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1.
Short-term variation in leaf-level water use efficiency in a tropical forest.
New Phytol
; 237(6): 2069-2087, 2023 03.
Article
in English
| MEDLINE | ID: mdl-36527230
2.
The effect of the vertical gradients of photosynthetic parameters on the CO2 assimilation and transpiration of a Panamanian tropical forest.
New Phytol
; 238(6): 2345-2362, 2023 06.
Article
in English
| MEDLINE | ID: mdl-36960539
3.
Leaves as bottlenecks: The contribution of tree leaves to hydraulic resistance within the soil-plant-atmosphere continuum.
Plant Cell Environ
; 46(3): 736-746, 2023 03.
Article
in English
| MEDLINE | ID: mdl-36564901
4.
An improved representation of the relationship between photosynthesis and stomatal conductance leads to more stable estimation of conductance parameters and improves the goodness-of-fit across diverse data sets.
Glob Chang Biol
; 28(11): 3537-3556, 2022 06.
Article
in English
| MEDLINE | ID: mdl-35090072
5.
Detection of the metabolic response to drought stress using hyperspectral reflectance.
J Exp Bot
; 72(18): 6474-6489, 2021 09 30.
Article
in English
| MEDLINE | ID: mdl-34235536
6.
A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression.
J Exp Bot
; 72(18): 6175-6189, 2021 09 30.
Article
in English
| MEDLINE | ID: mdl-34131723
7.
The response of stomatal conductance to seasonal drought in tropical forests.
Glob Chang Biol
; 26(2): 823-839, 2020 02.
Article
in English
| MEDLINE | ID: mdl-31482618
8.
Terrestrial biosphere models may overestimate Arctic CO2 assimilation if they do not account for decreased quantum yield and convexity at low temperature.
New Phytol
; 223(1): 167-179, 2019 07.
Article
in English
| MEDLINE | ID: mdl-30767227
9.
From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance.
New Phytol
; 224(4): 1557-1568, 2019 12.
Article
in English
| MEDLINE | ID: mdl-31418863
10.
Homoeostatic maintenance of nonstructural carbohydrates during the 2015-2016 El Niño drought across a tropical forest precipitation gradient.
Plant Cell Environ
; 42(5): 1705-1714, 2019 05.
Article
in English
| MEDLINE | ID: mdl-30537216
11.
Spectroscopy can predict key leaf traits associated with source-sink balance and carbon-nitrogen status.
J Exp Bot
; 70(6): 1789-1799, 2019 03 27.
Article
in English
| MEDLINE | ID: mdl-30799496
12.
Terrestrial biosphere models underestimate photosynthetic capacity and CO2 assimilation in the Arctic.
New Phytol
; 216(4): 1090-1103, 2017 Dec.
Article
in English
| MEDLINE | ID: mdl-28877330
13.
New calculations for photosynthesis measurement systems: what's the impact for physiologists and modelers?
New Phytol
; 233(2): 592-598, 2022 01.
Article
in English
| MEDLINE | ID: mdl-34605019
14.
Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats.
Sci Data
; 9(1): 700, 2022 11 14.
Article
in English
| MEDLINE | ID: mdl-36376356
15.
Rapid estimation of photosynthetic leaf traits of tropical plants in diverse environmental conditions using reflectance spectroscopy.
PLoS One
; 16(10): e0258791, 2021.
Article
in English
| MEDLINE | ID: mdl-34665822
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