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A. Townsend Peterson
Researcher at University of Kansas
Publications - 547
Citations - 58980
A. Townsend Peterson is an academic researcher from University of Kansas. The author has contributed to research in topics: Environmental niche modelling & Ecological niche. The author has an hindex of 91, co-authored 521 publications receiving 51524 citations. Previous affiliations of A. Townsend Peterson include California Academy of Sciences & University of Chicago.
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Climate change influences on the potential geographic distribution of the disease vector tick Ixodes ricinus
TL;DR: The results indicate that I. ricinus populations could emerge in areas in which they are currently lacking, posing increased risks to human health in those areas, as well as indicating how climate change will influence the geographic distribution of this important tick vector in coming decades.
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Integrating phylogenetic and taxonomic evidence illuminates complex biogeographic patterns along Huxley’s modification of Wallace’s Line
Jacob A. Esselstyn,Carl H. Oliveros,Robert G. Moyle,A. Townsend Peterson,Jimmy A. McGuire,Rafe M. Brown +5 more
TL;DR: Evaluated taxonomic and phylogenetic data are evaluated in an attempt to identify the origin(s) of Palawan’s terrestrial vertebrate fauna.
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Atlas of Mexican Triatominae (Reduviidae: Hemiptera) and vector transmission of Chagas disease
Janine M. Ramsey,A. Townsend Peterson,Oscar Carmona-Castro,David A. Moo-Llanes,Yoshinori Nakazawa,Morgan Butrick,Ezequiel Tun-Ku,Keynes de la Cruz-Félix,Carlos N. Ibarra-Cerdeña +8 more
TL;DR: A state-of-knowledge atlas of Mexican triatomines is produced and their geographic associations with T. cruzi, human demographics and landscape modification are analyzed, showing high tolerance to human-modified habitats and broadened historical ranges.
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Prediction of bird community composition based on point‐occurrence data and inferential algorithms: a valuable tool in biodiversity assessments
TL;DR: This article developed distributional predictions for 89 species occurring in dry tropical forest in the Balsas Basin of south-western Mexico using an interpolation technique, and predicted the species likely to occur at 8 sites across the region.
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Predicting invasions of North American basses in Japan using native range data and a genetic algorithm
Kei'ichiro Iguchi,Keiichi Matsuura,Kristina M. McNyset,A. Townsend Peterson,Ricardo Scachetti-Pereira,Katherine A. Powers,David Vieglais,Edward O. Wiley,Taiga Yodo +8 more
TL;DR: The technique of ecological niche modeling using the genetic algorithm for rule-set prediction (GARP) to predict the potential distributions of these two species in Japan, finding that the predictions were statistically significant for both species.