Niche shifts during the global invasion of the Asian tiger mosquito, Aedes albopictus Skuse (Culicidae), revealed by reciprocal distribution models

By K. Medley. 2010

333 citations recorded by the source corpus.

Subfields: Ecological Modeling, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/307cf5ed3d074cb4461985fcd930cc8be3eda7ab

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In Ecological Modeling

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Citations in the corpus

Beyond climate: disturbance niche shifts in invasive species (2015, methodology): “unfilling) suggest the importance of dispersal limitation, lag phases and/or evolutionary bottlenecks associated with introduction processes (Medley, 2010; Guisan et al., 2014).”
The art of modelling range‐shifting species (2010, background): “…provide interesting comparisons of climate spaces (e.g. using principal components analyses and metrics summarizing differences between niches; Thuiller, Lavorel & Araujo 2005a; Broennimann et al. 2007; Warren, Glor & Turelli 2008; Medley 2010) but without mapping results into geographic space.”
A predicted niche shift corresponds with increased thermal resistance in an invasive mite, Halotydeus destructor (2013, background): “…is conserved in space and time (Kolbe © 2013 Blackwell Publishing Ltd DOI: 10.1111/geb.12059 http://wileyonlinelibrary.com/journal/geb 1 et al., 2010; Medley, 2010), and also that the species is in equilibrium with the environment in which it occurs (Guisan & Thuiller, 2005; Gallien et al., 2012).”
Ecological niche conservatism: a time‐structured review of evidence (2011, background): “The mosquito example (Medley, 2010) is almost exactly parallel – niche models developed in a highly dimensional environmental space led to conclusions of niche shift, in this case in spite of a detailed previous analysis that showed clear niche conservatism (Benedict et al.”
Climate change increases the risk of invasion by the Yellow-legged hornet (2013, positive): “Climatic variables are probably the main contributors to species niche delimitation at large scale (Luoto et al., 2007) and these variables have previously been used for insect niche modelling (Medley, 2010).”
Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India (2014, methodology): “We did not use centroids of districts as surrogates of species occurrence points as some authors have done (e.g., Asian tiger mosquito, Aedes albopictus (Benedict et al., 2007; Medley, 2010).”
Measuring ecological niche overlap from occurrence and spatial environmental data (2012, background): “, 2010), as well as to compare subspecies or distinct populations of the same species that differ in their geographical distributions and which are therefore likely to experience different climatic conditions (e.g. Broennimann et al., 2007; Fitzpatrick et al., 2007; Steiner et al., 2008; Medley, 201”
Use of niche models in invasive species risk assessments (2011, background): “…niche representations can be obtained from spatial or temporal data slices (Mau-Crimmins et al. 2006; Broennimann et al. 2007; Varela et al. 2009; Medley 2010), or that the phenotypic plasticity of the species is greater than what may be appreciated from realized distributions (Orr and Smith…”
Species distribution models of the Spotted Wing Drosophila ( Drosophila suzukii , Diptera: Drosophilidae) in its native and invasive range reveal an ecological niche shift (2018, background): “…as compared to their native distribution range due to differences in locally limiting ecological factors (Chapman, Scalone, Štefanić, & Bullock, 2017; González- Moreno, Diez, Richardson, & Vilà, 2015; Guisan, Petitpierre, Broennimann, Daehler, & Kueffer, 2014; Medley, 2010; Rödder & Lötters, 2009).”
ecospat: an R package to support spatial analyses and modeling of species niches and distributions (2017, methodology): “Pre-modeling (or pre-processing) analyses are usually based on the observational data themselves, and include niche quantification (Fitzpatrick et al. 2007, Medley 2010), co-occurrence (Gotelli 2000), or phylogenetic diversity (Schweiger et al. 2008, Morlon et al. 2011) analyses.”