No description available.

No description available.

Les sols de montagne représentent d'importants réservoirs de carbone (C) potentiellement vulnérables aux changements climatiques et changements d'usage qui les affectent de manière amplifiée. Or la grande variabilité de ces milieux, leur faible accessibilité ainsi que le manque d'outils de mesure appropriés limitent nos connaissances qui restent aujourd'hui très fragmentaires en ce qui concerne les stocks, la chimie et la réactivité du carbone organique des sols (COS). Ces informations sont pourtant nécessaires pour appréhender l'évolution de ces sols et de leur C dans ce contexte de changements globaux. Les objectifs de ce travail de thèse étaient (i) d'accéder à une meilleure compréhension de la nature, de la stabilité et de la vulnérabilité du COS dans une mosaïque d'écosystèmes des Préalpes calcaires (massif du Vercors), (ii) de rechercher des outils de caractérisation rapides et fiables adaptés à l'étude et au suivi du COS à l'échelle du paysage, et enfin (iii) de proposer des indices pour l'évaluation et le suivi de la qualité des sols en milieu de montagne. Dans un premier temps, nous avons testé l'application de la pyrolyse Rock-Eval pour l'étude du COS à grande échelle sur un ensemble d'unités écosystémiques. Nous avons ensuite comparé la pyrolyse Rock-Eval à deux techniques classiques d'étude de la matière organique du sol (MOS) : le fractionnement granulodensimétrique de la MOS et la spectroscopie moyen infrarouge. Ces approches analytiques couplées nous ont permis de quantifier les stocks de C à l'échelle de la zone d'étude et d'expliquer la stabilité et la vulnérabilité du COS sous des angles variés. Les facteurs responsables des patrons observés dans les différentes unités écosystémiques sont discutés. Ce travail a également confirmé la pertinence de l'outil Rock-Eval pour répondre aux objectifs fixés. Parallèlement, des approches biologiques nous ont permis d'évaluer l'importance de la composante microbienne dans ces sols. Enfin, des indices évaluant le statut organique des sols (stockage de COS, fertilité des sols, vulnérabilité du COS) sont proposés pour constituer des outils de gestion et d'aide à la décision. / Mountain soils are major reservoirs of carbon (C), potentially vulnerable to climate and land use changes that affect them significantly. However, the great variability of these soils, their limited accessibility and the lack of appropriate measurement tools restrict our knowledge. Today, our comprehension of the biogeochemistry of mountain soils remains very incomplete regarding stocks, chemistry and reactivity of soil organic carbon (SOC). Yet this information is necessary to understand the evolution of soil carbon in the current context of global change. The objectives of this work were (i) to gain a better understanding of the nature, stability and vulnerability of SOC in a mosaic of ecosystems in a calcareous massif in the Alps (Vercors massif), (ii) to search for fast and reliable characterization tools, suitable for the study and monitoring of COS at the landscape scale, and (iii) to propose indicators for the assessment and monitoring of soil quality in mountain regions. As a first step, we tested the application of Rock-Eval pyrolysis for the study of COS at large-scale on a set of ecosystem units. Then, we compared the Rock-Eval approach to two conventional techniques for soil organic matter (SOM) study: the particle-size fractionation of SOM, and the mid-infrared spectroscopy. These coupled analytical approaches allowed us to quantify C stocks across the study area, and explain the stability and the vulnerability of COS at various angles. Factors responsible for the patterns observed in the different eco-units are discussed. This work also confirmed the relevance of the Rock-Eval tool to achieve our previous objectives. Biological approaches allowed us to assess the significance of microbial pool in these soils. Finally, indices assessing the status of SOM (SOC storage, soil fertility, vulnerability COS) were proposed and constituted interesting management tools for decision-makers.

Soil carbon is the largest sink and source of the global carbon cycle and is disturbed by several natural, anthropogenic, and environmental factors. The global increase of atmospheric CO2 affects soil carbon cycling through varied biogeochemical processes. The first chapter is a compilation of current information on potential factors triggering soil acidification and weathering mechanisms under elevated CO2 and their consequences on soil inorganic carbon (SIC) pool and quality. Soil water content and precipitation were critical factors influencing elevated CO2 effects on the SIC pool. The second chapter examines a detailed column experiment in which six soils from the state of Mississippi, USA, representing acidic, neutral, and alkaline pH, were exposed to different CO2 enrichments (100%, 10%, and 1%) for 30 days. The leachates’ pH tended to attain an equilibrium state (neutral) with time under CO2 saturation. SIC increased under CO2 saturation, whereas cation exchange capacity (CEC) showed a decreasing pattern in all soils. In the third chapter, an eXplainable artificial intelligence (XAI) was performed to visualize the different forms of soil carbon variability across the Mississippi River Basin area. This model explains key insights and local discrepancies, suggesting a solution to the “Black-Box” issue. The best performing model, stack ensemble, showed improved RMSE (3 to 8%) and spatial variability for soil carbons than other ML models, especially after adding the residuals from regression analyses. Land cover type > soil pH > total nitrogen, > NDVI were identified as the top four crucial factors for predicting SOC when bulk density > precipitation, soil pH > mean annual temperature described SIC. The proposed automatic machine learning (AutoML) model with model agnostic interpolations might be a hallmark to mitigate the C loss under adverse climate change conditions and allow diverse knowledge groups to adopt a new interpretable ML algorithm more confidently. Findings from this study help predict the impact of elevated atmospheric CO2 on soil pH, acidification, and nutrient availability and develop strategies for sustainable land management practices under a changing climate.

No description available.

CO2 is a greenhouse gas which is significantly emitted by agricultural soils through the decomposition of plant residue and soil organic carbon. Carbon isotopes can be used in determining the source of the CO2, origin of the carbon, and the age of the CO2 emissions. This study investigates the transport of CO2 gas through agricultural soils using carbon isotopes 14C and 13C to complement concentration and production rate measurements in two comparative agricultural settings in Eastern Ontario, one of which has been modified by clearing and dredging of the adjacent riparian zone and one left undredged. Traditional radiocarbon dating measures time through loss by decay, while recent dating is based on matching measurements with the atmospheric 14CO2 signal (F14C) generated by nuclear bomb testing in the 1950s and 1960s. CO2 emissions were analyzed from soil core sections together with soil-probe gas samples and surface flux chamber samples collected from the study area. Soil cores were collected from 0- 90 cm at 7.5 cm increments and placed into IsoJar® microcosms for a period of one month. CO2 in-growth was monitored to provide production rates and samples for 14C and 13C analysis. The radiocarbon data for the microcosms showed that values increase with depth from the current fraction modern value of 1.00 F14C at the surface to an attenuated peak of 1.04 F14C at a depth of 30 to 40 cm and then decrease to values below 1.00 F14C. The data collected from the soil-probe gas showed a significant depletion in comparison to the microcosms and the surface chambers. The soil cores were subsequently analyzed by a selective leach oxidation protocol to sample decreasingly labile solid organic carbon. This involved placing the weighed soil samples into MilliQ water for 24 hours, before being passed through two sieves, 63 microns and 0.45 microns. The DOC leachate was collected and analyzed for 14C and 13C. The two solid soil fractions were then dried, treated with HCl to remove carbonate and then oxidized under vacuum with 5% H2O2 yielding CO2 and residual soil carbon for 14C and 13C. The radiocarbon analysis of these variously labile fractions, together with the microcosm and soil probe measurements, demonstrate that surface emissions at both sites are greatly dominated by CO2 from recently-sequestered labile organic carbon from the upper 30 cm with minor contribution from earlier, bomb-pulse carbon or from deeper pre-bomb carbon. No significant difference in age of emissions between the dredged and undredged sites was found.

No description available.

Energie und Rohstoffe auf Basis von Biomasse gelten als wichtiger Beitrag, um den anthropogen begründeten Klimawandel zu mindern. Diese publikationsbasierte Arbeit analysiert, inwiefern Aussagen über Vorzüglichkeit von Biomassenutzung im direkten Vergleich oder auch in komplexeren wirtschaftlichen Nutzungssystemen durch Unsicherheiten in den Treibhausgasemissionen (THG) oder durch die Anwendung der Bewertungsmethodik beeinflusst werden. Eine Fallstudie zur stationären Biostromerzeugung aus der Vergasung von Pappelhackschnitzeln zeigte mittels Monte-Carlo-Analyse, dass dieser Biostrom trotz Unsicherheiten weniger THG emittiert bzw. sogar Kohlendioxid sequestrieren könnte. Die zweite Fallstudie analysierte Biomassenutzung im Systemzusammenhang. Sie bezog neben THG-Emissionen als Bewertungskriterien sowohl den Bedarf an Agrarfläche als auch an fossilen Ressourcen mit ein. Für das Beispiel der Häuserdämmung mittels Hanffasern oder Styropor konnte aus den drei Kriterien auch unter Berücksichtigung mehrerer Szenarien keine eindeutige Vorzugslösung der Biomassenutzung abgeleitet werden. Basierend auf dem Produktivitätskonzept stellt der dritte Beitrag mit CUDe (Carbon Utilization Degree) einen Ansatz vor, wie die Nutzungseffizienz des in der Biomasse bereitgestellten Kohlenstoffs bewertet werden könnte. THG-Minderungsrechnungen erfordern eine fundierte Kenntnis der Methode als auch des Produktionssystems in seinem regionalen Kontext. Als Landnutzungseffekte sollten neben Änderungen im Bodenkohlenstoffgehalt auch Unterschiede in Lachgas-Hintergrundemissionen von annuellen gegenüber mehrjährigen Kulturen berücksichtigt werden. Trade-Offs sprechen dafür, Biomassenutzungssysteme nicht nur hinsichtlich Klimawirksamkeit zu optimieren. Ergänzend könnte Kohlenstoff auch als Ressource betrachtet und mit Effizienzkriterien bewertet werden. Biomassenutzung ließe sich so optimieren, dass gemeinsam mit Klimaschutz weitere aktuelle Handlungsfelder adressiert werden. / Biomass-based energy and materials are considered important for the mitigation of human-induced climate change and as relevant bioeconomic feedstock. This publication-based dissertation aims to contribute to the discussion about the reliability of mitigation assessment of biomass applications in an increasingly bio-based, low-carbon economy that also fulfils sustainability constraints of resource conservation. It analysed how preference of biomass use in direct comparison as well as in larger economic context is affected by single uncertainties as well as by mitigation calculation methods. A case study on stationary bioelectricity generation from poplar wood chip gasification with a Monte Carlo approach showed that such bioelectricity could emit less greenhouse gases (GHG) or even sequester carbon despite existing uncertainties. The second case study analysed biomass use in a systemic context. Besides GHG emissions also resource demand of cropland and fossil fuels were used to assess two strategies to isolate buildings. From the three criteria, none of the strategies would clearly be preferred. The third case study presented an approach to assess the efficiency of biomass carbon use (CUDe; Carbon Utilization Degree) and applied it exemplarily to a biogas and a hemp insulation system. GHG mitigation analyses of biomass use must be performed with profound knowledge of the methodology and the biomass system in its regional context. In land use change assessment, emissions resulting from deviating nitrous oxide baselines from annual and perennial crops should be considered in addition to carbon stock changes. Optimization of biomass applications only with respect to GHG emissions (or other single criteria) might overlook trade-offs. However, multi-criteria analyses might yield ambiguous results. A resource-efficient viewpoint on biogenic carbon use instead of its sole GHG implications might help to foster a transformation to bio-based, low-carbon economies.