Consensual predictions of potential distributional areas for invasive species: a case study of Argentine ants in the Iberian Peninsula

By N. Roura‐Pascual, Lluís Brotons, A. Townsend Peterson, Wilfried Thuiller. Biological Invasions, 2009

191 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Genetics

View Paper: https://www.semanticscholar.org/paper/46a321108a2cddf4aebfe233e9a92da4bbb9237b

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Citations in the corpus

Invasive and flexible: niche shift in the drosophilid Zaprionus indianus (Insecta, Diptera) (2010, background): “future distribution of invasive species are often estimated by bioclimatic envelope modeling, also known as ecological niche modeling or species distribution modeling (Peterson and Vieglais 2001; Peterson 2003; Thuiller et al. 2005; Chen et al. 2007; Giovanelli et al. 2008; Roura-Pascual et al. 2009”
The art of modelling range‐shifting species (2010, methodology): “…an ensemble of predictions basedon the standardapplicationof several differentmodelling methods (Thuiller 2004; Araújo & New 2007; Marmion et al. 2008; Roura-Pascual et al. 2009), so that the final prediction emphasizes agreement of predictions, and model-based uncertainty can be quantified.”
Can species distribution modelling provide estimates of population densities? A case study with jaguars in the Neotropics (2012, methodology): “, 2006; Austin, 2007; Elith & Graham, 2009; Elith & Leathwick, 2009), it is recommended to apply more than one of these methods and combine them (Araújo & New, 2007; Diniz-Filho et al., 2009; Marmion et al., 2009; Roura-Pascual et al., 2009) or compare the results, testing their performance to evalu”
Contrasted impacts of climate change on stream fish assemblages along an environmental gradient (2009, methodology): “…al. , 2008) or economics (e.g. Gregory et al. , 2001), these consensus methods and ensemble forecasting approaches have been only recently applied in ecology (Thuiller, 2004; Araujo et al. , 2005, 2006; Araujo & New, 2007; Crossman & Bass, 2008; Roura-Pascual et al. , 2008; Marmion et al. , 2009).”
A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling (2013, methodology): “…MaxEnt as the best method or among the best (Hernandez et al. 2006, Guisan et al. 2007, Sérgio et al. 2007, Wang et al. 2007, Wisz et al. 2008, Roura-Pascual et al. 2009, Tognelli et al. 2009, Václávik & Meentemeyer 2009, Veloz 2009, Williams et al. 2009, Mateo et al. 2010, Rebelo & Jones…”
Defying the curse of ignorance: perspectives in insect macroecology and conservation biogeography (2010, background): “Fitzpatrick et al. (2007) reported that fire ants shifted their range after invading North America, although Peterson and Nakazawa (2008) attributed this to a methodological artefact (but see Fitzpatrick et al. (2008) for a reply, and Roura-Pascal et al. (2009) for an independent analysis).”
Climate change increases the risk of invasion by the Yellow-legged hornet (2013, background): “…niche modelling are widely used even for invasive taxa (Chen et al., 2007; Peterson, 2003; Ficetola et al., 2007; Peterson et al., 2003; Peterson and Vieglais, 2001; Roura-Pascual et al., 2009; Thuiller et al., 2005a) and can be useful for invasion risk assessment (Jiménez-Valverde et al., 2011).”
Predicting potential distributions of invasive species: where to go from here? (2010, methodology): “Screening approaches do not directly account for underlying processes but assume that the influence of local processes can be captured indirectly by analysing patterns at larger spatial scales (Ficetola et al., 2007; Beaumont et al., 2009a; Roura-Pascual et al., 2009b).”
Predicting the invasion risk by the alien bee-hawking Yellow-legged hornet Vespa velutina nigrithorax across Europe and other continents with niche models (2011, background): “Their main general advantage may be the flexibility arising from having both individual and colony responses (Moller, 1996), as is the case in invasive ants (Holway et al., 2002; Roura-Pascual et al., 2009).”
Predicting potential distribution of the jaguar (Panthera onca) in Mexico: identification of priority areas for conservation (2011, methodology): “These differences, although preventing the use of a single method and calling for an EM (Marmion et al., 2008; Roura-Pascual et al., 2008), may indicate regions where the species ecology and distribution are not well understood (Hartley et al., 2006; Roura-Pascual et al., 2008) and where further…”
Selecting predictors to maximize the transferability of species distribution models: lessons from cross‐continental plant invasions (2017, methodology): “Using statistical algorithms to select the most relevant variables is common in ecology (Mac Nally, 2002, Cutler et al., 2007) and can be used in a hierarchical way (e.g. Roura-Pascual et al., 2009).”
Predicting distributions of invasive species (2013, methodology): “Ensembles of correlative methods are favoured by some modellers (e.g. Araujo et al., 2005; Caphina & Anastácio, 2010; Roura-Pascual et al., 2009, Stohlgren et al., 2010; Thuiller, 2003) as a means of dealing with the sometimes extreme variation in predictions across methods.”
Assessing the environmental requirements of invaders using ensembles of distribution models (2011, methodology): “This model is then used to predict environmental suitability values and less often to shed light on the causal drivers of species distributions (e.g. Usio et al., 2006; Ficetola et al., 2009; Roura-Pascual et al., 2009).”