Matthews, Thomas J.;
Borregaard, Michael K.;
Gillespie, Colin S.;
Rigal, François;
Ugland, Karl I.;
Krüger, Rodrigo Ferreira;
Marques, Roberta;
Sadler, Jon P.;
Borges, Paulo A. V.;
Kubota, Yasuhiro;
Whittaker, Robert J.
Extension of the gambin model to multimodal species abundance distributions
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Medientyp:
E-Artikel
Titel:
Extension of the gambin model to multimodal species abundance distributions
Beteiligte:
Matthews, Thomas J.;
Borregaard, Michael K.;
Gillespie, Colin S.;
Rigal, François;
Ugland, Karl I.;
Krüger, Rodrigo Ferreira;
Marques, Roberta;
Sadler, Jon P.;
Borges, Paulo A. V.;
Kubota, Yasuhiro;
Whittaker, Robert J.
Erschienen:
Wiley, 2019
Erschienen in:
Methods in Ecology and Evolution, 10 (2019) 3, Seite 432-437
Beschreibung:
<jats:title>Abstract</jats:title><jats:p>
<jats:list>
<jats:list-item><jats:p>Species abundance distributions (<jats:styled-content style="fixed-case">SAD</jats:styled-content>s) are one of the most widely used tools in macroecology, and it has become increasingly apparent that many empirical <jats:styled-content style="fixed-case">SAD</jats:styled-content>s can best be described as multimodal. However, only a few <jats:styled-content style="fixed-case">SAD</jats:styled-content> models have been extended to incorporate multiple modes and no software packages are available to fit multimodal <jats:styled-content style="fixed-case">SAD</jats:styled-content> models. In this study, we present an extension of the gambin <jats:styled-content style="fixed-case">SAD</jats:styled-content> model to multimodal <jats:styled-content style="fixed-case">SAD</jats:styled-content>s.</jats:p></jats:list-item>
<jats:list-item><jats:p>We derive the maximum likelihood equations for fitting the bimodal gambin distribution and generalize this approach to fit gambin models with any number of modes. We present these new functions, along with additional functions to aid in the analysis of multimodal <jats:styled-content style="fixed-case">SAD</jats:styled-content>s, within an updated <jats:sc>r</jats:sc> package (“<jats:sc>gambin</jats:sc>”; version 2.4.0) that enables the fitting, plotting and evaluating of gambin models with any number of modes.</jats:p></jats:list-item>
<jats:list-item><jats:p>We use a mixture of simulations and empirical datasets to test our new models, including tests of the sensitivity of the model parameters to the number of individuals and the number of species in a sample. We show that the new multimodal gambin models perform well under a variety of circumstances, and that the application of these new models to empirical <jats:styled-content style="fixed-case">SAD</jats:styled-content> and other macroecological (e.g., species range size distributions) datasets can provide interesting insights. The updated software package is simple to use and provides straightforward yet flexible statistical analyses of multimodality in <jats:styled-content style="fixed-case">SAD</jats:styled-content>‐type datasets.</jats:p></jats:list-item>
</jats:list>
</jats:p>