Lucia Santorufo

Dr. Lucia Santorufo

University of Naples "Federico II"
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

View All Publications
1 May 2014 in Basic and Applied Ecology
Verified
Journal Article
Closed access
BPBenjamin Pey
Benjamin Pey
JNJohanne Nahmani
Johanne Nahmani
AAApolline Auclerc
Apolline Auclerc
YCYvan Capowiez
Yvan Capowiez
DCDaniel Cluzeau
Daniel Cluzeau
MHMickaël Hedde
Mickaël Hedde

1 February 2012 in Environmental Pollution
Verified
Journal Article
Closed access
LSLucia Santorufo
Lucia Santorufo
CGCornelis A.M. Van Gestel
Cornelis A.M. Van Gestel
ARAnnamaria Rocco
Annamaria Rocco
GMGiulia Maisto
Giulia Maisto

13 October 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
BPBenjamin Pey
Benjamin Pey
MLMarie-Angélique Laporte
Marie-Angélique Laporte
JNJohanne Nahmani
Johanne Nahmani
AAApolline Auclerc
Apolline Auclerc
YCYvan Capowiez
Yvan Capowiez
MHMickaël Hedde
Mickaël Hedde
Soil invertebrates are known to be much involved in soil behaviour and therefore in the provision of ecosystem services. Functional trait-based approaches are methodologies which can be used to understand soil invertebrates’ responses to their environment. They (i) improve the predictions and (ii) are less dependent on space and time. The way traits have been used recently has led to misunderstandings in the integration and interpretation of data. Trait semantics are especially concerned. The aim of this paper is to propose a thesaurus for soil invertebrate trait-based approaches. T-SITA, an Internet platform, is the first initiative to deal with the semantics of traits and ecological preferences for soil invertebrates. It reflects the agreement of a scientific expert community to fix semantic properties (e.g. definition) of approximately 100 traits and ecological preferences. In addition, T-SITA has been successfully linked with a fully operational database of soil invertebrate traits. Such a link enhances data integration and improves the scientific integrity of data.

1 June 2014 in Applied Soil Ecology
Verified
Journal Article
Closed access
LSLucia Santorufo
Lucia Santorufo
JCJérôme Cortet
Jérôme Cortet
Carmen ArenaCarmen Arena
Carmen Arena
RGRomain Goudon
Romain Goudon
ARAlain Rakoto
Alain Rakoto
GMGiulia Maisto
Giulia Maisto

1 July 2012 in Chemosphere
Verified
Journal Article
Closed access
LSLucia Santorufo
Lucia Santorufo
CGCornelis A.M. Van Gestel
Cornelis A.M. Van Gestel
GMGiulia Maisto
Giulia Maisto

27 April 2021 in Plant and Soil
Verified
Journal Article
Open access
PDF file
GBGiuliano Bonanomi
Giuliano Bonanomi
Mohamed IDBELLAMohamed IDBELLA
Mohamed IDBELLA
MZMaurizio Zotti
Maurizio Zotti
LSLucia Santorufo
Lucia Santorufo
RMRiccardo Motti
Riccardo Motti
AMAnna De Marco
Anna De Marco
Aims: Data on the decomposition of fine roots are scarce for the Mediterranean basin. This work aims to compare chemical traits, decomposition rate, and temperature sensitivity (Q10) for root and leaf litter of 43 Mediterranean species. Methods: We carried out a two-years litterbag decomposition experiment using 43 fine roots litter and leaf litter types incubated in laboratory conditions at three different temperatures, i.e. 4 °C, 14 °C, and 24 °C. Litter was characterized for carbon (C), nitrogen (N), lignin and cellulose concentration, C/N, and lignin/N ratios. Results: Fine root litter had lower N content but higher lignin concentration, lignin/N, and C/N ratios compared to leaf litter. The decay rate of fine root litter was slower than leaf litter. For both tissues, the decay rate was negatively associated with lignin concentration, lignin/N, and C/N ratios but positively with N concentration. Q10 was higher for fine root than leaf litter, with a positive correlation with lignin while negative with N concentration. Conclusions: Our findings demonstrate a higher Q10 accompanied by a slower decomposition rate of fine root litter compared to leaf litter in Mediterranean ecosystems. These results must be considered in modeling organic C at the ecosystem scale.