Climate change and biotic invasions: a case history of a tropical woody vine

By Darren J. Kriticos, R. Sutherst, Joel R. Brown, Steve W. Adkins, G. Maywald. Biological Invasions, 2003

102 citations recorded by the source corpus.

Subfields: Ecological Modeling, Insect Science, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/23aa339abcca5ed791dbba169e5f51a5b5c64611

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

1. Darren J. Kriticos
2. Jane Elith

In Insect Science

1. Runzhi Zhang
2. Yanping Wang
3. J. Crooks
4. G. Watson
5. N. L. Ward

In Nature and Landscape Conservation

1. Runzhi Zhang
2. Craig B. Phillips
3. Yanping Wang
4. Darren J. Kriticos
5. J. Crooks
6. G. Watson
7. N. L. Ward
8. G. Masters

Citations in the corpus

• Linking climate change and species invasion: an illustration using insect herbivores (2007, background): “Although, research on climate change and introduced plant species is relatively well established (e.g. Smith et al., 2000; Dukes, 2002; Kriticos et al., 2003), far less is known for nonnative insects despite their economic, social and environmental importance.”
• The potential global distribution of the brown marmorated stink bug, Halyomorpha halys, a critical threat to plant biosecurity (2017, background): “…used to model the potential distribution of many invasive arthropod pests (De Villiers et al. 2016; Kriticos et al. 2015b; Vink et al. 2011; Yonow et al. 2016), weeds (Julien et al. 1995; Kriticos and Brunel 2016; Kriticos et al. 2003) and plant diseases (Watt et al. 2011; Yonow et al. 2004, 2013).”
• Lag times and exotic species: The ecology and management of biological invasions in slow-motion (2005, background): “A paradox arises, however, in that the best chances for success occur when we know the least about a particular invader (Kriticos et al., 2003), although continued work on invasions should serve to generate important guiding principles.”
• The potential distribution of an invasive mealybug Phenacoccus solenopsis and its threat to cotton in Asia (2010, methodology): “…data from the laboratory can be used to parameterize the CLIMEX model, it is considered preferable to use geographical distribution because laboratory data do not reflect the more complex outdoor environment (Vera et al., 2002; Kriticos et al., 2003a, b; Sutherst, 2003; Ulrichs & Hopper, 2008).”