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  • 1.
    Ebenman, Bo
    et al.
    Department of Biology, Linköping University, Linköping, Sweden.
    Johansson, Annie
    Department of Biology, Linköping University, Linköping, Sweden.
    Jonsson, Tomas
    Department of Biology, Linköping University, Linköping, Sweden.
    Wennergren, Uno
    Department of Biology, Linköping University, Linköping, Sweden.
    Evolution of stable population dynamics through natural selection1996In: Proceedings of the Royal Society of London. Biological Sciences, ISSN 0962-8452, E-ISSN 1471-2954, Vol. 263, no 1374, p. 1145-1151Article in journal (Refereed)
  • 2.
    Gagic, Vesna
    et al.
    Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
    Bartomeus, Ignasio
    Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden / Departamento de Ecología Integrativa, Estación Biológica de Doñana (EBD-CSIC), Sevilla, Spain.
    Jonsson, Tomas
    Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
    Taylor, Astrid
    Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
    Winqvist, Camilla
    Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
    Fischer, Christina
    Department of Ecology and Ecosystem Management, Technische Universität München, Restoration Ecology, Germany.
    Slade, Eleanor M.
    Department of Zoology, University of Oxford, Oxford, UK.
    Steffan-Dewenter, Ingolf
    Department of Animal Ecology and Tropical Biology, Biocentre, University of Würzburg, Würzburg, Germany.
    Emmerson, Mark
    School of Biological Sciences, Queen's University Belfast, Medical Biology Centre, Belfast, UK.
    Potts, Simon G.
    School of Agriculture, Policy and Development, Reading University, Reading, UK.
    Tscharntke, Teja
    Department of Agroecology, University of Göttingen, Göttingen, Germany.
    Weisser, Wolfgang
    Terrestrial Ecology Research Group, Department of Ecology and Ecosystem Management, Center for Food and Life Sciences Weihenstephan, Technische Universität München, Freising, Germany.
    Bommarco, Riccardo
    Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
    Functional identity and diversity of animals predict ecosystem functioning better than species-based indices2015In: Proceedings of the Royal Society of London. Biological Sciences, ISSN 0962-8452, E-ISSN 1471-2954, Vol. 282, no 1801, article id UNSP 20142620Article in journal (Refereed)
  • 3.
    Lindström, Tom
    et al.
    IFM Theory and Modelling, Linköping University, 581 83 Linköping, Sweden.
    Håkansson, Nina
    University of Skövde, The Systems Biology Research Centre. University of Skövde, School of Life Sciences.
    Wennergren, Uno
    IFM Theory and Modelling, Linköping University, 581 83 Linköping, Sweden.
    The shape of the spatial kernel and its implications for biological invasions in patchy environments2011In: Proceedings of the Royal Society of London. Biological Sciences, ISSN 0962-8452, E-ISSN 1471-2954, Vol. 278, no 1711, p. 1564-1571Article in journal (Refereed)
    Abstract [en]

    Ecological and epidemiological invasions occur in a spatial context. We investigated how these processes correlate to the distance dependence of spread or dispersal between spatial entities such as habitat patches or epidemiological units. Distance dependence is described by a spatial kernel, characterized by its shape (kurtosis) and width (variance). We also developed a novel method to analyse and generate point-pattern landscapes based on spectral representation. This involves two measures: continuity, which is related to autocorrelation and contrast, which refers to variation in patch density. We also analysed some empirical data where our results are expected to have implications, namely distributions of trees (Quercus and Ulmus) and farms in Sweden. Through a simulation study, we found that kernel shape was not important for predicting the invasion speed in randomly distributed patches. However, the shape may be essential when the distribution of patches deviates from randomness, particularly when the contrast is high. We conclude that the speed of invasions depends on the spatial context and the effect of the spatial kernel is intertwined with the spatial structure. This implies substantial demands on the empirical data, because it requires knowledge of shape and width of the spatial kernel, and spatial structure.

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