Rarefaction curves represent a powerful method for comparing species richness among habitats on an equal-effort basis. Three assumptions are required to correctly perform rarefaction analysis: (i) data collection should be a representative sample of the community under study, (ii) individuals are randomly dispersed, and (iii) species are independently dispersed. However, the community structure is spatially organized, and these criteria cannot be guaranteed. Recently, Chiarucci et al. (2009) proposed a new type of rarefaction, named Spatially Constrained Rarefaction (SCR), which allows to include the autocorrelated structure of the samples in the construction of a rarefaction curve. Here we present an easy-to-use procedure to calculate Spatially Constrained Rarefaction curve in the R environment.

The spatial domain matters: Spatially constrained species rarefaction in a Free and Open Source environment / Bacaro, G.; Rocchini, D.; Ghisla, A.; Marcantonio, M.; Neteler, M.; Chiarucci, A.. - In: ECOLOGICAL COMPLEXITY. - ISSN 1476-945X. - 12:(2012), pp. 63-69. [10.1016/j.ecocom.2012.05.007]

The spatial domain matters: Spatially constrained species rarefaction in a Free and Open Source environment

Rocchini D.;
2012-01-01

Abstract

Rarefaction curves represent a powerful method for comparing species richness among habitats on an equal-effort basis. Three assumptions are required to correctly perform rarefaction analysis: (i) data collection should be a representative sample of the community under study, (ii) individuals are randomly dispersed, and (iii) species are independently dispersed. However, the community structure is spatially organized, and these criteria cannot be guaranteed. Recently, Chiarucci et al. (2009) proposed a new type of rarefaction, named Spatially Constrained Rarefaction (SCR), which allows to include the autocorrelated structure of the samples in the construction of a rarefaction curve. Here we present an easy-to-use procedure to calculate Spatially Constrained Rarefaction curve in the R environment.
2012
Bacaro, G.; Rocchini, D.; Ghisla, A.; Marcantonio, M.; Neteler, M.; Chiarucci, A.
The spatial domain matters: Spatially constrained species rarefaction in a Free and Open Source environment / Bacaro, G.; Rocchini, D.; Ghisla, A.; Marcantonio, M.; Neteler, M.; Chiarucci, A.. - In: ECOLOGICAL COMPLEXITY. - ISSN 1476-945X. - 12:(2012), pp. 63-69. [10.1016/j.ecocom.2012.05.007]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/198095
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 24
  • ???jsp.display-item.citation.isi??? 22
  • OpenAlex ND
social impact