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Taylor's power law captures the effects of environmental variability on community structure: An example from fishes in the North Sea.
Cobain, Matthew R D; Brede, Markus; Trueman, Clive N.
Afiliação
  • Cobain MRD; Ocean and Earth Science, University of Southampton, NOCS, Southampton, UK.
  • Brede M; Agents, Interaction and Complexity Group, Electronics and Computer Science, University of Southampton, Southampton, UK.
  • Trueman CN; Ocean and Earth Science, University of Southampton, NOCS, Southampton, UK.
J Anim Ecol ; 88(2): 290-301, 2019 02.
Article em En | MEDLINE | ID: mdl-30426504
ABSTRACT
Taylor's power law (TPL) describes the relationship between the mean and variance in abundance of populations, with the power law exponent considered a measure of aggregation. However, the usefulness of TPL exponents as an ecological metric has been questioned, largely due to its apparent ubiquity in various complex systems. The aim of this study was to test whether TPL exponents vary systematically with potential drivers of animal aggregation in time and space and therefore capture useful ecological information of the system of interest. We derived community TPL exponents from a long-term, standardised and spatially dense data series of abundance and body size data for a strongly size-structured fish community in the North Sea. We then compared TPL exponents between regions of contrasting environmental characteristics. We find that, in general, TPL exponents vary more than expected under random conditions in the North Sea for size-based populations compared to communities considered by species. Further, size-based temporal TPL exponents are systematically higher (implying more temporally aggregated distributions) along hydrographic boundaries. Time series of size-based spatial TPL exponents also differ between hydrographically distinct basins. These findings support the notion that TPL exponents contain ecological information, capturing community spatio-temporal dynamics as influenced by external drivers.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peixes / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peixes / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article