PREFERENTIAL – Improving spatial estimation and survey design through preferential sampling in fishery and biological applications
Improving knowledge about biodiversity and species abundance has become a scientific and societal important issue. In Portugal, the spatial distribution and abundance of several commercial fish species, such as black scabbardfish, is mostly unknown, relying mainly on information from commercial fisheries. Commercial fishing takes place where fisherman expect to find the species according to their specific knowledge. Examples of this phenomenon, coined Preferential Sampling (PS), are found in biological and environmental sciences, guided by economic constraints and practical requirements.
This project develops statistical methodology to analyse data observed under PS. The methods are applied to estimating the spatial abundance of commercial species, namely black scabbardfish, using data provided by the Portuguese Institute of Sea and Atmosphere (IPMA). Additionally, survey designs oriented towards the abundance and biomass estimation along Portuguese continental slope will be defined and evaluated.
FCT, Portugal 2020
NOVA.ID.FCT – Universidade Nova de Lisboa
FCIÊNCIAS.ID – Faculdade de Ciências, Universidade de Lisboa
IPMA – Instituto Português do Mar e Atmosfera
Universidade do Porto