Literature DB >> 28309822

Simulation experiments illustrating stabilization of animal numbers by spreading of risk.

Joannes Reddingius1, P J den Boer2.   

Abstract

1. This paper discusses results of simulation studies with population models that were set up to illustrate the ideas about stabilization of population fluctuations and spreading of the risk of extinction expounded by den Boer (1968). In particular, the number of factors influencing net reproduction, the heterogeneity of the habitat and the possibility of a population's containing animals of different age classes were considered as possibly contributing to stabilization and to spreading of risk. 2. The model defined by equation (3.1.2), where r(t) denotes the net reproduction from t to t+1, f i (t) denotes the value of the i-th environmental factor in year t, and where the other symbols denote positive constants, was simulated by choosing for the f i(t) sequences of meteorological data from published tables. Such sequences may be serially correlated as well as correlated among themselves and using such real data was considered to be more realistic than working with sequences of independent random numbers, for example. Increasing the number k of factors turned out to stabilize fluctuations in the density. This fact could also be mathematically proved under not very restrictive assumptions. In a model where the logarithm of the net reproduction on the average is some-what greater than zero, and where "crashes" may occur at high densities, the population may persist for a very long time, even if the "size" of the crashes does not depend on density, and the times at which the crashes occur are chosen at random. 3. A model formulated in terms of matrices and vectors, in which a population was supposed to consist of 9 subpopulations and of several age classes was simulated. It was assumed that after a reproduction period the animals migrate between the subpopulations or emigrate from the whole population. It turned out that increasing the number of age classes may increase stability and that models where there is exchange of individuals between subpopulations by \ldmigration\rd are more stable than populations consisting of isolated subpopulations. Letting the exchange between subpopulations be \lddensity-dependent\rd had some stabilizing effect too, but not very conspicuously so.

Year:  1970        PMID: 28309822     DOI: 10.1007/BF00344886

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


  3 in total

1.  On the use of matrices in certain population mathematics.

Authors:  P H LESLIE
Journal:  Biometrika       Date:  1945-11       Impact factor: 2.445

2.  Spreading of risk and stabilization of animal numbers.

Authors:  P J den Boer
Journal:  Acta Biotheor       Date:  1968       Impact factor: 1.774

3.  Population survival and life history phenomena.

Authors:  P Holgate
Journal:  J Theor Biol       Date:  1967-01       Impact factor: 2.691

  3 in total
  29 in total

Review 1.  Framework for assessment and monitoring of amphibians and reptiles in the Lower Urubamba region, Peru.

Authors:  Javier Icochea; Eliana Quispitupac; Alfredo Portilla; Elias Ponce
Journal:  Environ Monit Assess       Date:  2002-05       Impact factor: 2.513

2.  Population dynamics of gyrinid beetles : II. Reproduction.

Authors:  R H van der Eijk
Journal:  Oecologia       Date:  1986-04       Impact factor: 3.225

3.  Recruitment-limitation in open populations of Diadema antillarum: an evaluation.

Authors:  Ronald H Karlson; Don R Levitan
Journal:  Oecologia       Date:  1990-01       Impact factor: 3.225

4.  Density dependence and the stabilization of animal numbers : 1. The winter moth.

Authors:  P J den Boer
Journal:  Oecologia       Date:  1986-07       Impact factor: 3.225

5.  Reproductive effort in two subtidal populations of the limpet, Patelloida mufria.

Authors:  W J Fletcher
Journal:  Oecologia       Date:  1988-01       Impact factor: 3.225

6.  On the stabilization of animal numbers. Problems of testing : 3. What do we conclude from significant test results?

Authors:  P J Den Boer
Journal:  Oecologia       Date:  1990-05       Impact factor: 3.225

7.  Fluctuations of density and survival of carabid populations.

Authors:  P J den Boer
Journal:  Oecologia       Date:  1985-10       Impact factor: 3.225

8.  Stochastic aggregative responses and spatial patterns of parasitism in patchy host-parasitoid interactions.

Authors:  Gerold Morrison
Journal:  Oecologia       Date:  1986-10       Impact factor: 3.225

9.  Spatial heterogeneity, population "regulation" and local extinction in simulated host-parasitoid interactions.

Authors:  G Morrison; P Barbosa
Journal:  Oecologia       Date:  1987-10       Impact factor: 3.225

10.  On the survival of populations in a heterogeneous and variable environment.

Authors:  P J den Boer
Journal:  Oecologia       Date:  1981-08       Impact factor: 3.225

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.