6 results match your criteria: "Rockefeller and Columbia Universities[Affiliation]"
PLoS Negl Trop Dis
December 2017
Laboratory of Populations, Rockefeller and Columbia Universities, New York, New York, United States of America.
Human sleeping quarters (domiciles) and chicken coops are key source habitats of Triatoma infestans-the principal vector of the infection that causes Chagas disease-in rural communities in northern Argentina. Here we investigated the links among individual bug bloodmeal contents (BMC, mg), female fecundity, body length (L, mm), host blood sources and habitats. We tested whether L, habitat and host blood conferred relative fitness advantages using generalized linear mixed-effects models and a multimodel inference approach with model averaging.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
February 2015
Laboratory of Populations, The Rockefeller and Columbia Universities, New York, NY 10065-6399
How do the lifestyles (free-living unparasitized, free-living parasitized, and parasitic) of animal species affect major ecological power-law relationships? We investigated this question in metazoan communities in lakes of Otago, New Zealand. In 13,752 samples comprising 1,037,058 organisms, we found that species of different lifestyles differed in taxonomic distribution and body mass and were well described by three power laws: a spatial Taylor's law (the spatial variance in population density was a power-law function of the spatial mean population density); density-mass allometry (the spatial mean population density was a power-law function of mean body mass); and variance-mass allometry (the spatial variance in population density was a power-law function of mean body mass). To our knowledge, this constitutes the first empirical confirmation of variance-mass allometry for any animal community.
View Article and Find Full Text PDFPLoS Negl Trop Dis
October 2014
Laboratory of Populations, Rockefeller and Columbia Universities, New York, New York, United States of America.
Background: Triatoma infestans -the principal vector of the infection that causes Chagas disease- defies elimination efforts in the Gran Chaco region. This study identifies the types of human-made or -used structures that are key sources of these bugs in the initial stages of house reinfestation after an insecticide spraying campaign.
Methodology And Principal Findings: We measured demographic and blood-feeding parameters at two geographic scales in 11 rural communities in Figueroa, northwest Argentina.
PLoS Negl Trop Dis
March 2015
Laboratory of Populations, Rockefeller and Columbia Universities, New York, New York, United States of America.
Background: The host species composition in a household and their relative availability affect the host-feeding choices of blood-sucking insects and parasite transmission risks. We investigated four hypotheses regarding factors that affect blood-feeding rates, proportion of human-fed bugs (human blood index), and daily human-feeding rates of Triatoma infestans, the main vector of Chagas disease.
Methods: A cross-sectional survey collected triatomines in human sleeping quarters (domiciles) of 49 of 270 rural houses in northwestern Argentina.
Proc Natl Acad Sci U S A
December 2009
Laboratory of Populations, Rockefeller and Columbia Universities, New York, NY 10065-6399, USA.
Many studies have aimed to understand food webs by investigating components such as trophic links (one consumer taxon eats one resource taxon), tritrophic interactions (one consumer eats an intermediate taxon, which eats a resource), or longer chains of links. We show here that none of these components (links, tritrophic interactions, and longer chains), individually or as an ensemble, accounts fully for the properties of the next higher level of organization. As a cell is more than its molecules, as an organ is more than its cells, and as an organism is more than its organs, in a food web, new structure emerges at every organizational level up to and including the whole web.
View Article and Find Full Text PDFPLoS Biol
December 2004
Laboratory of Populations, Rockefeller and Columbia Universities, New York, New York, USA.
Joel Cohen offers a historical and prospective analysis of the relationship between mathematics and biology
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