R Eco Lab

Publications

This is the updated list of our papers on International Scientific Indexing (ISI) Journals, sorted by year

2025

Marsaglia et al. (2025). Shedding light on trawl fishing activity in the Mediterranean Sea with remote sensing data. ICES Journal of Marine Science 82 (2), fsae153.

Sbrana et al. (2025). Exploring spatial-based management scenarios to protect the seafloor in different areas of the Mediterranean Sea. ICES Journal of Marine Science 82 (3), fsaf023.

Sbrana et al. (2025). The effect of marine litter on fishery economic performance. Fisheries Research 285, 107346

Henriques et al. (2025). On the accuracy of self-reported data for fishing effort estimates–A case study from a polyvalent coastal fishery. Fisheries Research 288, 107483

Henriques et al. (2025). Improving monitoring, control and surveillance efforts through vessel tracking and fishery dependent data. Ocean & Coastal Management 269, 107789

Rufino et al. (2025). Implications of low temporal resolution of vessel tracking systems. ICES Journal of Marine Science 82 (8), fsaf123

2024

Cicala et al. (2024). Spatial analysis of demersal food webs through integration of eDNA metabarcoding with fishing activities. front mar sci DOI: 10.3389/fmars.2023.1209093

Paramana et al. (2024). Screening and assessing physical pressures affecting seafloor integrity in the mediterranean region. Ocean and Coastal Management 251-107046. DOI: 10.1016/j.ocecoaman.2024.107046

Pegado et al. (2024). Meso- and microplastic composition, distribution patterns and drivers: A snapshot of plastic pollution on Brazilian beaches. Science of the Total Environment 907 – 167769. DOI: 10.1016/j.scitotenv.2023.167769

Sbrana et al. (2024). Environmental DNA metabarcoding reveals the effects of seafloor litter and trawling on marine biodiversity. Marine Environmental Research. DOI: 10.1016/j.marenvres.2024.106415

Panzeri et al. (2024). Identifying priority areas for spatial management of mixed fisheries using ensemble of multi‐species distribution models Fish and Fisheries. 2023;00:1–18. doi: 10.1111/faf.12802

Maiello et al. (2024). Fishing in the gene-pool: implementing trawl-associated eDNA metaprobe for large scale monitoring of fish assemblages. Reviews in Fish Biology and Fisheries 34 (4), 1293-1307

Maioli et al. (2024). Assessing the overlap between fishing and chondrichthyans exposes high‐risk areas for bycatch of threatened species. Ecosphere 15 (11), e70050

Welch et al. (2024). Harnessing AI to map global fishing vessel activity. One Earth 7 (10), 1685-1691

Henriques et al. (2024). Let’s measure it: an approach of high-resolution estimates of bottom fixed net fishing effort at national level. Fisheries Research 278, 107118

Schmid et al. (2024). Use of long-term underwater camera surveillance to assess the effects of the largest Amazonian hydroelectric dam on fish communities. Scientific Reports 14 (1), 22366

Arjona-Camas et al. (2024). Trawling-Induced Sedimentary Dynamics in Submarine Canyons of the Gulf of Palermo (SW Mediterranean Sea). Journal of Marine Science and Engineering 12 (7), 1050

2023

Maiello G. et al. (2023). Net gain: Low‐cost, trawl‐associated eDNA samplers upscale ecological assessment of marine demersal communities. Environmental DNA. 2023;00:1–13. DOI: 10.1002/edn3.389

Henriques N.S. et al. (2023). An approach to map and quantify the fishing effort of polyvalent passive gear fishing fleets using geospatial data. ICES Journal of Marine Science, 2023, 0, 1–12 DOI: 10.1093/icesjms/fsad092

Albonetti L. et al. (2023). DNA metabarcoding of trawling bycatch reveals diversity and distribution patterns of sharks and rays in the central Tyrrhenian Sea. ICES Journal of Marine Science, 2023, 0, 1–11 DOI: 10.1093/icesjms/fsad022

2022

Sbrana A. et al. (2022). Ask the shark: blackmouth catshark (Galeus melastomus) as a sentinel of plastic waste on the seabed, Marine Biology, 169 (7), 1-185, DOI: doi.org/10.1007/s00227-022-04084-1

Agnetta D. et al. (2022). Interactive effects of fishing effort reduction and climate change in a central Mediterranean fishing area: Insights from bio-economic indices derived from a dynamic food-web model. Frontiers in Marine Science. DOI: doi.org/10.3389/fmars.2022.909164

Good E. et al. (2022). Detection of community-wide impacts of bottom trawl fishing on deep-sea assemblages using environmental DNA metabarcoding. Marine Pollution Bulletin. DOI: doi.org/10.1016/j.marpolbul.2022.114062

Macic V. et al. (2022). Improving knowledge of Funiculina quadrangularis and vulnerable marine ecosystems in the south Adriatic. Mediterranean Marine Science. DOI: doi.org/10.12681/mms.29898

Carlucci R. et al. (2022). Application of a multi-species bio-economic modelling approach to explore fishing traits within eligible cetacean conservation areas in the Northern Ionian Sea (Central Mediterranean Sea). Frontiers in Marine Science. DOI: doi.org/10.3389/fmars.2022.1005649

Russo T. et al. (2022). Fishing in the time of COVID-19: Effects on fishing activities, resources, and marine ecosystems. Frontiers in Marine Science. DOI: doi.org/10.3389/fmars.2022.1046385

Monteiro R. et al.(2022). GLOVE: The Global Plastic Ingestion Initiative for a cleaner world. Marine Pollution Bulletin. DOI: doi.org/10.1016/j.marpolbul.2022.114244

Cau A. et al.(2022). Scattered accumulation hotspots of macro-litter on the seafloor: Insights for mitigation actions. DOI: doi.org/10.1016/j.envpol.2021.118338

Brabo L. et al. (2022). Disentangling beach litter pollution patterns to provide better guidelines for decision-making in coastal management. Marine Pollution Bulletin. DOI: doi.org/10.1016/j.marpolbul.2021.113310

Russo T. et al. (2022). Defend as You Can, React Quickly: The Effects of the COVID-19 Shock on a Large Fishery of the Mediterranean Sea. Frontiers in Marine Science. DOI: doi.org/10.3389/fmars.2022.824857

Di Maio F. et al. (2022). Evaluation of the economic performance of coastal trawling off the southern coast of Sicily (Central Mediterranean Sea). Sustainability. DOI: doi.org/10.3390/su14084743

Maiello G. et al. (2022). Little samplers, big fleet: eDNA metabarcoding from commercial trawlers enhances ocean monitoring. Fisheries Research. DOI: doi.org/10.1016/j.fishres.2022.106259

2021

von Schuckmann K. et al. (2021). Copernicus Marine Service Ocean State Report, Issue 5, Journal of Operational Oceanography, DOI: 10.1080/1755876X.2021.1946240

Casabianca S. et al. (2021) Ecological implications beyond the ecotoxicity of plastic debris on marine phytoplankton assemblage structure and functioning. Environmental Pollution 290.

Franceschini S. et al. (2021) Eating Near the Dump: Identification of Nearby Plastic Hotspot as a Proxy for Potential Microplastic Contamination in the Norwegian Lobster (Nephrops norvegicus). Front. Mar. Sci. DOI: 10.3389/fmars.2021.682616

Milisenda G. et al. (2021) Identifying Persistent Hot Spot Areas of Undersized Fish and Crustaceans in Southern European Waters: Implication for Fishery Management Under the Discard Ban Regulation. Front. Mar. Sci. 8:610241. doi: 10.3389/fmars.2021.610241

Cardinale M. et al. (2021). The Mediterranean fishery management: A call for shifting the current paradigm from duplication to synergy. Marine Policy 104612

Paradis S. et al. (2021). Evidence of large increases in sedimentation rates due to fish trawling in submarine canyons of the Gulf of Palermo (SW Mediterranean). Marine Pollution Bulletin 172 112861

2020

D’Andrea L. et al. (2020). The MINOUWApp: a web-based tool in support of by-catch and discards management. Environ Monit Assess 192:754

Russo T. et al., (2020). All is fish that comes to the net: metabarcoding for rapid fisheries catch assessment. Ecological Applications. e02273.

De Angelis P. et al. (2020). Strategies and trends of bottom trawl fisheries in the Mediterranean Sea. Marine Policy 118.

D’Andrea L. et al. (2020). smartR: An r package for spatial modelling of fisheries and scenario simulation of management strategies. Methods in Ecology and Evolution 11(7) 859-868.

Casabianca S. et al. (2020). Structure and environmental drivers of phytoplanktonic resting stage assemblages in the central Mediterranean Sea. Marine Ecology Progress Series 639:73-89.

2019

Franceschini S. et al. (2019). Rummaging through the bin: Modelling marine litter distribution using Artificial Neural Networks. Marine Pollution Bulletin 149.

Paradis S. et al. (2019). Organic matter contents and degradation in a highly trawled area during fresh particle inputs (Gulf of Castellammare, southwestern Mediterranean). Biogeosciences 16 (21).

Russo T. et al. (2019). Predicting fishing footprint of trawlers from environmental and fleet data: an application of artificial neural networks. Frontiers in Marine Science.

Mendo T. et al. (2019). Effect of temporal and spatial resolution on identification of fishing activities in small-scale fisheries using pots and traps. ICES Journal of Marine Science 76.

Russo T. et al. (2019) Simulating the Effects of Alternative Management Measures of Trawl Fisheries in the Central Mediterranean Sea: Application of a Multi-Species Bio-economic Modeling Approach. Frontiers in Marine Science. 

Russo T. et al. (2019) Trends in Effort and Yield of Trawl Fisheries: A Case Study From the Mediterranean Sea. Frontiers in Marine Science.

2018

Cianchetti-Benedetti M. et al. (2018) Interactions between commercial fishing vessels and a pelagic seabird in the Southern Mediterranean Sea. BMC Ecology 2018, 18:54.

Pierdomenico M. et al. (2018). Effects of trawling activity on the bamboo-coral Isidella elongata and the sea pen Funiculina quadrangularis along the Gioia Canyon (Western Mediterranean, southern Tyrrhenian Sea). Progress in Oceanography.

Lucchetti A. et al. (2018). Small pelagic purse seines in the Adriatic Sea: a spatial analysis and technical overview in relation to Mediterranean Regulation provisions. Marine Policy 98, 104–114.

Amoroso R.et al. (2018) Bottom trawl-fishing footprints on the world’s continental shelves. Proceedings of the National Accademy of Sciences of the Unites States. DOI: 10.1073/pnas.1802379115

Russo T. et al. (2017). A model combining landings and VMS data to estimate landings by fishing ground and harbor. Fisheries Research 199, 218–230.

2017

Lauria V. et al. (2017). Species distribution models of two critically endangered deep-sea octocorals reveal fishing impacts on vulnerable marine ecosystems in central Mediterranean Sea. Scientific Reports 7 (1), 8049

Gattone S.A. et al. (2017). A shape distance based on the Fisher-Rao metric and its application for shapes clustering. Physica A: Statistical Mechanics and its Applications 487, 93-102

Russo T. et al. (2017). A Holistic Approach to Fishery Management: Evidence and Insights from a Central Mediterranean Case Study (Western Ionian Sea). Front. Mar. Sci., doi: 10.3389/fmars.2017.00193

Eigaard OR. et al. (2017). The footprint of bottom trawling in European waters: distribution, intensity, and seabed integrity. Ices Journal of Marine Science, doi: 10.1093/icesjms/fsw194.

Russo T. et al. (2017). A model combining landings and VMS data to estimate landings by fishing ground and harbor. Fisheries Research 199, 218–230.

2016

Gambino M. et al. (2016). Towards an Integrated Coastal Zone Management in Campania Region (Italy): A Multidisciplinary Approach to the Analysis of Coastal Fishery Activities and their Socio-Economic Management. Procedia: Social & Behavioral Sciences, vol. 223, p. 342-348, ISSN: 1877-0428, doi: 10.1016/j.sbspro.2016.05.239.

Russo T. et al. (2016). Assessing the fishing footprint using data integrated from different tracking devices: issues and opportunities. Ecological Indicators 69: 818–827.

Carlucci R. et al. (2016). Modeling the spatial distribution of the striped dolphin (Stenella coeruleoalba) and common bottlenose dolphin (Tursiops truncatus) in the Gulf of Taranto (Northern Ionian Sea, Central-eastern Mediterranean Sea). Ecological Indicators 9: 707–721.

Russo T. et al. (2016). Modeling landings profiles of fishing vessels: An application of Self-Organizing Maps to VMS and logbook data. Fisheries Research 181: 34–47.

D’Onghia G. et al. 2016. Anthropogenic impact in the Santa Maria di Leuca cold-water coral province (Mediterranean Sea): Observations and conservation straits. Deep Sea Research Part II: Topical Studies in Oceanography.

Lucchetti A. et al. (2016). An interaction index to predict turtle bycatch in a Mediterranean bottom trawl fishery. Ecological Indicators 60 (2016) 557–564.

2015

Coria C.A.N. et al. (2015). Sea-scale agent-based simulator of Solea solea in the adriatic sea. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8938, pp. 259-275.

Pulcini D. et al. (2015). Testing the relationship between domestication and developmental instability in rainbow trout, Oncorhynchus mykiss (Teleostei, Salmonidae). Biological Journal of the Linnean Society 114: 608–628.

Russo T. et al. (2015) Modeling the strategy of mid-water trawlers targeting small pelagic fish in the Adriatic Sea and its drivers. Ecological Modelling 300: 102–113. 10.1016/j.ecolmodel.2014.12.001.

2014

Boglione C. et al. (2014) Skeletal Anomaly Monitoring in Rainbow Trout (Oncorhynchus mykiss, Walbaum 1792) Reared under Different Conditions. Plos One 9(5): e96983. doi:10.1371/journal.pone.0096983.

Scarcella G. et al. (2014) Common sole in the northern and central Adriatic Sea: Spatial management scenarios to rebuild the stock. Journal of Sea Research 89, 12-22.

Russo T. et al. (2014) SMART: A Spatially Explicit Bio-Economic Model for Assessing and Managing Demersal Fisheries, with an Application to Italian Trawlers in the Strait of Sicily. Plos One 9(1): e86222. doi:10.1371/journal.pone.0086222.

Russo T. et al. (2014) Applications of Self-Organizing Maps for Ecomorphological Investigations through Early Ontogeny of Fish. Plos One 9(1): e86646. doi:10.1371/journal.pone.0086646.

Russo T. et al. (2014) VMSbase: An R-Package for VMS and Logbook Data Management and Analysis in Fisheries Ecology. Plos One 9(6): e100195. doi:10.1371/journal.pone.0100195.

2013

Tancioni L. et al. (2013). Testing Species Delimitations in Four Italian Sympatric Leuciscine Fishes in the Tiber River: A Combined Morphological and Molecular Approach. Plos One 8(4), 1-10.

Pulcini D. et al. (2013). Domestication shapes morphology in rainbow trout Oncorhynchus mykiss. Journal of Fish Biology 82, 390 – 407.

2012

Pulcini D. et al. (2012). Rainbow trout (Oncorhynchus mykiss, Walbaum 1782) develop a more robust body shape under organic rearing. Aquaculture Research, 1-13.

Russo T. et al. (2012). “Right” or “Wrong”? A contribution to the ecology of sidedness in European flounder, Platichthys flesus (Linnaeus, 1758). Journal of Morphology 273:337–346.

2011

Russo T. et al. (2011). When behaviour reveals activity: inferring fishing métier from VMS data by artificial neural network. Fisheries Research 111: 53–64.

Russo T. et al. (2011). New insights in interpolating fishing tracks from VMS data for different métiers. Fisheries Research 108: 184–194.

2010

Russo T. et al. (2010). Application of the Self-Organizing Map to the study of skeletal anomalies in aquaculture: The case of dusky grouper (Epinephelus marginatus Lowe, 1834) juveniles reared under different rearing conditions. Aquaculture 315: 69-77.

Russo T. et al. (2010). Progress in modeling quality in aquaculture: an application of Self-Organizing Map to the study of skeletal anomalies and meristic counts in gilthead seabream (Sparus aurata, L. 1758). Journal of Applied Ichthyology 26: 360–365.

Toscano B., et al. (2010). An ecomorphological framework for the coexistence of two cyprinid fish and their hybrids in a novel environment. Biological Journal of the Linnean Society 99: 768–783.

2009

Russo T. et al. (2009). Progress in modelling herring populations: individual-based model of growth. ICES Journal of Marine Sciences 66: 1718-1725.

Russo T. et al. (2009). Lévy processes and stochastic von Bertalanffy models of growth, with application to fish population analysis. Journal of Theoretical Biology 258: 521-529.

Russo T. et al. (2009). Feeding preferences of the dusky grouper larvae reared in semi-intensive conditions: a contribution addressing the domestication of this species. Aquaculture 289: 289-296.

Russo T. et al. (2009). Shape and Size Variation: Growth and Development of the Dusky Grouper (Epinephelus marginatus Lowe, 1834). Journal of Morphology 270: 83-96.

2008

Russo T. et al. (2008). Relationship between body shape and trophic niche segregation in two closely related sympatric fishes. Journal of Fish Biology 73: 809-828

2007

Russo T. et al. (2007). Correspondence between shape and feeding habit changes throughout ontogeny of gilthead sea bream Sparus aurata L., 1758. Journal of Fish Biology 71: 629-656.