Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 8 min ago
Peer-reviewedCC BYFisheries Research

Data-limited vulnerability assessment of demersal fisheries in French overseas territories

Abstract

Small-scale demersal fisheries in tropical territories support local economies and food security but are difficult to assess because of multispecies catches, diverse fishing practices, and limited biological and fisheries data. As a result, most stocks fall within data-limited categories for which conventional analytical assessments are not feasible. This study applied a productivity–Susceptibility Analysis (PSA) to evaluate the relative vulnerability of 172 demersal stocks (234 species) exploited by artisanal fisheries in five tropical territories: French Guiana, French Antilles, Mayotte, Réunion Island, and French Polynesia. To improve the interpretability of the results, vulnerability thresholds were calibrated using categories from the IUCN Red List as an independent reference for biological risk. The analysis revealed distinct regional differences in the vulnerability of the stocks. Mayotte exhibited the highest vulnerability, driven by both low productivity and high susceptibility, which is potentially linked to limited management measures regulating catch and harvest size. In French Guiana, vulnerability was also high but was mainly associated with low productivity, whereas susceptibility remained close to the regional average. Conversely, the French Antilles showed the lowest susceptibility scores, contributing to an overall lower vulnerability. These results highlight strong regional and taxonomic differences in vulnerability and reveal substantial knowledge gaps in life history and fisheries data. This study demonstrates that context-specific calibration of PSA thresholds can improve vulnerability screening and help prioritise research and precautionary management in tropical, data-limited fisheries.

Related

  1. Overview of the threats to the fauna and flora of the French overseas territories: insights from the National Red List
    Nathalie de Bouillane de Lacoste, Guillemette Labadie, Shankar Meyer +3
    NaturaePeer-reviewedCC BY 4.0Full textEcologyEnvironmental science & pollutionHAL
  2. Assessment of tropical cyclone vulnerability of coastal communities in Mtwara Municipal Council, Tanzania: a Composite Vulnerability Index approach
    Denis S. Ndenzako, Denis S. Ndenzako, Noah Makula Pauline +4
    Frontiers in ClimatePeer-reviewedCC BYFull textEnvironmental science & pollutionDOAJ
  3. Integrating hydro-climatic drivers, flood frequency, and dynamic perception for sustainability assessment of flood vulnerability in Lagos, Nigeria
    Opeyemi Aniramu, Raphael Odelola, Joseph Okebugwu +2
    Progress in Disaster SciencePeer-reviewedCC BY-NC6 citedClimate scienceOpenAlex
  4. Drought vulnerability assessment and its severe impact on crop production and livelihood of people: An empirical modelling of northern Ghana
    Theophilus Francis Kofitio, Peace Korshiwor Amoatey, Evans Asenso
    PLOS ClimatePeer-reviewedCC BY 4.0Full textAtmospheric science & meteorologyClimate sciencePLOS
  5. Application of the fuzzy analytical hierarchy process for flood vulnerability assessment in Sylhet District, Bangladesh
    Susmita Kundu, Md. Biplob Hosen, Samsunnahar Popy +4
    Discover EnvironmentPeer-reviewedCC BYFull textClimate scienceDOAJ
BibTeX
@article{tagliarolo2026datalimited,
  title = {{Data-limited vulnerability assessment of demersal fisheries in French overseas territories}},
  author = {Morgana Tagliarolo and Lionel Pawlowski and Cyrielle Jac and David Roos and Marguerite Taiarui and Thomas Camus and Simon van Wynsberge and Fabian Blanchard},
  journal = {Fisheries Research},
  year = {2026},
  month = oct,
  doi = {10.1016/j.fishres.2026.107862},
  url = {https://univ-perp.hal.science/hal-05826798v1},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Data-limited vulnerability assessment of demersal fisheries in French overseas territories
AU  - Morgana Tagliarolo
AU  - Lionel Pawlowski
AU  - Cyrielle Jac
AU  - David Roos
AU  - Marguerite Taiarui
AU  - Thomas Camus
AU  - Simon van Wynsberge
AU  - Fabian Blanchard
PY  - 2026
DA  - 2026/10/20
JO  - Fisheries Research
DO  - 10.1016/j.fishres.2026.107862
UR  - https://univ-perp.hal.science/hal-05826798v1
AB  - Small-scale demersal fisheries in tropical territories support local economies and food security but are difficult to assess because of multispecies catches, diverse fishing practices, and limited biological and fisheries data. As a result, most stocks fall within data-limited categories for which conventional analytical assessments are not feasible. This study applied a productivity–Susceptibility Analysis (PSA) to evaluate the relative vulnerability of 172 demersal stocks (234 species) exploited by artisanal fisheries in five tropical territories: French Guiana, French Antilles, Mayotte, Réunion Island, and French Polynesia. To improve the interpretability of the results, vulnerability thresholds were calibrated using categories from the IUCN Red List as an independent reference for biological risk. The analysis revealed distinct regional differences in the vulnerability of the stocks. Mayotte exhibited the highest vulnerability, driven by both low productivity and high susceptibility, which is potentially linked to limited management measures regulating catch and harvest size. In French Guiana, vulnerability was also high but was mainly associated with low productivity, whereas susceptibility remained close to the regional average. Conversely, the French Antilles showed the lowest susceptibility scores, contributing to an overall lower vulnerability. These results highlight strong regional and taxonomic differences in vulnerability and reveal substantial knowledge gaps in life history and fisheries data. This study demonstrates that context-specific calibration of PSA thresholds can improve vulnerability screening and help prioritise research and precautionary management in tropical, data-limited fisheries.
SN  - 0165-7836
SN  - 1872-6763
ER  -