Modelling the potential geographic distribution of invasive ant species in New Zealand

By D. Ward. Biological Invasions, 2007

251 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/b9e2e9312a6d2bc369c5ccca1c6d58fcdd312317

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Citations in the corpus

Invasive weed species’ threats to global biodiversity: Future scenarios of changes in the number of invasive species in a changing climate (2020, background): “Such models (Ward, 2007) can assist land and crop production management by providing a foundation for the allocation of funding towards resources for curtailing costly IWS and other pest invasions, protecting the economic value of a crop, as well as preserving its main purpose as nutrition for human”
Assessing extinction-risk of endangered plants using species distribution models: a case study of habitat depletion caused by the spread of greenhouses (2009, background): “…of endangered species (e.g. Araújo and Williams 2000), to predict spatial patterns of biological invasions (e.g. Thuiller et al. 2005a, b; Ward 2007), to identify locations with high extinction-risk (e.g. Araújo et al. 2002) and to evaluate potential effects of global change in species…”
Knowing the past to predict the future: land‐use change and the distribution of invasive bullfrogs (2010, methodology): “Habitat suitability models are often used for this task, with applications in risk assessment or in control strategies (e.g., Ward, 2007; Evangelista et al., 2008; Nielsen et al., 2008; Ficetola et al., 2009).”
The effects of small sample size and sample bias on threshold selection and accuracy assessment of species distribution models (2012, background): “For example, identifying areas to target for invasive species mitigation (Ward 2007), mapping areas of connectivity (Waltari and Guralnick 2009), and modeling range expansion (De Marco et al. 2008) all require delineating boundaries of species presence and absence from a map of probability.”
A statistical explanation of MaxEnt for ecologists (2011, methodology): “In doing so, we rely strongly on the PhD research of TH’s past student, Gill Ward (Ward, 2007b), and acknowledge her contribution.”
MaxEnt versus MaxLike: empirical comparisons with ant species distributions (2013, background): “However, the performance and relative merits of MaxEnt and MaxLike remain largely untested, especially when modeling species with relatively few occurrence data that encompass only a portion of the geographic range of the species.”
Ecological niche modelling as a technique for assessing threats and setting conservation priorities for Asian slow lorises (Primates: Nycticebus) (2009, result): “As with other studies of this kind (e.g. Raxworthy et al., 2003; Papes & Gaubert, 2007; Pearson et al., 2007; Sergio et al., 2007; Ward, 2007), the resulting MaxEnt predictions demonstrate how ENM uses environmental variables to generate outputs not possible purely from observed localities.”
Impacts of exotic invertebrates on New Zealand's indigenous species and ecosystems (2010, background): “Although it is predicted New Zealand is too cool for many invasive ants to become widespread, species such as red imported fire ant (Solenopsis invicta) have the potential to establish in warmer areas (Harris & Barker 2007, Ward 2007).”
Consensual predictions of potential distributional areas for invasive species: a case study of Argentine ants in the Iberian Peninsula (2009, methodology): “Although they are not considered presence-only methods, these two techniques have been proved to outperform classical presence-only models assessing the distribution of species (Elith et al. 2006; Ward 2007).”
Modelling invasion for a habitat generalist and a specialist plant species (2008, background): “The models tested each have unique analytical approaches that may function better or worse with different species and data sets (Segurando & Araújo, 2004; Pearson et al., 2007; Ward, 2007).”
From introduction to the establishment of alien species: bioclimatic differences between presence and reproduction localities in the slider turtle (2009, background): “Modelling is usually based on distribution within the native range (Roura-Pascual et al ., 2004; Thuiller et al ., 2005; Ficetola et al ., 2007b), on records in the invasive range (Bossenbroek et al ., 2007; Ward, 2007; Nielsen et al ., 2008) or both (Broennimann et al ., 2007).”
Two alternative evaluation metrics to replace the true skill statistic in the assessment of species distribution models (2019, background): “sources versus population sinks (Guisan and Thuiller 2005), or biogeographical processes like invasion source versus colonisation fronts (Ward 2007), particularly when using high confidence absence data.”