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Relation of Chlorophyll Fluorescence Sensitive Reflectance Ratios to Carbon Flux Measurements of Montanne Grassland and Norway Spruce Forest Ecosystems in the Temperate Zone
We explored ability of reflectance vegetation indexes (VIs) related to chlorophyll fluorescence emission (R (686)/R (630), R (740)/R (800)) and de-epoxidation state of xanthophyll cycle pigments (PRI, calculated as (R (531) − R (570))/(R (531) − R (570))) to track changes in the CO(2) assimilation r...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Scientific World Journal
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3373153/ https://www.ncbi.nlm.nih.gov/pubmed/22701368 http://dx.doi.org/10.1100/2012/705872 |
Sumario: | We explored ability of reflectance vegetation indexes (VIs) related to chlorophyll fluorescence emission (R (686)/R (630), R (740)/R (800)) and de-epoxidation state of xanthophyll cycle pigments (PRI, calculated as (R (531) − R (570))/(R (531) − R (570))) to track changes in the CO(2) assimilation rate and Light Use Efficiency (LUE) in montane grassland and Norway spruce forest ecosystems, both at leaf and also canopy level. VIs were measured at two research plots using a ground-based high spatial/spectral resolution imaging spectroscopy technique. No significant relationship between VIs and leaf light-saturated CO(2) assimilation (A (MAX)) was detected in instantaneous measurements of grassland under steady-state irradiance conditions. Once the temporal dimension and daily irradiance variation were included into the experimental setup, statistically significant changes in VIs related to tested physiological parameters were revealed. ΔPRI and Δ(R (686)/R (630)) of grassland plant leaves under dark-to-full sunlight transition in the scale of minutes were significantly related to A (MAX) (R (2) = 0.51). In the daily course, the variation of VIs measured in one-hour intervals correlated well with the variation of Gross Primary Production (GPP), Net Ecosystem Exchange (NEE), and LUE estimated via the eddy-covariance flux tower. Statistical results were weaker in the case of the grassland ecosystem, with the strongest statistical relation of the index R (686)/R (630) with NEE and GPP. |
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