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Anthony Di Fiore

Researcher at University of Texas at Austin

Publications -  164
Citations -  13875

Anthony Di Fiore is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Population & Animal ecology. The author has an hindex of 48, co-authored 155 publications receiving 11656 citations. Previous affiliations of Anthony Di Fiore include Universidad San Francisco de Quito & National Museum of Natural History.

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Initiation of feeding by four sympatric Neotropical primates (Ateles belzebuth, Lagothrix lagotricha poeppigii, Plecturocebus (Callicebus) discolor, and Pithecia aequatorialis) in Amazonian Ecuador: Relationships to photic and ecological factors

TL;DR: The early movement of Ateles and Lagothrix, and late initiation of feeding by Pithecia are consistent with temporal niche partitions, and the potential for modification of temporal activity patterns and temporal niche partitioning by relatively small changes in temperature should be considered when predicting the effects of climate change.
Patent

Assay for determining the sex of primates

TL;DR: In this paper, the authors proposed a method for identifying the sex of a primate by providing a biological sample collected from the primate and contacting the biological sample with one or more probes that hybridize to a target SRY nucleic acid molecule at a particular location within a consensus SRY sequence.
Journal ArticleDOI

Double effort: parental behavior of wild Azara's owl monkeys in the face of twins

TL;DR: Time budgets showed that twin parents foraged more and moved less than singleton parents or groups without infants, despite the fact that phenological data indicate that fruit availability in 2011 was not substantially higher than in some of the other years.
Journal ArticleDOI

Water table depth modulates productivity and biomass across Amazonian forests

Thaiane Rodrigues de Sousa, +131 more
TL;DR: In this paper , the effects of long-term climatic and edaphic water availability on tropical forest structure and dynamics have been investigated in lowland Amazonian forests, showing that the two extremes of water availability (excess and deficit) both reduce productivity.