How fisher behavior can bias stock assessment: insights from an agent-based modeling approach

Saul, Steven; Brooks, Elizabeth N.; Die, David

doi:10.1139/cjfas-2019-0025

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

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How fisher behavior can bias stock assessment: insights from an agent-based modeling approach

2020
By Saul, Steven ; Brooks, Elizabeth N. ; Die, David
Source: Canadian Journal of Fisheries and Aquatic Sciences, 77(11), 1794-1809

[PDF-2.72 MB]

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Journal Title:

Canadian Journal of Fisheries and Aquatic Sciences
Personal Author:

Saul, Steven ; Brooks, Elizabeth N. ; Die, David

Saul, Steven ; Brooks, Elizabeth N. ; Die, David Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; NEFSC (Northeast Fisheries Science Center) ; OAR (Oceanic and Atmospheric Research)

NMFS (National Marine Fisheries Service) ; NEFSC (Northeast Fisheries Science Center) ; OAR (Oceanic and Atmospheric Research) Less -
Description:

During stock assessment, fishery-dependent observations are often used to develop indices of abundance or biomass from catch per unit of effort (CPUE) and contribute catch at size or age information. However, fisher behavior, rather than scientific sampling protocols, determines the spatial and temporal locations of fishery-dependent observations. As a result, trends from fishery-dependent data may be a function of fishing activity rather than fish population changes. This study evaluates whether data collected from commercial fishing fleets in the Gulf of Mexico are representative of trends in fish population size. A coupled bioeconomic agent-based model was developed to generate simulated fishery data, which were used to populate an age-structured stock assessment. Comparison of stock assessment results with simulated fish population dynamics showed that management advice from assessment models based on fishery-dependent data could be biased. Assessment of fish with small home ranges harvested by fishing fleets that frequent the same fishing grounds could cause overestimation of fishing mortality. Not accounting for the spatial structure of the fishers or fish can cause biased estimates of population status.
Source:

Canadian Journal of Fisheries and Aquatic Sciences, 77(11), 1794-1809
DOI:

https://doi.org/10.1139/cjfas-2019-0025
ISSN:

0706-652X;1205-7533;
Format:

pdf
Publisher:

Canadian Science Publishing
Document Type:

Journal Article
Funding:

Grant no. NA08OAR4170763
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urn:sha-512:ec9282aec0633faf3364f0c65739779f31c24c94173844f419c6c845ee54598fc0c79214ec715ce97fc11e2ed208e53272f56296032a57d8fb87c39321150dd2
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How fisher behavior can bias stock assessment: insights from an agent-based modeling approach

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