Ty (U24-002-C Conductivity Logger, Onset, Bourne, MA, USA) have been deployed above the sediment surface near the flux tower. two.3. Flux Data and LUE Calculation Four-year continuous 10-Hz time series raw data had been measured employing an EC technique and recorded inside a CR3000 datalogger (Campbell Scientific, Inc., Logan, UT, USA). The EC method integrated a three-axis sonic anemometer (CSAT-3, Campbell Scientific, Inc., Logan, UT, USA) and an open path infrared gas analyzer (LI-7500, Li-COR Inc., P7C3 manufacturer Lincoln, NE, USA). Net ecosystem exchange (NEE) was calculated by means of flux corrections and good quality control procedures [44] (which includes axis rotation, ultrasonic correction, frequency response correction, steady-state test, turbulent situations test, statistical test, absolute limits test, and rain test) mainly employing the EddyPro6.1 computer software (Li-COR Inc., Lincoln, NE, USA). Daytime Re (ecosystem respiration) was estimated from daytime temperature according to the fitted nighttime temperature-respiration exponential regression model [44] then GPP was calculated as the value of daytime Re minus NEE (Equation (1)). LUE was computed as the ratio of GPP and APAR (Equation (2)), exactly where APAR was the solution of PAR and f APAR (fraction of absorbed PAR) (Equation (three)). f APAR was derived from SWin (incoming shortwave radiation) and SWout (outgoing shortwave radiation) (Equation (4)). The calculation of LUE was depending on half-hour information of GPP and APAR and then converted to daily mean values. Within this study, the downward (from the atmosphere to mangroves) and upward carbon fluxes have been represented by optimistic and unfavorable values, respectively. GPP = Re – NEE LUE = GPP/APAR APAR = PAR f APAR f APAR = 1 – SWout /SWin two.4. Spectral Measurement and Processing With spectral reflectance sensors (SRS; Decagon Devices, Pullman, WA, USA) mounted at the Vc-seco-DUBA Formula height of 9 m above the canopy, canopy spectral radiance and sky irradiance have been continuously measured to calculate PRI. A pair of SRS sensors were fixed in the similar height with the upward-facing sensor measuring sky irradiance plus the downward-facing sensor measuring canopy spectral radiance. The downward-facing sensor was affixed facing north having a 45 view zenith angle. The field of view from the upward sensor was hemispherical along with the downward a single was 36 with an optical footprint of 200 m2 . Spectral measurements under rainy situations were excluded. Time series of canopy reflectance values at 531 nm (r531 ) and 570 nm (r570 ) bands have been derived from corresponding canopy radiance and sky irradiance measurements, and PRI was calculated determined by these two canopy reflectance values [26]: PRI = (r531 – r570 )/(r531 + r570 ) (5) (1) (two) (3) (4)Remote Sens. 2021, 13,5 ofTo distinguish the relative contribution of two components (constitutive and facultative) for the temporal variation from the PRI time series, we calculated many PRI-derived indicators for every day to explore the underlying physiological mechanisms. PRI0 was calculated because the imply value of PRI below comparatively low light circumstances (solar elevation angles between 355 ) to represent a dark-state pigment content material (constitutive) with minimal xanthophyll de-epoxidation. The application of this criterion of solar elevation angles excluded information of negative high quality below also low light situations [37]. Sunlit PRI was calculated because the minimum PRI around noon (among 11:30 and 13:30 nearby time) using the strongest illumination. Sunlit PRI was subtracted from PRI0 to calculate seasonal PRI,.
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