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Revisiting the concept of Beverton–Holt life-history invariants with the aim of informing data-poor fisheries assessment
Citation
Prince, J and Hordyk, A and Valencia, SR and Loneragan, N and Sainsbury, K, Revisiting the concept of Beverton-Holt life-history invariants with the aim of informing data-poor fisheries assessment, ICES Journal of Marine Science, 72, (1) pp. 194-203. ISSN 1054-3139 (2015) [Refereed Article]
Copyright Statement
Copyright 2014 International Council for the Exploration of the Sea
DOI: doi:10.1093/icesjms/fsu011
Abstract
The complexity and cost of assessment techniques prohibits their application to 90% of fisheries. Simple generic approaches are needed
for the world’s small-scale and data-poor fisheries. This meta-analysis of the relationship between spawning potential and the normalized
size and age of 123 marine species suggests that the so-called Beverton–Holt life-history invariants (BH-LHI; Lm/L1, M/k, M × Agem) actually
vary together in relation to life-history strategy, determining the relationship between size, age, and reproductive potential for each
species. Although little realized, the common assumption of unique values for the BH-LHI also implies that all species share the same relationship
between size, age, and reproductive potential. This implicit assumption is not supported by this meta-analysis, which suggests
that there is considerable but predictable natural variation in the BH-LHI ratios and the relationships between size, age, and reproductive
potential that they determine. We believe that this reconceptualization of the BH-LHI has potential to provide a theoretical framework for
"borrowing" knowledge from well-studied species to apply to related, unstudied species and populations, and when applied together with
the assessment technique described by Hordyk et al. (this issue b), could make simple forms of size-based assessment possible for many
currently unassessable fish stocks.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | Beverton–Holt life-history invariant, data-poor assessment, parameter estimation |
| Research Division: | Environmental Sciences |
| Research Group: | Environmental management |
| Research Field: | Natural resource management |
| Objective Division: | Animal Production and Animal Primary Products |
| Objective Group: | Fisheries - wild caught |
| Objective Field: | Fisheries - wild caught not elsewhere classified |
| UTAS Author: | Sainsbury, K (Professor Keith Sainsbury) |
| ID Code: | 95496 |
| Year Published: | 2015 |
| Web of Science® Times Cited: | 52 |
| Deposited By: | Sustainable Marine Research Collaboration |
| Deposited On: | 2014-10-03 |
| Last Modified: | 2017-10-31 |
| Downloads: | 0 |
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