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Species Abundance Distributions: moving beyond single prediction theories to integration within an ecological framework.

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Species Abundance Distributions: moving beyond single prediction theories to integration within an ecological framework. / McGill, BJ; Etienne, RS; Gray, JS; Alonso, D; Anderson, MJ; Benecha, HK; Dornelas, Maria; Enquist, BJ; Green, J; He, F; Hurlbert, A; Magurran, Anne Elizabeth; Marquet, PA; Maurer, BA; Ostling, A; Soykan, CU; Ugland, K; White, E.

In: Ecology Letters, Vol. 10, No. 10, 10.2007, p. 995-1015.

Research output: Contribution to journalArticle

Harvard

McGill, BJ, Etienne, RS, Gray, JS, Alonso, D, Anderson, MJ, Benecha, HK, Dornelas, M, Enquist, BJ, Green, J, He, F, Hurlbert, A, Magurran, AE, Marquet, PA, Maurer, BA, Ostling, A, Soykan, CU, Ugland, K & White, E 2007, 'Species Abundance Distributions: moving beyond single prediction theories to integration within an ecological framework.' Ecology Letters, vol. 10, no. 10, pp. 995-1015. https://doi.org/10.1111/j.1461-0248.2007.01094.x

APA

McGill, BJ., Etienne, RS., Gray, JS., Alonso, D., Anderson, MJ., Benecha, HK., ... White, E. (2007). Species Abundance Distributions: moving beyond single prediction theories to integration within an ecological framework. Ecology Letters, 10(10), 995-1015. https://doi.org/10.1111/j.1461-0248.2007.01094.x

Vancouver

McGill BJ, Etienne RS, Gray JS, Alonso D, Anderson MJ, Benecha HK et al. Species Abundance Distributions: moving beyond single prediction theories to integration within an ecological framework. Ecology Letters. 2007 Oct;10(10):995-1015. https://doi.org/10.1111/j.1461-0248.2007.01094.x

Author

McGill, BJ ; Etienne, RS ; Gray, JS ; Alonso, D ; Anderson, MJ ; Benecha, HK ; Dornelas, Maria ; Enquist, BJ ; Green, J ; He, F ; Hurlbert, A ; Magurran, Anne Elizabeth ; Marquet, PA ; Maurer, BA ; Ostling, A ; Soykan, CU ; Ugland, K ; White, E. / Species Abundance Distributions: moving beyond single prediction theories to integration within an ecological framework. In: Ecology Letters. 2007 ; Vol. 10, No. 10. pp. 995-1015.

Bibtex - Download

@article{efc26e1416cf4c89a287b42c82a85c0c,
title = "Species Abundance Distributions: moving beyond single prediction theories to integration within an ecological framework.",
abstract = "Species abundance distributions (SADs) follow one of ecology's oldest and most universal laws - every community shows a hollow curve or hyperbolic shape on a histogram with many rare species and just a few common species. Here, we review theoretical, empirical and statistical developments in the study of SADs. Several key points emerge. (i) Literally dozens of models have been proposed to explain the hollow curve. Unfortunately, very few models are ever rejected, primarily because few theories make any predictions beyond the hollow-curve SAD itself. (ii) Interesting work has been performed both empirically and theoretically, which goes beyond the hollow-curve prediction to provide a rich variety of information about how SADs behave. These include the study of SADs along environmental gradients and theories that integrate SADs with other biodiversity patterns. Central to this body of work is an effort to move beyond treating the SAD in isolation and to integrate the SAD into its ecological context to enable making many predictions. (iii) Moving forward will entail understanding how sampling and scale affect SADs and developing statistical tools for describing and comparing SADs. We are optimistic that SADs can provide significant insights into basic and applied ecological science.",
keywords = "environmental indicators, macroecology, scientific inference, species abundance distributions, RAREFACTION DIVERSITY MEASUREMENT, POISSON LOGNORMAL-DISTRIBUTION, NEUTRAL THEORY, RELATIVE-ABUNDANCE, COMMUNITY STRUCTURE, BODY-SIZE, PLANT-COMMUNITIES, POPULATION ABUNDANCE, GRADIENT ANALYSIS, SPATIAL STRUCTURE",
author = "BJ McGill and RS Etienne and JS Gray and D Alonso and MJ Anderson and HK Benecha and Maria Dornelas and BJ Enquist and J Green and F He and A Hurlbert and Magurran, {Anne Elizabeth} and PA Marquet and BA Maurer and A Ostling and CU Soykan and K Ugland and E White",
year = "2007",
month = "10",
doi = "10.1111/j.1461-0248.2007.01094.x",
language = "English",
volume = "10",
pages = "995--1015",
journal = "Ecology Letters",
issn = "1461-023X",
publisher = "John Wiley & Sons, Ltd (10.1111)",
number = "10",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Species Abundance Distributions: moving beyond single prediction theories to integration within an ecological framework.

AU - McGill, BJ

AU - Etienne, RS

AU - Gray, JS

AU - Alonso, D

AU - Anderson, MJ

AU - Benecha, HK

AU - Dornelas, Maria

AU - Enquist, BJ

AU - Green, J

AU - He, F

AU - Hurlbert, A

AU - Magurran, Anne Elizabeth

AU - Marquet, PA

AU - Maurer, BA

AU - Ostling, A

AU - Soykan, CU

AU - Ugland, K

AU - White, E

PY - 2007/10

Y1 - 2007/10

N2 - Species abundance distributions (SADs) follow one of ecology's oldest and most universal laws - every community shows a hollow curve or hyperbolic shape on a histogram with many rare species and just a few common species. Here, we review theoretical, empirical and statistical developments in the study of SADs. Several key points emerge. (i) Literally dozens of models have been proposed to explain the hollow curve. Unfortunately, very few models are ever rejected, primarily because few theories make any predictions beyond the hollow-curve SAD itself. (ii) Interesting work has been performed both empirically and theoretically, which goes beyond the hollow-curve prediction to provide a rich variety of information about how SADs behave. These include the study of SADs along environmental gradients and theories that integrate SADs with other biodiversity patterns. Central to this body of work is an effort to move beyond treating the SAD in isolation and to integrate the SAD into its ecological context to enable making many predictions. (iii) Moving forward will entail understanding how sampling and scale affect SADs and developing statistical tools for describing and comparing SADs. We are optimistic that SADs can provide significant insights into basic and applied ecological science.

AB - Species abundance distributions (SADs) follow one of ecology's oldest and most universal laws - every community shows a hollow curve or hyperbolic shape on a histogram with many rare species and just a few common species. Here, we review theoretical, empirical and statistical developments in the study of SADs. Several key points emerge. (i) Literally dozens of models have been proposed to explain the hollow curve. Unfortunately, very few models are ever rejected, primarily because few theories make any predictions beyond the hollow-curve SAD itself. (ii) Interesting work has been performed both empirically and theoretically, which goes beyond the hollow-curve prediction to provide a rich variety of information about how SADs behave. These include the study of SADs along environmental gradients and theories that integrate SADs with other biodiversity patterns. Central to this body of work is an effort to move beyond treating the SAD in isolation and to integrate the SAD into its ecological context to enable making many predictions. (iii) Moving forward will entail understanding how sampling and scale affect SADs and developing statistical tools for describing and comparing SADs. We are optimistic that SADs can provide significant insights into basic and applied ecological science.

KW - environmental indicators

KW - macroecology

KW - scientific inference

KW - species abundance distributions

KW - RAREFACTION DIVERSITY MEASUREMENT

KW - POISSON LOGNORMAL-DISTRIBUTION

KW - NEUTRAL THEORY

KW - RELATIVE-ABUNDANCE

KW - COMMUNITY STRUCTURE

KW - BODY-SIZE

KW - PLANT-COMMUNITIES

KW - POPULATION ABUNDANCE

KW - GRADIENT ANALYSIS

KW - SPATIAL STRUCTURE

UR - http://www.scopus.com/inward/record.url?scp=34548536276&partnerID=8YFLogxK

U2 - 10.1111/j.1461-0248.2007.01094.x

DO - 10.1111/j.1461-0248.2007.01094.x

M3 - Article

VL - 10

SP - 995

EP - 1015

JO - Ecology Letters

T2 - Ecology Letters

JF - Ecology Letters

SN - 1461-023X

IS - 10

ER -

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ID: 396991