Principles for estimating natural mortality rate

In contemporary stock assessments there is increasing emphasis on how natural mortality varies with time, age, and space. But, little guidance is available for estimating this parameter. We maintain that in an exploited population, with few exceptions, contrast in fishing mortality in the data is needed to separate fishing mortality from natural mortality. Variability (contrast) in fishing mortality can be over time (inter- or intra-annual), space, and ontogeny. (The exceptions where contrast in fishing mortality is not needed are cases where information is available on population size and total catch.) High contrast in fishing mortality results in enhanced ability to estimate natural mortality. It follows that study design can be manipulated to achieve greater contrast and make more effective use of existing contrast. Integrated stock assessments afford the opportunity to enhance the needed contrast, provided the contrast is modeled explicitly. • Natural mortality rate, “M”, is an important parameter in assessments of fishery stocks. • There is little guidance in the literature on how to design a study to estimate M. • Contrast (variability) in fishing mortality enhances the ability to estimate natural mortality. • The existence of contrast in fishing mortality is often required for obtaining estimates of M. • Contrast can occur over time (within and among years), age or size, and over space.

Authors

Institutions

Publication Details

Journal
Fisheries Research
Published
2024-10-16
DOI
https://doi.org/10.1016/j.fishres.2024.107195
Citations
2
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
3.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Principles for estimating natural mortality rate

John M. Hoenig, Robert J. Latour, William S. Hearn, George M. Leigh
2 citations
Fisheries Research
Insurance, Mortality, Demography, Risk Management
3.42
article

Principles for estimating natural mortality rate

John M. Hoenig, Robert J. Latour, William S. Hearn, George M. Leigh
article en
2 citations

Abstract

In contemporary stock assessments there is increasing emphasis on how natural mortality varies with time, age, and space. But, little guidance is available for estimating this parameter. We maintain that in an exploited population, with few exceptions, contrast in fishing mortality in the data is needed to separate fishing mortality from natural mortality. Variability (contrast) in fishing mortality can be over time (inter- or intra-annual), space, and ontogeny. (The exceptions where contrast in fishing mortality is not needed are cases where information is available on population size and total catch.) High contrast in fishing mortality results in enhanced ability to estimate natural mortality. It follows that study design can be manipulated to achieve greater contrast and make more effective use of existing contrast. Integrated stock assessments afford the opportunity to enhance the needed contrast, provided the contrast is modeled explicitly. • Natural mortality rate, “M”, is an important parameter in assessments of fishery stocks. • There is little guidance in the literature on how to design a study to estimate M. • Contrast (variability) in fishing mortality enhances the ability to estimate natural mortality. • The existence of contrast in fishing mortality is often required for obtaining estimates of M. • Contrast can occur over time (within and among years), age or size, and over space.

Fisheries ResearchVol. 281
NSW Department of Education (AU), William & Mary (US), Virginia Sea Grant (US), Department of Primary Industries (AU)
Openalex Percentile: Top 7%
Insurance, Mortality, Demography, Risk Management
3.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Principles for estimating natural mortality rate — John M. Hoenig, Robert J. Latour, et al. · Fisheries Research (2024) | TGRS Research Map | TGRS