|Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests|
Science 351 (6276), 972, 2016
|What drives the seasonality of photosynthesis across the Amazon basin? A cross-site analysis of eddy flux tower measurements from the Brasil flux network|
N Restrepo-Coupe, HR Da Rocha, LR Hutyra, AC Da Araujo, LS Borma, ...
Agricultural and Forest Meteorology 182, 128-144, 2013
|Spatial patterns and temporal dynamics in savanna vegetation phenology across the North Australian Tropical Transect|
X Ma, A Huete, Q Yu, NR Coupe, K Davies, M Broich, P Ratana, ...
Remote sensing of Environment 139, 97-115, 2013
|Net ecosystem production in a temperate pine plantation in southeastern Canada|
MA Arain, N Restrepo-Coupe
Agricultural and Forest Meteorology 128 (3-4), 223-241, 2005
|An introduction to the Australian and New Zealand flux tower network–OzFlux|
J Beringer, LB Hutley, I McHugh, SK Arndt, D Campbell, HA Cleugh, ...
Biogeosciences 13 (21), 5895-5916, 2016
|The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data|
G Pastorello, C Trotta, E Canfora, H Chu, D Christianson, YW Cheah, ...
Scientific data 7 (1), 1-27, 2020
|Dry-season greening of Amazon forests|
SR Saleska, J Wu, K Guan, AC Araujo, A Huete, AD Nobre, ...
Nature 531 (7594), E4-E5, 2016
|Multiple site tower flux and remote sensing comparisons of tropical forest dynamics in Monsoon Asia|
AR Huete, N Restrepo-Coupe, P Ratana, K Didan, SR Saleska, K Ichii, ...
Agricultural and Forest Meteorology 148 (5), 748-760, 2008
|Mechanisms of water supply and vegetation demand govern the seasonality and magnitude of evapotranspiration in Amazonia and Cerrado|
BO Christoffersen, N Restrepo-Coupe, MA Arain, IT Baker, BP Cestaro, ...
Agricultural and Forest meteorology 191, 33-50, 2014
|Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data‐model intercomparison|
N Restrepo‐Coupe, NM Levine, BO Christoffersen, LP Albert, J Wu, ...
Global change biology 23 (1), 191-208, 2017
|Land surface phenological response to decadal climate variability across Australia using satellite remote sensing|
M Broich, A Huete, MG Tulbure, X Ma, Q Xin, M Paget, N Restrepo-Coupe, ...
Biogeosciences 11 (18), 5181-5198, 2014
|Variations in Amazon forest productivity correlated with foliar nutrients and modelled rates of photosynthetic carbon supply|
LM Mercado, S Patino, TF Domingues, NM Fyllas, GP Weedon, S Sitch, ...
Philosophical Transactions of the Royal Society B: Biological Sciences 366 …, 2011
|Partitioning controls on Amazon forest photosynthesis between environmental and biotic factors at hourly to interannual timescales|
J Wu, K Guan, M Hayek, N Restrepo‐Coupe, KT Wiedemann, X Xu, ...
Global Change Biology 23 (3), 1240-1257, 2017
|Robust dynamics of Amazon dieback to climate change with perturbed ecosystem model parameters|
B Poulter, F Hattermann, ED Hawkins, S Zaehle, S Sitch, ...
Global Change Biology 16 (9), 2476-2495, 2010
|Overview of the large-scale biosphere–atmosphere experiment in Amazonia Data Model Intercomparison Project (LBA-DMIP)|
LGG De Gonçalves, JS Borak, MH Costa, SR Saleska, I Baker, ...
Agricultural and Forest meteorology 182, 111-127, 2013
|Fires increase Amazon forest productivity through increases in diffuse radiation|
A Rap, DV Spracklen, L Mercado, CL Reddington, JM Haywood, RJ Ellis, ...
Geophysical Research Letters 42 (11), 4654-4662, 2015
|Parameterization of an ecosystem light-use-efficiency model for predicting savanna GPP using MODIS EVI|
X Ma, A Huete, Q Yu, N Restrepo-Coupe, J Beringer, LB Hutley, ...
Remote Sensing of Environment 154, 253-271, 2014
|Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography|
CE Moore, T Brown, TF Keenan, RA Duursma, AIJM Van Dijk, J Beringer, ...
Biogeosciences 13 (17), 5085-5102, 2016
|Soil moisture controls on phenology and productivity in a semi-arid critical zone|
J Cleverly, D Eamus, NR Coupe, C Chen, W Maes, L Li, R Faux, ...
Science of the Total Environment 568, 1227-1237, 2016
|A spatially explicit land surface phenology data product for science, monitoring and natural resources management applications|
M Broich, A Huete, M Paget, X Ma, M Tulbure, NR Coupe, B Evans, ...
Environmental Modelling & Software 64, 191-204, 2015