Literature DB >> 20071388

Linking species abundance distributions in numerical abundance and biomass through simple assumptions about community structure.

Peter A Henderson1, Anne E Magurran.   

Abstract

Species abundance distributions (SADs) are widely used as a tool for summarizing ecological communities but may have different shapes, depending on the currency used to measure species importance. We develop a simple plotting method that links SADs in the alternative currencies of numerical abundance and biomass and is underpinned by testable predictions about how organisms occupy physical space. When log numerical abundance is plotted against log biomass, the species lie within an approximately triangular region. Simple energetic and sampling constraints explain the triangular form. The dispersion of species within this triangle is the key to understanding why SADs of numerical abundance and biomass can differ. Given regular or random species dispersion, we can predict the shape of the SAD for both currencies under a variety of sampling regimes. We argue that this dispersion pattern will lie between regular and random for the following reasons. First, regular dispersion patterns will result if communities are comprised groups of organisms that use different components of the physical space (e.g. open water, the sea bed surface or rock crevices in a marine fish assemblage), and if the abundance of species in each of these spatial guilds is linked to the way individuals of varying size use the habitat. Second, temporal variation in abundance and sampling error will tend to randomize this regular pattern. Data from two intensively studied marine ecosystems offer empirical support for these predictions. Our approach also has application in environmental monitoring and the recognition of anthropogenic disturbance, which may change the shape of the triangular region by, for example, the loss of large body size top predators that occur at low abundance.

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Year:  2010        PMID: 20071388      PMCID: PMC2871842          DOI: 10.1098/rspb.2009.2189

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  10 in total

1.  Explaining the excess of rare species in natural species abundance distributions.

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2.  Biodiversity and the Lotka-Volterra theory of species interactions: open systems and the distribution of logarithmic densities.

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3.  Trade-offs in community properties through time in a desert rodent community.

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Review 9.  Species abundance distributions: moving beyond single prediction theories to integration within an ecological framework.

Authors:  Brian J McGill; Rampal S Etienne; John S Gray; David Alonso; Marti J Anderson; Habtamu Kassa Benecha; Maria Dornelas; Brian J Enquist; Jessica L Green; Fangliang He; Allen H Hurlbert; Anne E Magurran; Pablo A Marquet; Brian A Maurer; Annette Ostling; Candan U Soykan; Karl I Ugland; Ethan P White
Journal:  Ecol Lett       Date:  2007-10       Impact factor: 9.492

10.  Minimal Community Structure: An Explanation of Species Abundance Patterns.

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Journal:  Am Nat       Date:  1980 Dec.       Impact factor: 3.926

  10 in total
  8 in total

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3.  How selection structures species abundance distributions.

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Journal:  Proc Biol Sci       Date:  2012-07-11       Impact factor: 5.349

4.  Temporal turnover and the maintenance of diversity in ecological assemblages.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-27       Impact factor: 6.237

5.  Diversity is maintained by seasonal variation in species abundance.

Authors:  Hideyasu Shimadzu; Maria Dornelas; Peter A Henderson; Anne E Magurran
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6.  Exceptionally high but still growing predatory reef fish biomass after 23 years of protection in a Marine Protected Area.

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7.  Metabarcoding profiling of microbial diversity associated with trout fish farming.

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Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

8.  Local and regional rarity in a diverse tropical fish assemblage.

Authors:  A P Hercos; M Sobansky; H L Queiroz; A E Magurran
Journal:  Proc Biol Sci       Date:  2013-01-22       Impact factor: 5.349

  8 in total

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