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The extended Moran effect and large-scale synchronous fluctuations in the size of great tit and blue tit populations
Authors:Saether Bernt-Erik  Engen Steinar  Grøtan Vidar  Fiedler Wolfgang  Matthysen Erik  Visser Marcel E  Wright Jonathan  Møller Anders Pape  Adriaensen Frank  van Balen Hans  Balmer Dawn  Mainwaring Mark C  McCleery Robin H  Pampus Miriam  Winkel Wolfgang
Affiliation:Department of Biology, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway;;Department of Mathematical Sciences, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway;;Max Planck Institute for Ornithology, Vogelwarte Radolfzell, Schlossallee 2, D-78315 Radolfzell, Germany;;Laboratory of Animal Ecology, Department of Biology, University of Antwerp, B-2610 Antwerp, Belgium;;Netherlands Institute of Ecology, PO Box 40, NL-6666 ZG Heteren, the Netherlands;;Laboratorie de Parasitologie Evolutive, CNRS UMR 7103, UniversitéPierre et Marie Curie, Bâtiment A, 7ème étage, 7 quai St. Bernard, Case 237, FR-75252 Paris Cedex 05, France;;British Trust for Ornithology, The Nunnery, Thetford, Norfolk IP24 2PU, UK;;Department of Biological Sciences, University of Lancaster, Lancaster LA1 4YQ, UK;;Department of Zoology, University of Oxford, South Parks Road, OX1 3PS Oxford, UK;;Ökologische Forschungsstation Schlüchtern, Schlagweg 19, D-36381 Schlüchtern, Germany;and;Institute of Avian Research 'Vogelwarte Helgoland', Working Group Population Ecology, Bauernstrasse 14, D-38162 Cremlingen, Germany
Abstract:1. Synchronous fluctuations of geographically separated populations are in general explained by the Moran effect, i.e. a common influence on the local population dynamics of environmental variables that are correlated in space. Empirical support for such a Moran effect has been difficult to provide, mainly due to problems separating out effects of local population dynamics, demographic stochasticity and dispersal that also influence the spatial scaling of population processes. Here we generalize the Moran effect by decomposing the spatial autocorrelation function for fluctuations in the size of great tit Parus major and blue tit Cyanistes caeruleus populations into components due to spatial correlations in the environmental noise, local differences in the strength of density regulation and the effects of demographic stochasticity. 2. Differences between localities in the strength of density dependence and nonlinearity in the density regulation had a small effect on population synchrony, whereas demographic stochasticity reduced the effects of the spatial correlation in environmental noise on the spatial correlations in population size by 21.7% and 23.3% in the great tit and blue tit, respectively. 3. Different environmental variables, such as beech mast and climate, induce a common environmental forcing on the dynamics of central European great and blue tit populations. This generates synchronous fluctuations in the size of populations located several hundred kilometres apart. 4. Although these environmental variables were autocorrelated over large areas, their contribution to the spatial synchrony in the population fluctuations differed, dependent on the spatial scaling of their effects on the local population dynamics. We also demonstrate that this effect can lead to the paradoxical result that a common environmental variable can induce spatial desynchronization of the population fluctuations. 5. This demonstrates that a proper understanding of the ecological consequences of environmental changes, especially those that occur simultaneously over large areas, will require information about the spatial scaling of their effects on local population dynamics.
Keywords:blue tit    density dependence    environmental stochasticity    great tit    Moran effect    population synchrony    spatial population dynamics
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