2005
DOI: 10.1016/j.actao.2005.04.003
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A simple method to fit geometric series and broken stick models in community ecology and island biogeography

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Cited by 64 publications
(80 citation statements)
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“…In equilibrial archipelagos, large islands may act as sources for small and remote islands or can assist species that come from the mainland thus acting as stepping stones. However, the Aegean tenebrionid fauna is mostly relictual (Fattorini 2002(Fattorini , 2005(Fattorini , 2006b, and such as mechanism cannot have a relevant role. Most of the Aegean remote islands were connected to each other and to the mainland during Pleistocene falls in sea level.…”
Section: Discussionmentioning
confidence: 99%
“…In equilibrial archipelagos, large islands may act as sources for small and remote islands or can assist species that come from the mainland thus acting as stepping stones. However, the Aegean tenebrionid fauna is mostly relictual (Fattorini 2002(Fattorini , 2005(Fattorini , 2006b, and such as mechanism cannot have a relevant role. Most of the Aegean remote islands were connected to each other and to the mainland during Pleistocene falls in sea level.…”
Section: Discussionmentioning
confidence: 99%
“…Certain literature dealing with ecology mention three basic models: geometrical, lognormal, and broken stick models (Aoki, 1995;Dunbar et al, 2002;Kobayashi, 1985;Saldaña and Ibáñez;2004;Skalskia and Pośpiechb, 2006). Beta-distribution is hardly mentioned by literature apart from a few exceptions (Fattorini, 2005;Muneepeerakula et al, 2007), we still use it, because in certain cases this model approximates abundance-distribution the best. Izsák and Szeidl (2009) verified that beta-distribution is very similar to lognormal distribution in case of certain parameters, and with the prosperous choice of parameter it nears well the broken stick model too.…”
Section: Methodsmentioning
confidence: 99%
“…Since the geometric series is the reference model for communities composed of a few species and with high dominance (Fattorini, 2005), we fi rst used a χ 2 test to determine if our data deviated signifi cantly from the species abundance value predicted by this model. As our data did not deviate from the expected distribution, we used Ordinary Least Squares (OLS) regression described by Fattorini (2005) to model the rank-abundance curve. This approach is based on the fact that, if species are ranked from the most to the least abundant, and abundances are logarithmically transformed, a geometrical series exactly follows a strength line, which can be fi tted using an OLS regression.…”
Section: Species-abundance Distribution and Spatial Organizationmentioning
confidence: 99%