Modelling non-equilibrium distributions of invasive species: a tale of two modelling paradigms
By R. Sutherst, A. Bourne. Biological Invasions, 2009
138 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Parasitology
View Paper: https://www.semanticscholar.org/paper/3c425b2b5dac0122ca07fb590c3299133195e0a8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- Jorge M. Lobo
- Jane Elith
- A. Jiménez‐Valverde
- A. Townsend Peterson
- Jorge Soberón
- Ross K. Meentemeyer
- Tomás Václavík
- Joaquín Hortal
In Ecology
- Jorge M. Lobo
- A. Jiménez‐Valverde
- Jane Elith
- Jorge Soberón
- Tomás Václavík
- A. Townsend Peterson
- Ross K. Meentemeyer
- Joaquín Hortal
In Parasitology
- A. Jiménez‐Valverde
- Jorge M. Lobo
- Beatriz Vanessa Herrera Campo
- A. Townsend Peterson
- B. L. Webber
- Tomás Václavík
- Ross K. Meentemeyer
- A. Bellotti
Citations in the corpus
- The potential global distribution of the brown marmorated stink bug, Halyomorpha halys, a critical threat to plant biosecurity (2017, background): “These projects employed correlative species distribution models, which have been shown to be unreliable when applied to novel environments such as those encountered when species invade new continents or regions (Kriticos and Randall 2001; Sutherst and Bourne 2009; Webber et al. 2011).”
- Threats to cassava production: known and potential geographic distribution of four key biotic constraints (2011, methodology): “Several approximations for predicting distributions or determining suitability of habitat have been used (Busby 1991; Elith et al. 2006; Drake et al. 2006; Phillips et al. 2006; Benito de Pando and Peñas de Giles 2007; OrtegaHuerta and Peterson 2008; Sutherst and Bourne 2009).”
- Use of niche models in invasive species risk assessments (2011, background): “Although recent tendencies in niche modelling have been towards more complex modelling approaches (Elith et al. 2006), relatively simple techniques can be most adequate to estimate the geographic representation of the fundamental niche (see Sutherst and Bourne 2009).”
- Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasion (2012, background): “…is successfully captured (Pearson et al., 2006) and as such the use of profile techniques that enforce smooth responses has been advocated to estimate species potential ranges in new environments and future climates (Sutherst & Bourne, 2009; Elith et al., 2010; Jimenez-Valverde et al., in press).”
- Pest Risk Maps for Invasive Alien Species: A Roadmap for Improvement (2010, background): “As a final assessment step, pest risk maps should be compared, at least qualitatively, to other pest risk maps developed for the same species (e.g., Sutherst and Bourne 2009).”
- Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions? (2009, background): “…wide, including projections of geographical distribution of species under climate change (Berry et al., 2002; Thomas et al., 2004; Pearson, 2006; Engler et al., 2009) or under standing the behavior of invaders in novel landscapes (Peterson, 2003; Peterson et al., 2003; Sutherst and Bourne, 2009).”
- Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models (2011, methodology): “Our study is not the first to describe differences among models in the limits to species distributions (Pearson et al., 2006; Elith & Graham, 2009) or to highlight the problems with using correlative bioclimatic models for extrapolation (e.g. Hirzel & Le Lay, 2008; Sutherst & Bourne, 2009).”
- Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models (2014, background): “…Araujo & Peterson, 2012), there are several difficulties and limitations, both methodological and conceptual, with which users need to be familiar (Venette et al., 2010), but that remain frequently overlooked by both modellers and endusers alike (Sutherst & Bourne, 2009; Kriticos et al., 2013).”