Evaluating spatial and temporal variability in growth and mortality for recreational fisheries with limited catch data

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dc.contributor.authorLi, Yanen
dc.contributor.authorWagner, Tyler K.en
dc.contributor.authorJiao, Yanen
dc.contributor.authorLorantas, Roberten
dc.contributor.authorMurphy, Cheryl A.en
dc.contributor.departmentFish and Wildlife Conservationen
dc.date.accessioned2020-07-06T14:11:35Zen
dc.date.available2020-07-06T14:11:35Zen
dc.date.issued2018-09en
dc.description.abstractUnderstanding the spatial and temporal variability in life-history traits among populations is essential for the management of recreational fisheries. However, valuable freshwater recreational fish species often suffer from a lack of catch information. In this study, we demonstrated the use of an approach to estimate the spatial and temporal variability in growth and mortality in the absence of catch data and apply the method to riverine smallmouth bass (Micropterus dolomieu) populations in Pennsylvania, USA. Our approach included a growth analysis and a length-based analysis that estimates mortality. Using a hierarchical Bayesian approach, we examined spatial variability in growth and mortality by assuming parameters vary spatially but remain constant over time and temporal variability by assuming parameters vary spatially and temporally. The estimated growth and mortality of smallmouth bass showed substantial variability over time and across rivers. We explored the relationships of the estimated growth and mortality with spring water temperature and spring flow. Growth rate was likely to be positively correlated with these two factors, while young mortality was likely to be positively correlated with spring flow. The spatially and temporally varying growth and mortality suggest that smallmouth bass populations across rivers may respond differently to management plans and disturbance such as environmental contamination and land-use change. The analytical approach can be extended to other freshwater recreational species that also lack of catch data. The approach could also be useful in developing population assessments with erroneous catch data or be used as a model sensitivity scenario to verify traditional models even when catch data are available.en
dc.description.adminPublic domain – authored by a U.S. government employeeen
dc.description.notesWe thank Valery Forbes, Dana Kolpin, Vicki Blazer, Patrick Phillips, Donald Tillitt, and Kelly Smalling for discussions that helped improve this manuscript. This research was supported by the US Geological Survey Contaminants Biology Program. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US Government.en
dc.description.sponsorshipUS Geological Survey Contaminants Biology Programen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1139/cjfas-2017-0052en
dc.identifier.eissn1205-7533en
dc.identifier.issn0706-652Xen
dc.identifier.issue9en
dc.identifier.urihttp://hdl.handle.net/10919/99273en
dc.identifier.volume75en
dc.language.isoenen
dc.rightsCreative Commons CC0 1.0 Universal Public Domain Dedicationen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.titleEvaluating spatial and temporal variability in growth and mortality for recreational fisheries with limited catch dataen
dc.title.serialCanadian Journal of Fisheries and Aquatic Sciencesen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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