Literature DB >> 20337695

Towards a unification of unified theories of biodiversity.

Brian J McGill1.   

Abstract

A unified theory in science is a theory that shows a common underlying set of rules that regulate processes previously thought to be distinct. Unified theories have been important in physics including the unification of electricity and magnetism and the unification of the electromagnetic with the weak nuclear force. Surprisingly, ecology, specifically the subfields of biodiversity and macroecology, also possess not one but at least six unified theories. This is problematic as only one unified theory is desirable. Superficially, the six unified theories seem very different. However, I show that all six theories use the same three rules or assertions to describe a stochastic geometry of biodiversity. The three rules are: (1) intraspecifically individuals are clumped together; (2) interspecifically global or regional abundance varies according to a hollow curve distribution; and (3) interspecifically individuals are placed without regard to individuals of other species. These three rules appear sufficient to explain local species abundance distributions, species-area relationships, decay of similarity of distance and possibly other patterns of biodiversity. This provides a unification of the unified theories. I explore implications of this unified theory for future research.

Mesh:

Year:  2010        PMID: 20337695     DOI: 10.1111/j.1461-0248.2010.01449.x

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  48 in total

1.  Universal species-area and endemics-area relationships at continental scales.

Authors:  David Storch; Petr Keil; Walter Jetz
Journal:  Nature       Date:  2012-08-02       Impact factor: 49.962

2.  Integrating spatial and temporal approaches to understanding species richness.

Authors:  Ethan P White; S K Morgan Ernest; Peter B Adler; Allen H Hurlbert; S Kathleen Lyons
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-27       Impact factor: 6.237

3.  Testing the independent species' arrangement assertion made by theories of stochastic geometry of biodiversity.

Authors:  Thorsten Wiegand; Andreas Huth; Stephan Getzin; Xugao Wang; Zhanqing Hao; C V Savitri Gunatilleke; I A U Nimal Gunatilleke
Journal:  Proc Biol Sci       Date:  2012-05-16       Impact factor: 5.349

4.  Whole-community DNA barcoding reveals a spatio-temporal continuum of biodiversity at species and genetic levels.

Authors:  Andrés Baselga; Tomochika Fujisawa; Alexandra Crampton-Platt; Johannes Bergsten; Peter G Foster; Michael T Monaghan; Alfried P Vogler
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

5.  Ecology and evolution of mammalian biodiversity.

Authors:  Kate E Jones; Kamran Safi
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-09-12       Impact factor: 6.237

6.  Measurement scale in maximum entropy models of species abundance.

Authors:  S A Frank
Journal:  J Evol Biol       Date:  2011-01-25       Impact factor: 2.411

7.  Is there an ecological basis for species abundance distributions?

Authors:  Jian D L Yen; James R Thomson; Ralph Mac Nally
Journal:  Oecologia       Date:  2012-09-22       Impact factor: 3.225

8.  What is macroecology?

Authors:  Sally A Keith; Tom J Webb; Katrin Böhning-Gaese; Sean R Connolly; Nicholas K Dulvy; Felix Eigenbrod; Kate E Jones; Trevor Price; David W Redding; Ian P F Owens; Nick J B Isaac
Journal:  Biol Lett       Date:  2012-08-22       Impact factor: 3.703

9.  Commonness and rarity in the marine biosphere.

Authors:  Sean R Connolly; M Aaron MacNeil; M Julian Caley; Nancy Knowlton; Ed Cripps; Mizue Hisano; Loïc M Thibaut; Bhaskar D Bhattacharya; Lisandro Benedetti-Cecchi; Russell E Brainard; Angelika Brandt; Fabio Bulleri; Kari E Ellingsen; Stefanie Kaiser; Ingrid Kröncke; Katrin Linse; Elena Maggi; Timothy D O'Hara; Laetitia Plaisance; Gary C B Poore; Santosh K Sarkar; Kamala K Satpathy; Ulrike Schückel; Alan Williams; Robin S Wilson
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-27       Impact factor: 11.205

10.  The evolution of the competition-dispersal trade-off affects α- and β-diversity in a heterogeneous metacommunity.

Authors:  Fabien Laroche; Philippe Jarne; Thomas Perrot; Francois Massol
Journal:  Proc Biol Sci       Date:  2016-04-27       Impact factor: 5.349

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.