Literature DB >> 22227065

The role of harvesting in age-structured populations: disentangling dynamic and age truncation effects.

Anders Wikström1, Jörgen Ripa, Niclas Jonzén.   

Abstract

Understanding the processes generating fluctuations of natural populations lies at the very heart of academic ecology. It is also very important for applications such as fisheries management and pest control. We are interested in the effect of harvesting on population fluctuations and for that purpose we develop and analyze an age-structured model where recruitment is a stochastic process and the adult segment of the population is harvested. When a constant annual harvest is taken the coefficient of variation of the adult population increases for most parameter values due to the age truncation effect, i.e. an increased variability in a juvenescent population due to the removal of older individuals. However, if a constant proportion of the adults is harvested the age truncation effect is sometimes counteracted by a stabilizing dynamic effect of harvesting. Depending on parameter values mirroring different life histories, proportional harvest can either increase or decrease the relative fluctuations of an exploited population. When there is a demographic Allee effect the ratio of juveniles to adults may actually decrease with harvesting. We conclude that, depending on life history and harvest strategy, harvesting can either reinforce or dampen population fluctuations due to the relative importance of stabilizing dynamic effects and the age truncation effect. The strength of the latter is highly dependent on the fished population's endogenous, age-structured dynamics. More specifically, we predict that populations with strong and positively autocorrelated dynamics will show stronger age truncation effect, a testable prediction that offers a simple rule-of-thumb assessment of a population's vulnerability to exploitation.
Copyright © 2011 Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 22227065     DOI: 10.1016/j.tpb.2011.12.008

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  4 in total

1.  A concept of Bayesian regulation in fisheries management.

Authors:  Noél Michael André Holmgren; Niclas Norrström; Robert Aps; Sakari Kuikka
Journal:  PLoS One       Date:  2014-11-03       Impact factor: 3.240

2.  Assessing trade-offs to inform ecosystem-based fisheries management of forage fish.

Authors:  Andrew Olaf Shelton; Jameal F Samhouri; Adrian C Stier; Philip S Levin
Journal:  Sci Rep       Date:  2014-11-19       Impact factor: 4.379

3.  Harvested populations are more variable only in more variable environments.

Authors:  Tom C Cameron; Daniel O'Sullivan; Alan Reynolds; Joseph P Hicks; Stuart B Piertney; Tim G Benton
Journal:  Ecol Evol       Date:  2016-05-24       Impact factor: 2.912

4.  Trait-based predictions and responses from laboratory mite populations to harvesting in stochastic environments.

Authors:  Isabel M Smallegange; Hedwig M Ens
Journal:  J Anim Ecol       Date:  2018-07       Impact factor: 5.091

  4 in total

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