Luciano Bani

Dr. Luciano Bani

University of Milano-Bicocca, Department of Earth and Environmental Sciences
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

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

Representative Publications

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28 May 2002 in Conservation Biology
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Journal Article
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Luciano BaniLuciano Bani
Luciano Bani
MBMarco Baietto
Marco Baietto
LBLuciana Bottoni
Luciana Bottoni
RMRenato Massa
Renato Massa

1 September 2016 in Agriculture, Ecosystems & Environment
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Journal Article
Closed access
ODOlivia Dondina
Olivia Dondina
LKLeila Kataoka
Leila Kataoka
VOValerio Orioli
Valerio Orioli
Luciano BaniLuciano Bani
Luciano Bani

3 April 2015 in Molecular Ecology
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Journal Article
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NSNicola Saino
Nicola Saino
GBGaia Bazzi
Gaia Bazzi
EGEmanuele Gatti
Emanuele Gatti
MCManuela Caprioli
Manuela Caprioli
JCJacopo G. Cecere
Jacopo G. Cecere
FSFernando Spina
Fernando Spina

27 March 2006 in Conservation Biology
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Journal Article
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Luciano BaniLuciano Bani
Luciano Bani
DMDario Massimino
Dario Massimino
LBLuciana Bottoni
Luciana Bottoni
RMRenato Massa
Renato Massa

4 May 2021 in Land
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Journal Article
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Enrico RuzzierEnrico Ruzzier
Enrico Ruzzier
LFLeonardo Forbicioni
Leonardo Forbicioni
Rodolfo GentiliRodolfo Gentili
Rodolfo Gentili
NTNicola Tormen
Nicola Tormen
ODOlivia Dondina
Olivia Dondina
Luciano BaniLuciano Bani
Luciano Bani
Investigating the drivers that support species richness (S) in insular contexts can give insights for the conservation of insular biodiversity. Our aim was to decouple the effect of drivers (island area, distance from mainland and habitat diversity) accounted in three hypotheses or a combination of them in explaining S in seven islands of the Tuscan Archipelago: Area (species–area relationship, SAR), area and distance from mainland (equilibrium hypothesis, EQH) and habitat (habitat diversity hypothesis, HDH). We used published and original datasets to assess S (except aliens) for 42 taxa (14 animal and 28 plant taxa) in each island, and we used S as the dependent variable and the drivers as covariates in regression models. In 31 taxa, the data supported one of the tested hypotheses or a combination of them, and the most commonly supported hypotheses were SAR (12 taxa) and EQH (10 taxa). The effect of the area was also evident in SAR + HDH (five taxa) and EQH + HDH (one taxon), making it the prevailing driver in explaining S. Since distances are relatively short, and three out of four islands are land-bridge islands, the effect of distance was significant for 12 taxa. The effects of habitat diversity were evident for just nine taxa. The multi-taxon approach allowed us to understand the differential effect of drivers among taxa in influencing S in a single archipelago. Moreover, the multi-taxonomic rank approach highlighted how the information contained within higher taxonomic ranks (e.g., Division) can be substantially different from that derived from lower ranks (e.g., Family). These insights are of particular importance from a conservation perspective of the archipelago’s biodiversity, and this approach can be transferred to mainland fragmented systems.

13 October 2011 in Climate Research
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RARoberto Ambrosini
Roberto Ambrosini
DRDiego Rubolini
Diego Rubolini
AMAnders Pape Møller
Anders Pape Møller
Luciano BaniLuciano Bani
Luciano Bani
JCJacquie Clark
Jacquie Clark
NSNicola Saino
Nicola Saino