You are currently viewing a new version of our website. To view the old version click .
Biology and Life Sciences Forum
  • Abstract
  • Open Access

15 June 2022

Evaluating Silver Eel Escapement at a Large Scale Using Eel Density Analysis (EDA) †

,
,
,
,
,
,
,
,
and
1
AZTI, Sustainable Fisheries Management, Basque Research and Technology Alliance (BRTA), 48395 Sukarrieta, Spain
2
Service Conservation et Gestion Durable des Espèces Exploitées, Direction de la Recherche et de l’Appui Scientifique, OFB & Management of Diadromous Fish in their Environment, OFB, INRAE, Institute Agro, E2S UPPA, 35000 Rennes, France
3
INRAE, UR EABX, 33612 Cestas, France
4
CIIMAR—Interdisciplinary Centre of Marine and Environmental Research, Universidade do Porto, 4450-208 Matosinhos, Portugal
This article belongs to the Proceedings The IX Iberian Congress of Ichthyology

Abstract

The European eel population has declined over the last 50 years and is outside safe biological limits. In 2007, the European Commission enforced a regulation to ensure that all Member States implement Management Plans to achieve an escapement rate of 40% for silver eels. However, escapement is assessed using diverse methods, and therefore, estimates of different countries are not comparable. Thus, European scientists and managers face the challenge of finding a method that could be applied all along the European eel distribution range using widely available data. During the SUDOANG project, the Eel Density Analysis model (EDA) was used to estimate the silver eel escapement in Spain, France, and Portugal. EDA can estimate silver eel escapement at different scales (basin, EMU, country, international) using data from routine electrofishing surveys, such as those collected for the Water Framework Directive (WFD). EDA is based on open-source software and is widely applicable to European rivers. A chained river network in the three countries was built, including the hydrological attributes, the location, and the characteristics of 10,574 obstacles. A total of 46,118 electrofishing operations from 1985 to 2019 were also compiled and projected to the hydrographic network. Finally, EDA was implemented through the sub-models on eel presence–absence, density, size structure, and silvering. EDA estimated a total fluvial population of 12.3, 11.7, and 5.8 million silver eels for 2015 in France, Spain, and Portugal, respectively. Eel presence and abundance decreased as the altitude and the distance to the sea increased. Finally, by setting the cumulated height of dams to zero, EDA provided an estimate of the effect of habitat loss due to dams on the eel population. These results correspond to the first assessment of silver eels carried out simultaneously and with the same methodologies in three European countries.

Author Contributions

Conceptualization, C.B., M.M., E.D., H.D. and L.B.; methodology, C.B., M.M., H.D. and L.B.; software, C.B., M.M. and L.B.; validation, M.K., E.D., L.B., H.D., C.A., E.A., A.B., I.D., C.F.D., P.S. and L.Z.; formal analysis, C.B. and M.M.; investigation, C.B., M.M., E.D., H.D. and L.B.; resources, C.A., E.A., A.B., I.D., C.F.D., P.S. and L.Z.; data curation, M.M., C.B., C.A., E.A., A.B., M.J.C., J.L.C., A.C., R.J.d.M.R., I.D., E.F., C.F.D., M.L., R.M., A.M., T.P., P.S., G.S. and L.Z.; writing—original draft preparation, M.M., C.B. and E.D.; writing—review and editing, M.M., C.B., E.D., L.B., H.D., C.A., E.A., A.B., M.J.C., J.L.C., A.C., R.J.d.M.R., I.D., E.F., C.F.D., M.L., R.M., A.M., T.P., P.S., G.S. and L.Z.; visualization, M.M., C.B., M.K. and H.D.; supervision, C.B., L.B. and E.D.; project administration, E.D.; funding acquisition, E.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was co-financed by the INTERREG SUDOE Programme through the European Regional Development Fund (ERDF).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in Zenodo: Mateo, M.; Drouineau, H.; Pella, H.; Beaulaton, L.; Amilhat, E.; Bardonnet, A.; Domingos, I.; Fernández-Delgado, C.; De Miguel Rubio, R.; Herrera, M.; Korta, M.; Zamora, L.; Díaz, E.; Briand, C. (2021). Atlas of European Eel Distribution (Anguilla anguilla) in Portugal, Spain and France (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6021838. Briand, C.; Mateo, M.; Drouineau, H.; Korta, M.; Díaz, E.; Beaulaton, L. (2022). Electrofishing data for eel (Anguilla anguilla) in the SUDOE area (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6023561. The database is also available for download on the project website: https://sudoang.eu/en/.

Conflicts of Interest

The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.