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Automated FRRF measurements provide an alternative means to obtain seasonal and annual primary production estimates. Jacco Kromkamp , Greg Silsbe , Jethro Waanders & Jan Peene. Partners in PROTOOL Acknowledgements: EU-FP7-Env program for financing the project. Dave Suggett
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Automated FRRF measurementsprovideanalternative means toobtainseasonalandannualprimaryproductionestimates Jacco Kromkamp, Greg Silsbe, JethroWaanders & Jan Peene NIOZ is an institute of the Netherlands Organisation for Scientific Research (NWO)
Partners in PROTOOL Acknowledgements: EU-FP7-Env program for financing the project Dave Suggett Evelyn Lawrenz Denise Smythe-Wright Diane Purcell/Adrian Jacco/Greg/Jethro Jan Peene Stefan Simis PasiYlostalo OndrejPrasil OndrejKomarek Martin Trtilek Michal Sicner Rodney Forster Eliza Capuzzo RüdigerRöttgers RüdigerHeuermann Karin Munderloh 2
Why PROTOOL (PROductivityTOOLs) • Understanding aquatic ecosystems is not possible without knowledge of primary production • Biomass (chla) is no good measure of primary production (due to high –but varying - turnover rates) • Carrying capacity higher trophic levels depend on primary production, not on chla • Currently no simple PP method, hampering development of long term time series of primary production, certainly by water management agencies • Active fluorescence techniques (PAM-FRRF) are optical techniques, so “easy” to automate • FRRF-based approach can standardize measurements
Chl can be measured from space, but turning this into primary production is risky (lack of PI-data, uncertainty ~ 100%) Composite of annual NPP 0 150 300 450 g C/m2/yr http://marine.rugers.edu/opp/Production
Solution: use ships of opportunity and equip it with automated sensors to measure GPP etc? • 1 year of shipping routes
FRRF basics • Fv/Fm = indicator of physiological condition of the algae • Relative (!) ETR = PAR x ΔF/Fm’ Rise in F to Fm gives σPSII Max PSII efficiency Fm Fm’ FV ΔF Effective PSII efficiency Fo (proxy for [chla]
FRRF-basics: the functional and optical cross sections • effective = functional PSII cross section: a aPSII σPSII In dark:
ETR ≠ C-fixation • Linear ETR via PSI to NADPH • Alternative electron sinks : • Mehler reaction (water-water cycle) • NO3 reduction • PSI cyclic transport • PSII cycle • PTOX activity Investigate Φe,C for different water bodies to develop stochastic prediction model 8
Requirements for PROTOOL:1. convert ETR into C-fixation2. integrate ETR of whole water column over time ETR • Can be measured with FRRF • R-module to measure [chl], kd (zP),E • Unknowns at start project: • Φe,C(mol C/mol electrons) =0.25 mol C/e- • nPSII: can now be measured with new Oxborough sigma-algorithm = 0.002 PSII/chla
Algorithms used K&F algorithm NEW: Sigma algorithm Absorption algorithm (volumetric) 2 new algorithms allow, after proper calibration of nPSII (O2-flash yields) measurement of absolute ETR
Poster Oxborough et al: recent advancements in the methods used to analyse Fast Repetition rate Fluorometry (FRRf) data…. Poster Silsbe et al: Highly resolved measures of photosynthetic electron transport in European coastal waters
Sampling stations monitoring program Oosterschelde = Eastern Scheldt Mesotrophic Marine < 2 PSU Secchi:3-5m Westerschelde = Western Scheldt Eutrophic Secchi: 2-0.2m True estuary: 0-30 PSU
Fv/Fm as stress indicator • Low Fv/Fm nutrient limitation (red arrows) and in winter
Eastern Scheldt, station OS1, new algorithm no calibration for Φe,C(0.25) • Some problems with winter values (underestimations), but in general good agreement
“calibration” of electron requirement for C-fixation based on comparison of daily water column primary production: Eastern Scheldt Seasonality (?) in quantum requirement (QR=1/Φe,C)
Next step: use annual GPP for QR and average QR over all years. Station specific: example OS2 • QR varies between years for some stations • K&F algorithms produced too low QR (<4)
Estimates of annual primary productionEastern Scheldt • Annual GPP >90% accurate for new Oxborough algorithms!! • “old” K&F algorithm less reliable
Quantum requirements Western Scheldt • K&F algorithm no clear seasonality, but sigma and absorption algorithms show seasonality • Lowest QR April-Sept • Minimal QR<4
Western Scheldt: annual GPP as % 14C-GPP • Most estimates 75-125% of measured GPP • Cycle in QR? • Something odd with station WS4
conclusions • Automated application of FRRF and spectral reflectance makes automated primary production measurements possible • FRRF measurements accurately predict seasonal dynamics in GPP • Quantum requirements (QR) for C-fixation seem rather constant (5-7 in main growth season), but higher in winter (related to low Fv/Fm?). • QR are similar for each station, but year to year variation does exist. Reason??? (2006 was odd year in all measurements, also in Westerschelde) • More need to be done to understand variability in QRs • Using autonomous FRRF measurements on SOOPs can significantly improve global GPP estimates • Miniaturize for use on gliders
Chlais not a good predictor for primary production • Westerschelde estuary: high SPM, eutrophic • Oosterschelde estuary: low SPM, mesotrophic
Map of chl-a derived through continuous reflectance measurements. The height of the green line is proportional to the chl-a concentration
Project Spectral Reflectance Measurements High spatial resolution (~100 m) characterization of the optical properties and its driving constituents in European Coastal waters.
The fluorometer • Different flow through systems: • direct connection to water inflow • Via storage tank (for dark acclimation or fixed sample)
Automated ETR from flow-through North Atlantic Cruise (England – Iceland) Baltic Sea
Acknowledgments: • EU-FP7 program for financing the project • Jan Peene for assistance with the 14C measurements • Partners in PROTOOL Dave Suggett Evelyn Lawrenz Denise Smythe-Wright JethroWaanders Stefan Simis PasiYlostalo OndrejPrasil OndrejKomarek Martin Trtilek Michal Sicner Rodney Forster Eliza Capuzzo RüdigerRöttgers RüdigerHeuermann Karin Munderloh
PSICAM (point source integrated cavity absorption meter) Data RüdigerRöttgers, HZG
Example: using a priori assumptions (4 electrons/C and nPSII=0.002 units/mg chla Central north arm North Sea • FRRF accurately captures seasonal dynamics and C-fixation estimates are close to measured one, even using a priori assumptions
Western Scheldt, Φe,C=0.25 • Good performance in both marine and freshwater areas
Estuaries worldwide • Linear relationship between PP and biomass macrobenthos Herman et al. 1999; Kemp et al. 2005