FN Archimer Export Format
PT J
TI What, where, and when: Spatial-temporal distribution of macro-litter on the seafloor of the western and central Mediterranean sea
BT 
AF Cau, Alessandro
   Sbrana, Alice
   Franceschini, Simone
   Fiorentino, Fabio
   Follesa, Maria Cristina
   Galgani, Francois
   Garofalo, Germana
   Gerigny, Olivia
   Profeta, Adriana
   Rinelli, Paola
   Sbrana, Mario
   Russo, Tommaso
AS 1:1,2;2:3,4;3:5;4:6,7;5:1,2;6:8;7:6,9;8:10;9:11;10:11;11:12;12:2,3;
FF 1:;2:;3:;4:;5:;6:PDG-ODE-LITTORAL-LERPAC;7:;8:PDG-ODE-LITTORAL-LERPAC;9:;10:;11:;12:;
C1 Dipartimento di Scienze della vita e dell'ambiente, Università degli Studi di Cagliari, Via Tommaso Fiorelli 1, 09126, Cagliari, Italy
   ConISMa, Piazzale Flaminio 9, 00196, Rome, Italy
   Laboratory of Experimental Ecology and Aquaculture, Department of Biology – University of Rome Tor Vergata, via della Ricerca Scientifica snc, 00133, Rome, Italy
   PhD program in Evolutionary Biology and Ecology, University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133, Rome, Italy
   Hawaiʻi Institute of Marine Biology, University of Hawaii at Mānoa, Kāne'ohe, HI, 96744, USA
   Italian National Research Council (CNR), Institute for Marine Biological Resources and Biotechnology (IRBIM), via L. Vaccari 61, 91026, Mazara del Vallo (TP), Italy
   Stazione Zoologica Anton Dohrn (SZN), Lungomare Cristoforo Colombo, 4521, 90149, Palermo, Italy
   Ifremer Centre Mediterranée, Laboratoire LER/PAC, immeuble Agostini, ZI Furiani, 20600, Bastia, Corse, France
   Italian Institute for Environmental Protection and Research (ISPRA), Lungomare Cristoforo Colombo, 4521, 90149, Palermo, Italy
   Ifremer Centre Mediterranée, Laboratoire LER/PAC, Zone Portuaire de Brégaillon, 83500, La Seyne-sur-Mer, France
   Italian National Research Council (CNR), Institute for Marine Biological Resources and Biotechnology (IRBIM), Via S. Raineri, 86 98122, Messina (ME), Italy
   Consorzio per il Centro Interuniversitario di Biologia Marina ed Ecologia Applicata “G. Bacci” (CIBM), viale N. Sauro 4, I-57128, Livorno, Italy
C2 UNIV CAGLIARI, ITALY
   CONISMA, ITALY
   UNIV ROME, ITALY
   UNIV ROME, ITALY
   UNIV HAWAII MANOA, USA
   CNR IRBIM, ITALY
   STAZ ZOOL ANTON DOHRN, ITALY
   IFREMER, FRANCE
   ISPRA, ITALY
   IFREMER, FRANCE
   CNR IRBIM, ITALY
   CIBM, ITALY
SI CORSE
   TOULON
SE PDG-ODE-LITTORAL-LERPAC
IN WOS Ifremer UPR
   copubli-europe
IF 8.9
TC 0
UR https://archimer.ifremer.fr/doc/00864/97594/106470.pdf
   https://archimer.ifremer.fr/doc/00864/97594/106471.docx
LA English
DT Article
CR MEDITS
DE ;Marine waste;Seafloor macro-litter hotspots;Waste management;Mitigation strategies;Litter removal
AB The progressive increase of marine macro-litter on the bottom of the Mediterranean Sea is an urgent problem that needs accurate information and guidance to identify those areas most at risk of accumulation. In the absence of dedicated monitoring programs, an important source of opportunistic data is fishery-independent monitoring campaigns of demersal resources. These data have long been used but not yet extensively. In this paper, MEDiterranean International Trawl Survey (MEDITS) data was supplemented with 18 layers of information related to major environmental (e.g. depth, sea water and wind velocity, sea waves) and anthropogenic (e.g. river inputs, shipping lanes, urban areas and ports, fishing effort) forcings that influence seafloor macro-litter distribution. The Random Forest (RF), a machine learning approach, was applied to: i) model the distribution of several litter categories at a high spatial resolution (i.e. 1 km2); ii) identify major accumulation hot spots and their temporal trends. Results indicate that RF is a very effective approach to model the distribution of marine macro-litter and provides a consistent picture of the heterogeneous distribution of different macro-litter categories. The most critical situation in the study area was observed in the north-eastern part of the western basin. In addition, the combined analysis of weight and density data identified a tendency for lighter items to accumulate in areas (such as the northern part of the Tyrrhenian Sea) with more stagnant currents. This approach, based on georeferenced information widely available in public databases, seems a natural candidate to be applied in other basins as a support and complement tool to field monitoring activities and strategies for protection and remediation of the most impacted areas. 
PY 2024
PD FEB
SO Environmental Pollution
SN 0269-7491
PU Elsevier BV
VL 342
UT 001129893200001
DI 10.1016/j.envpol.2023.123028
ID 97594
ER

EF