Probabilistic models for understanding inland amphipods water population abundances in Andean stream (Caspana, 23°S, Antofagasta region, Chile)

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datacite.alternateIdentifier.citationANIMAL BIOLOGY,Vol.73,399-406,2023
datacite.alternateIdentifier.doi10.1163/15707563-bja10117
datacite.creatorDe los Rios Escalante, Patricio
datacite.creatorWilson, Rodolfo
datacite.creatorEsse, Carlos
datacite.date2023
datacite.subject.englishHyalella fossamanchini
datacite.subject.englishHyalella kochi
datacite.subject.englishnegative binomial distribution
datacite.subject.englishstream
datacite.titleProbabilistic models for understanding inland amphipods water population abundances in Andean stream (Caspana, 23°S, Antofagasta region, Chile)
dc.date.accessioned2024-05-27T18:27:49Z
dc.date.available2024-05-27T18:27:49Z
dc.description.abstractThe Andes mountains in northern Chile have numerous small permanent and intermittent streams that are poorly studied; among the most reported species are amphipods of the genus Hyalella, specifically H. fossamanchini and H. kochi. The aim of the present study was to do a first characterization of populations of both amphipod species in a small stream (Caspana, 23 degrees S; 3200 m a.s.l.), that was visited in September 2022. The first results using a Kruskall-Wallis nonparametric test revealed that the abundances of both species and unidentified juveniles were not significantly different in a comparison of two sites, whereas a Mann-Wittney nonparametric U test gave similar results when each species and juveniles were compared between sites. The results of variance/mean ratio revealed the existence of an aggregated pattern, and a negative binomial distribution for all samples. The occurrence of an aggregated pattern and the consequent negative binomial distribution is a very frequent pattern for inland water invertebrates in Chilean rivers.
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/5838
dc.language.isoen
dc.publisherBRILL
dc.sourceANIMAL BIOLOGY
oaire.resourceTypeWOS
oaire.resourceType.enArticle
uct.indizacionSCI
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