Literature DB >> 12227519

Occupancy frequency distributions: patterns, artefacts and mechanisms.

Melodie A McGeoch1, Kevin J Gaston.   

Abstract

Numerous hypotheses have been proposed to explain the shape of occupancy frequency distributions (distributions of the numbers of species occupying different numbers of areas). Artefactual effects include sampling characteristics, whereas biological mechanisms include organismal, niche-based and meta-population models. To date, there has been little testing of these models. In addition, although empirically derived occupancy distributions encompass an array of taxa and spatial scales, comparisons between them are often not possible because of differences in sampling protocol and method of construction. In this paper, the effects of sampling protocol (grain, sample number, extent, sampling coverage and intensity) on the shape of occupancy distributions are examined, and approaches for minimising artefactual effects recommended. Evidence for proposed biological determinants of the shape of occupancy distributions is then examined. Good support exists for some mechanisms (habitat and environmental heterogeneity), little for others (dispersal ability), while some hypotheses remain untested (landscape productivity, position in geographic range, range size frequency distributions), or are unlikely to be useful explanations for the shape of occupancy distributions 'species specificity and adaptation to habitat, extinction-colonization dynamics). The presence of a core (class containing species with the highest occupancy) mode in occupancy distributions is most likely to be associated with larger sample units, and small homogenous sampling areas positioned well within and towards the range centers of a sufficient proportion of the species in the assemblage. Satellite (class with species with the lowest occupancy) modes are associated with sampling large, heterogeneous areas that incorporate a large proportion of the assemblage range. However, satellite modes commonly also occur in the presence of a core mode, and rare species effects are likely to contribute to the presence of a satellite mode at most sampling scales. In most proposed hypotheses, spatial scale is an important determinant of the shape of the observed occupancy distribution. Because the attributes of the mechanisms associated with these hypotheses change with spatial scale, their predictions for the shape of occupancy distributions also change. To understand occupancy distributions and the mechanisms underlying them, a synthesis of pattern documentation and model testing across scales is thus needed. The development of null models, comparisons of occupancy distributions across spatial scales and taxa, documentation of the movement of individual species between occupancy classes with changes in spatial scale, as well as further testing of biological mechanisms are all necessary for an improved understanding of the distribution of species and assemblages within their geographic ranges.

Mesh:

Year:  2002        PMID: 12227519     DOI: 10.1017/s1464793101005887

Source DB:  PubMed          Journal:  Biol Rev Camb Philos Soc        ISSN: 0006-3231


  9 in total

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Authors:  T Heatherly; M R Whiles; D J Gibson; S L Collins; A D Huryn; J K Jackson; M A Palmer
Journal:  Oecologia       Date:  2006-11-08       Impact factor: 3.225

2.  Temporally stable abundance-occupancy relationships and occupancy frequency patterns in stream insects.

Authors:  Jani Heino
Journal:  Oecologia       Date:  2008-06-13       Impact factor: 3.225

Review 3.  Old and new challenges in using species diversity for assessing biodiversity.

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4.  Scale-dependent mechanisms in the population dynamics of an insect herbivore.

Authors:  Melodie A McGeoch; Peter W Price
Journal:  Oecologia       Date:  2005-05-11       Impact factor: 3.225

5.  Macroecological distributions of gene variants highlight the functional organization of soil microbial systems.

Authors:  Arthur Escalas; Fabiana S Paula; François Guilhaumon; Mengting Yuan; Yunfeng Yang; Linwei Wu; Feifei Liu; Jiaje Feng; Yuguang Zhang; Jizhong Zhou
Journal:  ISME J       Date:  2021-09-27       Impact factor: 10.302

6.  Spatially-explicit estimation of geographical representation in large-scale species distribution datasets.

Authors:  Jesse M Kalwij; Mark P Robertson; Argo Ronk; Martin Zobel; Meelis Pärtel
Journal:  PLoS One       Date:  2014-01-15       Impact factor: 3.240

7.  Limited impacts of extensive human land use on dominance, specialization, and biotic homogenization in boreal plant communities.

Authors:  Stephen J Mayor; Stan Boutin; Fangliang He; James F Cahill
Journal:  BMC Ecol       Date:  2015-02-13       Impact factor: 2.964

8.  Exploring the Ecological Coherence between the Spatial and Temporal Patterns of Bacterioplankton in Boreal Lakes.

Authors:  Juan Pablo Niño-García; Clara Ruiz-González; Paul A Del Giorgio
Journal:  Front Microbiol       Date:  2017-04-21       Impact factor: 5.640

9.  Spatial and temporal changes in occupancy frequency distribution patterns of freshwater macrophytes in Finland.

Authors:  Jukka Suhonen
Journal:  Ecol Evol       Date:  2021-06-16       Impact factor: 2.912

  9 in total

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