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Volume 12, issue 21
Biogeosciences, 12, 6351–6367, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: EUROSPEC – spectral sampling tools for vegetation biophysical...

Biogeosciences, 12, 6351–6367, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 09 Nov 2015

Research article | 09 Nov 2015

Sun-induced chlorophyll fluorescence and photochemical reflectance index improve remote-sensing gross primary production estimates under varying nutrient availability in a typical Mediterranean savanna ecosystem

O. Perez-Priego et al.

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Cited articles

Akaike, H.: Information Theory and an Extension of the Maximum Likelihood Principle, in: Selected Papers of Hirotugu Akaike, edited by: Parzen, E., Tanabe, K., and Kitagawa, G., Springer Series in Statistics, Springer New York, 1998.
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Baret, F., Houlès, V., and Guérif, M.: Quantification of plant stress using remote sensing observations and crop models: The case of nitrogen management, J. Exp. Bot., 58, 869–880, 2007.
Barton, C. V. M. and North, P. R. J.: Remote sensing of canopy light use efficiency using the photochemical reflectance index: Model and sensitivity analysis, Remote Sens. Environ., 78, 264–273, 2001.
Bates, D. M. and Watts, D. G.: Frontmatter. In: Nonlinear Regression Analysis and Its Applications, John Wiley & Sons, Inc., 2008.
Publications Copernicus
Short summary
Sun-induced chlorophyll fluorescence and photochemical reflectance index revealed controls of climate and nutrient availability on photosynthesis (gross primary production, GPP). Meteo-driven models (MMs) were unable to describe nutrient-induced effects on GPP. Important implications can be derived from these results, and uncertainties in the prediction of global GPP still remain when MMs do not account for plant nutrient availability.
Sun-induced chlorophyll fluorescence and photochemical reflectance index revealed controls of...
Final-revised paper