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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

Grazia Pennino Maria, Conesa David, López-Quıílez Antonio, Munoz Facundo, Fernández Angel, Bellido José María. 2016. Fishery-dependent and -independent data lead to consistent estimations of essential habitats. ICES Journal of Marine Science, 73 (9) : pp. 2302-2310.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : FISHERIES / Quartile : Q1, Sujet : MARINE & FRESHWATER BIOLOGY / Quartile : Q1, Sujet : OCEANOGRAPHY

Abstract : Species mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Essential Fish Habitats of three elasmobranch species (S. canicula, G. melastomus, and E. spinax). Similarity and prediction statistics are used to compare the two different spatial patterns obtained by applying the same Bayesian spatio-temporal modelling approach in the two sources. Results showed that the spatial patterns obtained are similar, although differences are present. In particular, models based on fishery-dependent data are better able to identify temporal relationships between the probability of presence of the species and seasonal environmental variables. In contrast, fishery-independent data better discriminate spatial locations where a species is present or absent. Besides the spatial and temporal differences of the two datasets, the consistency of habitat results highlights the inclusion in each dataset of most of the environmental envelope of each species, both in time and space. Consequently, sampling data should be adapted to each species to reasonably cover their environmental envelope, and a combination of datasets will likely provide a better habitat estimation than using each dataset independently. These findings can be useful in helping fishery managers improve definition of survey design and analyses.

Mots-clés Agrovoc : habitat, Théorie bayésienne, Distribution des populations, Ressource halieutique, Donnée sur les pêches, Écologie marine, Elasmobranchii, Scyliorhinus canicula, Galeus melastomus, Etmopterus spinax, Gestion des pêches, Gestion et conservation des pêches

Mots-clés complémentaires : Modélisation Bayésienne

Mots-clés libres : Species distribution modelling, Ecology, Habitat management, Bayesian analysis

Classification Agris : M01 - Fisheries and aquaculture - General aspects
M40 - Aquatic ecology

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

Auteurs et affiliations

  • Grazia Pennino Maria, FURG (BRA) - auteur correspondant
  • Conesa David, Universitat de Valencia (ESP)
  • López-Quıílez Antonio, Universitat de Valencia (ESP)
  • Munoz Facundo, INRA (FRA) ORCID: 0000-0002-5061-4241
  • Fernández Angel, Instituto Español de Oceanografía (ESP)
  • Bellido José María, Instituto Español de Oceanografía (ESP)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/596855/)

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