Geostatistics for Estimating Fish Abundance
September 2000, Wiley-Blackwell
Geostatistics for Estimating Fish Abundance will be of vital interest to fisheries research scientists, marine biologists, oceanographers, marine and fish ecologists, environmental scientists and experts involved in the assessment of natural animal resources.
The book has been developed as a result of studies carried out by a collaborative team of international researchers expert in this area with financial support from the Commission of the European Communities, AIR specific RTD programme.
J. Rivoirard and N. Bez are at the Centre de Géostatistique de Fontainebleau, Ecole des Mines de Paris, France, J. Simmonds and P. Fernandes are at the FRS Marine Laboratory, Aberdeen, UK and K. Foote is at the Institute of Marine Research, Bergen, Norway and at Woods Hole Oceanographic Institution, USA.
2. Data Collection and Preparation.
2.1 Survey Design.
2.2 Measurement of Fish Density.
2.3 Preparation of Data for Analysis.
3 Geostatistical Methods.
3.1 Introduction: Basic Hypotheses.
3.2 Structural Analysis.
3.3 Global Abundance, Variance and Mapping.
4. Case Studies.
4.1 Herring in a Fjord System: Acoustic Survey.
4.2 Young fish Surveys.
4.3 North Sea Herring Acoustic Surveys.
4.4 North Sea Herring Acoustic Survey Trawl Data.
4.5 Code in the Barents Sea in Autumn: Trawl Survey.
4.6 Blue Whiting on the Continental Shelf Slop in Spring: Acoustic Survey.
5. Simulations Studies.
5.1 Robustness of Variography.
5.2 An Investigation into the Effect of Fish Movement on Abundance, Variography and Variance Derived from Surveys.
5.3 Comparison of Some Survey Designs.
6. Recommendations and Guidelines.
6.1 Recommendations on Survey Design.
6.2 Scope of Geostatistical Techniques.
Appendix A Brief Guide to Literature.
Appendix B Review of Geostatistical Computer Survey.
* includes case studies on 8 commercially important fish species
* the result of international collaboration on a new method to accurately measure fish stocks worldwide
* of vital interest to all fisheries scientists, as a new tool to provide critical analysis of Fisheries data.