Literature DB >> 28311589

Can interaction coefficients be determined from cencus data?

Michael L Rosenzweig1, Zvika Abramsky2, Burt Kotler1, William Mitchell1.   

Abstract

The method of estimating interactions proposed independently by Pimm and Schoener is studied using field data from the community of rodents which lives in the arid, rocky habitats of Israel. One important problem the method addresses is how to remove the effects of habitat heterogeneity on the estimate. We tried six different variations of the analysis scheme outlined by Crowell and Pimm, and found their results qualitatively inconsistent. This was especially true when we compared the results produced from separate habitat variables with those produced from the principal components of the habitat variation.Another problem, this one not previously addressed, is great variation in the average abundance of the different species. We discovered that the ratio of the average abundances of two species is the best predictor of the value of their coefficients of interaction. Common species appear to have weak influence on rare ones; rare ones appear to have strong influence on common ones. The statistical mechanism which produces this relationship is clear, indicating that the relationship is an artifact.

Year:  1985        PMID: 28311589     DOI: 10.1007/BF00379854

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


  1 in total

1.  Competition and the form of habitat shift.

Authors:  T W Schoener
Journal:  Theor Popul Biol       Date:  1974-12       Impact factor: 1.570

  1 in total
  6 in total

1.  Co-occurrence patterns of cavity-nesting birds in cottonwood-willow communities.

Authors:  K J Gutzwiller; S H Anderson
Journal:  Oecologia       Date:  1988-08       Impact factor: 3.225

2.  Estimating competition coefficients from census data.

Authors:  Stuart L Pimm
Journal:  Oecologia       Date:  1985-12       Impact factor: 3.225

3.  On the degree of consistency expected when different methods are used to estimate competition coefficients from census data.

Authors:  Thomas W Schoener
Journal:  Oecologia       Date:  1985-12       Impact factor: 3.225

4.  The structure and stability of small mammal faunas.

Authors:  James G Hallett
Journal:  Oecologia       Date:  1991-11       Impact factor: 3.225

5.  Resource heterogeneity and community structure: A case study inHeliconia imbricata Phytotelmata.

Authors:  Shahid Naeem
Journal:  Oecologia       Date:  1990-08       Impact factor: 3.225

6.  Functional and numerical responses of shrews to competition vary with mouse density.

Authors:  Carolyn A Eckrich; Elizabeth A Flaherty; Merav Ben-David
Journal:  PLoS One       Date:  2018-01-03       Impact factor: 3.240

  6 in total

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