Environmental and anthropogenic influences on spatiotemporal dynamics of Alosa in Chesapeake Bay tributaries

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dc.contributor.authorBi, Rujiaen
dc.contributor.authorJiao, Yanen
dc.contributor.authorWeaver, L. Alanen
dc.contributor.authorGreenlee, Robert S.en
dc.contributor.authorMcClair, Genineen
dc.contributor.authorKipp, Jeffen
dc.contributor.authorWilke, Kateen
dc.contributor.authorHaas, Carola A.en
dc.contributor.authorSmith, Eric P.en
dc.date.accessioned2021-11-22T17:49:34Zen
dc.date.available2021-11-22T17:49:34Zen
dc.date.issued2021-06en
dc.description.abstractAmerican Shad (Alosa sapidissima), Hickory Shad (A. mediocris), and river herrings (Alewife A. pseudoharengus and Blueback Herring A. aestivalis) are anadromous pelagic fishes, which as adults spend most of the annual cycle at sea, but enter the coastal rivers in spring to spawn. Once as one of the most valuable fisheries along the Atlantic coast, Alosa populations have declined in recent decades and current populations are at historic lows. Various management actions have been conducted to restore the populations, and stocks in different river systems display different demographic trends. Demonstration of synthetic diagnostics on the factors impacting these populations is important to better conserve this species group. We developed a Bayesian hierarchical spatiotemporal model to identify the population trends of these species among rivers in the Chesapeake Bay based on results of surveys conducted by the Virginia Department of Game and Inland Fisheries and Maryland Department of Natural Resources and to identify environmental and anthropogenic factors influencing their distribution and abundance. The hierarchical model structure helped to diagnose river-specific population trends and impacts of surrounding factors, and decrease uncertainties in rivers with less samples available. The results demonstrate river-specific heterogeneity of spatiotemporal dynamics of these species and indicate river-specific impacts of multiple factors, including water temperature, river flow, chlorophyll a concentration, and total phosphorus concentration, on their population dynamics. Atlantic Multidecadal Oscillation and Gulf Stream meanders displayed significant influence on the inter-annual trends of Alosa species in rivers with more data available. The results would help to develop river- and species-specific management strategies to recover these species.en
dc.description.notesWe acknowledge supporters, including Virginia Tech, Virginia Department of Game and Inland Fisheries, Maryland Department of Natural Resources, and Atlantic States Marine Fisheries Commission. We would like to thank Dr. Can Zhou for his help on model development. We also acknowledge Advanced Research Computing at Virginia Tech () for providing computational resources and technical support that have contributed to the results reported within this paper. Attention to the comments of the associate editor and anonymous reviewers led to strengthening of the manuscript.en
dc.description.sponsorshipVirginia Tech; Virginia Department of Game and Inland Fisheries; Maryland Department of Natural Resources; Atlantic States Marine Fisheries Commissionen
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1002/ecs2.3544en
dc.identifier.issn2150-8925en
dc.identifier.issue6en
dc.identifier.othere03544en
dc.identifier.urihttp://hdl.handle.net/10919/106708en
dc.identifier.volume12en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectAlosaen
dc.subjectBayesian hierarchical modelen
dc.subjectclimate oscillationsen
dc.subjectenvironmental and anthropogenic influenceen
dc.subjectriver-specific heterogeneityen
dc.subjectspatiotemporal dynamicsen
dc.titleEnvironmental and anthropogenic influences on spatiotemporal dynamics of Alosa in Chesapeake Bay tributariesen
dc.title.serialEcosphereen
dc.typeArticle - Refereeden
dc.type.dcmitypetexten

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