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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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Dispersal patterns in sympatric woolly and spider monkeys: integrating molecular and observational data

TL;DR: The results demonstrate the utility of molecular approaches to studying dispersal in primates as a complement to observational studies, but also suggest that further evaluation of dispersal patterns among these primates is needed.
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Variation in stem mortality rates determines patterns of above-ground biomass in Amazonian forests: implications for dynamic global vegetation models

Michelle O. Johnson, +81 more
TL;DR: It is found that woody NPP is not correlated with stem mortality rates and is weakly positively correlated with AGB, and across the four models, basin‐wide average AGB is similar to the mean of the observations.
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Species distribution modelling: Contrasting presence-only models with plot abundance data

Vitor Hugo Freitas Gomes, +209 more
- 17 Jan 2018 - 
TL;DR: This pipeline provides a conservative estimate of a species’ area of occupancy, within an area slightly larger than its extent of occurrence, compatible to e.g. IUCN red list assessments.
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Time Allocation Patterns of Lowland Woolly Monkeys (Lagothrix lagotricha poeppigii) in a Neotropical Terra Firma Forest

TL;DR: These results suggest that woolly monkeys follow an energy-maximizing strategy of food acquisition during times of fruit abundance—focusing on animal foods and perhaps laying down fat reserves to utilize when ecological conditions worsen—and follow anEnergy-minimizing Strategy when fruit resources are scarce.
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Estimating Population Density of Amazonian Titi Monkeys (Callicebus discolor) via Playback Point Counts

TL;DR: A new method for estimating population density of vocally responsive animals, which is based on playback calls coupled with auditory point transect sampling, is described, which yielded better estimates for red titi monkeys (Callicebus discolor) than traditional line Transect surveys.