2015
DOI: 10.5194/bg-12-6351-2015
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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

Abstract: 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 collec… Show more

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Cited by 73 publications
(74 citation statements)
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“…Whilst the feasibility to detect the F FR signal was demonstrated at different scales [7][8][9][10], only few studies successfully retrieved canopy F R [11,12]. This is because the majority of available instruments have a coarse spectral resolution combined with a low signal-to-noise ratio that make it difficult to resolve the width of the narrow O 2 -B band and properly retrieve the faint F R signal.…”
Section: Introductionmentioning
confidence: 99%
“…Whilst the feasibility to detect the F FR signal was demonstrated at different scales [7][8][9][10], only few studies successfully retrieved canopy F R [11,12]. This is because the majority of available instruments have a coarse spectral resolution combined with a low signal-to-noise ratio that make it difficult to resolve the width of the narrow O 2 -B band and properly retrieve the faint F R signal.…”
Section: Introductionmentioning
confidence: 99%
“…Studies on the relationships of the spectral characteristics of the vegetation cover with CO 2 fluxes measured using the chamber technique have been conducted relatively rarely till now (Boelman et al, 2003;Dagg and Lafleur, 2010;Perez-Priego et al, 2015). However, considering that both chamber and spectral measurements can be performed at a small scale of crop fields where the EC technique cannot be applied, our aim was to demonstrate how these two methods can be successfully combined to develop simple empirical models which allow estimation of the GEP and NEP of different crops with remote sensing.…”
Section: Introductionmentioning
confidence: 99%
“…This was not the case for microbial biomass, which did not differ between nutrient addition treatments except for the last sampling campaign where the N + P treatment had higher biomass N. The treatment effect in plant tissues is possibly a result of the form of fertilizer applied, which was dominated to a greater extent by NO 3 À in the N-only plots. It is known that the herbaceous layer of the Majadas dehesa is more productive with N addition and shows an additional increase with N + P fertilization (Perez-Priego et al 2015. Alternatively, it is possible that the many different species that make up the dehesa herbaceous layer on average prefer NO 3 À (Britto and Kronzucker 2013).…”
Section: Ecosystem N Poolsmentioning
confidence: 99%
“…This is due to the relatively nutrient-poor parent material of the soil and the extremely dry summer conditions typical of the Mediterranean climate (Olea and San Miguel-Ayanz 2006, Moreno 2008, Vitousek et al 2010. Previous work has highlighted the vulnerability of dehesas to N deposition due to differing responses of individual vegetative components (Ochoa-Hueso et al 2013, Perez-Priego et al 2015 and the possibility of exacerbated fire-cycles due to increased biomass, such as that seen in the equivalent Californian ecosystem (Ochoa-Hueso et al 2011, Rivest et al 2011. Previous work has highlighted the vulnerability of dehesas to N deposition due to differing responses of individual vegetative components (Ochoa-Hueso et al 2013, Perez-Priego et al 2015 and the possibility of exacerbated fire-cycles due to increased biomass, such as that seen in the equivalent Californian ecosystem (Ochoa-Hueso et al 2011, Rivest et al 2011.…”
Section: Introductionmentioning
confidence: 99%