Abstract

AbstractAimClimate change has influenced the distribution and phenology of marine species, globally. However, knowledge of the impacts of climate change is lacking for many species that support valuable recreational fisheries. Cobia (Rachycentron canadum) are the target of an important recreational fishery along the U.S. east coast that is currently the subject of a management controversy regarding allocation and stock structure. Further, the current and probable future distributions of this migratory species are unclear, further complicating decision‐making. The objectives of this study are to better define the contemporary distribution of cobia along the U.S. east coast and to project potential shifts in distribution and phenology under future climate change scenarios.LocationChesapeake Bay and the U.S. east coast.MethodsWe developed a depth‐integrated habitat suitability model using archival tagging data from cobia that were caught and tagged in Chesapeake Bay during summer months and coupled those data with high‐resolution ocean models to project the contemporary and future distributions of cobia along U.S. east coast.ResultsDuring the winter months, suitable cobia habitat currently occurs in offshore waters off North Carolina and further south, whereas during the summer months, suitable habitat occurs in waters from Florida to southern New England. In warmer years, the availability of suitable habitat increases in northern latitudes. Under continued climate change over the next 40–80 years, suitable habitat is projected to shift northward and decrease over the shelf.Main conclusionsHabitat distributions suggest cobia overwinter offshore and could inhabit waters further north during warmer months, into state jurisdictions that do not have strict management regulations for cobia. When waters are warmer, distributions are projected to shift poleward and seasonal migrations may begin earlier. These results can inform resource allocation discussions between fishery managers and resource users.

Highlights

  • The distribution of many marine species has been changing worldwide as a result of climate change (Kleisner et al, 2016; Morley et al, 2018; Sunday, Bates, & Dulvy, 2012)

  • Archival datasets generated from pop-off satellite archival tags (PSATs) or other data storage tags provide continuous records of temperature and depth of the animal, which allow habitats to be modelled in 3 dimensions (3D)

  • We have developed an approach that can be applied to species that are ecologically and recreationally important like cobia that are not caught in large numbers in commercial fisheries or fishery-independent surveys and are underrepresented in species distribution modelling studies

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Summary

| INTRODUCTION

The distribution of many marine species has been changing worldwide as a result of climate change (Kleisner et al, 2016; Morley et al, 2018; Sunday, Bates, & Dulvy, 2012). Archival datasets generated from pop-off satellite archival tags (PSATs) or other data storage tags provide continuous records of temperature and depth of the animal, which allow habitats to be modelled in 3 dimensions (3D) These types of tags can be fitted to species that may not be regularly caught in fishery dependent and independent surveys. In the spring and early summer, Atlantic cobia migrate to inshore waters to spawn in bays and estuaries in North and South Carolina and within Chesapeake Bay (Shaffer & Nakamura, 1989) Over this time period (May-September), cobia are heavily targeted by recreational fishers, with the highest landings occurring in Virginia and North Carolina waters. The findings can be generalized to approaches needed for a wide range of coastal migratory species

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Findings
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