Bogs, as nutrient-poor ecosystems, are particularly sensitive to atmospheric nitrogen (N) deposition. Nitrogen deposition alters bog plant community composition and can limit their ability to sequester carbon (C). Spectroscopy is a promising approach for studying how N deposition affects bogs because of its ability to remotely determine changes in plant species composition in the long term as well as shorter-term changes in foliar chemistry. However, there is limited knowledge on the extent to which bog plants differ in their foliar spectral properties, how N deposition might affect those properties, and whether subtle inter- or intraspecific changes in foliar traits can be spectrally detected. The objective of the study was to assess the effect of N deposition on foliar traits and spectra. Usinganintegratingspherefittedtoafieldspectrometer,wemeasuredspectralpropertiesof leavesfromthefourmostcommonvascularplantspecies(Chamaedaphnecalyculata,Kalmiaangustifolia, RhododendrongroenlandicumandEriophorumvaginatum)inthreebogsinsouthernQuébecandOntario, Canada, exposed to different atmospheric N deposition levels, including one subjected to a 18-year N fertilization experiment. We also measured chemical and morphological properties of those leaves. We found detectable intraspecific changes in leaf structural traits and chemistry (namely chlorophyll b and N concentrations) with increasing N deposition and identified spectral regions that helped distinguish the site-specific populations within each species. Most of the variation in leaf spectral, chemical, and morphological properties was among species. As such, species had distinct spectral foliar signatures, allowing us to identify them with high accuracy with partial least squares discriminant analyses (PLSDA). Predictions of foliar traits from spectra using partial least squares regression (PLSR) were generally accurate, particularly for the concentrations of N and C, soluble C, leafwater,anddrymattercontent(<10%RMSEP).However,thesemulti-speciesPLSRmodelswerenot accuratewithinspecies,wheretherangeofvalueswasnarrow. Toimprovethedetectionofshort-term intraspecific changes in functional traits, models should be trained with more species-specific data. Our field study showing clear differences in foliar spectra and traits among species, and some within-speciesdifferencesduetoNdeposition,suggestthatspectroscopyisapromisingapproachfor assessing long-term vegetation changes in bogs subject to atmospheric pollution
