Article
Fisheries
Sara Orofino, Gavin McDonald, Juan Mayorga, Christopher Costello, Darcy Bradley
Summary: When fisheries managers lack visibility of fishing activities, it enables illegal fishing and overfishing, hindering sustainable fisheries goals. Increasing transparency in vessel tracking offers promising potential for improved management. This paper provides a conceptual overview of how transparency can enhance fisheries management, identifying four pathways and the conditions for effective governance. By examining costs and benefits and addressing information gaps, this research highlights the need to understand the context and goals for better transparency models.
ICES JOURNAL OF MARINE SCIENCE
(2023)
Article
Automation & Control Systems
Mu-Yen Chen, Hsin-Te Wu
Summary: As intelligent transportation systems evolve, this article focuses on the fundamental components of vessels, harbors, and ship-shore information-communication technology applications. By integrating artificial intelligence and the 5G network, the research aims to ensure ship safety through information sharing and the implementation of geofencing technology. The proposed security mechanism detects malicious attacks and improves vessel safety through the use of the 5G network and sensors. The performance analysis and experimental results demonstrate the effectiveness of the network security approach and geofencing technology introduced in this article.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Environmental Sciences
Chongliang Zhang, Yong Chen, Binduo Xu, Ying Xue, Yiping Ren
Summary: Monitoring fishing activities is crucial for marine conservation. The advance of Automatic Identification System (AIS) provides the opportunity to enforce monitoring and promote responsible fisheries. A study in China found that fishing efforts were concentrated along the coastal line and highly influenced by the summer moratorium. Most fishing activities occurred in a limited spatial and temporal scope. Additionally, there has been a shift of fishing efforts from the Eastern China Sea to the coastal areas of south China in response to an extension of the summer moratorium.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Fisheries
Christopher R. Kerry, Owen M. Exeter, Matthew J. Witt
Summary: Seamounts are prominent features of the seafloor that host high biodiversity. This study analyzed fishing activity near seamounts globally and found that the Pacific Island Group and the Mediterranean Sea had the highest levels of longlining and trawling activities respectively. Fishing near seamounts is dominated by Taiwan, China, Japan, South Korea, and Spain. Additionally, many Regional Fishery Management Organizations have experienced increased fishing activity at seamounts compared to areas without management.
FISH AND FISHERIES
(2022)
Article
Multidisciplinary Sciences
Chao Lyu, He-xu Zhang, Shuang Liu, Yi Guo
Summary: This study proposes a method to evaluate the fishing capacity of fishing vessels by improving the evaluation index system and introducing cloud model theory. By converting qualitative evaluation results into numerical characteristics and combining graphical presentation and similarity comparison, the accuracy and credibility of the evaluation results are improved.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Civil
Imtiaz Ahmed, Mikyoung Jun, Yu Ding
Summary: Tracking multiple moving objects in real-time is crucial for national security and surveillance system. This research focuses on tracking maritime vessels and proposes a spatio-temporal approach using an Automatic Identification System. A newly developed data association algorithm shows competitive performance in the challenge.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Ties Emmens, Chintan Amrit, Asad Abdi, Mayukh Ghosh
Summary: AIS data plays a crucial role in maritime navigation, but its abundance and lack of quality make maximizing its value challenging. This study helps in understanding AIS data by identifying promises and perils through quantitative and qualitative analyses, as well as discussing in detail the sources of noise.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Chemistry, Analytical
Md Asif Bin Syed, Imtiaz Ahmed
Summary: Distinguishing between normal and anomalous vessel movement patterns is crucial in marine surveillance. This study introduces a 1D CNN-LSTM architecture-based framework for track association, which successfully captures spatial patterns and long-term temporal relations in sequential observations.
Article
Engineering, Marine
Bowen Xing, Liang Zhang, Zhenchong Liu, Hengjiang Sheng, Fujia Bi, Jingxiang Xu
Summary: The goal of this paper is to strengthen the supervision of fishing behavior in the East China Sea and ensure the sustainable development of fishery resources. Based on AIS data, the paper analyzes three types of fishing boats and proposes a new coding method for fishing boat trajectory sequences. The experimental results show that the proposed trajectory vectorization method has the highest F1_score, indicating its strong applicability and effectiveness in fishery area evaluations.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Edgar Torres-Irineo, Silvia Salas, Jorge Ivan Euan-Avila, Leopoldo E. Palomo, Daniel R. Quijano Quinones, Eva Coronado, Rocio Joo
Summary: Environmental factors play a key role in shaping the spatial distribution of potential fishing grounds in small-scale fisheries, as shown by data from a pilot VMS project in the Southeastern Gulf of Mexico. This approach provides an opportunity to better understand the factors influencing the spatial distribution of small-scale fleets and their operations.
FRONTIERS IN MARINE SCIENCE
(2021)
Article
Environmental Studies
Sarah Elizabeth Birchenough, Patrick Arthur Cooper, Antony Charles Jensen
Summary: This study tested the effectiveness of VMS technology in quantifying fishing activity in a near inshore fishery, comprised solely of <12 m vessels. Results showed a decline in overall fishing effort in 2014 and mixed seasonal usage of four defined areas of the Harbour. The study concluded that VMS data can be successfully used on the <12 m inshore sector to quantify patterns of activity and detect overlap with MPA features, aiding evidence-based management.
Article
Environmental Sciences
Shuxian Wang, Shengmao Zhang, Fenghua Tang, Yongchuang Shi, Yanming Sui, Xiumei Fan, Junlin Chen
Summary: This study applies deep learning technologies to the recognition of Chub mackerel fishing vessel behaviors, achieving significant optimization effects through the optimization of the dataset and network structure. It provides important references for the management of intelligent fishery vessels and the development of electronic monitoring systems.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Fisheries
Todd Bond, Dianne L. McLean, Corey B. Wakefield, Julian C. Partridge, Jane Prince, David White, Dion K. Boddington, Stephen J. Newman
Summary: The study found that fishing activity in the PTMF has increased near pipelines over time, with the time since installation being the best predictor of fishing activity. Additionally, there are significant spatial differences in fishing time and location.
REVIEWS IN FISH BIOLOGY AND FISHERIES
(2021)
Article
Marine & Freshwater Biology
Zhaojin Yan, Rong He, Xiaoguang Ruan, Hui Yang
Summary: This study proposes a framework for identifying and analyzing fishing vessel footprints and activities based on AIS data. The footprints and fishing intensities of fishing vessels in China's exclusive economic zone (EEZ) were analyzed using >130 million AIS data from 2015 to 2016, generating high-resolution fishing vessel activity distribution maps and fishing time distribution maps. The research results reveal positive spatial correlation in China's EEZ waters and highlight areas with high fishing intensities in coastal waters. These findings can be utilized for fishing area identification, fishery policy making, and promoting sustainable fisheries development.
JOURNAL OF SEA RESEARCH
(2022)
Article
Engineering, Marine
Sung-Chul Jang, Jin-Yong Jeong, Seung-Woo Lee, Dongha Kim
Summary: This study used numerical analysis models to evaluate the environmental conditions around underwater reefs and identified the wake region and local upwelling region as relevant hydraulic features for attracting fish. The research demonstrated that the hydraulic characteristics identified in the path of fishing vessels monitored by AIS can be quantitatively evaluated, potentially improving the productivity of artificial reefs.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Environmental Sciences
Alessandro Cau, Simone Franceschini, Davide Moccia, Pankaj A. Gorule, Blondine Agus, Andrea Bellodi, Rita Cannas, Laura Carugati, Danila Cuccu, Claudia Dessi, Martina F. Marongiu, Riccardo Melis, Antonello Mulas, Riccardo Porceddu, Cristina Porcu, Tommaso Russo, Maria Cristina Follesa
Summary: The analysis indicates that there is no temporal trend in the density and weight of seafloor macro-litter, but rather a spatial and bathymetric segregation of different litter categories. Different sources and physical features of macro-litter items lead to spatially segregated accumulation hotspots, with potential spots for future litter removal actions being shallower depths and closer to coastlines.
ENVIRONMENTAL POLLUTION
(2022)
Article
Environmental Sciences
Lucio Brabo, Ryan Andrades, Simone Franceschini, Marcelo Oliveira Soares, Tommaso Russo, Tommaso Giarrizzo
Summary: This study assessed beach litter pollution in a prominent touristic site in Brazil and identified pollution hotspots and significant drivers using a delta-generalized additive modeling approach. The findings highlight the importance of factors such as beach extension, tourist attractions, wind angle, and distance to water bodies and villages in influencing the distribution of litter types.
MARINE POLLUTION BULLETIN
(2022)
Article
Fisheries
Giulia Maiello, Lorenzo Talarico, Paolo Carpentieri, Simone Franceschini, Lynsey R. Harper, Erika F. Neave, Olga Rickards, Alice Sbrana, Peter Shum, Virginia Veltre, Stefano Mariani, Tommaso Russo
Summary: This study tests an easy-to-use device for monitoring marine resources, which can quickly collect environmental DNA during normal fishing operations on bottom trawl fishing vessels. Through sample collection and genetic analysis, the study accurately identifies fish assemblages at different depths and discovers mesopelagic species that are not caught by bottom trawls. This promising method has the potential to be a valuable tool for monitoring catch composition, assessing stock distribution, and documenting changes in fish communities in the oceans.
FISHERIES RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Federico Di Maio, Michele Luca Geraci, Danilo Scannella, Tommaso Russo, Fabio Fiorentino
Summary: This study analyzed the economic performances of four trawling fleets operating in the coastal waters along the southern coast of Sicily and potentially affected by the establishment of Fisheries Restricted Areas (FRAs). The results showed that two fleets had a short-term reduction in profits after the implementation of FRAs, while the other two fleets were expected to experience an increase in economic performances. Assessing the socio-economic impacts of the different fleets and planning compensatory measures are important considerations before adopting FRAs.
Article
Environmental Sciences
Tommaso Russo, Elena Catucci, Simone Franceschini, Lucio Labanchi, Simone Libralato, Evelina Carmen Sabatella, Rosaria Felicita Sabatella, Antonio Parisi, Fabio Fiorentino
Summary: This paper analyzes the impact of the SARS-CoV-2 coronavirus pandemic and related measures on the Italian fleet of trawlers and explores the influence of market and economic drivers on fishing effort and strategy. The results demonstrate that the consequences of the COVID-19 shock have been diverse, with some fishermen and their commercial network successfully mitigating the impact and returning catch and effort to previous levels.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Marine & Freshwater Biology
Alice Sbrana, Alessandro Cau, Davide Cicala, Simone Franceschini, Tommaso Giarrizzo, Maria Flavia Gravina, Alessandro Ligas, Giulia Maiello, Marco Matiddi, Antonio Parisi, Paolo Sartor, Mario Sbrana, Umberto Scacco, Tommaso Valente, Claudio Viva, Tommaso Russo
Summary: The presence of plastic waste in the marine environment has raised concerns in the scientific community. Scientists have used the feeding habits of the blackmouth catshark to indirectly assess the accumulation of macroplastics on the seafloor. It was discovered that there is a significant relationship between the amount of macroplastics on the seabed and the frequency of plastic ingestion by the blackmouth catshark.
Article
Multidisciplinary Sciences
Matteo Chiarini, Stefano Guicciardi, Silvia Angelini, Ian D. Tuck, Federica Grilli, Pierluigi Penna, Filippo Domenichetti, Giovanni Canduci, Andrea Belardinelli, Alberto Santojanni, Enrico Arneri, Nicoletta Milone, Damir Medvesek, Igor Isajlovic, Nedo Vrgoc, Michela Martinelli, Pierluigi Carbonara
Summary: This study investigated the spatial distribution and abundance of the Norway lobster Nephrops norvegicus in the Central Adriatic Sea, and how they are influenced by environmental and fishery variables. By standardizing Catch Per Unit Effort (CPUE), the variability not directly related to fish abundance was removed. Significant drivers of catch distribution were found to be bathymetry, fishing pressure, dissolved oxygen, and salinity. The predictions from this study provide valuable information for evaluating the status of this important marine resource.
Article
Green & Sustainable Science & Technology
Matteo Chiarini, Stefano Guicciardi, Lorenzo Zacchetti, Filippo Domenichetti, Giovanni Canduci, Silvia Angelini, Andrea Belardinelli, Camilla Croci, Giordano Giuliani, Paolo Scarpini, Alberto Santojanni, Damir Medvesek, Igor Isajlovic, Nedo Vrgoc, Michela Martinelli
Summary: The Before-Intermediate-After Multiple Sites (BIAMS) analysis was used to evaluate the effects of fishery management measures in the Pomo/Jabuka Pits area. The analysis identified early effects on species abundance and inferred potential interactions among adjacent areas.
Article
Environmental Sciences
Davide Agnetta, Fabio Badalamenti, Francesco Colloca, Gianpiero Cossarini, Fabio Fiorentino, Germana Garofalo, Bernardo Patti, Carlo Pipitone, Tommaso Russo, Cosimo Solidoro, Simone Libralato
Summary: This study develops a calibrated dynamic model to evaluate the effects of mixed fisheries and climate change on the Sicily Channel food web. The results show that reducing bottom trawling effort has positive impacts on the biomass of many functional groups, but negative impacts on trawler's catches and economic incomes. However, in the long term, the biomass of commercial species recovers, making exploitation of marine resources more sustainable.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Environmental Sciences
Edward Good, Luke E. Holman, Antonio Pusceddu, Tommaso Russo, Marc Rius, Claudio Lo Iacono
Summary: Using environmental DNA (eDNA) and taxonomic identification of meiofauna communities, this study finds that benthic trawling has community-wide impacts on deep-sea assemblages, with different trawling intensities leading to distinct communities.
MARINE POLLUTION BULLETIN
(2022)
Article
Fisheries
Vesna Macic, Nikola Dordevic, Mirko Durovic, Slavica Petovic, Tommaso Russo
Summary: The Adriatic Sea is highly exploited, but the South Adriatic Sea remains largely unexplored. Human impacts are causing loss of flagship species and threatening ecosystem functioning. Further research and international cooperation are needed to protect vulnerable species and areas.
MEDITERRANEAN MARINE SCIENCE
(2022)
Review
Environmental Sciences
Jacopo Aguzzi, Damianos Chatzievangelou, Nathan J. Robinson, Nixon Bahamon, Alan Berry, Marc Carreras, Joan Batista Company, Corrado Costa, Joaquin del Rio Fernandez, Ahmad Falahzadeh, Spyros Fifas, Sascha Floegel, Jordi Grinyo, Jonas Pall Jonasson, Patrik Jonsson, Colm Lordan, Mathieu Lundy, Simone Marini, Michela Martinelli, Ivan Masmitja, Luca Mirimin, Atif Naseer, Joan Navarro, Narcis Palomeras, Giacomo Picardi, Cristina Silva, Sergio Stefanni, Maria Vigo, Yolanda Vila, Adrian Weetman, Jennifer Doyle
Summary: The article introduces how innovative ecological monitoring technologies can be used to improve the accuracy of stock assessments for the Norway lobster. By using robotic platforms, telemetry, environmental DNA, and Artificial Intelligence tools, it is possible to better observe and count the lobsters and their burrow systems, as well as provide important insights into their burrowing behavior.
FRONTIERS IN MARINE SCIENCE
(2022)
Review
Biology
Jacopo Aguzzi, Simona Violino, Corrado Costa, Nixon Bahamon, Joan Navarro, Damianos Chatzievangelou, Nathan. J. J. Robinson, Jennifer Doyle, Michela Martinelli, Colm Lordan, Joan. B. B. Company
Summary: This study used VOSviewer software to investigate the research status of Norway lobsters by analyzing scientific literature published in SCOPUS. The analysis revealed that research focused on fishery performance, biological cycles, and physiology and ecotoxicology. However, there is limited knowledge about how the burrowing behavior of Norway lobsters is influenced by environmental conditions and its impact on stock assessment, which may be due to the underutilization of advanced monitoring technologies.
Article
Fisheries
Nuno Henriques, Tommaso Russo, Luis Bentes, Pedro Monteiro, Antonio Parisi, Ramiro Magno, Frederico Oliveira, Karim Erzini, Jorge M. S. Goncalves
Summary: The use of tracking devices has allowed for an expansion in our understanding of fishing activities. This paper proposes a methodology to map and quantify the fishing effort of passive fishing gears used by a multi-gear fleet. This approach can be adapted to other passive fisheries and provides valuable information for improved management.
ICES JOURNAL OF MARINE SCIENCE
(2023)
Article
Fisheries
Michela Martinelli, Lorenzo Zacchetti, Andrea Belardinelli, Filippo Domenichetti, Paolo Scarpini, Pierluigi Penna, Damir Medvesek, Igor Isajlovic, Nedo Vrgoc
Summary: Marine ecosystem is affected by bottom trawling in the exploitation of marine resources, therefore, management should consider sensitive species as indicators of ecosystem health. Epibenthic organisms, such as sea pens, are commonly used to assess benthic conditions, especially in areas with intense trawling activities. The nursery for European hake, Pomo/Jabuka Pits fishing ground, in the Adriatic Sea, is home to a small but dense population of Norway lobster and abundant pink shrimp. Through UnderWater TeleVision surveys conducted from 2012 to 2019, the abundance and distribution of Funiculina quadrangularis, a sea pen, were quantified in relation to changes in the spatial and temporal distribution of fishing efforts. The results showed that the closure of fisheries can lead to an increase in F. quadrangularis density, indicating the positive influence of management measures on epibenthic communities and the potential of sea pens as indicators of habitat impact and/or recovery.
Article
Biodiversity Conservation
Yongcui Lan, Jinliang Wang, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo
Summary: This study focuses on the five major plateau lake basins in central Yunnan, China, and constructs an ecological security pattern using the source-resistance surface-corridor-pinch point framework. The study simulates land use/cover change in the region and identifies early warning regions where future urban expansion poses a threat to current ecological source areas and corridors.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Pingping Huang, Feng Zhao, Bailing Zhou, Kuidong Xu
Summary: This study investigates the distribution of benthic microeukaryotes in the China Seas and finds that they can stride over the ecological barrier of 32 degrees N. The study also highlights the significant influence of depth, temperature, and latitude on communities in the China Seas.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Federico Morelli, Yanina Benedetti, Jesse Stanford, Leszek Jerzak, Piotr Tryjanowski, Paolo Perna, Riccardo Santolini
Summary: Species distribution models (SDMs) are numerical tools used for predicting species' spatial distribution. This study found that ecological characteristics, such as habitat specialization, play a role in improving the accuracy of SDMs.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Xiaoxuan Wu, Hang Liu, Wei Liu
Summary: Global climate change, urbanization, and economic development have increased the need for sustainable human development, urban ecological governance, and low-carbon energy transformation. This study analyzes the green ecological transition in Chengdu based on panel data from 2010 to 2020, exploring its spatiotemporal evolution and key factors. The results show an overall upward trend in Chengdu's green ecological development and positive spatial autocorrelation in certain districts.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Castaldi Simona, Formicola Nicola, Mastrocicco Micol, Morales Rodriguez Carmen, Morelli Raffaella, Prodorutti Daniele, Vannini Andrea, Zanzotti Roberto
Summary: Sustainable agricultural practices are increasingly important for global and national environmental policies and economy. This study compared the sustainability of grape production under integrated and organic management using multiple indicators. The results showed that organic management was more beneficial for most environmental aspects of the agroecosystem compared to integrated management, without affecting grape yield.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Gaia Vaglio Laurin, Alexander Cotrina-Sanchez, Luca Belelli-Marchesini, Enrico Tomelleri, Giovanna Battipaglia, Claudia Cocozza, Francesco Niccoli, Jerzy Piotr Kabala, Damiano Gianelle, Loris Vescovo, Luca Da Ros, Riccardo Valentini
Summary: Phenology monitoring is important for understanding forest functioning and climate impacts. This research compares the phenological behavior of European beech forests using Tree-Talker (TT+) and Sentinel 2 satellite data. The study finds differences in the information derived by the two sensor types, particularly in terms of season length, phenology changepoints, and leaf period variability. TT+ with its higher temporal resolution demonstrates precision in capturing the phenological changepoints, especially when satellite image availability is limited.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Huanhuan Pan, Ziqiang Du, Zhitao Wu, Hong Zhang, Keming Ma
Summary: The land use and cover changes resulting from coal mining activities and ecological restoration have had a significant impact on ecosystem services in mining areas. This study investigates the relationship between ecosystem services and land use intensity in coal mining areas, emphasizing the importance of understanding this interdependence for balanced human-land system development. The research examines the evolving relationship across different reclamation stages in Shanxi, China, using a coupling coordination degree model. The findings suggest the need for timely and judicious reclamation of coalfields, considering the land's bearing capacity.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Jingjuan He, Yijun Shi, Lihua Xu, Zhangwei Lu, Mao Feng
Summary: This study examines the spatial interplay between changes in the blue-green spatial distribution and modifications in land surface temperature grades in Shanghai. The findings reveal that the transformation of the blue-green spatial pattern differs between different sectors of the city, and the impact on the thermal environment varies spatially.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan
Summary: This study analyzed the response relationship between phytoplankton growth and water environmental parameters in the Middle Route of the South-to-North Water Diversion Project in China using long-term monitoring data and machine learning models. The results revealed the differences between monitoring sites and identified the key parameters that affect phytoplankton growth.
ECOLOGICAL INDICATORS
(2024)
