Cargando…
Global Validation of a Process-Based Model on Vegetation Gross Primary Production Using Eddy Covariance Observations
Gross Primary Production (GPP) is the largest flux in the global carbon cycle. However, large uncertainties in current global estimations persist. In this study, we examined the performance of a process-based model (Integrated BIosphere Simulator, IBIS) at 62 eddy covariance sites around the world....
Autores principales: | Liu, Dan, Cai, Wenwen, Xia, Jiangzhou, Dong, Wenjie, Zhou, Guangsheng, Chen, Yang, Zhang, Haicheng, Yuan, Wenping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222824/ https://www.ncbi.nlm.nih.gov/pubmed/25375227 http://dx.doi.org/10.1371/journal.pone.0110407 |
Ejemplares similares
-
Methodological challenges and new perspectives of shifting vegetation phenology in eddy covariance data
por: Panwar, Annu, et al.
Publicado: (2023) -
Estimation of gross primary production of irrigated maize using Landsat-8 imagery and Eddy Covariance data
por: Madugundu, Rangaswamy, et al.
Publicado: (2017) -
Assessing Crop Coefficients for Natural Vegetated Areas Using Satellite Data and Eddy Covariance Stations
por: Corbari, Chiara, et al.
Publicado: (2017) -
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
por: Pastorello, Gilberto, et al.
Publicado: (2020) -
Shipborne eddy covariance observations of methane fluxes constrain Arctic sea emissions
por: Thornton, Brett F., et al.
Publicado: (2020)