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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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Ecologic niche modeling and differentiation of populations of Triatoma brasiliensis neiva, 1911, the most important Chagas' disease vector in northeastern Brazil (hemiptera, reduviidae, triatominae).

TL;DR: This tool was used to characterize ecologic differentiation of Triatoma brasiliensis populations, the most important Chagas' disease vector in northeastern Brazil, and confirmed four ecologically distinct and differentiated populations.
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Human ecological niches and ranges during the LGM in Europe derived from an application of eco-cultural niche modeling

TL;DR: Eco-cultural niche modeling is applied to identify habitable portions of the European territory for Upper Paleolithic hunter-gatherers during the Last Glacial Maximum (LGM), circumscribe potential geographic extents of the Solutrean and Epigravettian technocomplexes, evaluate environmental and adaptive factors that influenced their distributions, and discuss this method's potential to illuminate past human-environment interaction.
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Current and Future Distribution of the Lone Star Tick, Amblyomma americanum (L.) (Acari: Ixodidae) in North America.

TL;DR: Evaluated the potential geographic extent under present and future conditions using ecological niche modeling approach based on museum records available for this species at the Walter Reed Biosystematics Unit indicated that lone star ticks are currently likely to be present in broader regions across the Eastern Seaboard as well as in the Upper Midwest.

Predicting species invasions using ecological niche modeling

TL;DR: This paper presents a meta-analyses of the determinants of infectious disease in eight operation theatres of the immune system and shows clear patterns of infection that are consistent with the presence of E.coli.