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0549317 - ÚVGZ 2022 RIV NL eng J - Journal Article
Bao, S. - Wutzler, T. - Koirala, S. - Cuntz, M. - Ibrom, A. - Besnard, S. - Walther, S. - Šigut, Ladislav - Moreno, A. - Weber, U. - Wohlfahrt, G. - Cleverly, J. - Migliavacca, M. - Woodgate, W. - Merbold, L. - Veenendaal, E. - Carvalhais, N.
Environment-sensitivity functions for gross primary productivity in light use efficiency models.
Agricultural and Forest Meteorology. Roč. 312, JAN (2022), č. článku 108708. ISSN 0168-1923. E-ISSN 1873-2240
Institutional support: RVO:86652079
Keywords : approximate bayesian computation * net primary productivity * water-vapor exchange * land-cover change * carbon-dioxide * eddy covariance * terrestrial ecosystems * interannual variability * temperature response * diffuse-radiation * Carbon assimilation * Radiation use efficiency * Model comparison * Model equifinality * Diffuse fraction * Sensitivity formulations * Randomly sampled sites * Temporal scales
OECD category: Meteorology and atmospheric sciences
Impact factor: 6.2, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0168192321003944?via%3Dihub#!
Permanent Link: http://hdl.handle.net/11104/0327016