Juliano Sarmento Cabral

Prof. Juliano Sarmento Cabral


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

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

Representative Publications

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13 January 2012 in Journal of Biogeography
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Journal Article
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PDF file
CDCarsten F. Dormann
Carsten F. Dormann
SSStanislaus J. Schymanski
Stanislaus J. Schymanski
JCJuliano Sarmento Cabral
Juliano Sarmento Cabral
ICIsabelle Chuine
Isabelle Chuine
CGCatherine Graham
Catherine Graham
ASAlexander Singer
Alexander Singer

12 April 2010 in Oikos
Verified
Journal Article
Closed access
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DZDamaris Zurell
Damaris Zurell
UBUta Berger
Uta Berger
JCJuliano Sarmento Cabral
Juliano Sarmento Cabral
FJFlorian Jeltsch
Florian Jeltsch
CMChristine N. Meynard
Christine N. Meynard
VGVolker Grimm
Volker Grimm

21 August 2012 in Journal of Biogeography
Verified
Journal Article
Closed access
PDF file
FSFrank M. Schurr
Frank M. Schurr
JPJörn Pagel
Jörn Pagel
JCJuliano Sarmento Cabral
Juliano Sarmento Cabral
JGJürgen Groeneveld
Jürgen Groeneveld
OBOlga Bykova
Olga Bykova
NZNiklaus Zimmermann
Niklaus Zimmermann

30 March 2016 in Nature
Verified
Journal Article
Closed access
PWPatrick Weigelt
Patrick Weigelt
MSManuel Steinbauer
Manuel Steinbauer
JCJuliano Sarmento Cabral
Juliano Sarmento Cabral
HKHolger Kreft
Holger Kreft

1 March 2019 in Trends in Ecology & Evolution
Verified
Journal Article
Open access
MPMikael Pontarp
Mikael Pontarp
LBLynsey Bunnefeld
Lynsey Bunnefeld
JCJuliano Sarmento Cabral
Juliano Sarmento Cabral
RERampal S. Etienne
Rampal S. Etienne
SFSusanne A. Fritz
Susanne A. Fritz
AHAllen H. Hurlbert
Allen H. Hurlbert
The latitudinal diversity gradient (LDG) is one of the most widely studied patterns in ecology, yet no consensus has been reached about its underlying causes. We argue that the reasons for this are the verbal nature of existing hypotheses, the failure to mechanistically link interacting ecological and evolutionary processes to the LDG, and the fact that empirical patterns are often consistent with multiple explanations. To address this issue, we synthesize current LDG hypotheses, uncovering their eco-evolutionary mechanisms, hidden assumptions, and commonalities. Furthermore, we propose mechanistic eco-evolutionary modeling and an inferential approach that makes use of geographic, phylogenetic, and trait-based patterns to assess the relative importance of different processes for generating the LDG.

12 February 2016 in Global Change Biology
Verified
Journal Article
Closed access
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DZDamaris Zurell
Damaris Zurell
WTWilfried Thuiller
Wilfried Thuiller
JPJörn Pagel
Jörn Pagel
JCJuliano Sarmento Cabral
Juliano Sarmento Cabral
TMTamara Münkemüller
Tamara Münkemüller
NZNiklaus Zimmermann
Niklaus Zimmermann