Danilo Russo

Dr. Danilo Russo

Sustainable Reaction Engineering Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Dr, Cambridge CB3 0AS, UK
orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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1 July 2017 in Applied Catalysis B: Environment and Energy
Verified
Journal Article
Closed access
LCL. Clarizia
L. Clarizia
Danilo RussoDanilo Russo
Danilo Russo
ISI. Di Somma
I. Di Somma
RMR. Marotta
R. Marotta
RAR. Andreozzi
R. Andreozzi

1 May 2015 in Mammalian Biology
Verified
Journal Article
Closed access
Danilo RussoDanilo Russo
Danilo Russo
LALeonardo Ancillotto
Leonardo Ancillotto

1 September 2002 in Journal of Zoology
Verified
Journal Article
Open access
PDF file
Danilo RussoDanilo Russo
Danilo Russo
GJGareth Jones
Gareth Jones
Spectral and temporal features of echolocation calls emitted by 22 bat species from Italy (three rhinolophids, 18 vespertilionids and the molossid Tadarida teniotis) are described. Time‐expanded recordings of calls from 950 bats of known identity were examined. Rhinolophus ferrumequinum, R. hipposideros, R. euryale and T. teniotis could be identified by measuring the call frequency of highest energy (FMAXE). Quadratic discriminant function analysis with cross‐validation was applied to calls from the remaining 18 species. A function based on start frequency (SF), end frequency (EF), FMAXE and duration (D) provided a correct overall classification of approximately 82%. A classification model at genus level that also comprised middle frequency (MF) and inter‐pulse interval (IPI) reached 94% correct classification. Two separate discriminant functions were devised for species emitting FM (frequency modulated) and FM/QCF calls (i.e. calls consisting of a frequency‐modulated component followed by a terminal part whose frequency is almost constant) respectively. The former function included SF, EF, FMAXE and D and provided an overall classification rate of 71%; the latter comprised EF, MF, D and IPI, and reached 96%. The functions may be applied to bat habitat surveys in southern Italy since they cover most of the species occurring in the area.



1 November 2018 in Agriculture, Ecosystems & Environment
Verified
Journal Article
Closed access
Danilo RussoDanilo Russo
Danilo Russo
LBLuciano Bosso
Luciano Bosso
LALeonardo Ancillotto
Leonardo Ancillotto