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DC Field | Value | Language |
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dc.contributor.author | Butturi-Gomes, Davi | - |
dc.contributor.author | Petrere Junior, Miguel | - |
dc.contributor.author | Giacomini, Henrique C. | - |
dc.contributor.author | De Marco Junior, Paulo | - |
dc.date.accessioned | 2014-12-03T13:10:51Z | - |
dc.date.accessioned | 2016-10-25T20:11:32Z | - |
dc.date.available | 2014-12-03T13:10:51Z | - |
dc.date.available | 2016-10-25T20:11:32Z | - |
dc.date.issued | 2014-02-01 | - |
dc.identifier | http://dx.doi.org/10.1016/j.ecolind.2013.10.004 | - |
dc.identifier.citation | Ecological Indicators. Amsterdam: Elsevier Science Bv, v. 37, p. 90-98, 2014. | - |
dc.identifier.issn | 1470-160X | - |
dc.identifier.uri | http://hdl.handle.net/11449/112588 | - |
dc.identifier.uri | http://acervodigital.unesp.br/handle/11449/112588 | - |
dc.description.abstract | The use of diversity indices is a common practice in studies of community ecology. Historically, the main indices were derived by Shannon and Simpson. Currently, these two indices are recognized as part of families of entropy-based indices, which generally include species richness as another particular case. This paper evaluates the statistical properties of one of these families, the Tsallis index, as dependent on four factors: (i) spatial distribution of individuals; (ii) species-abundance distributions; (iii) sampling method and (iv) the estimator. To do so, we carried out computer simulations. The maximum likelihood estimator under all scenarios produced more biased estimates than the two computationally intensive estimation methods (i.e., Jackknife and bootstrap). The Broken-Stick was the species-abundance distribution that led to lowest bias, particularly in the species richness estimation. Intermediate levels of spatial-aggregation of individuals were also related to less biased estimations of diversity. The effect of quadrat size upon the bias of estimation was weak, despite the fact that such sampling method often produces a non-random sample of individuals. On the one hand, the Jackknife method was more accurate than the bootstrap, although both methods have shown poor performances for diversity indices that emphasize species richness. On the other hand, if confidence intervals are needed for individual community samples, the bootstrap is strongly recommended over the Jackknife. (C) 2013 Elsevier Ltd. All rights reserved. | en |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | - |
dc.format.extent | 90-98 | - |
dc.language.iso | eng | - |
dc.publisher | Elsevier B.V. | - |
dc.source | Web of Science | - |
dc.subject | Quadrat sampling | en |
dc.subject | Monte Carlo simulations | en |
dc.subject | Resampling methods | en |
dc.subject | Shannon-Wiener index | en |
dc.subject | Simpson index | en |
dc.subject | Species richness | en |
dc.title | Computer intensive methods for controlling bias in a generalized species diversity index | en |
dc.type | outro | - |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | - |
dc.contributor.institution | Universidade Federal de São Carlos (UFSCar) | - |
dc.contributor.institution | Univ Santa Cecilia | - |
dc.contributor.institution | Univ Toronto | - |
dc.contributor.institution | Universidade Federal de Goiás (UFG) | - |
dc.description.affiliation | Univ Estadual Paulista, Inst Biociencias, Dept Bioestat, Programa Posgrad Biometria, Botucatu, SP, Brazil | - |
dc.description.affiliation | Univ Fed Sao Carlos UFSCar, PPGDBC, CCTS, BR-18052780 Sorocaba, SP, Brazil | - |
dc.description.affiliation | Univ Santa Cecilia, Programa Posgrad Sustentabilidade Ecossistemas Co, BR-11045907 Santos, SP, Brazil | - |
dc.description.affiliation | Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON M5S 3G5, Canada | - |
dc.description.affiliation | Univ Fed Goias, Lab Ecol Teor & Sintese, Goiania, Go, Brazil | - |
dc.description.affiliationUnesp | Univ Estadual Paulista, Inst Biociencias, Dept Bioestat, Programa Posgrad Biometria, Botucatu, SP, Brazil | - |
dc.description.sponsorshipId | CNPq: 553283/2009-0 | - |
dc.description.sponsorshipId | CNPq: 135117/2009-7 | - |
dc.identifier.doi | 10.1016/j.ecolind.2013.10.004 | - |
dc.identifier.wos | WOS:000329385300010 | - |
dc.rights.accessRights | Acesso restrito | - |
dc.relation.ispartof | Ecological Indicators | - |
Appears in Collections: | Artigos, TCCs, Teses e Dissertações da Unesp |
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