Species abundance distribution results from a spatial analogy of central limit theorem

. 2009 Apr 21 ; 106 (16) : 6691-5. [epub] 20090403

Jazyk angličtina Země Spojené státy americké Médium print-electronic

Typ dokumentu časopisecké články, práce podpořená grantem, Research Support, U.S. Gov't, Non-P.H.S.

Perzistentní odkaz   https://www.medvik.cz/link/pmid19346488

The frequency distribution of species abundances [the species abundance distribution (SAD)] is considered to be a fundamental characteristic of community structure. It is almost invariably strongly right-skewed, with most species being rare. There has been much debate as to its exact properties and the processes from which it results. Here, we contend that an SAD for a study plot must be viewed as spliced from the SADs of many smaller nonoverlapping subplots covering that plot. We show that this splicing, if applied repeatedly to produce subplots of progressively larger size, leads to the observed shape of the SAD for the whole plot regardless of that of the SADs of those subplots. The widely reported shape of an SAD is thus likely to be driven by a spatial parallel of the central limit theorem, a statistically convergent process through which the SAD arises from small to large scales. Exact properties of the SAD are driven by species spatial turnover and the spatial autocorrelation of abundances, and can be predicted using this information. The theory therefore provides a direct link between SADs and the spatial correlation structure of species distributions, and thus between several fundamental descriptors of community structure. Moreover, the statistical process described may lie behind similar frequency distributions observed in many other scientific fields.

Zobrazit více v PubMed

McGill BJ, et al. Species abundance distributions: moving beyond single prediction theories to integration within an ecological framework. Ecol Lett. 2007;10:995–1015. PubMed

Tokeshi M. Species Coexistence: Ecological and Evolutionary Perspectives. Oxford: Blackwell; 1999.

Engen S, Lande R. Population dynamic models generating the lognormal species abundance distribution. Math Biosci. 1996;132:169–183. PubMed

Hubbell SP. The Unified Theory of Biodiversity and Biogeography. Princeton: Princeton Univ Press; 2001.

Harte J, Kinzig AP, Green JL. Self-similarity in the distribution and abundance of species. Science. 1999;284:334–346. PubMed

Šizling AL, Storch D. In: Scaling Biodiversity. Storch D, Marquet PA, Brown JH, editors. Cambridge, UK: Cambridge Univ Press; 2007. pp. 77–100.

Storch D, et al. The quest for a null model for macroecological patterns: Geometry of species distributions at multiple spatial scales. Ecol Lett. 2008;11:771–784. PubMed

Nekola JC, Brown JH. The wealth of species: Ecological communities, complex systems and the legacy of Frank Preston. Ecol Lett. 2007;10:188–196. PubMed

May RM. In: Ecology and Evolution of Communities. Cody ML, Diamond JM, editors. Cambridge: The Belknap Press of Harvard Univ Press; 1975. pp. 81–120.

Williamson M, Gaston KJ. The lognormal distribution is not an appropriate null hypothesis for the species-abundance distribution. J Anim Ecol. 2005;74:409–422.

Šizling AL, Storch D, Reif J, Gaston KJ. Invariance in species-abundance distributions. Theoretical Ecology. 2008 doi 10.1007/s12080–008-0031–3. PubMed DOI

Storch D, Šizling AL. The concept of taxon invariance in ecology: Do diversity patterns vary with changes in taxonomic resolution? Folia Geobotanica. 2008 doi: 10.1007/s12224–008-9015–8. DOI

McGill BJ. Does mother nature really prefer rare species or are log-left-skewed SADs sampling artefact? Ecol Lett. 2003;6:766–773.

Marquet PA, Keymer JE, Cofré H. In: Macroecology: Concepts and consequences. Blackburn TM, Gaston KJ, editors. Oxford: British Ecological Society and Blackwell Science Ltd; 2003. pp. 64–81.

Kallenberg O. Foundations of Modern Probability. New York: Springer-Verlag; 1997.

Condit R. Tropical Forest Census Plots. Berlin, Germany, and Georgetown, Texas: Springer-Verlag and R. G. Landes Company; 1998.

Hubbell SP, et al. Light gap disturbances, recruitment limitation, and tree diversity in a neotropical forest. Science. 1999;283:554–557. PubMed

Wasserman LA. All of Statistics: A Concise Course in Statistical Inference. Berlin: Springer-Verlag; 2004.

Gaston KJ, Evans KL, Lennon JJ. In: Scaling Biodiversity. Storch D, Marquet PA, Brown JH, editors. Cambridge: Cambridge Univ Press; 2007. pp. 181–222.

Dolman AM, Blackburn TM. A comparison of random draw and locally neutral models for the avifauna of an English woodland. BMC Ecol. 2004;4:8. PubMed PMC

Zillio T, Condit R. The impact of neutrality, niche differentiation and species input on diversity and abundance distributions. Oikos. 2007;116:931–940.

Allen CR. Patterns in body mass distribution: sifting among alternative hypotheses. Ecol Lett. 2006;9:630–643. PubMed

Storch D, Gaston KJ. Untangling ecological complexity on different scales of space and time. Basic Appl Ecol. 2004;5:389–400.

Green JL, Plotkin JB. A statistical theory for sampling species abundances. Ecol Lett. 2007;10:1037–1045. PubMed

Harte J, Kinzig AP. On the implications of species-area relationships for endemism, spatial turnover, and food web patterns. Oikos. 1997;80:417–427.

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...