Cookies Notification

We use cookies to improve your website experience. To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy.
×

Lower possession limits and shorter seasons directly reduce for-hire fishing effort in a multispecies marine recreational fishery

Publication: Canadian Journal of Fisheries and Aquatic Sciences
26 January 2022

Abstract

Managers of recreational fisheries often rely on implicit and rarely tested assumptions regarding how fishing effort will change in response to regulations. For instance, they assume that reduced seasons will directly reduce fishing effort without producing angler behavioral adaptations to maintain fishing opportunities and harvest. Vessel trip reports from a multispecies for-hire fishery in New Jersey, USA, allowed us to empirically evaluate changes in fishing effort as overlapping seasons for four species became shorter and as possession limits decreased. We conducted focus groups with fishery stakeholders and then developed statistical models to evaluate hypotheses describing how anglers aboard for-hire vessels adapted to regulations. Fishing effort aboard charter boats remained consistent and primarily responded to the availability of “something” to harvest, suggesting that their customers are willing to substitute target species. Party boat anglers, in contrast, responded to the possession limits of black sea bass (Centropristis striata) and summer flounder (Paralichthys dentatus). Because party anglers were less willing to substitute target species, party vessel operators are likely particularly vulnerable to reductions in fishing opportunity and harvest potential.

Résumé

Les gestionnaires de pêches sportives emploient souvent des hypothèses implicites et rarement validées concernant l’incidence sur l’effort de pêche des réactions à la réglementation. Par exemple, ils postulent souvent que des saisons écourtées réduisent directement l’effort de pêche sans entraîner d’adaptations du comportement des pêcheurs visant à maintenir les occasions de pêche et les prises. Les rapports de sortie d’embarcation pour une pêche multiespèce à forfait au New Jersey (États-Unis) ont permis une évaluation empirique des variations de l’effort de pêche au fil du raccourcissement des saisons de pêche de quatre espèces qui se chevauchent et de la réduction des limites de possession. Nous avons organisé des groupes de discussion avec des parties prenantes à cette pêche, puis élaboré des modèles statistiques pour évaluer différentes hypothèses qui décrivent comment les pêcheurs à bord d’embarcations de pêche à forfait s’adaptent à la réglementation. L’effort de pêche à bord de navires nolisés est demeuré uniforme, s’ajustant principalement à la disponibilité de « quelque chose » à pêcher, ce qui indiquerait que leurs clients sont disposés à changer d’espèces cibles. Les pêcheurs dans des navires de groupe ont pour leur part réagi aux limites de possession de bars noirs (Centropristis striata) et de cardeaux d’été (Paralichthys dentatus). Comme les pêcheurs de navires de groupe sont moins disposés à changer d’espèces cibles, il est probable que les exploitants de tels navires sont particulièrement vulnérables aux baisses des occasions de pêche et du potentiel de prise. [Traduit par la Rédaction]

Get full access to this article

View all available purchase options and get full access to this article.

References

Abbott J.K., Lloyd-Smith P., Willard D., and Adamowicz W. 2018. Status-quo management of marine recreational fisheries undermines angler welfare. Proc. Natl. Acad. Sci. U.S.A. 115: 8948–8953.
ASMFC. 2007. Addendum IV to the Interstate Fishery Management Plan for Tautog. (Online.) Available from http://www.asmfc.org/uploads/file/tautogAddendumIV.pdf.
ASMFC. 2017. Amendment 1 to the Interstate Fishery Management Plan for Tautog. (Online.) Available from http://www.asmfc.org/uploads/file/5a0477c3TautogAmendment1_Oct2017.pdf.
ASMFC. 2018. Addendum XXXII to the summer flounder, scup, and black sea bass fishery management plan. (Online.) Available from http://www.asmfc.org/uploads/file/5c1a6706SF_BSB_AddendumXXXII_Dec2018.pdf.
Bartoń, K. 2020. MuMIn: multi-model inference. R package version 1.43.17. Available from https://CRAN.R-project.org/package=MuMIn.
Beard T.D., Cox S.P., and Carpenter S.R. 2003. Impacts of daily bag limit reductions on angler effort in Wisconsin walleye lakes. N. Am. J. Fish. Manage. 23: 1283–1293.
Beardmore B., Dorow M., Haider W., and Arlinghaus R. 2011a. The elasticity of fishing effort response and harvest outcomes to altered regulatory policies in eel (Anguilla anguilla) recreational angling. Fish. Res. 110: 136–148.
Beardmore B., Haider W., Hunt L.M., and Arlinghaus R. 2011b. The importance of trip context for determining primary angler motivations: Are more specialized anglers more catch-oriented than previously believed? N. Am. J. Fish. Manage. 31: 861–879.
Beaudreau A.H., Chan M.N., and Loring P.A. 2018. Harvest portfolio diversification and emergent conservation challenges in an Alaskan recreational fishery. Biol. Conserv. 222: 268–277.
Bochenek E.A., Powell E.N., and DePersenaire J. 2012. Recall bias in recreational summer flounder party boat trips and angler preferences to new approaches to bag and size limits. Fish. Sci. 78: 1–14.
Box, G.E.P., and Jenkins, G.M. 1970. Time series analysis; forecasting and control. Holden-Day, San Francisco.
Box, G.E.P., Jenkins, G.M., and Reinsel, G.C. 2008. Time series analysis. 4th ed. Wiley Series in Probability and Statistics. John Wiley & Sons, Inc.
Brinson A.A. and Wallmo K. 2017. Determinants of saltwater anglers’ satisfaction with fisheries management: regional perspectives in the United States. N. Am. J. Fish. Manage. 37: 225–234.
Carter D.W., Crosson S., and Liese C. 2015. Nowcasting intraseasonal recreational fishing harvest with internet search volume. PLoS ONE, 10: e0137752.
Chagaris D., Allen M., and Camp E. 2019. Modeling temporal closures in a multispecies recreational fishery reveals tradeoffs associated with species seasonality and angler effort dynamics. Fish. Res. 210: 106–120.
Chan M.N., Beaudreau A.H., and Loring P.A. 2018. Evaluating the recreational fishery management toolbox: Charter captains’ perceptions of harvest controls, limited access, and quota leasing in the guided halibut fishing sector in Alaska. Mar. Pol. 91: 129–135.
Coleman F.C., Figueira W.F., Ueland J.S., and Crowder L.B. 2004. The impact of United States recreational fisheries on marine fish populations. Science, 305: 1958–1960.
Cooke S.J. and Cowx I.G. 2004. The role of recreational fishing in global fish crises. BioScience, 54: 857–859.
Cox S.P., Beard T.D., and Walters C. 2002. Harvest control in open-access sport fisheries: Hot rod or asleep at the reel? Bull. Mar. Sci. 70: 749–761.
Creswell, J.W., and Poth, C.N. 2016. Qualitative inquiry and research design: choosing among five approaches. SAGE Publications.
Dassow C.J., Ross A.J., Jensen O.P., Sass G.G., van Poorten B.T., Solomon C.T., and Jones S.E. 2020. Experimental demonstration of catch hyperstability from habitat aggregation, not effort sorting, in a recreational fishery. Can. J. Fish. Aquat. Sci. 77(4): 762–769.
Duan N. 1983. Smearing estimate: a nonparametric retransformation method. J. Am. Stat. Assoc. 78: 605–610.
Erisman B.E., Pondella D.J., Miller E.F., Murray J.H., Claisse J.T., and Allen L.G. 2011. The illusion of plenty: hyperstability masks collapses in two recreational fisheries that target fish spawning aggregations. Can. J. Fish. Aquat. Sci. 68(10): 1705–1716.
Farmer N.A. and Froeschke J.T. 2015. Forecasting for Recreational Fisheries Management: What’s the Catch? N. Am. J. Fish. Manage. 35: 720–735.
Fulton E.A., Smith A.D.M., Smith D.C., and Putten I.E.V. 2011. Human behaviour: the key source of uncertainty in fisheries management. Fish Fish. 12: 2–17.
Gentner, B. 2004. Examining target species substitution in the face of changing recreational fishing policies. In IIFET 2004 Japan. What are responsible fisheries? (Online.) Available from https://ir.library.oregonstate.edu/concern/conference_proceedings_or_journals/hh63sx03z.
Gerritsen H. and Lordan C. 2011. Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution. ICES J. Mar. Sci. 68: 245–252.
Holzer J. and McConnell K. 2017. Risk Preferences and Compliance in Recreational Fisheries. J. Assoc. Environ. Resour. Econ. 4: S1–S35.
Hunt L.M., Camp E., van Poorten B., and Arlinghaus R. 2019. Catch and Non-catch-related Determinants of Where Anglers Fish: A Review of Three Decades of Site Choice Research in Recreational Fisheries. Rev. Fish. Sci. Aquac. 27: 261–286.
Hyndman, R.J., and Athanasopoulos, G. 2018. Forecasting: principles and practice, 2nd edition. OTexts, Melbourne, Australia. Available from OTexts.com/fpp2 [accessed on 15 July 2020].
Hyndman, R., Athanasopoulos, G., Bergmeir, C., Caceres, G., Chhay, L., O’Hara-Wild, M., et al. 2020. forecast: forecasting functions for time series and linear models. R package version 8.15. Available from https://pkg.robjhyndman.com/forecast/.
Johnston F.D., Arlinghaus R., and Dieckmann U. 2010. Diversity and complexity of angler behaviour drive socially optimal input and output regulations in a bioeconomic recreational-fisheries model. Can. J. Fish. Aquat. Sci. 67(9): 1507–1531.
Lee J., South A.B., and Jennings S. 2010. Developing reliable, repeatable, and accessible methods to provide high-resolution estimates of fishing-effort distributions from vessel monitoring system (VMS) data. ICES J. Mar. Sci. 67: 1260–1271.
Li S., Vogel R., and Viswanathan N. 2019. Demand for saltwater recreational fishing: A generalized demand approach. Ocean Coast. Manage. 179: 104820.
Mackay M., Yamazaki S., Lyle J.M., and Ogier E.M. 2020. Determining management preferences in a multimethod consumptive recreational fishery. Ecol. Soc. 25: art22.
MAFMC. 2018. Black Sea Bass. Scientific and Statistical Committee Meeting. Available from https://www.mafmc.org/ssc-meetings/2018/july-17-18.
MAFMC and ASMFC. 2020. Summer flounder, scup, and black sea bass commercial/recreational allocation amendment: Scoping and public information document. (Online.) Available from https://static1.squarespace.com/static/511cdc7fe4b00307a2628ac6/t/5e1484ee3f8ed65e2080f85e/1578403056336/SFSBSB_allocation_scoping_PID_Jan2020_final.pdf.
McCluskey S.M. and Lewison R.L. 2008. Quantifying fishing effort: a synthesis of current methods and their applications. Fish Fish. 9: 188–200.
McFadden, D. 1974. Conditional logit analysis of qualitative choice behavior. In Frontiers in Econometrics. Edited by P. Zarembka. Academic Press, New York. pp. 105–142.
Melnychuk M.C., Young E.G., Anderson L.E., and Hilborn R. 2021. Trading off retained daily catch for longer seasons to maximize angler benefits in recreational fisheries management. ICES J. Mar. Sci. 78: 1650–1662.
Murray G., Johnson T., McCay B., Danko M., St. Martin K., and Takahashi S. 2010. Creeping enclosure, cumulative effects and the marine commons of New Jersey. Int. J. Commons, 4: 367–389.
NEFSC. 2019. 66th Northeast Regional Stock Assessment Workshop Assessment Summary Report (No. Northeast Fisheries Science Center Reference Document 19-01). US Department of Commerce.
NEFSC. 2020. State of the ecosystem 2020: Mid-Atlantic.
NMFS. 2018. Fisheries Economics of the United States 2016 (NOAA Technical Memorandum No. NMFS-F/SPO-187), Economics and Sociocultural Status and Trends. US Department of Commerce.
NMFS. 2020. Fisheries of the United States, 2018, NOAA Current Fishery Statistics No. 2018. US Department of Commerce.
NOAA. 2007. Magnuson-Stevens fishery conservation and management act provisions; fisheries of the northeastern United States; summer flounder, scup, and black sea bass Fishery Management Plan; Amendment 14. 50 CFR Part 648. Federal Register, 72(140): 40077–40080. Available from https://www.federalregister.gov/documents/2007/07/23/E7-14164/magnuson-stevens-fishery-conservation-and-management-act-provisions-fisheries-of-the-northeastern.
NOAA Fisheries. 2021. Recreational Fishing Data | NOAA Fisheries [WWW Document]. NOAA. Available from https://www.fisheries.noaa.gov/topic/recreational-fishing-data [accessed 4 February 2021].
Northeast Data Poor Stocks Working Group. 2009. The Northeast Data Poor Stocks Working Group Report Part A. [Reference Document.] NOAA, NMFS.
Papacostas, K.J., and Foster, J. 2021. The Marine Recreational Information Program Survey Design and Statistical Methods for Estimation of Recreational Fisheries Catch and Effort. (Online.) Available from https://www.fisheries.noaa.gov/resource/document/survey-design-and-statistical-methods-estimation-recreational-fisheries-catch-and.
Pereira D.L. and Hansen M.J. 2003. A Perspective on Challenges to Recreational Fisheries Management: Summary of the Symposium on Active Management of Recreational Fisheries. N. Am. J. Fish. Manage. 23: 1276–1282.
Post J.R., Sullivan M., Cox S., Lester N.P., Walters C.J., Parkinson E.A., et al. 2002. Canada’s recreational fisheries: The invisible collapse? Fisheries, 27: 6–17.
Powell E.N., Bochenek E.A., and DePersenaire J. 2010. Evaluation of bag-and-size-limit options in the management of summer flounder Paralichthys dentatus. Fish. Res. 105: 215–227.
Powers S.P. and Anson K. 2016. Estimating recreational effort in the Gulf of Mexico red snapper fishery using boat ramp cameras: reduction in federal season length does not proportionally reduce catch. N. Am. J. Fish. Manage. 36: 1156–1166.
Powers S.P. and Anson K. 2018. Compression and relaxation of fishing effort in response to changes in length of fishing season for red snapper (Lutjanus campechanus) in the northern Gulf of Mexico. Fish. Bull. 117: 1–7.
Punt A.E. 2017. Strategic management decision-making in a complex world: quantifying, understanding, and using trade-offs. ICES J. Mar. Sci. 74: 499–510.
R Core Team. 2021. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available from https://www.R-project.org.
Roller, M.R., and Lavrakas, P.J. 2015. Applied qualitative research design: a total quality framework approach. Guilford Publications.
Schroeder S.A. and Fulton D.C. 2013. Comparing catch orientation among Minnesota walleye, northern pike, and bass anglers. Hum. Dimens. Wildl. 18: 355–372.
Steimle, F.W., Zetlin, C.A., Berrien, P.L., Johnson, D.L., and Chang, S. 1999. Essential fish habitat source document. Scup, Stenotomus chrysops, life history and habitat characteristics. NOAA Tech. Memo. NMFS-NE-149. Available from https://repository.library.noaa.gov/view/noaa/3154.
Steinback S.R. 1999. Regional economic impact assessments of recreational fisheries: an application of the IMPLAN modeling system to marine party and charter boat fishing in Maine. N. Am. J. Fish. Manage. 19: 724–736.
Steinback, S., and Brinson, A. 2013. The economics of the recreational for-hire fishing industry in the northeast United States (Reference Document No. 13– 03). NMFS.
Terceiro M. 2011. The summer flounder chronicles II: new science, new controversy, 2001–2010. Rev. Fish Biol. Fish. 21: 681–712.
Terceiro M. 2018. The summer flounder chronicles III: struggling with success, 2011–2016. Rev. Fish Biol. Fish. 28: 381–404.
van Poorten B.T., Cox S.P., and Cooper A.B. 2013. Efficacy of harvest and minimum size limit regulations for controlling short-term harvest in recreational fisheries. Fish. Manage. Ecol. 20: 258–267.
Whitehead J.C., Dumas C.F., Landry C.E., and Herstine J. 2011. Valuing bag limits in the North Carolina charter boat fishery with combined revealed and stated preference data. Mar. Resour. Econ. 26: 233–241.
Wilson K.L., Foos A., Barker O.E., Farineau A., Gisi J.D., and Post J.R. 2020. Social–ecological feedbacks drive spatial exploitation in a northern freshwater fishery: A halo of depletion. J. Appl. Ecol. 57: 206–218.
Young P.C., Pedregal D.J., and Tych W. 1999. Dynamic harmonic regression. J. Forecast. 18: 369–394.
Young E.G., Melnychuk M.C., Anderson L.E., and Hilborn R. 2020. The importance of fishing opportunity to angler utility analysis in marine recreational fisheries. ICES J. Mar. Sci. 77: 2344–2353.

Supplementary Material

Supplementary data (cjfas-2021-0137suppla.docx)

Information & Authors

Information

Published In

cover image Canadian Journal of Fisheries and Aquatic Sciences
Canadian Journal of Fisheries and Aquatic Sciences
Volume 79Number 8August 2022
Pages: 1211 - 1224

History

Received: 25 May 2021
Accepted: 12 January 2022
Accepted manuscript online: 26 January 2022
Version of record online: 26 January 2022

Permissions

Request permissions for this article.

Authors

Affiliations

Ashley Trudeau* [email protected]
Center for Limnology, University of Wisconsin, Madison, Wisc., USA.
Department of Marine and Coastal Sciences, Rutgers University, New Brunswick, N.J., USA.
Graduate Program in Ecology and Evolution, Rutgers University, New Brunswick, N.J., USA.
Eleanor A. Bochenek
Fisheries Cooperative Center, Haskin Shellfish Research Laboratory, Rutgers University, Cape May, N.J., USA.
Abigail S. Golden
Department of Marine and Coastal Sciences, Rutgers University, New Brunswick, N.J., USA.
Graduate Program in Ecology and Evolution, Rutgers University, New Brunswick, N.J., USA.
School of Aquatic and Fishery Sciences, University of Washington, Seattle, Wash., USA.
Michael C. Melnychuk
School of Aquatic and Fishery Sciences, University of Washington, Seattle, Wash., USA.
Douglas R. Zemeckis
Department of Agriculture and Natural Resources, Rutgers University, New Brunswick, N.J., USA.
Olaf P. Jensen*
Center for Limnology, University of Wisconsin, Madison, Wisc., USA.
Department of Marine and Coastal Sciences, Rutgers University, New Brunswick, N.J., USA.

Notes

*
Present address: Center for Limnology, University of Wisconsin, Madison, Wisc., USA.
Present address: School of Aquatic and Fishery Sciences, University of Washington, Seattle, Wash., USA.

Funding Information

This publication is the result of work sponsored by New Jersey Sea Grant with funds from the National Oceanic and Atmospheric Administration (NOAA) Office of Sea Grant, US Department of Commerce, under NOAA grant No. NA10OAR4170085 and the New Jersey Sea Grant Consortium, NJSG-21-977. ASG is supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. NSF DGE-1842213.

Metrics & Citations

Metrics

Other Metrics

Citations

Cite As

Export Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

1. Willingness to pay for harvest regulations and catch outcomes in recreational fisheries: A stated preference study of German cod anglers
2. The Ambiguity of Fishing for Fun

View Options

Get Access

Login options

Check if you access through your login credentials or your institution to get full access on this article.

Subscribe

Click on the button below to subscribe to Canadian Journal of Fisheries and Aquatic Sciences

Purchase options

Purchase this article to get full access to it.

Restore your content access

Enter your email address to restore your content access:

Note: This functionality works only for purchases done as a guest. If you already have an account, log in to access the content to which you are entitled.

View options

PDF

View PDF

Full Text

View Full Text

Media

Media

Other

Tables

Share Options

Share

Share the article link

Share on social media