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Estimating consumption to biomass ratio in non-stationary harvested fish populations

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Estimating consumption to biomass ratio in non-stationary harvested fish populations. / Wiff, Rodrigo; Roa-Ureta, Ruben H.; Borchers, David L.; Milessi, Andrés C.; Barrientos, Mauricio A.

In: PLoS ONE, Vol. 10, No. 11, e0141538, 03.11.2015.

Research output: Contribution to journalArticle

Harvard

Wiff, R, Roa-Ureta, RH, Borchers, DL, Milessi, AC & Barrientos, MA 2015, 'Estimating consumption to biomass ratio in non-stationary harvested fish populations', PLoS ONE, vol. 10, no. 11, e0141538. https://doi.org/10.1371/journal.pone.0141538

APA

Wiff, R., Roa-Ureta, R. H., Borchers, D. L., Milessi, A. C., & Barrientos, M. A. (2015). Estimating consumption to biomass ratio in non-stationary harvested fish populations. PLoS ONE, 10(11), [e0141538]. https://doi.org/10.1371/journal.pone.0141538

Vancouver

Wiff R, Roa-Ureta RH, Borchers DL, Milessi AC, Barrientos MA. Estimating consumption to biomass ratio in non-stationary harvested fish populations. PLoS ONE. 2015 Nov 3;10(11). e0141538. https://doi.org/10.1371/journal.pone.0141538

Author

Wiff, Rodrigo ; Roa-Ureta, Ruben H. ; Borchers, David L. ; Milessi, Andrés C. ; Barrientos, Mauricio A. / Estimating consumption to biomass ratio in non-stationary harvested fish populations. In: PLoS ONE. 2015 ; Vol. 10, No. 11.

Bibtex - Download

@article{b19ef58c685645acb8dbc7a95a1056dd,
title = "Estimating consumption to biomass ratio in non-stationary harvested fish populations",
abstract = "The food consumption to biomass ratio (C) is one of the most important population parameters in ecosystem modelling because its quantifies the interactions between predator and prey. Existing models for estimating C in fish populations are per-recruit cohort models or empirical models, valid only for stationary populations. Moreover, empirical models lack theoretical support. Here we develop a theory and derive a general modelling framework to estimate C in fish populations, based on length frequency data and the generalised von Bertalanffy growth function, in which models for stationary populations with a stable-age distributions are special cases. Estimates using our method are compared with estimates from per-recruit cohort models for C using simulated harvested fish populations of different lifespans. The models proposed here are also applied to three fish populations that are targets of commercial fisheries in southern Chile. Uncertainty in the estimation of C was evaluated using a resampling approach. Simulations showed that stationary and non-stationary population models produce different estimates for C and those differences depend on the lifespan, fishing mortality and recruitment variations. Estimates of C using the new model exhibited smoother inter-annual variation in comparison with a per-recruit model estimates and they were also smaller than C predicted by the empirical equations in all population assessed.",
author = "Rodrigo Wiff and Roa-Ureta, {Ruben H.} and Borchers, {David L.} and Milessi, {Andr{\'e}s C.} and Barrientos, {Mauricio A.}",
year = "2015",
month = "11",
day = "3",
doi = "10.1371/journal.pone.0141538",
language = "English",
volume = "10",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "11",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Estimating consumption to biomass ratio in non-stationary harvested fish populations

AU - Wiff, Rodrigo

AU - Roa-Ureta, Ruben H.

AU - Borchers, David L.

AU - Milessi, Andrés C.

AU - Barrientos, Mauricio A.

PY - 2015/11/3

Y1 - 2015/11/3

N2 - The food consumption to biomass ratio (C) is one of the most important population parameters in ecosystem modelling because its quantifies the interactions between predator and prey. Existing models for estimating C in fish populations are per-recruit cohort models or empirical models, valid only for stationary populations. Moreover, empirical models lack theoretical support. Here we develop a theory and derive a general modelling framework to estimate C in fish populations, based on length frequency data and the generalised von Bertalanffy growth function, in which models for stationary populations with a stable-age distributions are special cases. Estimates using our method are compared with estimates from per-recruit cohort models for C using simulated harvested fish populations of different lifespans. The models proposed here are also applied to three fish populations that are targets of commercial fisheries in southern Chile. Uncertainty in the estimation of C was evaluated using a resampling approach. Simulations showed that stationary and non-stationary population models produce different estimates for C and those differences depend on the lifespan, fishing mortality and recruitment variations. Estimates of C using the new model exhibited smoother inter-annual variation in comparison with a per-recruit model estimates and they were also smaller than C predicted by the empirical equations in all population assessed.

AB - The food consumption to biomass ratio (C) is one of the most important population parameters in ecosystem modelling because its quantifies the interactions between predator and prey. Existing models for estimating C in fish populations are per-recruit cohort models or empirical models, valid only for stationary populations. Moreover, empirical models lack theoretical support. Here we develop a theory and derive a general modelling framework to estimate C in fish populations, based on length frequency data and the generalised von Bertalanffy growth function, in which models for stationary populations with a stable-age distributions are special cases. Estimates using our method are compared with estimates from per-recruit cohort models for C using simulated harvested fish populations of different lifespans. The models proposed here are also applied to three fish populations that are targets of commercial fisheries in southern Chile. Uncertainty in the estimation of C was evaluated using a resampling approach. Simulations showed that stationary and non-stationary population models produce different estimates for C and those differences depend on the lifespan, fishing mortality and recruitment variations. Estimates of C using the new model exhibited smoother inter-annual variation in comparison with a per-recruit model estimates and they were also smaller than C predicted by the empirical equations in all population assessed.

UR - http://www.scopus.com/inward/record.url?scp=84951129127&partnerID=8YFLogxK

U2 - 10.1371/journal.pone.0141538

DO - 10.1371/journal.pone.0141538

M3 - Article

VL - 10

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 11

M1 - e0141538

ER -

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