Modelling global insect pest species assemblages to determine risk of invasion

By Susan P. Worner, M. Gevrey. 2006

164 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/24f8cf34fb952faf4990f922fdc6491cb15136ef

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In Ecological Modeling

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Citations in the corpus

Beyond control : wider implications for the management of biological invasions (2006, methodology): “For example, in 2002 the melon thrip Thrips palmi attracted attention as a possible invasive species to New Zealand and significant resources were invested in assessing the risk of establishment, yet the SOM analysis indicated that this species was not strongly associated with the New Zealand assemb”
Does landscape composition affect pest abundance and their control by natural enemies? A review (2013, background): “This corresponds to the main orders of pests (Worner and Gevrey, 2006).”
Machine Learning Methods Without Tears: A Primer for Ecologists (2008, background): “Other applications have occurred in the fields of water resource management (Maier and Dandy 2000), invasive species biology (Vander Zanden et al. 2004), and pest management (Worner and Gevrey 2006).”
The global spread of crop pests and pathogens (2014, methodology): “A related approach is to use co-occurring pests as indicators of environmental suitability, and to predict the potential for establishment from observed pest assemblages in a given region (Worner & Gevrey, 2006; Paini et al., 2010).”
Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation (2009, background): “Reference Region Scope Verification Taxon Data1 Allouche et al. (2006) Israel Methodological Informal validation Plants P Anadón et al. (2007) Spain Species conservation Same data Reptiles P-A Anderson et al. (2002) Ecuador, Colombia, Venezuela Biogeography Partitioning Mammals P Araújo et al. (2005”
Global threat to agriculture from invasive species (2016, methodology): “For establishment likelihood, we analyzed the worldwide distribution of the almost 1,300 insect pests and fungal pathogens (18) using a self-organizing map (SOM), which analyses pest assemblages and pest associations to generate establishment indices for all species, for all countries included in th”