Modelling of essential fish habitat based on remote sensing, spatial analysis and GIS

Vasilis D. Valavanis, Graham John Pierce, Alain F Zuur, Andreas Palialexis, Anatoly Saveliev, Isidora Katara, Jianjun Wang

Research output: Contribution to journalLiterature reviewpeer-review

150 Citations (Scopus)


We review the variety of existing modelling approaches applied to species habitat mapping and we discuss issues arising from the availability and nature of sampled biological data and corresponding ecological and environmental habitat descriptors, as well as the different spatial analysis approaches that are selected according to specific hypotheses. We focus on marine species habitat mapping, presenting an overview of work on modelling fish habitat carried out through a European Communities Policy-Support Action, EnviEFH 'Environmental Approach to Essential Fish Habitat (EFH) Designation' (2005-2008). The selection of the appropriate habitat model is dataset-specific and the resulting EFH maps are often similar in spite of using different models. Derived EFH maps are based on either environmental ranges (used as minimum and maximum environmental habitat descriptors) or probability of occurrence values. We apply model outputs to regions larger than sampled areas making use of the capacity of satellite data to cover wide areas.

Original languageEnglish
Pages (from-to)5-20
Number of pages16
Issue number1
Publication statusPublished - Oct 2008


  • marine species
  • statistical modelling
  • fisheries
  • environment
  • ecology
  • adaptive regression splines
  • resource selection functions
  • generalized additive-models
  • artificial neural-networks
  • species distributions
  • climate-change
  • New-Zealand
  • cephalopod fisheries
  • quantile regression
  • empirical-models
  • Marine species
  • Statistical modelling
  • Fisheries
  • Environment
  • Ecology


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