Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Incorporating Stakeholder Knowledge Into a Complex Stock Assessment Model, the Case of Eel Recruitment

Hilaire Drouineau
* ORCID logo ,
Vanacker Marie
,
Estibaliz Diaz
,
Mateo Santos Maria
,
Korta Maria
,
Antunes Carlos
ORCID logo ,
Carlos Fernández-Delgado
ORCID logo ,
Isabel Domingos
,
Luis Miguel Zamora Hernandez
,
Beaulaton Laurent
ORCID logo ,
Lambert Patrick
,
Cédric Briand
Version 1 : Received: 14 April 2021 / Approved: 16 April 2021 / Online: 16 April 2021 (09:42:59 CEST)

A peer-reviewed article of this Preprint also exists.

Drouineau, H.; Vanacker, M.; Diaz, E.; Mateo, M.; Korta, M.; Antunes, C.; Delgado, C.F.; Domingos, I.; Zamora, L.; Beaulaton, L.; Lambert, P.; Briand, C. Incorporating Stakeholder Knowledge into a Complex Stock Assessment Model: The Case of Eel Recruitment. Water 2021, 13, 1136. Drouineau, H.; Vanacker, M.; Diaz, E.; Mateo, M.; Korta, M.; Antunes, C.; Delgado, C.F.; Domingos, I.; Zamora, L.; Beaulaton, L.; Lambert, P.; Briand, C. Incorporating Stakeholder Knowledge into a Complex Stock Assessment Model: The Case of Eel Recruitment. Water 2021, 13, 1136.

Abstract

Mistrust between scientists and non-scientist stakeholders is a key challenge in fishery management. This problem is exacerbated with the use of complex models to support management: these models suffer from difficulties in communicating their results and a lack of confidence from end users. The European eel is an illustrative example; its complex life cycle raises problems of coordination and discussion among the multiple actors involved in the management of the species. The GEREM model has been proposed as a tool for estimating recruitment, but its complexity, which is essential for addressing the characteristics of the species, makes it difficult to understand and accept by all stakeholders. In the context of the SUDOANG project, we proposed a co-parametrization of this assessment model to tackle this mistrust. Through the use of various questionnaires and appropriate statistical analyses, stakeholders were involved in two important choices for the model (zone definition and prior construction). Regular workshops and presentations were organised to explain the model rationales and to gather feedback and expectations. The results show that stakeholders have very similar perceptions of the potential definitions of sub-areas of recruitment in south-western Europe, and these perceptions are consistent with the underlying environmental conditions. On the other hand, the stakeholders have contrasting opinions about the exploitation rates of fisheries in different river basins, and the use of their knowledge currently has little effect on GEREM estimates. More importantly, the overall approach of this study is thought to have reconstructed the trust and confidence among participants.

Keywords

Anguilla anguilla; complex model; participatory assessment; DISTATIS; Bayesian assessment model; GEREM

Subject

Biology and Life Sciences, Anatomy and Physiology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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