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  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

Pérez‑Priego, O., Guan, J.-H., Rossini, M., Fava, F., Wutzler, T., Moreno, G., et al. (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. Biogeosciences, 12(21), 6351-6367. doi:10.5194/bg-12-6351-2015.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-0093-2 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-2D38-D
Genre: Journal Article

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Pérez‑Priego, Oscar1, Author              
Guan, Jin-Hong2, Author              
Rossini, M., Author
Fava, F., Author
Wutzler, Thomas2, Author              
Moreno, G., Author
Carvalhais, Nuno3, Author              
Carrara, A., Author
Kolle, Olaf4, Author              
Julitta, T., Author
Schrumpf, Marion2, Author              
Reichstein, Markus5, Author              
Migliavacca, Mirco1, Author              
Affiliations:
1Biosphere-Atmosphere Interactions and Experimentation, Dr. M. Migliavacca, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938307              
2Soil Processes, Dr. Marion Schrumpf, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938308              
3Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938310              
4Service Facility Field Measurements & Instrumentation, O. Kolle, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497769              
5Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              

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 Abstract: This study investigates the performances of different optical indices to estimate gross primary production (GPP) of herbaceous stratum in a Mediterranean savanna with different nitrogen (N) and phosphorous (P) availability. Sun-induced chlorophyll fluorescence yield computed at 760 nm (Fy760), scaled photochemical reflectance index (sPRI), MERIS terrestrial-chlorophyll index (MTCI) and normalized difference vegetation index (NDVI) were computed from near-surface field spectroscopy measurements collected using high spectral resolution spectrometers covering the visible near-infrared regions. GPP was measured using canopy chambers on the same locations sampled by the spectrometers. We tested whether light-use efficiency (LUE) models driven by remote-sensing quantities (RSMs) can better track changes in GPP caused by nutrient supplies compared to those driven exclusively by meteorological data (MM). Particularly, we compared the performances of different RSM formulations – relying on the use of Fy760 or sPRI as a proxy for LUE and NDVI or MTCI as a fraction of absorbed photosynthetically active radiation (f APAR) – with those of classical MM. Results showed higher GPP in the N-fertilized experimental plots during the growing period. These differences in GPP disappeared in the drying period when senescence effects masked out potential differences due to plant N content. Consequently, although MTCI was closely related to the mean of plant N content across treatments (r2 D 0:86, p < 0:01), it was poorly related to GPP (r2 D 0:45, p < 0:05). On the contrary sPRI and Fy760 correlated well with GPP during the whole measurement period. Results revealed that the relationship between GPP and Fy760 is not unique across treatments, but it is affected by N availability. Results from a cross-validation analysis showed that MM (AICcv D 127, MEcv D 0:879) outperformed RSM (AICcv D 140, MEcv D 0:8737) when soil moisture was used to constrain the seasonal dynamic of LUE. However, residual analyses demonstrated that GPP predictions with MM are inaccurate whenever no climatic variable explicitly reveals nutrient-related changes in the LUE parameter. These results suggest that RSM is a valuable means to diagnose nutrient-induced effects on the photosynthetic activity.

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 Dates: 2015-10-202015-11-092015
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: Other: BGC2336
DOI: 10.5194/bg-12-6351-2015
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Title: Biogeosciences
  Other : Biogeosciences
Source Genre: Journal
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Publ. Info: Katlenburg-Lindau, Germany : Copernicus GmbH on behalf of the European Geosciences Union
Pages: - Volume / Issue: 12 (21) Sequence Number: - Start / End Page: 6351 - 6367 Identifier: ISSN: 1726-4170
CoNE: https://pure.mpg.de/cone/journals/resource/111087929276006