DBPapers
DOI: 10.5593/SGEM2016/B32/S15.093

BLACK SEA SPRAT CASE STUDY IN THE FRAME OF THE GOFORIT PROJECT - “INTELLIGENT OCEANOGRAPHICALLY-BASED SHORT-TERM FISHERY FORECASTING APPLICATIONS”

M.I. Nenciu, A. Totoiu, M. Galatchi, C. Danilov, G. Radu
Wednesday 7 September 2016 by Libadmin2016

References: 16th International Multidisciplinary Scientific GeoConference SGEM 2016, www.sgem.org, SGEM2016 Conference Proceedings, ISBN 978-619-7105-62-9 / ISSN 1314-2704, June 28 - July 6, 2016, Book3 Vol. 2, 711-718 pp

ABSTRACT
GOFORIT (IntelliGent Oceanographically‐based short‐term fishery FORecastIng applicaTions) is a new project supported by the ERA-NET COFASP and national funding agencies of Denmark, Iceland, Romania and Turkey. The project is coordinated by DTU Aqua (National Institute of Aquatic Resources - Technical University of Denmark), and the other partners are: CFRI Trabzon (Central Fisheries Research Institute, Trabzon, Turkey), IMS METU (Institute of Marine Sciences - Middle East Technical University, Erdemli-Mersin, Turkey), MRI Iceland (Marine Research Institute, Reykjavik, Iceland) and NIMRD “Grigore Antipa” (National Institute for Marine Research and Development “Grigore Antipa”, Constanta, Romania. The main objective of GOFORIT is to identify the links between the ecology of short-lived fish species and climate and oceanographic conditions at time scales relevant to annual stock assessment and advisory cycles, and use this new knowledge in forecasts. All methods will be standardized as much as possible to ease comparison and learning across species/institutes/case studies (North Sea sandeel, Icelandic capelin, Black Sea anchovy & Black Sea sprat).

Keywords: Black Sea sprat, ecosystem modeling, climate, zooplankton, interactions