Giorgio Scarì

Dr. Giorgio Scarì

orcid

Research Focus & Metrics

Academic Career Length

43Years (1984-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 July 2011 in Microscopy Research and Technique
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Journal Article
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Luigi Fabrizio RodellaLuigi Fabrizio Rodella
Luigi Fabrizio Rodella
Gaia FaveroGaia Favero
Gaia Favero
RBRamon Boninsegna
Ramon Boninsegna
BBBarbara Buffoli
Barbara Buffoli
MLMauro Labanca
Mauro Labanca
RRRita Rezzani
Rita Rezzani

9 July 2018 in Scientific Reports
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Journal Article
Open access
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Gentile Francesco FicetolaGentile Francesco Ficetola
Gentile Francesco Ficetola
BBBenedetta Barzaghi
Benedetta Barzaghi
AMAndrea Melotto
Andrea Melotto
MMMartina Muraro
Martina Muraro
Enrico LunghiEnrico Lunghi
Enrico Lunghi
Raoul ManentiRaoul Manenti
Raoul Manenti
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.

25 October 2002 in Journal of Catalysis
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Journal Article
Closed access
FPFrancesca Porta
Francesca Porta
Laura PratiLaura Prati
Laura Prati
MRMichele Rossi
Michele Rossi
GSGiorgio Scarì
Giorgio Scarì

26 August 2010 in Langmuir
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Journal Article
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ŽKŽeljka Krpetić
Željka Krpetić
FPFrancesca Porta
Francesca Porta
ECEnrico Caneva
Enrico Caneva
VSVladimiro Dal Santo
Vladimiro Dal Santo
GSGiorgio Scarì
Giorgio Scarì

1 June 2007 in Materials Science and Engineering: B
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Journal Article
Closed access
FPFrancesca Porta
Francesca Porta
Giovanna SperanzaGiovanna Speranza
Giovanna Speranza
ŽKŽeljka Krpetić
Željka Krpetić
VSVladimiro Dal Santo
Vladimiro Dal Santo
PFPierangelo Francescato
Pierangelo Francescato
GSGiorgio Scarì
Giorgio Scarì

13 June 2008 in Langmuir
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Journal Article
Closed access
FPFrancesca Porta
Francesca Porta
ŽKŽeljka Krpetić
Željka Krpetić
Laura PratiLaura Prati
Laura Prati
AGAureliano Gaiassi
Aureliano Gaiassi
GSGiorgio Scarì
Giorgio Scarì