{"refrec":{"BRefID":448846,"RR":"<b>Hochberg, E.J.; Ducret, H.; Dierssen, H.M.</b> (2025). Revised empirical models for estimating coral pigment concentrations from optical reflectance spectra. <i>Applied Optics (2004) 64(35)</i>: 10603-10610. <a href=\"https://dx.doi.org/10.1364/AO.578421\" target=\"_blank\">https://dx.doi.org/10.1364/AO.578421</a>","BEntID":446684,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Applied Optics (2004) 64(35)</i>: 10603-10610. <a href=\"https://dx.doi.org/10.1364/AO.578421\" target=\"_blank\">https://dx.doi.org/10.1364/AO.578421</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Hochberg, E.J.; Ducret, H.; Dierssen, H.M.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Hochberg, E.J.; Ducret, H.; Dierssen, H.M.","Englishabstract":"Spectral reflectance provides a potentially non-invasive approach to estimating coral pigments. We developed revised models using partial least-squares regression trained on paired reflectance and high-performance liquid chromatography pigment data from five coral species. Robust cross-validation yielded useful models for chlorophyll a, peridinin, diadinoxanthin, and beta-carotene, though chlorophyll c2 and diatoxanthin performed poorly, likely from chromatographic or degradation issues. Target factor analysis confirmed all pigments were spectrally present. Applying the models to >4000 spectra from 130 corals across 16 genera produced biologically reasonable estimates consistent with Symbiodiniaceae pigment suites. Although prediction errors limit high-precision physiology, these models enable scalable, non-destructive monitoring of coral pigment dynamics. 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