O efeito de alterações climáticas sobre os micro-organismos ainda é incerto, pois pouco se conhece sobre as espécies que habitam regiões extremas como o gelo, solo antártico, e o solo permanentemente congelado (permafrost). O permafrost tem como característica a preservação de material biológico por milhões de anos, servindo como fonte para estudos de evolução e biogeografia de micro-organismos. O objetivo deste trabalho foi estudar a diversidade microbiana em amostras de gelo, solo exposto por recuo de geleira e permafrost polares, e a diversidade funcional do gene alcano monoxigenase (alk). Métodos independentes de cultivo baseados no gene 16S rRNA foram utilizados, como DGGE, clonagem e pirossequenciamento. As geleiras da Ilha Rei George (Península Antártica) e do Pólo Sul Geográfico possuem cerca de 3.104 cél./mL e são compostas por micro-organismos diferentes, com predominância dos Filos Proteobacteria, Actinobacteria, Firmicutes e Cyanobacteria, muitos dos quais já descritos em outros ambientes criogênicos. O solo em frente à geleira Baranowski apresenta uma estrutura de comunidade diferente do gelo. O solo exposto por recuo de geleira apresenta uma sucessão ecológica, com predominância de heterotróficas durante todo o processo. Fixadores de nitrogênio no solo foram compostos por cianobactérias no início, e por Rhodopseudomonas e Rhodobacter no final da sucessão. Estes resultados foram melhor observados com o pirossequenciamento. As mudanças observadas podem estar relacionadas ao aumento de K, Mg+, NH4+, NO3- e/ou CO2 detectados após 15-20 anos de exposição do solo. A comunidade de permafrosts varia com o local e a idade de congelamento (de 5.000 a 8 milhões de anos). O gene alkM foi detectado em permafrosts do Ártico com 3 milhões de anos, e o gene alkB em amostras do Ártico com 15.000 e 120.000 anos, e em solos modernos da Antártica. Alguns clones indicam que podem representar novos genes para alcano monoxigenases. As contribuições deste projeto abrangem os objetivos do Ano Polar Internacional (IPY 2007-2009), sobretudo na avaliação da ecologia microbiana da Antártica. / The effect of climate changes on microorganisms is still unclear, because little is known about the species that inhabit the extreme regions as the glacial ice, antarctic soils and the permanently frozen soil (permafrost). The permafrost is able to preserve the sedimented biological materials by thousands or even millions of years, being an important source for microbiological studies. The objective was to study the microbial diversity in cryogenic samples: glacial ice, soil exposed by glacial retreat and polar permafrosts, as well as to study the functional diversity of alkane monooxygenase genes (alk) in the permafrost. Cultivationindependent methods based on the 16S rRNA gene were used, as DGGE, clone library and 454 Pyrosequencing. Analysis of the King George Island (Antarctic Peninsula) glaciers and the South Pole ice revealed about 3x104 cells/mL each, and different micro-organisms were detected, predominantly members from Proteobacteria, Actinobacteria, Firmicutes and Cyanobacteria, many of which already described in other cryogenic environments. The soil in front of the Baranowski Glacier has a different community structure compared with the ice. Soils exposed by glacier retreat revealed an ecological succession, and heterotrophic bacteria occurred all through the process. Nitrogen-fixing populations were composed by cyanobacteria at the early stages, and shifted to Rhodopseudomonas and Rhodobacter in the older soils. The observed changes may be related to an increase of K, Mg+, NH4 +, NO3- and/or CO2, detected after 15-20 years of soil exposure. The community of permafrosts varies by location and age (5,000 - 8 millions of years). The alkM gene was detected in old Arctic permafrosts (3 millions of years), while alkB genes were found on Arctic samples from 15,000 to 120,000 years, and in Antarctic modern soils. Some of these clones may represent new alk genes. The contributions of this project covers the goals of the International Polar Year (IPY 2007-2009), particularly in assessing the microbial ecology of Antarctica.

Datainsamling har genomförts i Tarfaladalen under 5 dagar vid månadsskiftet mellan mars och april 2017. Insamlingen resulterade i 36 BTS-mätningar (Bottom Temperature of Snow cover) som därefter har använts tillsammans med data från tidigare insamlingar, till att skapa en sammanställd modell över förekomsten av permafrost omkring Tarfala. En statistisk undersökning syftade till att identifiera meningsfulla parametrar som permafrost beror av, genom att testa de oberoende variablerna mot BTS i en stegvis regression. De oberoende faktorerna höjd över havet, aspekt, solinstrålning, vinkel och gradient hos sluttningar producerades för varje undersökt BTS-punkt i ett geografiskt informationssystem.                 Den stegvisa regressionen valde enbart höjden som signifikant variabel, höjden användes i en logistisk regression för att modellera permafrostens utbredning. Den slutliga modellen visade att permafrostens sannolikhet ökar med höjden. För att skilja mellan kontinuerlig, diskontinuerlig och sporadisk permafrost delades modellen in i tre zoner med olika sannolikhetsspann. Den kontinuerliga permafrosten är högst belägen och därav den zon där sannolikheten för permafrost är störst, denna zon gränsar till den diskontinuerliga permafrosten vid en höjd på 1523 m. Den diskontinuerliga permafrosten har en sannolikhet mellan 50–80 % och dess undre gräns på 1108 m.ö.h. separerar den diskontinuerliga zonen från den sporadiska permafrosten / A field data collection has been carried out in Tarfala valley at the turn of March to April 2017. The collection resulted in 36 BTS-measurements (Bottom Temperature of Snow cover) that has been used in combination with data from earlier surveys, to create a model of the occurrence of permafrost around Tarfala. To identify meaningful parameters that permafrost relies on, independent variables were tested against BTS in a stepwise regression. The independent variables elevation, aspect, solar radiation, slope angle and curvature were produced for each investigated BTS-point in a geographic information system.                 The stepwise regression selected elevation as the only significant variable, elevation was applied to a logistic regression to model the permafrost occurrence. The final model showed that the probability of permafrost increases with height. To distinguish between continuous, discontinuous and sporadic permafrost, the model was divided into three zones with intervals of probability. The continuous permafrost is the highest located zone and therefore has the highest likelihood, this zone delimits the discontinuous permafrost at 1523 m a.s.l. The discontinuous permafrost has probabilities between 50-80 % and its lower limit at 1108 m a.s.l. separates the discontinuous zone from the sporadic permafrost.

24 % of the Northern Hemisphere’s landmass is underlain by permafrost. 1 700 billion tonnes of organic carbon (C) is stored in the permafrost, and the ongoing climate change lead to permafrost thawing and carbon release. This study examines the extent of thawing permafrost and the estimated carbon emissions as a consequence of permafrost thawing. The results show an estimated decrease of near-surface permafrost up to 81% before 2100 due to an increase of the average global temperature. Thawing permafrost releases CO2 and CH4 to the atmosphere, which amplifies the greenhouse effect and creates a positive feedback to global warming. The magnitude of the positive feedback is uncertain but an average of 178 Pg C is expected to release to the atmosphere by 2100 if the anthropogenic emissions continues. A potential increase in biomass due to favorable growing conditions is not expected to offset the carbon emissions.

Basal Temperature of Snow (BTS) measurements were used as the primary inputs to a high resolution (30 x 30 m grid cells) empirical-statistical regional permafrost probability model for the southern and central Yukon, and northernmost British Columbia (59° - 65°N). Data from seven individual study areas distributed across the region were combined using a blended distance decay technique, with an eighth area used for validation. The model predictions are reasonably consistent with previous permafrost maps for the area with some notable differences and a much higher level of detail. The modelling gives an overall permafrost probability of 52%. North of 62°N, permafrost becomes more extensive in the lowland areas whereas farther south permafrost is typically common only above treeline. Significant differences exist between the mountain environments of the Yukon and the Swiss Alps where the BTS method originated and as a result different modelling approaches had to be developed. This work therefore: (1) develops additional explanatory variables for permafrost probability modelling, the most notable of which is equivalent elevation, (2) confirms the use of ground truthing as a requirement for empirical-statistical modelling in the Yukon and (3) uses a combination of models for the region in order to spatially predict between study areas. The results of this thesis will be of use to linear infrastructure route-planning, geohazard assessment and climate change adaptation strategies. Future work employing the model will allow the effects of scenario-based climate warming to be examined.

Basal Temperature of Snow (BTS) measurements were used as the primary inputs to a high resolution (30 x 30 m grid cells) empirical-statistical regional permafrost probability model for the southern and central Yukon, and northernmost British Columbia (59° - 65°N). Data from seven individual study areas distributed across the region were combined using a blended distance decay technique, with an eighth area used for validation. The model predictions are reasonably consistent with previous permafrost maps for the area with some notable differences and a much higher level of detail. The modelling gives an overall permafrost probability of 52%. North of 62°N, permafrost becomes more extensive in the lowland areas whereas farther south permafrost is typically common only above treeline. Significant differences exist between the mountain environments of the Yukon and the Swiss Alps where the BTS method originated and as a result different modelling approaches had to be developed. This work therefore: (1) develops additional explanatory variables for permafrost probability modelling, the most notable of which is equivalent elevation, (2) confirms the use of ground truthing as a requirement for empirical-statistical modelling in the Yukon and (3) uses a combination of models for the region in order to spatially predict between study areas. The results of this thesis will be of use to linear infrastructure route-planning, geohazard assessment and climate change adaptation strategies. Future work employing the model will allow the effects of scenario-based climate warming to be examined.

Basal Temperature of Snow (BTS) measurements were used as the primary inputs to a high resolution (30 x 30 m grid cells) empirical-statistical regional permafrost probability model for the southern and central Yukon, and northernmost British Columbia (59° - 65°N). Data from seven individual study areas distributed across the region were combined using a blended distance decay technique, with an eighth area used for validation. The model predictions are reasonably consistent with previous permafrost maps for the area with some notable differences and a much higher level of detail. The modelling gives an overall permafrost probability of 52%. North of 62°N, permafrost becomes more extensive in the lowland areas whereas farther south permafrost is typically common only above treeline. Significant differences exist between the mountain environments of the Yukon and the Swiss Alps where the BTS method originated and as a result different modelling approaches had to be developed. This work therefore: (1) develops additional explanatory variables for permafrost probability modelling, the most notable of which is equivalent elevation, (2) confirms the use of ground truthing as a requirement for empirical-statistical modelling in the Yukon and (3) uses a combination of models for the region in order to spatially predict between study areas. The results of this thesis will be of use to linear infrastructure route-planning, geohazard assessment and climate change adaptation strategies. Future work employing the model will allow the effects of scenario-based climate warming to be examined.

Basal Temperature of Snow (BTS) measurements were used as the primary inputs to a high resolution (30 x 30 m grid cells) empirical-statistical regional permafrost probability model for the southern and central Yukon, and northernmost British Columbia (59° - 65°N). Data from seven individual study areas distributed across the region were combined using a blended distance decay technique, with an eighth area used for validation. The model predictions are reasonably consistent with previous permafrost maps for the area with some notable differences and a much higher level of detail. The modelling gives an overall permafrost probability of 52%. North of 62°N, permafrost becomes more extensive in the lowland areas whereas farther south permafrost is typically common only above treeline. Significant differences exist between the mountain environments of the Yukon and the Swiss Alps where the BTS method originated and as a result different modelling approaches had to be developed. This work therefore: (1) develops additional explanatory variables for permafrost probability modelling, the most notable of which is equivalent elevation, (2) confirms the use of ground truthing as a requirement for empirical-statistical modelling in the Yukon and (3) uses a combination of models for the region in order to spatially predict between study areas. The results of this thesis will be of use to linear infrastructure route-planning, geohazard assessment and climate change adaptation strategies. Future work employing the model will allow the effects of scenario-based climate warming to be examined.

L’environnement périglaciaire en général et les régions de permafrost en particulier, connus pour être très sensibles au changement climatique actuel, sont le sujet de beaucoup d’études sur les émissions de gaz à effet de serre. En effet, le dégel de ces milieux engendre la mobilisation d’une quantité importante de matière organique, précédemment piégée par le froid, favorisant les émissions de dioxyde de carbone et/ou de méthane. L’objectif premier, du présent travail, est de contribuer à l’étude des gaz enfermés dans certains types de glace de ces régions afin de mieux quantifier leur impact potentiel sur le climat.<p>Dans un premier temps, une analyse multiparamétrique a été menée sur deux coins de glace du nord de la Sibérie dans la cadre d’une collaboration avec l’Alfred Wegener Institut (Allemagne). Cette première approche a révélé que l’analyse conjointe de la cristallographie, de l’orientation des axes optiques, du contenu en gaz total et de la composition en gaz des coins de glace est un outil puissant, complémentaire aux analyses des isotopes stables, pour comprendre les conditions paléo-climatiques qui ont régi la construction des coins de glace. Cette étude soutient également l’hypothèse de variations spatiales importantes de l’origine des masses d’air durant les variations climatiques du Pléistocène.<p>Dans un deuxième temps, une analyse des caractéristiques de la glace annuelle de 4 lacs du nord de la Suède a été réalisée afin d’étudier le rôle de la couverture de glace sur les émissions de gaz à effet de serre. En effet, les lacs de ces régions contribuent fortement aux émissions de méthane durant la période d’eau libre et très peu d’études ont analysé la quantité de méthane emprisonnée dans la glace hivernale et relâchée au printemps. Ce projet nous a amené à établir une nouvelle classification des bulles dans la glace de lac basée sur leur contenu en méthane, leur origine, leur forme et leur densité. Il nous a également permis de montrer que plusieurs facteurs interviennent sur le contenu en gaz dans la couverture de glace :le système hydrologique, la variation de la pression atmosphérique, la variabilité des émissions et potentiellement la proximité des sédiments sont autant de facteurs qui déterminent le contenu en gaz. L’analyse de la composition des gaz a révélé que la composition observée dans la glace est sensiblement différente de celle observée durant les périodes d’eau libre. Nous avons également, pour la première fois, établit un budget des émissions de méthane relâchées par la fonte de la couverture de glace au niveau mondial.<p>Cette étude a été complétée par l’analyse des isotopes 13C des gaz des différents types de bulles de notre classification en collaboration avec l’Université d’Utrecht. Nous avons alors mis en évidence que la couverture de glace influence l’équilibre biogéochimique dans l’eau en favorisant l’oxydation du méthane en dioxyde de carbone.<p> / Doctorat en Sciences / info:eu-repo/semantics/nonPublished

Die Arktis erwärmt sich mehr als 3x so schnell wie der globale Durchschnitt, was zu Permafrostdegradation führt. Permafrostdegradation führt zu einer Absenkung des Bodens mit erheblichen Veränderungen der Landoberfläche (VdL), die tiefgreifende ökologische Folgen haben und Infrastruktur-Stabilität bedrohen. Fernerkundungsdaten ermöglichen die Erkundung von VdL und Störungen in weiten Regionen. Erste Anzeichen von Permafrostdegradation zu detektieren, bleibt jedoch eine Herausforderung auf Grund ihrer kleinen räumlichen Skalen und hohen zeitlichen Variabilität. Die zunehmende Verfügbarkeit hochauflösender Bilddaten erfordert zudem nachhaltige Ansätze für deren effiziente Verarbeitung. Auch ist es wichtig, die Anfälligkeit von Infrastruktur im Kontext dieser VdL und die potenziellen ökologischen Folgen im Falle eines Infrastruktur-Versagens zu verstehen. Meine Dissertation widmete sich diesen Herausforderungen am Beispiel Alaskas (U.S.A.). Die drei Studien hatten folgende Ziele: (i) Erkennung und Quantifizierung von VdL, im Kontext von Permafrostdegradation, unter Nutzung hochauflösender Fernerkundungsdaten und Bewertung ihrer Bedrohung für Infrastruktur und (ii) Identifizierung von Infrastrukturelementen mit entscheidender Bedeutung für die Bevölkerung Alaskas, um deren Anfälligkeit für Permafrostdegradation einschätzen zu können. Das Ergebnis sind (i) zwei skalierbare, weitgehend automatisierte, leicht zugängliche methodische Rahmen, die erfolgreich VdL und Erosionsprozesse an Seeufern erkennen und quantifizieren. Außerdem erstellte ich (ii) ein umfassendes Inventar kritischer Infrastruktur und vom Menschen beeinflusster Gebiete, das über industrielle und wirtschaftliche Bedeutung hinausgeht. Dieses Inventar beruht auf der Integration verschiedener Quellen, wodurch eine eingehende Analyse der Anfälligkeit der Infrastruktur für Permafrostdegradation und ökologischen Folgen möglich wird, die im Falle eines Versagens der Infrastruktur entstehen können. / The Arctic is warming more than 3x faster than the global average, leading to permafrost degradation. When permafrost thaws, it results in ground subsidence and causes substantial land surface changes, which have profound ecological consequences and pose a threat to infrastructure stability. Remote sensing data allows us to explore land surface changes and disturbances across regions, yet early detection of permafrost degradation remains challenging due to its small-scale occurrence and high temporal variability. Further, the increasing availability of high-resolution imagery requires a sustainable framework to efficiently process these data. Also, it is essential to understand the vulnerability of infrastructure in context of these land surface changes and the potential ecological consequences that may arise in the event of infrastructure failure. In my thesis, I addressed these challenges focusing on the U.S. state of Alaska. I conducted three studies with the objectives to (i) detecting and quantifying the trajectories of land surface changes attributed to permafrost degradation using very high-resolution remote sensing data and assessing their threat to infrastructure, and (ii) identifying infrastructure elements critical to the Alaskan population to allow an estimation of their vulnerability to permafrost degradation. As a result of my research, I developed (i) two scalable, widely automated and easily accessible frameworks that successfully detect and quantify land surface displacements and shoreline erosion processes attributed to permafrost degradation. Additionally, (ii) I have compiled a comprehensive inventory of critical infrastructure and human-impacted areas, extending beyond economic and industrial importance. I created this inventory by integrating different data sources, allowing for an in-depth analysis of infrastructure vulnerability to permafrost degradation and the ecological consequences that may arise in the event of infrastructure failure.

Projected air and ground temperatures are expected to be higher in Arctic and sub-Arcticlatitudes and with temperatures already close to the limit where permafrost can exist,resistance against degradation is low. With thawing permafrost, the landscape is modifiedwith depression in which thermokarst lakes emerge. In permafrost soils a considerableamount of soil organic carbon is stored, with the potential of altering climate even furtherif expansion and formation of new thermokarst lakes emerge, as decay releasesgreenhouse gases (C02 and CH4) to the atmosphere. Analyzing the spatial distribution andmorphometry over time of thermokarst lakes and other water bodies, is of importance inaccurately predict carbon budget and feedback mechanisms, as well as to assess futurelandscape layout and these features interaction. Different types of high-spatial resolutionaerial and satellite imageries from 1963, 1975, 2003, 2010 and 2015, were used in bothpre- and post-classification change detection analyses. Using object oriented segmentationin eCognition combined with manual adjustments, resulted in digitalized water bodies&gt;28m2 from which direction of change and morphometric values were extracted. Thequantity of thermokarst lakes and other water bodies was in 1963 n=92, with succeedingyears as a trend decreased in numbers, until 2010-2015 when eleven water bodies wereadded in 2015 (n=74 to n=85). In 1963-2003, area of these water bodies decreased with50 651m2 (189 446-138 795m2) and continued to decrease in 2003-2015 ending at 129337m2. Limnicity decreased from 19.9% in 1963 to 14.6% in 2003 (-5.3%). In 2010 and2015 13.7-13.6%. The late increase in water bodies differs from an earlier hypothesis thatsporadic permafrost regions experience decrease in both area and quantity of thermokarstlakes and water bodies. During 1963-2015, land gain has been in dominance of the ratiobetween the two competing processes of expansion and drainage. In 1963-1975, 55/45%,followed by 90/10% in 1975-2003. After major drainage events, land loss increased to62/38% in 2010-2015. Drainage and infilling rates, calculated for 15 shorelines werevaried across both landscape and parts of shorelines, with in average 0.17/0.15/0.14m/yr.Except for 1963-1975 when rate of change in average was in opposite direction (-0.09m/yr.), likely due to evident expansion of a large thermokarst lake. Using a squaregrid, distribution of water bodies was determined, with an indistinct cluster located in NEand central parts. Especially for water bodies &lt;250m2, which is the dominant area classthroughout 1963-2015 ranging from n=39-51. With a heterogeneous composition of bothsmall and large thermokarst lakes, and with both expansion and drainage altering thelandscape in Tavvavuoma, both positive and negative climate feedback mechanisms are inplay - given that sporadic permafrost still exist.