Literature DB >> 28310171

What are the advantages of dispersing; a paper by Kuno explained and extended.

J A J Metz1, T J de Jong2, P G L Klinkhamer2.   

Abstract

Contrary to Kuno's (1981) contention, dispersing does not help and individual to get a larger average progeny in an unpredictable and heterogeneous but nonlimiting environment: average progeny is exactly equal for (partially) dispersing and nondispersing populations. However, the geometric time averages of pro-capita reproduction as well as geometric averages over replicates of final progeny size after a fixed number of years differ, just as Kuno asserts. Moreover, if populations of the two types are grown in mixed culture it is the disperser who will win in the long run. This even applies if dispersal means the incurring of some additional mortality. Models with partial dispersal are much more complicated to deal with than models with either a complete redistribution each generation or no dispersal at all, contrary to the assertion of e.g. Venable and Lawlor (1980). Partial dispersers will win from nondispersers, but the optimal amount of dispersal unfortunately seems to depend sensitively on the details of the model specification, except that it has to be small if the number of independent patches is large.

Year:  1983        PMID: 28310171     DOI: 10.1007/BF00379576

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  4 in total

1.  Dispersal and the persistence of populations in unstable habitats: A theoretical note.

Authors:  Eizi Kuno
Journal:  Oecologia       Date:  1981-05       Impact factor: 3.225

2.  Delayed germination and dispersal in desert annuals: Escape in space and time.

Authors:  D Lawrence Venable; Lawrence Lawlor
Journal:  Oecologia       Date:  1980-01       Impact factor: 3.225

3.  On population growth in a randomly varying environment.

Authors:  R C Lewontin; D Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  1969-04       Impact factor: 11.205

4.  Optimizing reproduction in a randomly varying environment.

Authors:  D Cohen
Journal:  J Theor Biol       Date:  1966-09       Impact factor: 2.691

  4 in total
  4 in total

1.  Evolution of condition-dependent dispersal under kin competition.

Authors:  Mats Gyllenberg; Eva Kisdi; Margarete Utz
Journal:  J Math Biol       Date:  2008-02-08       Impact factor: 2.259

2.  Persistence in fluctuating environments for interacting structured populations.

Authors:  Gregory Roth; Sebastian J Schreiber
Journal:  J Math Biol       Date:  2013-12-06       Impact factor: 2.259

3.  Persistence and extinction for stochastic ecological models with internal and external variables.

Authors:  Michel Benaïm; Sebastian J Schreiber
Journal:  J Math Biol       Date:  2019-05-03       Impact factor: 2.259

4.  Does Tetranychus urticae (Acari: Tetranychidae) use flying insects as vectors for phoretic dispersal?

Authors:  Shuichi Yano
Journal:  Exp Appl Acarol       Date:  2004       Impact factor: 2.132

  4 in total

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