Pest Risk Maps for Invasive Alien Species: A Roadmap for Improvement
By R. Venette, Darren J. Kriticos, R. Magarey, F. Koch, R. Baker, Susan P. Worner, N. N. G. Raboteaux, Daniel W. McKenney, E. J. Dobesberger, D. Yemshanov and 5 more. 2010
322 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/3973cc3c86df75c7382617cbecc1eff9796123ea
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
- D. Richardson
- Petr Pyšek
- Jane Elith
- V. Jarošı́k
- John R. U. Wilson
- R. Epanchin‐Niell
- P. Hulme
- B. L. Webber
In Ecology, Evolution, Behavior and Systematics
- Petr Pyšek
- D. Richardson
- V. Jarošı́k
- P. Hulme
- John R. U. Wilson
- L. Foxcroft
- Andrew M. Liebhold
- Jane Elith
In Nature and Landscape Conservation
- Petr Pyšek
- D. Richardson
- V. Jarošı́k
- John R. U. Wilson
- P. Hulme
- Jane Elith
- L. Foxcroft
- R. Epanchin‐Niell
Citations in the corpus
- Modelling the impacts of pests and diseases on agricultural systems (2017, background): “…for host plant resistance in future climate scenarios (e.g., Duveiller et al., 2012), policy-making and priority-setting for research (e.g., Willocquet et al., 2004), applications for risk analysis of alien invasive species (Venette et al., 2010), and for resource allocation (Beddow et al., 2015).”
- Forecasting Environmental Hazards and the Application of Risk Maps to Predator Attacks on Livestock (2011, background): “Predators play essential roles in ecosystems by exerting direct and indirect control of the numbers of herbivores and smaller predators, which in turn influence vast food webs (Estes et al. 1998, Terborgh et al. 2001, Smith et al. 2003, Ripple and Beschta 2004, Berger J 2007, Wallach et al. 2010).”
- Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models (2014, background): “Of great concern for correlative SDMs is that modellers and end-users of the projections are particularly interested in the ecological implications of the novel component of model projections (van Klinken et al., 2009; Venette et al., 2010; Webber et al., 2012).”
- Benefits of invasion prevention: Effect of time lags, spread rates, and damage persistence (2015, background): “…alsomaydiffer across potential introduction locationsdependent on the distribution of at-risk resources (Epanchin-Niell et al., 2014), and risk mapping approaches (Venette et al, 2010) may facilitate accounting for the differential timing of damages across introduction locations in risk analyses.”
- A highly aggregated geographical distribution of forest pest invasions in the USA (2013, background): “…with habitat characteristics such as climate or host presence that affect the ability of invaders to establish (e.g. Whittier et al., 2008; Venette et al., 2010) or characteristics that affect propagule pressure, such as rates of cargo transport or ballast water discharge (e.g. Drake &…”
- Hitting the right target: taxonomic challenges for, and of, plant invasions (2013, background): “2012), coupled with geographic and temporal variation in the nomenclature applied to a particularorganism (Graham et al. 2004; Venette et al. 2010; Santos and Branco 2012).”
- Impacts of climate change on plant diseases—opinions and trends (2012, background): “Even if developing landscape-scale experiments remains a challenge (even more so when considering climate change), such an approach is essential to validate models and risk analysis (Körner 2003; Petter et al. 2010; Venette et al. 2010).”
- Predicting distributions of invasive species (2013, background): “Further research – focusing on how to make practically useful evaluations of uncertainty – will progress informed use of predictions (Venette et al., 2010).”