Anthony Di Fiore

Anthony Di Fiore

Department of Anthropology, The University of Texas at Austin, Austin, Minnesota, USA
orcid

Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 March 2009 in Science
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OPOliver L. Phillips
Oliver L. Phillips
LALuiz E. O. C. Aragão
Luiz E. O. C. Aragão
SLSimon L. Lewis
Simon L. Lewis
Joshua FisherJoshua Fisher
Joshua Fisher
JLJon Lloyd
Jon Lloyd
ATArmando Torres-Lezama
Armando Torres-Lezama
Amazon forests are a key but poorly understood component of the global carbon cycle. If, as anticipated, they dry this century, they might accelerate climate change through carbon losses and changed surface energy balances. We used records from multiple long-term monitoring plots across Amazonia to assess forest responses to the intense 2005 drought, a possible analog of future events. Affected forest lost biomass, reversing a large long-term carbon sink, with the greatest impacts observed where the dry season was unusually intense. Relative to pre-2005 conditions, forest subjected to a 100-millimeter increase in water deficit lost 5.3 megagrams of aboveground biomass of carbon per hectare. The drought had a total biomass carbon impact of 1.2 to 1.6 petagrams (1.2 × 10 15 to 1.6 × 10 15 grams). Amazon forests therefore appear vulnerable to increasing moisture stress, with the potential for large carbon losses to exert feedback on climate change.

6 January 2017 in Science Advances
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AEAlejandro Estrada
Alejandro Estrada
PGPaul Alan Garber
Paul Alan Garber
ARAnthony B. Rylands
Anthony B. Rylands
Christian RoosChristian Roos
Christian Roos
EFEduardo Fernandez-Duque
Eduardo Fernandez-Duque
保国 李保国 李
保国 李
Impending extinction of the world’s primates due to human activities; immediate global attention is needed to reverse the trend.

18 October 2013 in Science
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HSHans ter Steege
Hans ter Steege
NPNigel C. A. Pitman
Nigel C. A. Pitman
DSDaniel Sabatier
Daniel Sabatier
CBChristopher Baraloto
Christopher Baraloto
RSRafael P. Salomão
Rafael P. Salomão
MSMiles R. Silman
Miles R. Silman
Introduction: Recent decades have seen a major international effort to inventory tree communities in the Amazon Basin and Guiana Shield (Amazonia), but the vast extent and record diversity of these forests have hampered an understanding of basinwide patterns. To overcome this obstacle, we compiled and standardized species-level data on more than half a million trees in 1170 plots sampling all major lowland forest types to explore patterns of commonness, rarity, and richness.Methods: The ~6-million-km2Amazonian lowlands were divided into 1° cells, and mean tree density was estimated for each cell by using a loess regression model that included no environmental data but had its basis exclusively in the geographic location of tree plots. A similar model, allied with a bootstrapping exercise to quantify sampling error, was used to generate estimated Amazon-wide abundances of the 4962 valid species in the data set. We estimated the total number of tree species in the Amazon by fitting the mean rank-abundance data to Fisher’s log-series distribution.Results: Our analyses suggest that lowland Amazonia harbors 3.9 × 1011trees and ~16,000 tree species. We found 227 “hyperdominant” species (1.4% of the total) to be so common that together they account for half of all trees in Amazonia, whereas the rarest 11,000 species account for just 0.12% of trees. Most hyperdominants are habitat specialists that have large geographic ranges but are only dominant in one or two regions of the basin, and a median of 41% of trees in individual plots belong to hyperdominants. A disproportionate number of hyperdominants are palms, Myristicaceae, and Lecythidaceae.Discussion: The finding that Amazonia is dominated by just 227 tree species implies that most biogeochemical cycling in the world’s largest tropical forest is performed by a tiny sliver of its diversity. The causes underlying hyperdominance in these species remain unknown. Both competitive superiority and widespread pre-1492 cultivation by humans are compelling hypotheses that deserve testing. Although the data suggest that spatial models can effectively forecast tree community composition and structure of unstudied sites in Amazonia, incorporating environmental data may yield substantial improvements. An appreciation of how thoroughly common species dominate the basin has the potential to simplify research in Amazonian biogeochemistry, ecology, and vegetation mapping. Such advances are urgently needed in light of the >10,000 rare, poorly known, and potentially threatened tree species in the Amazon.

18 March 2015 in Nature
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RBR. J. W. Brienen
R. J. W. Brienen
OPOliver L. Phillips
Oliver L. Phillips
TFTed Feldpaush
Ted Feldpaush
EGE. Gloor
E. Gloor
TBT. R. Baker
T. R. Baker
RZR. J. Zagt
R. J. Zagt

25 July 2012 in Nature
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WLWilliam Laurance
William Laurance
DUD. Carolina Useche
D. Carolina Useche
JRJulio Rendeiro
Julio Rendeiro
MKMargareta Kalka
Margareta Kalka
Corey BradshawCorey Bradshaw
Corey Bradshaw
FZFranky Zamzani
Franky Zamzani

21 April 2004 in Global Change Biology
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TBTimothy R. Baker
Timothy R. Baker
OPOliver L. Phillips
Oliver L. Phillips
YMYadvinder Malhi
Yadvinder Malhi
SASamuel Almeida
Samuel Almeida
LALuzmila Arroyo
Luzmila Arroyo
RMRodolfo Vásquez Martínez
Rodolfo Vásquez Martínez