ArticleProceedings. Biological sciences2011
The shape of the spatial kernel and its implications for biological invasions in patchy environments.
Article in Proceedings. Biological sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- The Shapes of Clines and Wavefronts.Molecular ecology · 2025Review
- Bayesian inference for spatio-temporal stochastic transmission of plant disease in the presence of roguing: A case study to characterise the dispersal of Flavescence dorée.PLoS computational biology · 2023Article
- Dispersal Kernel Type Highly Influences Projected Relationships for Plant Disease Epidemic Severity When Outbreak and At-Risk Populations Differ in Susceptibility.Life (Basel, Switzerland) · 2022Article
- Delays in Epidemic Outbreak Control Cost Disproportionately Large Treatment Footprints to Offset.Pathogens (Basel, Switzerland) · 2022Article
- Bayesian nonparametric inference for heterogeneously mixing infectious disease models.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Spatial-temporal dynamics of a microbial cooperative behavior resistant to cheating.Nature communications · 2022Article
- Realistic assumptions about spatial locations and clustering of premises matter for models of foot-and-mouth disease spread in the United States.PLoS computational biology · 2020Article
- A distance-performance trade-off in the phenotypic basis of dispersal.Ecology and evolution · 2019Article
- Need for speed: An optimized gridding approach for spatially explicit disease simulations.PLoS computational biology · 2018Article
- Do an invasive organism's dispersal characteristics affect how we should search for it?Royal Society open science · 2018Article
- Associations between pneumonia and residential distance to livestock farms over a five-year period in a large population-based study.PloS one · 2018Article
- Increased risk of pneumonia in residents living near poultry farms: does the upper respiratory tract microbiota play a role?Pneumonia (Nathan Qld.) · 2017Article
- Spatiotemporal Variation in Distance Dependent Animal Movement Contacts: One Size Doesn't Fit All.PloS one · 2016Article
- Identifying the time scale of synchronous movement: a study on tropical snakes.Movement ecology · 2015Article
- Socio-economic factors of bacillary dysentery based on spatial correlation analysis in Guangxi Province, China.PloS one · 2014Article
- The ecological basis of morphogenesis: branching patterns in swarming colonies of bacteria.New journal of physics · 2014Article
- Rapid shifts in dispersal behavior on an expanding range edge.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Spatio-temporal environmental correlation and population variability in simple metacommunities.PloS one · 2013Article
- A bayesian approach for modeling cattle movements in the United States: scaling up a partially observed network.PloS one · 2013Article
- Influence on disease spread dynamics of herd characteristics in a structured livestock industry.Journal of the Royal Society, Interface · 2012Article
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3 authors.
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Abstract
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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