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Constantino González-Salazar

Researcher at National Autonomous University of Mexico

Publications -  35
Citations -  1029

Constantino González-Salazar is an academic researcher from National Autonomous University of Mexico. The author has contributed to research in topics: Biology & Environmental niche modelling. The author has an hindex of 14, co-authored 29 publications receiving 825 citations. Previous affiliations of Constantino González-Salazar include Comisión Nacional para el Conocimiento y Uso de la Biodiversidad & Universidad Autónoma Metropolitana.

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Climate change and risk of leishmaniasis in north america: predictions from ecological niche models of vector and reservoir species.

TL;DR: It is predicted that climate change will exacerbate the ecological risk of human exposure to leishmaniasis in areas outside its present range in the United States and, possibly, in parts of southern Canada.
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Reconstructing the Pleistocene geography of the Aphelocoma jays (Corvidae)

TL;DR: In this paper, a technique based on models of species' ecological niches and Pleistocene climate reconstructions is presented to reconstruct the Aphelocoma jays' distributional areas back through at least the most recent glaciation event.
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Using biotic interaction networks for prediction in biodiversity and emerging diseases.

TL;DR: This data mining methodology allows for the use of geographic data to construct inferential biotic interaction networks which can be used to build prediction models with a wide range of applications in ecology, biodiversity and emerging diseases.
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Modeled climate change effects on distributions of Canadian butterfly species

TL;DR: This work uses ecological niche modeling and general circulation model outputs to estimate future potential geographic distributions of 111 Canadian butterfly species, finding one interesting feature is the appearance of disjunctions in species' distributions, hence creating "vicariant events" over very short time periods.
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Comparing the relative contributions of biotic and abiotic factors as mediators of species’ distributions

TL;DR: It is shown that including both abiotic and biotic factors not only leads to a fuller more comprehensive understanding of the niche, but also leads to more accurate prediction models.