Predicting recruitment density dependence and intrinsic growth rate for all fishes worldwide using a data‐integrated life‐history model

Thorson, James T.

doi:10.1111/faf.12427

i

Predicting recruitment density dependence and intrinsic growth rate for all fishes worldwide using a data‐integrated life‐history model

Supporting Files

2019
By Thorson, James T.

Details

Journal Title:

Fish and Fisheries
Personal Author:

Thorson, James T.
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; AFSC (Alaska Fisheries Science Center) ; NWFSC (Northwest Fisheries Science Center)
Description:

Fisheries scientists use biological models to determine sustainable fishing rates and forecast future dynamics. These models require both life-history parameters (mortal - ity, maturity, growth) and stock-recruit parameters (juvenile production). However, there has been little research to simultaneously predict life-history and stock-recruit parameters. I develop the first data-integrated life-history model, which extends a simple model of evolutionary dynamics to field measurements of life-history pa - rameters as well as historical records of spawning output and subsequent recruit - ment. This evolutionary model predicts recruitment productivity (steepness) and variability (variance and autocorrelation in recruitment deviations) as well as mortal -
Keywords:

Aquatic Science Ecology, Evolution, Behavior And Systematics Management, Monitoring, Policy And Law Oceanography Ecology, Evolution, Behavior And Systematics Management, Monitoring, Policy And Law Ecology, Evolution, Behavior And Systematics Management, Monitoring, Policy And Law
Source:

Fish and Fisheries, 21(2), 237-251
DOI:

https://doi.org/10.1111/faf.12427
ISSN:

1467-2960 ; 1467-2979
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Rights Statement:

This article is a U.S. Government work and is in the public domain in the USA
Compliance:

Library
Main Document Checksum:

urn:sha256:b8775a7791bafe5d6fb7041c5f3d6b0a43e2961c17154625fd05215430d7d263
Download URL:

https://repository.library.noaa.gov/view/noaa/54871/noaa_54871_DS1.pdf
File Type:

[PDF - 2.34 MB ]

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