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Peatlands in the sub-humid Boreal Plains of Alberta exist at the limit of their climatic tolerance and are vulnerable to wildfire. This is especially true at the interface between the peatland and forestland (margins) due to water table fluctuation resulting in high peat bulk density and low moisture content during dry periods in some peatland systems. Deep burning at the margins may reduce a peatland's ability to recover to its previous state, leading to a reduction in area and/or collapse following fire, and bringing into question the long-term stability of Boreal Plains peatlands on the landscape under current and future climate predictions. Previous research has identified small peatlands located at a mid-topographic position on coarse sediments as hotspots for deep burning, as these peatlands are not regularly connected to regional groundwater flow. The ability of these peatland systems to recover lost carbon from both the interior and margin within the fire return interval, however, has not yet been investigated. This thesis further examines the relationship between surficial sediment assemblages and the impact of wildfire on overlying peatlands through assessment of organic soil carbon accumulation following wildfire across the Boreal Plains landscape. Peatland organic soil recovery along a chronosequence was assessed in the interior and margin of 26 ombrotrophic bogs located at various positions on the post-glaciation landscape of Northern Alberta using estimates of organic soil carbon accumulation calculated through loss on ignition of peat above the uppermost charcoal layer in peat cores from each site, as well as characterization of peat properties along a transect from the adjacent forestland into the peatland interior. Soil organic carbon accumulation with time since fire was greater in studied peatland interiors than margins. Underlying sediments were found to have little effect on total soil organic carbon accumulation in the interior and margins of the studied peatlands, indicating that organic soil carbon accumulation rates following wildfire estimated in this study can be extended to ombrotrophic bogs across the Boreal Plains landscape. Though total soil organic carbon accumulation following wildfire does not appear to be influenced by hydrogeological setting, the ability of a peatland to recover the quantity of carbon lost within the fire return interval will be dependent on the amount of carbon which was released through smouldering, which is influenced by hydrogeological setting for peatland margins. Based on published measurements of organic soil carbon loss during wildfire and organic soil carbon accumulation rates estimated in this thesis, peatlands located at topographic lows on coarse grained glaciofluvial outwash sediments or on low-relief, fine grained sediment deposits from glaciolacustrine or subglacial paleoenvironments are predicted to be resilient to wildfire on the Boreal Plains landscape. Peatlands which experience severe smouldering at the margins, such as ephemerally perched systems on glaciofluvial outwash sediments, will likely undergo permanent loss of legacy carbon stores. The resilience of peatlands which are perched above regional groundwater on glaciofluvial outwash or stagnant ice moraine deposits is unknown at this time; further investigation into water table dynamics, margin peat properties, and smouldering depths in these systems is required. Identification of peatland systems which are at risk of permanent carbon loss at the margins and those which are most resilient to wildfire in this thesis can be applied to wildfire management strategies and the design of peatland systems for reclamation of oil sands leases. The stability of natural and created peatlands through time on a landscape where wildfire is frequent is an important consideration in terms of both lasting ecosystem services and the potential risk to fire suppression and community safety that vulnerable systems pose. / Thesis / Master of Science (MSc)

Les tourbières ombrotrophes, ou bogs sont particulièrement vulnérables à l’augmentation de la déposition atmosphérique d’azote. Cet apport d’un nutriment normalement limitant altère la capacité des tourbières à accumuler le carbone (C), en plus de mener à des changements de leur composition végétale. L’imagerie spectrale est une approche prometteuse puisqu’elle rend possible la détection des espèces végétales et de certaines caractéristiques chimiques des plantes, à distance. Toutefois, l’ampleur des différences spectrales intra- et interespèces n’est pas encore connue. Nous avons évalué la façon dont la chimie, la structure et la signature spectrale des feuilles changent chez Chamaedaphne calyculata, Kalmia angustifolia, Rhododendron groenlandicum et Eriophorum vaginatum, dans trois tourbières du sud du Québec et de l’Ontario, incluant une tourbière où se déroule une expérience de fertilisation à long terme. Nous avons mesuré des changements dans les traits fonctionnels dus aux différences dans la quantité d’azote disponible dans les sites. Toutefois, la déposition atmosphérique d’azote a eu relativement peu d’effet sur les spectres foliaires ; les variations spectrales les plus importantes étaient entre les espèces. En fait, nous avons trouvé que les quatre espèces ont un spectre caractéristique, une signature spectrale permettant leur identification au moyen d’analyses discriminantes des moindres carrés partiels (PLSDA). De plus, nous avons réussi à prédire plusieurs traits fonctionnels (l’azote, le carbone ; et la proportion d’eau et de matière sèche) avec moins de 10 % d’erreur grâce à des régressions des moindres carrés partiels (PLSR) des données spectrales. Notre étude fournit de nouvelles preuves que les variations intraspécifiques, causées en partie par des variations environnementales considérables, sont perceptibles dans les spectres foliaires. Toutefois, les variations intraspécifiques n’affectent pas l’identification des espèces ou la prédiction des traits. Nous démontrons que les spectres foliaires comprennent des informations sur les espèces et leurs traits fonctionnels, confirmant le potentiel de la spectroscopie pour le suivi des tourbières. / Abstract 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. Using an integrating sphere fitted to a field spectrometer, we measured spectral properties of leaves from the four most common vascular plant species (Chamaedaphne calyculata, Kalmia angustifolia, Rhododendron groenlandicum and Eriophorum vaginatum) in three bogs in southern Québec and Ontario, Canada, exposed to different atmospheric N deposition levels, including one subjected to a 18 years 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, leaf water, and dry matter content (<10% RMSEP). However, these multi-species PLSR models were not accurate within species, where the range of values was narrow. To improve the detection of short-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-species differences due to N deposition, suggest that spectroscopy is a promising approach for assessing long-term vegetation changes in bogs subject to atmospheric pollution.