Integrating species distribution models and interacting particle systems to predict the spread of an invasive alien plant

By M. Smolik, S. Dullinger, F. Essl, I. Kleinbauer, Michael Leitner, Johannes Peterseil, L. Stadler, Gero Vogl. 2010

126 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/0b335bdf4b8cc42dcd44eb673567867ccfa3e6b5

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasion (2012, methodology): “Integrative modelling approaches have also been suggested as a strategy to deal with non-equilibrium in invasive species, including methods that couple SDMs with dispersal, population and landscape dynamics (Keith et al., 2008; Franklin, 2010; Smolik et al., 2010).”
The crucial role of the accessible area in ecological niche modeling and species distribution modeling (2011, background): “The region M depends on opportunities for and constraints n movements of the species, factors not often included in modelng efforts, although some exceptions exist (Kot et al., 1996; Engler nd Guisan, 2009; Cabral and Schurr, 2010; Smolik et al., 2010).”
Predicting potential distributions of invasive species: where to go from here? (2010, methodology): “…with a spatially explicit applied mechanistic model such as spread, metapopulation or landscape models (Albert et al., 2008; Keith et al., 2008; Anderson et al., 2009; Brook et al., 2009; Dullinger et al., 2009; Jacobs & MacIsaac, 2009; Roura-Pascual et al., 2009a; Smolik et al., 2009; Table 1).”
Variation in niche and distribution model performance: The need for a priori assessment of key causal factors (2012, unknown): “Very recent processoriented methods are beginning to take into account dispersal and movements (Cabral and Schurr, 2010; Smolik et al., 2010; Barve et al., 2011), but this gap is a limitation for the set of methods most commonly used: it is simply impossible to inform them directly about M, which is”
Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities (2011, methodology): “A wide variety of SDM methods have now been developed, including correlative (Guisan & Zimmermann, 2000; Pearson & Dawson, 2003), coupled correlative and processbased models (i.e. ‘hybrid’; Smolik et al., 2010) and mechanistic approaches (Kearney & Porter, 2009).”
The art of modelling range‐shifting species (2010, unknown): “Other methods have been suggested for dealing with nonequilibrium records for invasive species, including some that include dynamics of dispersal and other population processes (Hooten et al. 2007; Prasad et al. 2010; Smolik et al. 2010).”
Conservation biogeography – foundations, concepts and challenges (2010, background): “Third, and intimately linked to our understanding of current distributions, we also need to deploy similar sensitivity analyses to a wide range of issues in modelling future processes and patterns of diversity change (e.g. Veloz, 2009; Willems & Hill, 2009; Feeley & Silman, 2010; Roura-Pascual et al”
Biological Flora of the British Isles: Ambrosia artemisiifolia (2015, background): “Only regional-scale models operating in well-mapped countries have been able to fit spread dynamics to time series of A. artemisiifolia’s distribution (Smolik et al. 2010; Richter et al. 2013a,b).”
The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling (2012, background): “Some examples of these include combining SDMs with dispersal models (e.g. Engler & Guisan, 2009; Smolik et al., 2010), accounting for population dynamics, life-history traits and dispersal (e.”