean Fishery Management Council (CFMC): One of eight regional councils mandated in the Magnuson-Stevens Fishery Conservation and Management Act to develop management plans for fisheries in federal waters. The CFMC develops fishery management plans for fisheries off the coast of the U.S. Virgin Islands and the Commonwealth of Puerto Rico. Catch Per Unit Effort (CPUE): The amount of fish captured with an amount of effort. CPUE can be expressed as weight of fish captured per fishing trip, per hour spent at sea, or through other standardized measures. Charter Boat: A fishing boat available for hire by recreational anglers, normally by a group of anglers for a short time period. Cohort: Fish born in a given year. (See year class.) Control Date: Date established for defining the pool of potential participants in a given management program. Control dates can establish a range of years during which a potential participant must have been active in a fishery to qualify for a quota share.
    [Show full text]
  • Catch Per Unit Effort Spatial Metric for Pelagic Longline Catch and Effort
    Nova Southeastern University NSUWorks Marine & Environmental Sciences Faculty Department of Marine and Environmental Sciences Proceedings, Presentations, Speeches, Lectures 5-2014 Catch Per Unit Effort Spatial Metric for Pelagic Longline Catch and Effort Data from the Western North Atlantic Tuna Fishery Max Appelman Nova Southeastern University, [email protected] Brian K. Walker Nova Southeastern University, [email protected] David W. Kerstetter Nova Southeastern University, [email protected] Follow this and additional works at: https://nsuworks.nova.edu/occ_facpresentations Part of the Marine Biology Commons, and the Oceanography and Atmospheric Sciences and Meteorology Commons NSUWorks Citation Appelman, Max; Walker, Brian K.; and Kerstetter, David W., "Catch Per Unit Effort Spatial Metric for Pelagic Longline Catch and Effort Data from the Western North Atlantic Tuna Fishery" (2014). Marine & Environmental Sciences Faculty Proceedings, Presentations, Speeches, Lectures. 229. https://nsuworks.nova.edu/occ_facpresentations/229 This Conference Proceeding is brought to you for free and open access by the Department of Marine and Environmental Sciences at NSUWorks. It has been accepted for inclusion in Marine & Environmental Sciences Faculty Proceedings, Presentations, Speeches, Lectures by an authorized administrator of NSUWorks. For more information, please contact [email protected]. CATCH PER UNIT EFFORT SPATIAL METRIC FOR PELAGIC LONGLINE CATCH AND EFFORT DATA FROM THE WESTERN NORTH ATLANTIC TUNA FISHERY Max H. Appelman, Brian K. Walker, and David W. Kerstetter Nova Southeastern University Oceanographic Center 8000 North Ocean Drive Dania Beach, FL 33004 Catch per unit effort (CPUE) is a quantitative method used to describe fisheries worldwide. CPUE can be presented as number of fish per 1000 hooks, number of fish per amount of fishing time, or with any unit of effort that best describes the fishery (i.e., search time, hooks per hour, number of trawls, etc.).
    [Show full text]
  • Effects of Large-Scale River Diversions on Fish and Fishe
    Ecological Modelling 360 (2017) 14–26 Contents lists available at ScienceDirect Ecological Modelling j ournal homepage: www.elsevier.com/locate/ecolmodel Using ecosystem modeling to evaluate trade-offs in coastal management: Effects of large-scale river diversions on fish and fisheries a,∗ b c d d Kim de Mutsert , Kristy Lewis , Scott Milroy , Joe Buszowski , Jeroen Steenbeek a Department of Environmental Science & Policy, George Mason University, 4400 University Drive, MSN 5F2, Fairfax, VA 22030, USA b Department of Biology, St. Mary’s College of Maryland, 214 Schaefer Hall, St. Mary’s, MD 20686, USA c Department of Marine Science, The University of Southern Mississippi, Science Building 107C, 730 East Beach Blvd., Long Beach, MS 39560, USA d Ecopath International Initiative, C/Sant Eduard 22-A-2-1, Sant Cugat del Valles, Barcelona, SP 08172, Spain a r t i c l e i n f o a b s t r a c t Article history: A coupled ecosystem modeling approach was used to evaluate how select combinations of large-scale Received 30 December 2016 river diversions in the lower Mississippi River Deltaic Plain may affect the distribution, biomass, and Received in revised form 19 June 2017 landings of fish and shellfish over decades relative to a future without action. These river diversions are Accepted 19 June 2017 controlled openings in the riverbank of the Mississippi River designed to reintroduce sediment, water, Available online 10 July 2017 and nutrients into hydrologically isolated coastal wetlands in order to mitigate wetland loss. We devel- oped a spatial ecosystem model using Ecopath with Ecosim (EwE) software, and prepared it to receive Keywords: output from a Delft3D hydrodynamic model coupled to primary production models.
    [Show full text]
  • 2016 Fishing Year
    ATLANTIC STATES MARINE FISHERIES COMMISSION REVIEW OF THE INTERSTATE FISHERY MANAGEMENT PLAN FOR AMERICAN LOBSTER (Homarus americanus) 2016 FISHING YEAR Prepared by the Plan Review Team Approved by the American Lobster Management Board October 2017 Table of Contents 1.0 Status of the Fishery Management Plan ................................................................................................ 1 2.0 Status of the Fishery .............................................................................................................................. 2 2.1 Commercial Fishery ............................................................................................................................. 2 2.2 Recreational Fishery ............................................................................................................................ 2 3.0 Status of the Stock .................................................................................................................................. 2 4.0 Status of Management Measures .......................................................................................................... 3 4.1 Implemented Regulations.................................................................................................................... 3 4.2 Current Management Action ............................................................................................................... 7 5.0 Ongoing Trap Reductions ......................................................................................................................
    [Show full text]
  • Evolution of Global Marine Fishing Fleets and the Response of Fished Resources
    Evolution of global marine fishing fleets and the response of fished resources Yannick Rousseaua,b,c,1, Reg A. Watsona,b, Julia L. Blancharda,b, and Elizabeth A. Fultonb,c aInstitute for Marine and Antarctic Studies, University of Tasmania, 7004, Battery Point, Australia; bCentre for Marine Socioecology, 7004 Battery Point, Australia; and cOceans and Atmosphere, Commonwealth Scientific and Industrial Research Organisation, 7004, Battery Point, Australia Edited by Ray Hilborn, University of Washington, Seattle, WA, and accepted by Editorial Board Member David W. Schindler April 18, 2019 (received for review December 4, 2018) Previous reconstructions of marine fishing fleets have aggregated regional definitions. The industrial fleets are better documented data without regard to the artisanal and industrial sectors. Engine and reported than artisanal fleets (9), specifically how they de- power has often been estimated from subsets of the developed veloped to exploit often distant fish stocks, which could not be world, leading to inflated results. We disaggregated data into fished efficiently by artisanal fishers. Recent technological prog- three sectors, artisanal (unpowered/powered) and industrial, and ress, particularly in electronic monitoring systems, has provided a reconstructed the evolution of the fleet and its fishing effort. We substantial volume of information on the composition and behavior found that the global fishing fleet doubled between 1950 and of the larger components of the industrial fleet (10). In contrast, 2015—from 1.7 to 3.7 million vessels. This has been driven by sub- the extent and impact of the artisanal fishing fleet is under- stantial expansion of the motorized fleet, particularly, of the estimated in the literature.
    [Show full text]