Literature DB >> 23348782

Taxon categories and the universal species-area relationship (a comment on Šizling et al., “between geometry and biology:the problem of universality of the species-area relationship”).

John Harte1, Justin Kitzes, Erica A Newman, Andrew J Rominger.   

Abstract

A theory of macroecology based on the maximum information entropy (MaxEnt) inference procedure predicts that the log-log slope of the species-area relationship (SAR) at any spatial scale is a specified function of the ratio of abundance, N(A), to species richness, S(A), at that scale. The theory thus predicts, in generally good agreement with observation, that all SARs collapse onto a specified universal curve when local slope, z(A), is plotted against N(A)/S(A). A recent publication, however, argues that if it is assumed that patterns in macroecology are independent of the taxonomic choices that define assemblages of species, then this principle of "taxon invariance" precludes the MaxEnt-predicted universality of the SAR. By distinguishing two dimensions of the notion of taxon invariance, we show that while the MaxEnt-based theory predicts universality regardless of the taxonomic choices that define an assemblage of species, the biological characteristics of assemblages should under MaxEnt, and do in reality, influence the realism of the predictions.

Mesh:

Year:  2013        PMID: 23348782     DOI: 10.1086/668821

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  4 in total

1.  An empirical evaluation of four variants of a universal species-area relationship.

Authors:  Daniel J McGlinn; Xiao Xiao; Ethan P White
Journal:  PeerJ       Date:  2013-11-21       Impact factor: 2.984

2.  Inferring regional-scale species diversity from small-plot censuses.

Authors:  John Harte; Justin Kitzes
Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

3.  Separating macroecological pattern and process: comparing ecological, economic, and geological systems.

Authors:  Benjamin Blonder; Lindsey Sloat; Brian J Enquist; Brian McGill
Journal:  PLoS One       Date:  2014-11-10       Impact factor: 3.240

4.  Derivations of the Core Functions of the Maximum Entropy Theory of Ecology.

Authors:  Alexander B Brummer; Erica A Newman
Journal:  Entropy (Basel)       Date:  2019-07-21       Impact factor: 2.524

  4 in total

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