Publications by authors named "M Mercedes Gavilanez"

White-lipped peccaries () represent a key element of trophic networks in tropical rainforest ecosystems by playing the dual role of consumer and prey. Despite their importance, pressures on their populations have increased during the last few decades due to hunting and deforestation across its distributional range. These pressures may have led the remaining populations to move into new territories and to change their migratory and gregarious behaviour.

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Understanding diversity patterns and the potential mechanisms driving them is a fundamental goal in ecology. Examination of different dimensions of biodiversity can provide insights into the relative importance of different processes acting upon biotas to shape communities. Unfortunately, patterns of diversity are still poorly understood in hyper-diverse tropical countries.

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Inference involving diversity gradients typically is gathered by mechanistic tests involving single dimensions of biodiversity such as species richness. Nonetheless, because traits such as geographic range size, trophic status or phenotypic characteristics are tied to a particular species, mechanistic effects driving broad diversity patterns should manifest across numerous dimensions of biodiversity. We develop an approach of stronger inference based on numerous dimensions of biodiversity and apply it to evaluate one such putative mechanism: the mid-domain effect (MDE).

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1. Diversity begets diversity. Numerous published positive correlations between environmental heterogeneity and species diversity indicate ubiquity of this phenomenon.

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The claudins comprise a multigene family of integral membrane proteins, which play a major role in tight junction formation. Aberrations in the expression of certain claudins have been described in a number of malignancies. Our aims were to determine the expression pattern of claudins 1, 3, and 4 as well as ZO-1 in a large series of US patients with gastric cancer and to correlate expression with clinicopathologic and prognostic variables.

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