Estimating the size of animal populations in a given area is of particular interest in ecological studies on wildlife conservation, and this task is commonly handled via capture-recapture methods. A recent work (Pace et al., 2021) adopts a two-step approach for identifying groups of animals with similar site-fidelity patterns - according to specific metrics - and estimating the abundance of bottlenose dolphins between 2017 and 2020 at the Tiber Estuary (Mediterranean Sea, Rome, Italy). In this work, we aim at simultaneously classifying individuals and estimating their abundance in the study area, by introducing finite mixtures within the Open-Population Jolly-Seber framework. In capture-recapture analyses, finite mixture models allow to account for groups heterogeneity and to reduce the bias in the final abundance estimates (Pledger, 2005).

Model-based clustering for estimating cetaceans site-fidelity and abundance / Caruso, Gianmarco; Panunzi, Greta; Mingione, Marco; Alaimo Di Loro, Pierfrancesco; Moro, Stefano; Bompiani, Edoardo; Lanfredi, Caterina; Pace, Daniela Silvia; Tardella, Luca; Jona Lasinio, Giovanna. - (2021), pp. 292-295. ((Intervento presentato al convegno 13th scientific meeting of the classification and data analysis group, Firenze, September 9-11, 2021 tenutosi a Firenze [10.36253/978-88-5518-340-6].

Model-based clustering for estimating cetaceans site-fidelity and abundance

Caruso, Gianmarco;Panunzi, Greta;Mingione, Marco;Alaimo Di Loro, Pierfrancesco;Moro, Stefano;Bompiani, Edoardo;Pace, Daniela Silvia;Tardella, Luca;Jona Lasinio, Giovanna
2021

Abstract

Estimating the size of animal populations in a given area is of particular interest in ecological studies on wildlife conservation, and this task is commonly handled via capture-recapture methods. A recent work (Pace et al., 2021) adopts a two-step approach for identifying groups of animals with similar site-fidelity patterns - according to specific metrics - and estimating the abundance of bottlenose dolphins between 2017 and 2020 at the Tiber Estuary (Mediterranean Sea, Rome, Italy). In this work, we aim at simultaneously classifying individuals and estimating their abundance in the study area, by introducing finite mixtures within the Open-Population Jolly-Seber framework. In capture-recapture analyses, finite mixture models allow to account for groups heterogeneity and to reduce the bias in the final abundance estimates (Pledger, 2005).
978-88-5518-340-6
File allegati a questo prodotto
File Dimensione Formato  
Caruso_Model-based-clustering_2021.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 751.95 kB
Formato Adobe PDF
751.95 kB Adobe PDF Visualizza/Apri PDF

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/11573/1565763
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact