11 to 18 of 18 Results
Mar 13, 2020
Castro, Saulo; Sanchez-Azofeifa, Arturo, 2020, "Replication Data for: Effect of temporal aggregation and phenology on LUE model variables and productivity in two deciduous forests.", https://doi.org/10.7910/DVN/GWUIKE, Harvard Dataverse, V1, UNF:6:B5ZFfdZujnoN1FwUF6YE6g== [fileUNF]
The integration of optical and flux data requires temporal aggregation of data. In this study, we explore the effect of temporal integration through an in-depth assessment exploring its impact and its ecological relevance. Optical remote sensing and eddy covariance flux data collected over four years from a Tropical Dry Forest (TDF) and a Deciduous... |
Mar 12, 2020
Castro, Saulo; Sanchez-Azofeifa, Arturo, 2020, "Replication Data for: Testing of Automated Photochemical Reflectance Index Sensors as Proxy Measurements of Light Use Efficiency in an Aspen Forest", https://doi.org/10.7910/DVN/ZDZHAH, Harvard Dataverse, V1, UNF:6:D2l28vek6gh+j/LNAq50MQ== [fileUNF]
Commercially available autonomous photochemical reflectance index (PRI) sensors are a new development in the remote sensing field that offer novel opportunities for a deeper exploration of vegetation physiology dynamics. In this study, we evaluated the reliability of autonomous PRI sensors (SRS-PRI) developed by METER Group Inc. as proxies of light... |
Mar 2, 2020
Castro, Saulo; Sanchez-Azofeifa, Arturo; Sato, Hiromitsu, 2020, "Replication Data for: Effect of drought on productivity in a Costa Rican tropical dry forest", https://doi.org/10.7910/DVN/P1PTYB, Harvard Dataverse, V1, UNF:6:NlfbGr60Muoy8U31vLFfSQ== [fileUNF]
Climate models predict that precipitation patterns in tropical dry forests (TDFs) will change, with an overall reduction in rainfall amount and intensification of dry intervals, leading to greater susceptibility to drought. In this paper, we explore the effect of drought on phenology and carbon dynamics of a secondary TDF located in the Santa Rosa... |
Feb 10, 2020
Putzenlechner, Birgitta; Marzahn, Philip; Sanchez-Azofeifa, Arturo G., 2020, "Replication data for: Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR", https://doi.org/10.7910/DVN/IYI4OO, Harvard Dataverse, V1, UNF:6:FSwcnWvI36eWE8XOVzFbCw== [fileUNF]
Preprocessed data of permanent (year 2016) FAPAR observations (two-, three- and four-flux) using Wireless Sensor Networks (WSNs) and observations of wind speed, leaf color, snow coverage and season at three forest sites: The North American "Peace River Environmental Monitoring Super Site" ("Peace River") in Northern Alberta, Canada with a boreal-de... |
Jan 24, 2020
Guzmán, J. A.; Sharp, I.; Alencastro, F.; Sánchez-Azofeifa, G. A, 2020, "Replication Data for: On the relationship of the fractal geometry and tree-stand metrics on point clouds derived from Terrestrial Laser Scanning.", https://doi.org/10.7910/DVN/DYNAWT, Harvard Dataverse, V1
Point clouds collected by the authors of the manuscript. The description of the data collection is provided on Supplementary Materials of the manuscript. The point clouds are compressed in a .zip file. Santa Rosa National Park-Environmental Monitoring Super Site (SRNP-EMSS), and University of Alberta North Campus (UofA). |
Dec 1, 2019
Guzmán, J. A.; Laakso, Kati; López-Rodríguez, Jose; Rivard, Benoit; Sánchez-Azofeifa, G.A., 2019, "Replication Data for: Using visible-near-infrared spectroscopy to classify lichens at a Neotropical Dry Forest", https://doi.org/10.7910/DVN/Y1J0UQ, Harvard Dataverse, V1, UNF:6:/QEpWANup3+X+etHz6nDww== [fileUNF]
This is the unprocessed spectra of lichens and their bark. In the excel file there are three sheets: i) IDs for species and samples, ii) lichen spectra, and iii) bark spectra. The link between samples and sheets is based on 'ID_sample'. |
Nov 29, 2019
J. Antonio, Guzmán Q.; G. Arturo, Sanchez-Azofeifa; Mário M., Espírito-Santo, 2019, "Replication Data for: MODIS and PROBA-V NDVI Products Differ when Compared with Observations from Phenological Towers at Four Tropical Dry Forests in the Americas", https://doi.org/10.7910/DVN/BDCJNP, Harvard Dataverse, V1, UNF:6:MYrc9ySMqLZcc7Jr2xy2rg== [fileUNF]
Preprocessed data of daily NDVI observations from phenological towers at four tropical dry forests in the Americas. Acronyms represent: Chamela Biological Station (CBS), Santa Rosa National Park Environmental Monitoring Super Site (SRNP-EMSS), Lagoa do Cajueiro State Park (LC-SP), and Parque Estadual da Mata Seca–Environmental Monitoring Super Site... |
Oct 7, 2019
Stan, Kayla; Sanchez-Azofeifa, Arturo; Calvo-Rodriguez, Sofia; Castro-Magnani, Marissa; Chen, Jing; Ludwig, Ralf; Zou, Lidong, 2019, "Replication Data for: Climate change scenarios and projected impacts for the forest productivity in the Guanacaste province: lessons for tropical forest regions", https://doi.org/10.7910/DVN/G8Q7ZG, Harvard Dataverse, V1, UNF:6:r/er3sfLDlIKCqYuU9w6oQ== [fileUNF]
The Guanacaste Province of Costa Rica is home to highly diverse forests which are under threat of degradation due to ongoing climatic changes. There is concern that increasing temperatures and changes in precipitation will force these forests outside of their optimal growth ranges leading to degradation, measured using forest productivity. The obje... |
