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Temporally structured density-dependence and population management

Jonzén, Niclas LU and Lundberg, Per LU (1999) In Annales Zoologici Fennici 36(1). p.39-44
Abstract
We used a simple discrete-time population model to investigate how temporally structured density-dependence influences a population's response to loss due to harvesting. We assumed that reproduction is a relative discrete event in time, followed by density-dependent mortality and then harvesting, or followed by harvesting and then density-dependent mortality. Such an ordering of events in time may have profound influences on the dynamics of the population. The extra mortality due to harvesting may either be additive or compensatory depending on the strength of the density-dependence and the ordering of events. Population stability is also strongly affected by the temporal structure of density-dependence. Moreover, the yield and the... (More)
We used a simple discrete-time population model to investigate how temporally structured density-dependence influences a population's response to loss due to harvesting. We assumed that reproduction is a relative discrete event in time, followed by density-dependent mortality and then harvesting, or followed by harvesting and then density-dependent mortality. Such an ordering of events in time may have profound influences on the dynamics of the population. The extra mortality due to harvesting may either be additive or compensatory depending on the strength of the density-dependence and the ordering of events. Population stability is also strongly affected by the temporal structure of density-dependence. Moreover, the yield and the (unconstrained) optimal harvest rate will vary depending on when harvesting occurs in the annual cycle. We argue that a correct identification of the temporal structure of density-dependence may be of great importance for understanding population dynamics in general and population management in particular. (Less)
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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Annales Zoologici Fennici
volume
36
issue
1
pages
39 - 44
publisher
Finnish Zoological and Botanical Publishing Board
external identifiers
  • scopus:0033026188
ISSN
0003-455X
language
English
LU publication?
yes
id
9f7f5751-96d4-4639-89fc-75a1de761cf7 (old id 765970)
alternative location
http://www.sekj.org/PDF/anzf36/anzf36-039p.pdf
date added to LUP
2016-04-01 16:51:40
date last changed
2022-02-28 00:11:04
@article{9f7f5751-96d4-4639-89fc-75a1de761cf7,
  abstract     = {{We used a simple discrete-time population model to investigate how temporally structured density-dependence influences a population's response to loss due to harvesting. We assumed that reproduction is a relative discrete event in time, followed by density-dependent mortality and then harvesting, or followed by harvesting and then density-dependent mortality. Such an ordering of events in time may have profound influences on the dynamics of the population. The extra mortality due to harvesting may either be additive or compensatory depending on the strength of the density-dependence and the ordering of events. Population stability is also strongly affected by the temporal structure of density-dependence. Moreover, the yield and the (unconstrained) optimal harvest rate will vary depending on when harvesting occurs in the annual cycle. We argue that a correct identification of the temporal structure of density-dependence may be of great importance for understanding population dynamics in general and population management in particular.}},
  author       = {{Jonzén, Niclas and Lundberg, Per}},
  issn         = {{0003-455X}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{39--44}},
  publisher    = {{Finnish Zoological and Botanical Publishing Board}},
  series       = {{Annales Zoologici Fennici}},
  title        = {{Temporally structured density-dependence and population management}},
  url          = {{http://www.sekj.org/PDF/anzf36/anzf36-039p.pdf}},
  volume       = {{36}},
  year         = {{1999}},
}