Annual Report - 2021 Data collection and analysis in support of single and multispecies stock assessments in Chesapeake Bay: The Chesapeake Bay Multispecies Monitoring and Assessment Program
Bonzek, Christopher F Gartland, James Gauthier, Debra J. Latour, Robert J.
Bonzek, Christopher F
Gartland, James
Gauthier, Debra J.
Latour, Robert J.
Abstract
Historically, fisheries management has been based on the results of single-species stock assessment models that focus on the interplay between exploitation level and sustainability. There currently exists a suite of standard and accepted analytical frameworks (e.g., virtual population analysis (VPA), biomass dynamic production modeling, delay difference models, etc.) for assessing the stocks, projecting future stock size, evaluating recovery schedules and rebuilding strategies for overfished stocks, setting allowable catches, and estimating fishing mortality or exploitation rates. A variety of methods also exist to integrate the biological system and the fisheries resource system, thereby enabling the evaluation of alternative management strategies on stock status and fishery performance. These well-established approaches have specific data requirements involving biological (life history), fisheries-dependent, and fisheries-independent data (Table 1). From these, there are two classes of stock assessment or modeling approaches used in fisheries: partial assessment based solely on understanding the biology of a species, and full analytical assessment including both biological and fisheries data.
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Date
2022-06-01
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Keywords
Chesapeake Bay Multispecies Monitoring and Assessment Program (ChesMMAP)
Research and Technical Reports, Fisheries, Atlantic, Data
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Virginia Institute of Marine Science
DOI
https://doi.org/10.25773/k7xj-e205