N-mixture models reliably estimate the abundance of small vertebrates

Abstract Accurate measures of species abundance are essential to identify conservation strategies. N-mixture models are increasingly used to estimate abundance on the basis of species counts. In this study we tested whether abundance estimates obtained using N-mixture models provide consistent resul...

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Autores principales:	Gentile Francesco Ficetola, Benedetta Barzaghi, Andrea Melotto, Martina Muraro, Enrico Lunghi, Claudia Canedoli, Elia Lo Parrino, Veronica Nanni, Iolanda Silva-Rocha, Arianna Urso, Miguel Angel Carretero, Daniele Salvi, Stefano Scali, Giorgio Scarì, Roberta Pennati, Franco Andreone, Raoul Manenti
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cb188d16358b41c5833499ac01199555
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spelling	oai:doaj.org-article:cb188d16358b41c5833499ac011995552021-12-02T15:07:47ZN-mixture models reliably estimate the abundance of small vertebrates10.1038/s41598-018-28432-82045-2322https://doaj.org/article/cb188d16358b41c5833499ac011995552018-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-28432-8https://doaj.org/toc/2045-2322Abstract Accurate measures of species abundance are essential to identify conservation strategies. N-mixture models are increasingly used to estimate abundance on the basis of species counts. In this study we tested whether abundance estimates obtained using N-mixture models provide consistent results with more traditional approaches requiring capture (capture-mark recapture and removal sampling). We focused on endemic, threatened species of amphibians and reptiles in Italy, for which accurate abundance data are needed for conservation assessments: the Lanza’s Alpine salamander Salamandra lanzai, the Ambrosi’s cave salamander Hydromantes ambrosii and the Aeolian wall lizard Podarcis raffonei. In visual counts, detection probability was variable among species, ranging between 0.14 (Alpine salamanders) and 0.60 (cave salamanders). For all the species, abundance estimates obtained using N-mixture models showed limited differences with the ones obtained through capture-mark-recapture or removal sampling. The match was particularly accurate for cave salamanders in sites with limited abundance and for lizards, nevertheless non-incorporating heterogeneity of detection probability increased bias. N-mixture models provide reliable abundance estimates that are comparable with the ones of more traditional approaches, and offer additional advantages such as a smaller sampling effort and no need of manipulating individuals, which in turn reduces the risk of harming animals and spreading diseases.Gentile Francesco FicetolaBenedetta BarzaghiAndrea MelottoMartina MuraroEnrico LunghiClaudia CanedoliElia Lo ParrinoVeronica NanniIolanda Silva-RochaArianna UrsoMiguel Angel CarreteroDaniele SalviStefano ScaliGiorgio ScarìRoberta PennatiFranco AndreoneRaoul ManentiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Gentile Francesco Ficetola Benedetta Barzaghi Andrea Melotto Martina Muraro Enrico Lunghi Claudia Canedoli Elia Lo Parrino Veronica Nanni Iolanda Silva-Rocha Arianna Urso Miguel Angel Carretero Daniele Salvi Stefano Scali Giorgio Scarì Roberta Pennati Franco Andreone Raoul Manenti N-mixture models reliably estimate the abundance of small vertebrates
description	Abstract Accurate measures of species abundance are essential to identify conservation strategies. N-mixture models are increasingly used to estimate abundance on the basis of species counts. In this study we tested whether abundance estimates obtained using N-mixture models provide consistent results with more traditional approaches requiring capture (capture-mark recapture and removal sampling). We focused on endemic, threatened species of amphibians and reptiles in Italy, for which accurate abundance data are needed for conservation assessments: the Lanza’s Alpine salamander Salamandra lanzai, the Ambrosi’s cave salamander Hydromantes ambrosii and the Aeolian wall lizard Podarcis raffonei. In visual counts, detection probability was variable among species, ranging between 0.14 (Alpine salamanders) and 0.60 (cave salamanders). For all the species, abundance estimates obtained using N-mixture models showed limited differences with the ones obtained through capture-mark-recapture or removal sampling. The match was particularly accurate for cave salamanders in sites with limited abundance and for lizards, nevertheless non-incorporating heterogeneity of detection probability increased bias. N-mixture models provide reliable abundance estimates that are comparable with the ones of more traditional approaches, and offer additional advantages such as a smaller sampling effort and no need of manipulating individuals, which in turn reduces the risk of harming animals and spreading diseases.
format	article
author	Gentile Francesco Ficetola Benedetta Barzaghi Andrea Melotto Martina Muraro Enrico Lunghi Claudia Canedoli Elia Lo Parrino Veronica Nanni Iolanda Silva-Rocha Arianna Urso Miguel Angel Carretero Daniele Salvi Stefano Scali Giorgio Scarì Roberta Pennati Franco Andreone Raoul Manenti
author_facet	Gentile Francesco Ficetola Benedetta Barzaghi Andrea Melotto Martina Muraro Enrico Lunghi Claudia Canedoli Elia Lo Parrino Veronica Nanni Iolanda Silva-Rocha Arianna Urso Miguel Angel Carretero Daniele Salvi Stefano Scali Giorgio Scarì Roberta Pennati Franco Andreone Raoul Manenti
author_sort	Gentile Francesco Ficetola
title	N-mixture models reliably estimate the abundance of small vertebrates
title_short	N-mixture models reliably estimate the abundance of small vertebrates
title_full	N-mixture models reliably estimate the abundance of small vertebrates
title_fullStr	N-mixture models reliably estimate the abundance of small vertebrates
title_full_unstemmed	N-mixture models reliably estimate the abundance of small vertebrates
title_sort	n-mixture models reliably estimate the abundance of small vertebrates
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/cb188d16358b41c5833499ac01199555
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N-mixture models reliably estimate the abundance of small vertebrates

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