Broad whitefish, Coregonus nasus, is an important subsistence fish species in Arctic North America, yet virtually nothing is known regarding the genetic population structure of Nearctic populations of this species. In this thesis, microsatellite DNA variation was assayed among 1213 broad whitefish from 47 localities throughout North America, with emphasis on the Mackenzie River system, Northwest Territories. Specifically, I examined geographic variation in allele frequencies to assess how historical factors (Pleistocene glaciations) have shaped the current structuring of genetic variability and population differentiation. Microsatellite data was also used to resolve the relative contributions of broad whitefish populations to subsistence fisheries in the Mackenzie River system. Overall, broad whitefish exhibit relatively high intrapopulation microsatellite variation (average 12.29 alleles/locus, average HE = 0.58) and there were declines in these measures of genetic diversity with distance from putative refugia suggesting historical factors, namely post-glacial dispersal, have influenced current microsatellite variation. Interpopulation divergence was low (overall FST = 0.07), but the main regions assayed in this study (Russia, Alaska, Mackenzie River and Travaillant Lake systems) are genetically differentiated. Strong isolation-by-distance among samples was resolved when including only those populations occupying former Beringia, but not when assaying those at the periphery of the range in the Mackenzie River system, suggesting that broad whitefish in the Mackenzie system have not occupied the region long enough since their invasion post-glacially to have approached equilibrium between gene flow and drift. Mixture analysis indicated that most fish from the lower Mackenzie River subsistence fishery originated from the Peel River, highlighting the importance of this tributary. Additionally the mixture analysis provides evidence for a putative riverine life history form in the Mackenzie River. My results indicate that glaciation and post-glacial colonization have been important in shaping the current genetic population structure of North American broad whitefish. They also illustrate the utility of microsatellite DNA to delineate population structure and patterns of genetic diversity in recently founded populations in addition to resolving contributions to fisheries. My data also support the hypothesis that there are several designatable units of conservation among broad whitefish populations and that management strategies should be implemented accordingly.

Broad whitefish, Coregonus nasus, is an important subsistence fish species in Arctic North America, yet virtually nothing is known regarding the genetic population structure of Nearctic populations of this species. In this thesis, microsatellite DNA variation was assayed among 1213 broad whitefish from 47 localities throughout North America, with emphasis on the Mackenzie River system, Northwest Territories. Specifically, I examined geographic variation in allele frequencies to assess how historical factors (Pleistocene glaciations) have shaped the current structuring of genetic variability and population differentiation. Microsatellite data was also used to resolve the relative contributions of broad whitefish populations to subsistence fisheries in the Mackenzie River system. Overall, broad whitefish exhibit relatively high intrapopulation microsatellite variation (average 12.29 alleles/locus, average HE = 0.58) and there were declines in these measures of genetic diversity with distance from putative refugia suggesting historical factors, namely post-glacial dispersal, have influenced current microsatellite variation. Interpopulation divergence was low (overall FST = 0.07), but the main regions assayed in this study (Russia, Alaska, Mackenzie River and Travaillant Lake systems) are genetically differentiated. Strong isolation-by-distance among samples was resolved when including only those populations occupying former Beringia, but not when assaying those at the periphery of the range in the Mackenzie River system, suggesting that broad whitefish in the Mackenzie system have not occupied the region long enough since their invasion post-glacially to have approached equilibrium between gene flow and drift. Mixture analysis indicated that most fish from the lower Mackenzie River subsistence fishery originated from the Peel River, highlighting the importance of this tributary. Additionally the mixture analysis provides evidence for a putative riverine life history form in the Mackenzie River. My results indicate that glaciation and post-glacial colonization have been important in shaping the current genetic population structure of North American broad whitefish. They also illustrate the utility of microsatellite DNA to delineate population structure and patterns of genetic diversity in recently founded populations in addition to resolving contributions to fisheries. My data also support the hypothesis that there are several designatable units of conservation among broad whitefish populations and that management strategies should be implemented accordingly. / Science, Faculty of / Zoology, Department of / Graduate

Mercury (Hg) in rivers and streams of the Mackenzie River Basin (MRB) presents a risk to fish, aquatic mammals, and humans. This thesis makes use of newly-released water quality data, including total mercury (THg) and dissolved mercury (DHg), gathered through the NWT-Wide Community-based Water Quality Monitoring (CBM) program. Landscape metrics extracted from geospatial datasets (e.g. vegetation type cover and ground ice presence), along with the water quality parameters were transformed, as needed, and then assessed for relationships with Hg concentration in rivers using principle component analysis, correlation and linear regression. Transformed turbidity, total phosphate, total sulfate, and the 1st principle component representing total metals were positively correlated with log10 THg and log10 particulate Hg (PHg) (p < 0.05) in major tributaries on the MRB. Major tributaries had a greater proportion of THg as PHg. Dissolved organic carbon and total organic carbon were positivity correlated to log10 DHg in minor tributaries (p < 0.05) of the MRB. Logit-transformed ground ice presence was positively correlated with median log10 PHg and log10 THg (PHg; p < 0.05, THg; p < 0.05). Median log10 DHg was positively correlated with logit-transformed landcover metric mixed forest (R2 = 0.67), and negativity correlated with logit-transformed landcover metric sub-polar taiga needleleaf forest (R2 = 0.64) (p < 0.05). This suggests suspended particles, derived potentially from suspended mineral matter, kerogens, and/ or weathering of sulfides could be a control on PHg in major tributaries of the MRB, while thicker, organic soils, potentially in forested areas, releasing TOC and DOC, could control export of DHg to minor tributaries in the MRB.

The ecosystem of the high northern latitudes is affected by the recently changing environmental conditions. The Arctic has undergone a significant climatic change over the last decades. The land coverage is changing and a phenological response to the warming is apparent. Remotely sensed data can assist the monitoring and quantification of these changes. The remote sensing of the Arctic was predominantly carried out by the usage of optical sensors but these encounter problems in the Arctic environment, e.g. the frequent cloud cover or the solar geometry. In contrast, the imaging of Synthetic Aperture Radar is not affected by the cloud cover and the acquisition of radar imagery is independent of the solar illumination. The objective of this work was to explore how polarimetric Synthetic Aperture Radar (PolSAR) data of TerraSAR-X, TanDEM-X, Radarsat-2 and ALOS PALSAR and interferometric-derived digital elevation model data of the TanDEM-X Mission can contribute to collect meaningful information on the actual state of the Arctic Environment. The study was conducted for Canadian sites of the Mackenzie Delta Region and Banks Island and in situ reference data were available for the assessment. The up-to-date analysis of the PolSAR data made the application of the Non-Local Means filtering and of the decomposition of co-polarized data necessary. The Non-Local Means filter showed a high capability to preserve the image values, to keep the edges and to reduce the speckle. This supported not only the suitability for the interpretation but also for the classification. The classification accuracies of Non-Local Means filtered data were in average +10% higher compared to unfiltered images. The correlation of the co- and quad-polarized decomposition features was high for classes with distinct surface or double bounce scattering and a usage of the co-polarized data is beneficial for regions of natural land coverage and for low vegetation formations with little volume scattering. The evaluation further revealed that the X- and C-Band were most sensitive to the generalized land cover classes. It was found that the X-Band data were sensitive to low vegetation formations with low shrub density, the C-Band data were sensitive to the shrub density and the shrub dominated tundra. In contrast, the L-Band data were less sensitive to the land cover. Among the different dual-polarized data the HH/VV-polarized data were identified to be most meaningful for the characterization and classification, followed by the HH/HV-polarized and the VV/VH-polarized data. The quad-polarized data showed highest sensitivity to the land cover but differences to the co-polarized data were small. The accuracy assessment showed that spectral information was required for accurate land cover classification. The best results were obtained when spectral and radar information was combined. The benefit of including radar data in the classification was up to +15% accuracy and most significant for the classes wetland and sparse vegetated tundra. The best classifications were realized with quad-polarized C-Band and multispectral data and with co-polarized X-Band and multispectral data. The overall accuracy was up to 80% for unsupervised and up to 90% for supervised classifications. The results indicated that the shortwave co-polarized data show promise for the classification of tundra land cover since the polarimetric information is sensitive to low vegetation and the wetlands. Furthermore, co-polarized data provide a higher spatial resolution than the quad-polarized data. The analysis of the intermediate digital elevation model data of the TanDEM-X showed a high potential for the characterization of the surface morphology. The basic and relative topographic features were shown to be of high relevance for the quantification of the surface morphology and an area-wide application is feasible. In addition, these data were of value for the classification and delineation of landforms. Such classifications will assist the delineation of geomorphological units and have potential to identify locations of actual and future morphologic activity. / Die polaren Regionen der Erde zeigen eine hohe Sensitivität gegenüber dem aktuell stattfindenden klimatischen Wandel. Für den Raum der Arktis wurde eine signifikante Erwärmung der Landoberfläche beobachtet und zukünftige Prognosen zeigen einen positiven Trend der Temperaturentwicklung. Die Folgen für das System sind tiefgehend, zahlreich und zeigen sich bereits heute - beispielsweise in einer Zunahme der photosynthetischen Aktivität und einer Verstärkung der geomorphologischen Dynamik. Durch satellitengestützte Fernerkundungssysteme steht ein Instrumentarium bereit, welches in der Lage ist, solch großflächigen und aktuellen Änderungen der Landoberfläche nachzuzeichnen und zu quantifizieren. Insbesondere optische Systeme haben in den vergangen Jahren ihre hohe Anwendbarkeit für die kontinuierliche Beobachtung und Quantifizierung von Änderungen bewiesen, bzw. durch sie ist ein Erkennen der Änderungen erst ermöglicht worden. Der Nutzen von optischen Systemen für die Beobachtung der arktischen Landoberfläche wird dabei aber durch die häufige Beschattung durch Wolken und die Beleuchtungsgeometrie erschwert, bzw. unmöglich gemacht. Demgegenüber eröffnen bildgebende Radarsystem durch die aktive Sendung von elektromagnetischen Signalen die Möglichkeit kontinuierlich Daten über den Zustand der Oberfläche aufzuzeichnen, ohne von den atmosphärischen oder orbitalen Bedingungen abhängig zu sein. Das Ziel der vorliegenden Arbeit war es den Nutzen und Mehrwert von polarimetrischen Synthetic Aperture Radar (PolSAR) Daten der Satelliten TerraSAR-X, TanDEM-X, Radarsat-2 und ALOS PALSAR für die Charakterisierung und Klassifikation der arktischen Landoberfläche zu identifizieren. Darüber hinaus war es ein Ziel das vorläufige interferometrische digitale Höhenmodel der TanDEM-X Mission für die Charakterisierung der Landoberflächen-Morphologie zu verwenden. Die Arbeiten erfolgten hauptsächlich an ausgewählten Testgebieten im Bereich des kanadischen Mackenzie Deltas und im Norden von Banks Islanld. Für diese Regionen standen in situ erhobene Referenzdaten zur Landbedeckung zur Verfügung. Mit Blick auf den aktuellen Stand der Forschung wurden die Radardaten mit einem entwickelten Non-Local-Means Verfahren gefiltert. Die co-polarisierten Daten wurde zudem mit einer neu entwickelten zwei Komponenten Dekomposition verarbeitet. Das entwickelte Filterverfahren zeigt eine hohe Anwendbarkeit für alle Radardaten. Der Ansatz war in der Lage die Kanten und Grauwerte im Bild zu erhalten, bei einer gleichzeitigen Reduktion der Varianz und des Speckle-Effekts. Dies verbesserte nicht nur die Bildinterpretation, sondern auch die Bildklassifikation und eine Erhöhung der Klassifikationsgüte von ca. +10% konnte durch die Filterung erreicht werden. Die Merkmale der Dekomposition von co-polarisierten Daten zeigten eine hohe Korrelation zu den entsprechenden Merkmalen der Dekomposition von voll-polarisierten Daten. Die Korrelation war besonders hoch für Landbedeckungstypen, welche eine double oder single bounce Rückstreuung hervorrufen. Eine Anwendung von co-polarisierten Daten ist somit besonders sinnvoll und aussagekräftig für Landbedeckungstypen, welche nur einen geringen Teil an Volumenstreuung bedingen. Die vergleichende Auswertung der PolSAR Daten zeigte, dass sowohl X- als auch C-Band Daten besonders sensitiv für die untersuchten Landbedeckungsklassen waren. Die X-Band Daten zeigten die höchste Sensitivität für niedrige Tundrengesellschaften. Die C-Band Daten zeigten eine höhere Sensitivität für mittelhohe Tundrengesellschaften und Gebüsch (shrub). Die L-Band Daten wiesen im Vergleich dazu die geringste Sensitivität für die Oberflächenbedeckung auf. Ein Vergleich von verschiedenen dual-polarisierten Daten zeigte, dass die Kanalkombination HH/VV die beste Differenzierung der Landbedeckungsklassen lieferte. Weniger deutlich war die Differenzierung mit den Kombinationen HH/HV und VV/VH. Insgesamt am besten waren jedoch die voll-polarisierten Daten geeignet, auch wenn die Verbesserung im Vergleich zu den co-polarisierten Daten nur gering war. Die Analyse der Klassifikationsgenauigkeiten bestätigte dieses Bild, machte jedoch deutlich, dass zu einer genauen Landbedeckungsklassifikation die Einbeziehung von multispektraler Information notwendig ist. Eine Nutzung von voll-polarisierten C-Band und multispektralen Daten erbrachte so eine mittlere Güte von ca. 80% für unüberwachte und von ca. 90% für überwachte Klassifikationsverfahren. Ähnlich hohe Werte wurden für die Kombination von co-polarisierten X-Band und multispektralen Daten erreicht. Im Vergleich zu Klassifikation die nur auf Grundlage von multispektralen Daten durchgeführt wurden, erbrachte die Einbeziehung der polarisierten Radardaten eine zusätzliche durchschnittliche Klassifikationsgüte von ca. +15%. Der Zugewinn und die Möglichkeit zur Differenzierung war vor allem für die Bedeckungstypen der Feuchtgebiete (wetlands) und der niedrigen Tundrengesellschaften festzustellen. Die Analyse der digitalen Höhenmodelle zeigte ein hohes Potential der TanDEM-X Daten für die Charakterisierung der topographischen Gegebenheiten. Die aus den Daten abgeleiteten absoluten und relativen topographischen Merkmale waren für eine morphometrische Quantifizierung der Landoberflächen-Morphologie geeignet. Zudem konnten diese Merkmale auch für eine initiale Klassifikation der Landformen genutzt werden. Die Daten zeigten somit ein hohes Potential für die Unterstützung der geomorphologischen Kartierung und für die Identifizierung der aktuellen und zukünftigen Dynamik der Landoberfläche.

Oil and gas exploration conducted in the 1970s left behind a legacy of abandoned well sites in the Mackenzie Delta region of northern Canada, including several in the Kendall Island Migratory Bird Sanctuary and surrounding areas. Evidence of 30 year-old well sites is present in the form of drilling mud sumps, which are mounds of disturbed tundra that contain frozen drilling-wastes. One to two years after the wells were decommissioned some of the sites were seeded with non-native grass species and fertilized to test whether these treatments could accelerate vegetation recovery and prevent erosion. The main objective of this research was to examine the long-term impact of post-disturbance seeding treatments on the vegetation recovery of drilling mud sumps.<p> Surveys of vegetation composition and environmental conditions at 12 sump sites (6 seeded and 6 unseeded) showed that, after over 30 years of recovery, seeded sumps in the Mackenzie Delta did not significantly differ from those left for natural recovery. However, seeded and previously introduced grasses <i>Festuca rubra</i> and <i>Poa pratensis</i> were found on both seeded and unseeded sumps. The undisturbed surrounding tundra seems to be resistant to invasion by these introduced grasses. However, these species could become invasive in the future, particularly in the context of warming in the North and increasing anthropogenic disturbance. The results of this study contribute valuable information on the long-term effects of revegetation treatments that is critical for making informed management decisions about the rehabilitation of industrial disturbances in the Arctic.

Oil and gas exploration conducted in the 1970s left behind a legacy of abandoned well sites in the Mackenzie Delta region of northern Canada, including several in the Kendall Island Migratory Bird Sanctuary and surrounding areas. Evidence of 30 year-old well sites is present in the form of drilling mud sumps, which are mounds of disturbed tundra that contain frozen drilling-wastes. One to two years after the wells were decommissioned some of the sites were seeded with non-native grass species and fertilized to test whether these treatments could accelerate vegetation recovery and prevent erosion. The main objective of this research was to examine the long-term impact of post-disturbance seeding treatments on the vegetation recovery of drilling mud sumps.<p> Surveys of vegetation composition and environmental conditions at 12 sump sites (6 seeded and 6 unseeded) showed that, after over 30 years of recovery, seeded sumps in the Mackenzie Delta did not significantly differ from those left for natural recovery. However, seeded and previously introduced grasses <i>Festuca rubra</i> and <i>Poa pratensis</i> were found on both seeded and unseeded sumps. The undisturbed surrounding tundra seems to be resistant to invasion by these introduced grasses. However, these species could become invasive in the future, particularly in the context of warming in the North and increasing anthropogenic disturbance. The results of this study contribute valuable information on the long-term effects of revegetation treatments that is critical for making informed management decisions about the rehabilitation of industrial disturbances in the Arctic.

Soil moisture plays a major role in the hydrologic water balance and is the basis for most hydrological models. It influences the partitioning of energy and moisture inputs at the land surface. Because of its importance, it has been used as a key variable for many hydrological studies such as flood forecasting, drought studies and the determination of groundwater recharge. Therefore, spatially distributed soil moisture with reasonable temporal resolution is considered a valuable source of information for hydrological model parameterization and validation. Unfortunately, soil moisture is difficult to measure and remains essentially unmeasured over spatial and temporal scales needed for a number of hydrological model applications. In 2002, the Gravity Recovery And Climate Experiment (GRACE) satellite platform was launched to measure, among other things, the gravitational field of the earth. Over its life span, these orbiting satellites have produced time series of mass changes of the earth-atmosphere system. The subsequent outcome of this, after integration over a number of years, is a time series of highly refined images of the earth's mass distribution. In addition to quantifying the static distribution of mass, the month-to-month variation in the earth's gravitational field are indicative of the integrated value of the subsurface total water storage for specific catchments. Utilization of these natural changes in the earth's gravitational field entails the transformation of the derived GRACE geopotential spherical harmonic coefficients into spatially varying time series estimates of total water storage. These remotely sensed basin total water storage estimates can be routinely validated against independent estimates of total water storage from an atmospheric-based water balance approach or from well calibrated macroscale hydrologic models. The hydrological relevance and implications of remotely estimated GRACE total water storage over poorly gauged, wetland-dominated watershed as well as over a deltaic region underlain by a thick sand aquifer in Western Canada are the focus of this thesis. The domain of the first case study was the Mackenzie River Basin wherein the GRACE total water storage estimates were successfully inter-compared and validated with the atmospheric based water balance. These were then used to assess the WATCLASS hydrological model estimates of total water storage. The outcome of this inter-comparison revealed the potential application of the GRACE-based approach for the closure of the hydrological water balance of the Mackenzie River Basin as well as a dependable source of data for the calibration of traditional hydrological models. The Mackenzie River Basin result led to a second case study where the GRACE-based total water storage was validated using storage estimated from the atmospheric-based water balance P-E computations in conjunction with the measured streamflow records for the Saskatchewan River Basin at its Grand Rapids outlet in Manitoba. The fallout from this comparison was then applied to the characterization of the Prairie-wide 2002/2003 drought enabling the development of a new drought index now known as the Total Storage Deficit Index (TSDI). This study demonstrated the potential application of the GRACE-based technique as a tool for drought characterization in the Canadian Prairies. Finally, the hydroinformatic approach based on the artificial neural network (ANN) enabled the downscaling of the groundwater component from the total water storage estimate from the remote sensing satellite, GRACE. This was subsequently explored as an alternate source of calibration and validation for a hydrological modeling application over the Assiniboine Delta Aquifer in Manitoba. Interestingly, a high correlation exists between the simulated groundwater storage from the coupled hydrological model, CLM-PF and the downscaled groundwater time series storage from the remote sensing satellite GRACE over this 4,000 km2 deltaic basin in Canada.

Soil moisture plays a major role in the hydrologic water balance and is the basis for most hydrological models. It influences the partitioning of energy and moisture inputs at the land surface. Because of its importance, it has been used as a key variable for many hydrological studies such as flood forecasting, drought studies and the determination of groundwater recharge. Therefore, spatially distributed soil moisture with reasonable temporal resolution is considered a valuable source of information for hydrological model parameterization and validation. Unfortunately, soil moisture is difficult to measure and remains essentially unmeasured over spatial and temporal scales needed for a number of hydrological model applications. In 2002, the Gravity Recovery And Climate Experiment (GRACE) satellite platform was launched to measure, among other things, the gravitational field of the earth. Over its life span, these orbiting satellites have produced time series of mass changes of the earth-atmosphere system. The subsequent outcome of this, after integration over a number of years, is a time series of highly refined images of the earth's mass distribution. In addition to quantifying the static distribution of mass, the month-to-month variation in the earth's gravitational field are indicative of the integrated value of the subsurface total water storage for specific catchments. Utilization of these natural changes in the earth's gravitational field entails the transformation of the derived GRACE geopotential spherical harmonic coefficients into spatially varying time series estimates of total water storage. These remotely sensed basin total water storage estimates can be routinely validated against independent estimates of total water storage from an atmospheric-based water balance approach or from well calibrated macroscale hydrologic models. The hydrological relevance and implications of remotely estimated GRACE total water storage over poorly gauged, wetland-dominated watershed as well as over a deltaic region underlain by a thick sand aquifer in Western Canada are the focus of this thesis. The domain of the first case study was the Mackenzie River Basin wherein the GRACE total water storage estimates were successfully inter-compared and validated with the atmospheric based water balance. These were then used to assess the WATCLASS hydrological model estimates of total water storage. The outcome of this inter-comparison revealed the potential application of the GRACE-based approach for the closure of the hydrological water balance of the Mackenzie River Basin as well as a dependable source of data for the calibration of traditional hydrological models. The Mackenzie River Basin result led to a second case study where the GRACE-based total water storage was validated using storage estimated from the atmospheric-based water balance P-E computations in conjunction with the measured streamflow records for the Saskatchewan River Basin at its Grand Rapids outlet in Manitoba. The fallout from this comparison was then applied to the characterization of the Prairie-wide 2002/2003 drought enabling the development of a new drought index now known as the Total Storage Deficit Index (TSDI). This study demonstrated the potential application of the GRACE-based technique as a tool for drought characterization in the Canadian Prairies. Finally, the hydroinformatic approach based on the artificial neural network (ANN) enabled the downscaling of the groundwater component from the total water storage estimate from the remote sensing satellite, GRACE. This was subsequently explored as an alternate source of calibration and validation for a hydrological modeling application over the Assiniboine Delta Aquifer in Manitoba. Interestingly, a high correlation exists between the simulated groundwater storage from the coupled hydrological model, CLM-PF and the downscaled groundwater time series storage from the remote sensing satellite GRACE over this 4,000 km2 deltaic basin in Canada.

Mercury, Hg, is found in Arctic biota in alarming quantity, posing a potential health risk for the local population. It is believed that the large Arctic rivers contribute to this. The Mackenzie River annually transports approximately 325 km3 water to the Arctic Ocean, which is ca 10% of the freshwater received. The annual water flow also transports ca 2 ton of Hg. In order to investigate the source of Hg within the Mackenzie River Basin and the path of transport, a hydro-chemical river mixing model is constructed using field data gathered in summer 2018 and publicly available data. However, since the Hg concentration is very low in the river water and it is known that Hg binds very strongly to dissolved organic carbon (DOC) and particulate organic carbon (POC), both DOC and POC are utilized instead as proxies for Hg. The purpose of the model is to allow for estimations to be made of the relative contributions of different sub-basins and effluents to the total outflow of (e.g.) DOC at the mouth of the Mackenzie River, based on limited hydrographic and riverine water quality data. The model was used to estimate the mixing of DOC and POC sources for summer 2018 as an initial test of its performance. It performs adequately as it can estimate the amount of water discharge and DOC/TOC (total organic carbon) load that each node contributes to the Mackenzie River. The results from the model suggest that the contribution of organic carbon from each sub-watershed is not solely dependent on either drainage area size or water discharge; additionally, it appears to be determined by the local environment and geology. Water from catchment areas containing peatlands have high DOC content, and water passing through regions with coal layers have high POC content. The loss of POC towards the end of the model coincides well with the expected deceleration of the water discharge entering the Mackenzie River delta. It is concluded that the model should be useful for the study of Hg origin and transport in the Mackenzie River. Also, it has the potential for being a starting point for a more advanced or predictive model. / Varje år levereras stora mängder kvicksilver till det Arktiska havet. Kvicksilver är ett välkänt miljögift, tungmetall, och har kapaciteten att ackumuleras i näringskedjan.Kring Arktiska havet finns det ett flertal bosättningar där innevånarna får sin näring främst från havet och denna befolkning riskerar att bli påverkad av kvicksilverhalten i deras mat.Mackenziefloden mynnar ut i det Arktiska havet i norra Kanada. Med ett vattenflöde av ca 325 km3 vatten per år och ett avrinningsområde på 1.8 miljoner km2 bidrar Mackenziefloden med ca 10% av färskvattentillförseln till Arktiska havet. Det är också uppskattat att ca 2 ton av kvicksilver transporteras via Mackenziefloden.För att kartlägga flödet och ursprunget av kvicksilver används prover tagna i fält 2018 och allmänt tillgängliga data. Från det konstrueras en modell som kartlägger flödet och ursprung av partikulärt och kemiskt löst kol. Förekomsten av partikulärt och kemiskt löst kol är relaterat till förekomst av kvicksilver och är betydligt enklare att mäta.Tillsammans med data på flödeshastighet, tagna från existerande mätstationer, används provresultaten till att etablera en serie av punkter som kommer att representera de olika delarna av Mackenzieflodens dräneringsområde. På detta sätt kan de olika förgreningarna som mynnar ut i Mackenziefloden observeras var och en för sig, vilket gör det lättare att se vilka områden som tillför partikulärt och kemiskt löst kol och i vilka mängder.Det är föga förvånande att de stora floderna, så som Liardfloden och Peelfloden, är bland de största bidragarna av kol, både partikulärt och kemiskt löst. Nära Mackenzieflodens utlopp kan man se att mängden partikulärt kol i suspension avtar, i samband med att flödeshastigheten minskar och partiklar börjar att fällas ut då floden mynnar ut i deltat.Resultaten i den här studien visar en väldigt hög masstransport (i kg/km2/31d), gentemot tidigare observationer. Detta är dock orsakat av att fältproverna som använts här är tagna under en kort period väldigt nära vårfloden, vilket får de dagliga värdena att se väldigt stora ut. Dessa värden är dock bara aktuella en kortare tid och avtar resten av året.Denna modell utgör en potentiell bas för vidare studie av kol och kvicksilverförekomst i Mackenzieflodens avrinningsområde och eventuellt även för andra floder givet tillgängliga data.

In the Beaufort Sea, freshwater input from the Mackenzie River creates a relatively warm and turbid plume across the coastal shelf region. To determine the effects of the Mackenzie River plume on marine larval fish abundance, distribution and assemblages; this study sampled larval fish by using 500 μm bongo nets and obtaining oceanographic measurements across the plume gradient during July and August of 2007. Three larval fish assemblages were identified within three water masses: the intense plume assemblage was dominated by Pacific herring (Clupea pallasii pallasii), the diffuse plume assemblage was dominated by the sub-family Lumpeninae and the oceanic assemblage was dominated by Arctic cod (Boreogadus saida). Also, results revealed that there were no significant differences in the total larval fish abundances within these water masses. In conclusion, this study suggests that the Mackenzie River plume might be identified as an Ecologically and Biologically Significant Area (EBSA), based on the uniqueness criteria under Canada’s coastal conservation strategy.