@article {Organelli2017,
	title = {On the discrimination of multiple phytoplankton groups from light absorption spectra of assemblages with mixed taxonomic composition and variable light conditions},
	journal = {Applied Optics},
	volume = {56},
	number = {14},
	year = {2017},
	note = {tex.mendeley-tags: RCC151,RCC322,RCC904},
	month = {may},
	pages = {3952},
	abstract = {According to recommendations of the international community of phytoplankton functional type algorithm devel- opers, a set of experiments on marine algal cultures was conducted to (1) investigate uncertainties and limits in phytoplankton group discrimination from hyperspectral light absorption properties of assemblages withmixed taxo- nomic composition, and (2) evaluate the extent to which modifications of the absorption spectral features due to variable light conditions affect the optical discrimination of phytoplankton. Results showed that spectral absorption signatures of multiple species can be extracted from mixed assemblages, even at low relative contributions. Errors in retrieved pigment abundances are, however, influenced by the co-occurrence of species with similar spectral features. Plasticity of absorption spectra due to changes in light conditions weakly affects interspecific differences, with errors {\textexclamdown}21\% for retrievals of pigment concentrations from mixed assemblages.},
	keywords = {RCC151, RCC322, RCC904},
	issn = {0003-6935},
	doi = {10.1364/AO.56.003952},
	url = {https://www.osapublishing.org/abstract.cfm?URI=ao-56-14-3952},
	author = {Organelli, Emanuele and Nuccio, Caterina and Lazzara, Luigi and Uitz, Julia and Bricaud, Annick and Massi, Luca}
}
@article {Roesler2017,
	title = {Recommendations for obtaining unbiased chlorophyll estimates from in situ chlorophyll fluorometers: A global analysis of WET Labs ECO sensors},
	journal = {Limnology and Oceanography: Methods},
	volume = {15},
	number = {6},
	year = {2017},
	note = {tex.mendeley-tags: RCC233,RCC42,RCC834},
	pages = {572{\textendash}585},
	abstract = {Chlorophyll fluorometers provide the largest in situ global data set for estimating phytoplankton biomass because of their ease of use, size, power consumption, and relatively low price. While in situ chlorophyll a (Chl) fluorescence is proxy for Chl a concentration, and hence phytoplankton biomass, there exist large natural variations in the relationship between in situ fluorescence and extracted Chl a concentration. Despite this large natural variability, we present here a global validation data set for the WET Labs Environmental Characterization Optics (ECO) series chlorophyll fluorometers that suggests a factor of 2 overestimation in the factory calibrated Chl a estimates for this specific manufacturer and series of sensors. We base these results on paired High Pressure Liquid Chromatography (HPLC) and in situ fluorescence match ups for which non-photochemically quenched fluorescence observations were removed. Additionally, we examined matchups between the factory-calibrated in situ fluorescence and estimates of chlorophyll concentration determined from in situ radiometry, absorption line height, NASA{\textquoteright}s standard ocean color algorithm as well as laboratory calibrations with phytoplankton monocultures spanning diverse species that support the factor of 2 bias. We therefore recommend the factor of 2 global bias correction be applied for the WET Labs ECO sensors, at the user level, to improve the global accuracy of chlorophyll concentration estimates and products derived from them. We recommend that other fluorometer makes and models should likewise undergo global analyses to identify potential bias in factory calibration.},
	keywords = {RCC233, RCC42, RCC834},
	issn = {15415856},
	doi = {10.1002/lom3.10185},
	author = {Roesler, Collin and Uitz, Julia and Claustre, Herv{\'e} and Boss, Emmanuel and Xing, Xiaogang and Organelli, Emanuele and Briggs, Nathan and Bricaud, Annick and Schmechtig, Catherine and Poteau, Antoine and D{\textquoteright}Ortenzio, Fabrizio and Ras, Josephine and Drapeau, Susan and Ha{\"e}ntjens, Nils and Barbieux, Marie}
}
