Relationships between population spatial occupation and population dynamics

Type Proceedings paper
Date 2006
Language English
Author(s) Woillez MathieuORCID1, Petitgas Pierre2, Rivoirard Jacques1, Fernandes Paul3, Hoftstede Remment Ter4, Korsbrekke Knut5, Orlowski Andrzej6, Spedicato Maria-Teresa7, Politou Chrissi-Yianna8
Affiliation(s) 1 : Centre de Géostatistique de l'Ecole des Mines de Paris, 35 rue St Honoré, 77300 Fontainebleau, France
2 : IFREMER, Laboratoire d’Ecologie Halieutique, rue de l’île d’Yeu, BP21105, F-44311 cedex 03, Nantes, France
3 : FRS Marine Laboratory, PO Box 101, 375 Victoria Road, Aberdeen, AB11 9DB, UK
4 : RIVO, PO Box 68, Haringkade 1, 1970 AB, Ijmuiden, The Netherlands
5 : IMR, PO Box 1870, Nordnesgaten 50, 5817, Bergen, Norway
6 : Sea Fisheries Institute, PO Box 345, Kollataja 1, 81-332 Gdynia, Poland
7 : COISPA, Via dei Trulli n°18-20, 70045 Bari, Italia
8 : Hellenic Centre for Marine Research, Agios Kosmas, 16604 Athens, Greece
Meeting ICES Annual Science Conference 2006
Source CM 2006/O:05
Keyword(s) spatial indices, population dynamics, meta-analysis.
Abstract 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.
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Woillez Mathieu, Petitgas Pierre, Rivoirard Jacques, Fernandes Paul, Hoftstede Remment Ter, Korsbrekke Knut, Orlowski Andrzej, Spedicato Maria-Teresa, Politou Chrissi-Yianna (2006). Relationships between population spatial occupation and population dynamics. CM 2006/O:05.