Risk analysis of invasive species by ballast water: Case study in the Port of Gijón, Bay of Biscay

Global transportation is increasing significantly, with maritime transport playing a central role in global trade, as approximately 90 % of goods are transported via sea routes. While ballast water is essential for maintaining ship stability and manoeuvrability, it also presents a major environmental risk due to its potential to unintentionally transport invasive species to new environments. If these species survive and establish in the recipient ecosystem, they may disrupt native communities, impact the economy, and pose threats to human health. Ships are therefore recognised as a primary vector for aquatic biological invasions, with the associated risk varying depending on the type and volume of ballast water carried. This study aims to assess the risk of invasive species introduction via ballast water by analysing maritime traffic at the Port of Gijón over a 21-year period. Located in the Bay of Biscay, Gijón is particularly vulnerable to the ecological impacts of intensive maritime activity. Based on traffic data, we developed a semi-quantitative procedure to estimate the biological contamination risk posed by each vessel arriving at the port. The analysis identifies countries of origin associated with risk and, through the use of biological databases and an evaluation of environmental conditions for species survival, generates a risk map that categorizes potential invasive species. The results suggest that vessels arriving from national ports pose the highest risk (40.59 %), followed by those from Portugal (10.48 %), the United Kingdom (8.89 %), and France (7.05 %). Based on traffic patterns, 23 potential invasive species were identified. Of these, 20 were categorized as high risk on the generated map, and 6 have already been confirmed as present in the study area. A simple and easily replicable procedure is proposed, which port authorities can implement using only existing records of port entries and exits. • Most ballast water arriving at Gijón port comes from Spain, followed by the UK and France. • A method for early detection of invasive species has been developed. • Potential threats to the Gijón port have been identified as 19 invasive species in total. • One of the predicted species, Bugula Neritina , has already been detected in the area. • The need to detect and prevent AIS at an early stage is emphasised in this study.

Authors

Institutions

Publication Details

Journal
Journal of Marine Systems
Published
2025-11-03
DOI
https://doi.org/10.1016/j.jmarsys.2025.104148
Primary Topic
Marine Ecology and Invasive Species
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk analysis of invasive species by ballast water: Case study in the Port of Gijón, Bay of Biscay

Eva García‐Vázquez, Verónica Soto-López, M. Bartolomé, Deva Menéndez-Teleña
Journal of Marine Systems
Marine Ecology and Invasive Species
article

Risk analysis of invasive species by ballast water: Case study in the Port of Gijón, Bay of Biscay

Eva García‐Vázquez, Verónica Soto-López, M. Bartolomé, Deva Menéndez-Teleña
article en

Abstract

Global transportation is increasing significantly, with maritime transport playing a central role in global trade, as approximately 90 % of goods are transported via sea routes. While ballast water is essential for maintaining ship stability and manoeuvrability, it also presents a major environmental risk due to its potential to unintentionally transport invasive species to new environments. If these species survive and establish in the recipient ecosystem, they may disrupt native communities, impact the economy, and pose threats to human health. Ships are therefore recognised as a primary vector for aquatic biological invasions, with the associated risk varying depending on the type and volume of ballast water carried. This study aims to assess the risk of invasive species introduction via ballast water by analysing maritime traffic at the Port of Gijón over a 21-year period. Located in the Bay of Biscay, Gijón is particularly vulnerable to the ecological impacts of intensive maritime activity. Based on traffic data, we developed a semi-quantitative procedure to estimate the biological contamination risk posed by each vessel arriving at the port. The analysis identifies countries of origin associated with risk and, through the use of biological databases and an evaluation of environmental conditions for species survival, generates a risk map that categorizes potential invasive species. The results suggest that vessels arriving from national ports pose the highest risk (40.59 %), followed by those from Portugal (10.48 %), the United Kingdom (8.89 %), and France (7.05 %). Based on traffic patterns, 23 potential invasive species were identified. Of these, 20 were categorized as high risk on the generated map, and 6 have already been confirmed as present in the study area. A simple and easily replicable procedure is proposed, which port authorities can implement using only existing records of port entries and exits. • Most ballast water arriving at Gijón port comes from Spain, followed by the UK and France. • A method for early detection of invasive species has been developed. • Potential threats to the Gijón port have been identified as 19 invasive species in total. • One of the predicted species, Bugula Neritina , has already been detected in the area. • The need to detect and prevent AIS at an early stage is emphasised in this study.

Journal of Marine SystemsVol. 252
Universidad de Oviedo (ES)
Openalex Percentile: Top 70%
Marine Ecology and Invasive Species
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.