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J. Antonio Guzmán Q.
J. Antonio Guzmán Q.
Other namesGuzmán Q., Jose Antonio Guzmán Quesada, Guzmán Q., J. Antonio
Verified email at fas.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Twenty‐first century remote sensing technologies are revolutionizing the study of tropical forests
A Sanchez‐Azofeifa, J Antonio Guzmán, CA Campos, S Castro, ...
Biotropica, 2017
542017
Comparing MODIS and near-surface vegetation indexes for monitoring tropical dry forest phenology along a successional gradient using optical phenology towers
C Rankine, GA Sánchez-Azofeifa, JA Guzmán, MM Espirito-Santo, I Sharp
Environmental Research Letters 12 (10), 105007, 2017
502017
Can terrestrial laser scanners (TLSs) and hemispherical photographs predict tropical dry forest succession with liana abundance?
GA Sánchez-Azofeifa, JA Guzmán, M Vega-Araya, C Campos-Vargas, ...
Biogeosciences 14 (4), 977-988, 2017
432017
Discrimination of liana and tree leaves from a Neotropical Dry Forest using visible-near infrared and longwave infrared reflectance spectra
JA Guzman, B Rivard, GA Sánchez-Azofeifa
Remote Sensing of Environment 219, 135-144, 2018
332018
On the relationship of fractal geometry and tree–stand metrics on point clouds derived from terrestrial laser scanning
JA Guzmán Q, I Sharp, F Alencastro, GA Sánchez‐Azofeifa
Methods in Ecology and Evolution 11 (10), 1309-1318, 2020
242020
Liana optical traits increase tropical forest albedo and reduce ecosystem productivity
F Meunier, MD Visser, A Shiklomanov, MC Dietze, JA Guzmán Q, ...
Global Change Biology 28 (1), 227-244, 2022
222022
Growth and photosynthetic performance of five tree seedlings species in response to natural light regimes from the Central Pacific of Costa Rica
JA Guzmán Q, RA Cordero S
Revista de Biología Tropical 61 (3), 1433-1444, 2013
152013
MODIS and PROBA-V NDVI Products Differ when Compared with Observations from Phenological Towers at Four Tropical Dry Forests in the Americas
JA Guzmán, GA Sanchez-Azofeifa, MM Espírito-Santo
Remote Sensing 11 (19), 2316, 2019
122019
Prediction of leaf traits of lianas and trees via the integration of wavelet spectra in the visible-near infrared and thermal infrared domains
JA Guzman, GA Sánchez-Azofeifa
Remote Sensing of Environment 259, 112406, 2021
102021
Tropical Dry Forest resilience and Water Use Efficiency: an analysis of productivity under climate change
KD Stan, A Sanchez-Azofeifa, SM Duran, JAG Quesada, M Hesketh, ...
Environmental Research Letters, 2021
102021
Using visible-near-infrared spectroscopy to classify lichens at a Neotropical Dry Forest
JA Guzmán, K Laakso, JC López-Rodríguez, B Rivard, ...
Ecological Indicators 111, 105999, 2020
72020
Differences in Leaf Temperature between Lianas and Trees in the Neotropical Canopy
JA Guzman, GA Sánchez-Azofeifa, B Rivard
Forests 9 (6), 307, 2018
72018
Biomass allocation and gas exchange performance are affected by light conditions in seedlings of endangered Cedrela salvadorensis (Meliaceae)
JA Guzmán, RA Cordero, E Corea
International Journal of Tropical Biology and Conservation 64 (3), 1143-1154, 2016
7*2016
Is forest cover conserved and restored by protected areas?: The case of two wild protected areas in the Central Pacific of Costa Rica
JA Guzmán Q., H Vega S.
International Journal of Tropical Biology and Conservation 63 (3), 579-590, 2015
7*2015
Mechanistic links between physiology and spectral reflectance enable previsual detection of oak wilt and drought stress
G Sapes, L Schroeder, A Scott, I Clark, J Juzwik, RA Montgomery, ...
Proceedings of the National Academy of Sciences 121 (7), e2316164121, 2024
52024
Mapping oak wilt disease from space using land surface phenology
JA Guzmán, JN Pinto-Ledezma, D Frantz, PA Townsend, J Juzwik, ...
Remote Sensing of Environment 298, 113794, 2023
52023
Ecological advantage of leaf heteroblasty in Costus pulverulentus (Costaceae)
JA Guzmán Q.
Botany 93 (3), 151-158, 2015
52015
Multi-decadal trends of low-clouds at the Tropical Montane Cloud Forests
G JA, HF Hamann, GA Sanchez-Azofeifa
Ecological Indicators 158, 111599, 2024
42024
Neighborhood structure influences the convergence in light capture efficiency and carbon gain: an architectural approach for cloud forest shrubs.
JA Guzmán Q., RA Cordero S.
Tree Physiology 36 (6), 712-724, 2016
42016
Why can we detect lianas from space?
MD Visser, M Detto, F Meunier, J Wu, JR Foster, DC Marvin, ...
bioRxiv, 2021.09. 30.462145, 2021
32021
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Articles 1–20