FN Archimer Export Format PT C TI Relationships between population spatial occupation and population dynamics BT AF WOILLEZ, Mathieu PETITGAS, Pierre RIVOIRARD, Jacques FERNANDES, Paul HOFTSTEDE, Remment Ter KORSBREKKE, Knut ORLOWSKI, Andrzej SPEDICATO, Maria-Teresa POLITOU, Chrissi-Yianna AS 1:1;2:2;3:1;4:3;5:4;6:5;7:6;8:7;9:8; FF 1:;2:PDG-RBE-EMH;3:;4:;5:;6:;7:;8:;9:; C1 Centre de Géostatistique de l'Ecole des Mines de Paris, 35 rue St Honoré, 77300 Fontainebleau, France IFREMER, Laboratoire d’Ecologie Halieutique, rue de l’île d’Yeu, BP21105, F-44311 cedex 03, Nantes, France FRS Marine Laboratory, PO Box 101, 375 Victoria Road, Aberdeen, AB11 9DB, UK RIVO, PO Box 68, Haringkade 1, 1970 AB, Ijmuiden, The Netherlands IMR, PO Box 1870, Nordnesgaten 50, 5817, Bergen, Norway Sea Fisheries Institute, PO Box 345, Kollataja 1, 81-332 Gdynia, Poland COISPA, Via dei Trulli n°18-20, 70045 Bari, Italia Hellenic Centre for Marine Research, Agios Kosmas, 16604 Athens, Greece C2 ECOLE MINES PARIS, FRANCE IFREMER, FRANCE FRS MARINE LABORATORY, UK RIVO, THE NETHERLANDS IMR, NORWAY SEA FISHERIES INSTITUTE, POLAND COISPA, ITALIA HELLEN CTR MARINE RES, GREECE SI NANTES SE PDG-RBE-EMH UR https://archimer.ifremer.fr/doc/00133/24376/22388.pdf LA English DT Proceedings paper CR MEDITS / FR MEDITS 2004 MEDITS 2005 MEDITS 2006 MEDITS FR MEDITS FR MEDITS-FR2000 MEDITS-FR2001 MEDITS-FR2002 MEDITS-FR2003 MEDITS-FR97 MEDITS-FR98 MEDITS-FR99 BO L'Europe DE ;spatial indices;population dynamics, meta-analysis. AB Population dynamics is commonly described non-spatially using parameters of population demography and vital traits. Population spatial organisation is therefore considered implicit and its importance in the population dynamics ignored. The present study evidences on a variety of stocks correlation between population spatial distribution indices, population abundance, recruitment and mortality. Series of research fisheries monitoring surveys were considered for a range of different stocks (cod, herring, anchovy, hake, mullet) in different regions of the North East Atlantic and Mediterranean (North Sea, Barents Sea, Baltic Sea, Bay of Biscay, Tyrrhenian Sea, Ionian Sea and Aegean Sea). For each population, each age and each year, 9 spatial indices were computed that characterised the spatial distribution in their centre of gravity, inertia, anisotropy, extension areas, number of patches and microscale structure. For each population and age, spatial indices were linearly regressed on the abundance, on the following recruitment, and on the mortality residuals (as a constant mortality has been fitted on cohort curves). A metaanalysis table was constructed that showed the number of times that correlations were significant. The result is that spatial indices provide additional indicators for assessing population status and could be helpful in the context of stock decline and habitat loss. PY 2006 CT CM 2006/O:05 ID 24376 ER EF