Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloImproving data quality to build a robust distribution model for Architeuthis dux
Anno di pubblicazione2015
  • Elettronico
  • Cartaceo
Autore/iCoro G.; Magliozzi C.; Ellenbroek A.; Pagano P.
Affiliazioni autoriCNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; Food and Agriculture Organization of the United Nations (FAO), Italy; CNR-ISTI, Pisa, Italy
Autori CNR e affiliazioni
  • inglese
AbstractThe giant squid (Architeuthis) has been reported since even before the 16th century, and has recently been observed live in its habitat for the first time. Among the species belonging to this genus, Architeuthis dux has received special attention from biologists. The distribution of this species is poorly understood, as most of our information stems from stranded animals or stomach remains. Predicting the habitat and distribution of this species, and more in general of difficult to observe species, is important from a biological conservation perspective. In this paper, we present an approach to estimate the potential distribution of A. dux at global scale, with relative high resolution (1-degree). Our approach relies on a complex preparation phase, which improves the reliability of presence, absence and environmental data correlated to the species habitat. We compare our distribution with those produced by state-of-the-art approaches (MaxEnt and AquaMaps), and use an expert-drawn map as reference. We demonstrate that our model projection is in agreement with the expert's map and is also compliant with several biological assessments of the species habitat and with recent observations. Furthermore, we show that our approach can be generalized as a paradigm that is applicable to other rare species.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da29
Pagine a39
Pagine totali-
RivistaEcological modelling
Attiva dal 1975
Editore: Elsevier - Shannon ;
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 0304-3800
Titolo chiave: Ecological modelling
Titolo proprio: Ecological modelling.
Titolo abbreviato: Ecol. model.
Numero volume della rivista305
Fascicolo della rivista-
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-84926511948)
  • ISI Web of Science (WOS) (Codice:000354589600004)
Parole chiaveAquaMaps, Ecological niche modelling, Maximum entropy, Neural networks, Rare species
Link (URL, URI)
Titolo parallelo-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioniProgetto Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources - Acronimo IMARINE - Grant agreement 283644
Strutture CNR
  • ISTI — Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
Moduli/Attività/Sottoprogetti CNR
  • ICT.P08.010.002 : Digital Libraries
Progetti Europei
Improving data quality to build a robust distribution model for Architeuthis dux - published paper (documento privato )
Descrizione: published version - Codice Puma: cnr.isti/2015-A0-018
Tipo documento: application/pdf