Adapting the sampling design of research surveys to improve the biomass estimation of secondary species—the case study of Raja clavata

Author:

Silva D1ORCID,Menezes R2,Serra-Pereira B3ORCID,Azevedo M3ORCID,Figueiredo I3

Affiliation:

1. University of Minho, Centre of Mathematics (CMAT) , Braga 4710-057 , Portugal

2. University of Minho, Centre of Mathematics (CMAT) , Guimarães 4800-058 , Portugal

3. Portuguese Institute for the Sea and Atmosphere (IPMA), Division of Modelling and Management of Fishery Resources , Algés 1495-165 , Portugal

Abstract

Abstract Research surveys are important to evaluate fishery resources’ spatial distribution and abundance. Although the underlying sampling is usually conceived with a focus on specific species, efficient designs can also collect data on secondary species. We present a framework to explore and evaluate the adequacy of alternative sampling designs for fishery research surveys aiming to maximize accuracy estimates of the secondary species abundance while maintaining the quality of the abundance estimates of primary species. A geostatistical model-based approach was developed considering the semi-continuous nature of the data and the excess of zero values commonly observed for secondary species. New sampling designs were defined according to optimization weights and evaluated based on the resulting prediction exactness. The framework was applied to the bottom trawl survey conducted along the Portuguese continental coast with European hake, Merluccius merluccius, as the primary species and thornback ray, Raja clavata, as the secondary species. The sampling design URSI provided the best balance between the accuracy for both primary and secondary species. The methodology can be replicated for other bottom trawl research surveys and an extended set of species. We recommend that a decision on which sampling design to adopt in future surveys should consider a cost-efficiency analysis.

Funder

Portuguese Foundation for Science and Technology

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

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