Soil organic carbon represents the largest constituent of the global C pool and carbon budgets are studied by researchers and modelers in C cycling, global climate change, and soil quality studies. Pedon and soil interpretation record databases are used with soil and ecological maps to estimate regional SOC even though these databases are rarely complete for surface litter and mineral subsurface horizons. The first main objective of the project is to improve the ability to produce soil organic carbon estimates from existing spatial soils datasets, such as STATSGO. All records in the STATSGO Layer table that were incomplete or appeared to be incorrectly filled with a null or zero value were considered invalid. Data sorting procedures and texture lookup tables were used to identify exiting correct (valid) data entries that were used to substitute invalid records. STATSGO soil property data were grouped by soil order, MLRA, layer number, and texture to produce replacement values for all invalid data used to calculate mass SOC. Grouping criteria was specific to each variable and was based on texture designations. The resulting filled and unfilled tables were used with procedures assuming Normal and Lognormal distribution of parameters in order to analyze variation of mass SOC estimates caused by using different computation techniques. We estimated mass SOC to 2 m in Maine and Minnesota using filled and unfilled STATSGO data tables. Up to 54% of the records in Maine and up to 80% of the records in Minnesota contained null or zero values (mostly in fields related to rock fragments) that were replaced. After filling, the database resulted in 1.5 times higher area-weighted SOC. SOC calculated using the Normal distribution assumption were 1.2 to 1.5 times higher than those using the Lognormal transformation. SOC maps using the filled tables had more logical geographic SOC distribution than those using unfilled tables. The USDA Forest Service collects and maintains detailed inventory data for the condition and trends of all forested lands in the United States. A wide range of researchers and landowners use the resulting Forest Inventory and Analysis (FIA) database for analytical and decision making tasks. FIA data is available to the public in transformed or aggregate format in order to ensure confidentiality of data suppliers. The second main objective of this project was to compute SOC (kg m-2) results by FIA forest type and forest type group for three depth categories (25 cm, 1 m, and 2 m) at a regional scale for the 48 contiguous United States. There were four sets of results derived from the filled STATSGO and FIA datasets for each depth class by region: (1) SOC computed by the Lognormal distribution approach for (1a) all soil orders, (1b) without Histosols; and (2) SOC computed by the Normal distribution approach for (2a) all soil orders, (2b) without Histosols. Two spatial forest cover datasets were relevant to this project, FIA and AVHRR. We investigated the effects of FIA inventory data masking for Maine and Minnesota, such as plot coordinates rounding to the nearest 100 arc-second, and the use of 1 km resolution satellite-derived forest cover classes from AVHRR data, on SOC estimates to 2 m by forest type group. SOC estimates by soil mapping unit were derived from fixed STATSGO database tables and were computed by the Lognormal distribution approach including all soil orders. The methods in this study can be used for a variety of ecological and resource inventory assessments and the automated procedures can be easily updated and improved for future uses. The procedures in this study point out areas that could benefit the most during future revisions of STATSGO. The resulting SOC maps are dynamic and can be rapidly redrawn using GIS whenever STATSGO spatial or tabular data undergo updating. Use of pedon data to define representative values for all properties in all STATSGO layers and correlation of STATSGO layers to soil horizons will lead to vast improvement of the STATSGO Layer table and promote its use for mass SOC estimation over large regions. / Master of Science

Large amounts of carbon are stored in soils of the northern circumpolar permafrost region. High-resolution mapping of this soil organic carbon (SOC) is important to better understand and predict local to global scale carbon dynamics. In this thesis, studies from five different areas across the permafrost region indicate a pattern of generally higher SOC storage in Arctic tundra soils compared to forested sub-Arctic or Boreal taiga soils. However, much of the SOC stored in the top meter of tundra soils is permanently frozen, while the annually thawing active layer is deeper in taiga soils and more SOC may be available for turnover to ecosystem processes. The results show that significantly more carbon is stored in soils compared to vegetation, even in fully forested taiga ecosystems. This indicates that over longer timescales, the SOC potentially released from thawing permafrost cannot be offset by a greening of the Arctic. For all study areas, the SOC distribution is strongly influenced by the geomorphology, i.e. periglacial landforms and processes, at different spatial scales. These span from the cryoturbation of soil horizons, to the formation of palsas, peat plateaus and different generations of ice-wedges, to thermokarst creating kilometer scale macro environments. In study areas that have not been affected by Pleistocene glaciation, SOC distribution is highly influenced by the occurrence of ice-rich and relief-forming Yedoma deposits. This thesis investigates the use of thematic maps from highly resolved satellite imagery (&lt;6.5 m resolution). These maps reveal important information on the local distribution and variability of SOC, but their creation requires advanced classification methods including an object-based approach, modern classifiers and data-fusion. The results of statistical analyses show a clear link of land cover and geomorphology with SOC storage. Peat-formation and cryoturbation are identified as two major mechanisms to accumulate SOC. As an alternative to thematic maps, this thesis demonstrates the advantages of digital soil mapping of SOC in permafrost areas using machine-learning methods, such as support vector machines, artificial neural networks and random forests. Overall, high-resolution satellite imagery and robust spatial prediction methods allow detailed maps of SOC. This thesis significantly increases the amount of soil pedons available for the individual study areas. Yet, this information is still the limiting factor to better understand the SOC distribution in permafrost environments at local and circumpolar scale. Soil pedon information for SOC quantification should at least distinguish the surface organic layer, the mineral subsoil in the active layer compared to the permafrost and further into organic rich cryoturbated and buried soil horizons. / <p>At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 3: Manuscript. Paper 4: Manuscript.</p>

Due to climate change there is a growing concern for soil organic carbon reservoires. The soil is the largest terrestrial pool of organic carbon and its balance is being increasingly disturbed by conversion of natural to managed ecosystem (for agriculture, forestry and urbanization). There are still large uncertainities with estimating real amount of organic carbon sequestrated in soils. Therefore a number of regional and national soil inventories and monitoring networks are currently established or tested to verify soil carbon changes. Thesis is focused on estimation of soil organic carbon pools in the area of Czech basic map Beroun 12-41-08. It evaluates available soil data and restrictions of their use. Especially is focused on comprehensive soil survey undertaken between 1961 and 1970, on soil properties change in time and how to get missing bulk densities of the soil, particularly through pedotransfer functions. Powered by TCPDF (www.tcpdf.org)

Comparison of two different soil organic matter fractionation methods Soil organic matter (SOM) significantly affects physical, chemical and biological properties of soils and plays also a crucial role in the global carbon cycle. In order to simulate SOM dynamics a number of mathematical models have been developed. These models divide SOM into several theoretical pools according to their stability. Unfortunately, lacking experimental procedure which could measure these pools directly, although for this purpose a wide range of fractionation procedures were developed, that are trying identified empirical fractions with theoretical model pools. An objective of this experiment was to reproduce two fractionation procedures on a set of twenty-seven laboratory-prepared samples: according to Six and according to Zimmermann and to compare their results. Also the relationship between respiration and the amount of carbon in different pools was compared. The most significant differences were found in active pools, where Six's method found twice as much carbon than Zimmermann's one. Finally response of both method results to various environmental parameters (mineral composition, litter type and soil mixing) was compared. According to the results of Zimmermann's method the amount of carbon in different pools was mainly...

The study aims at estimation and mapping the amount of carbon allocated in above ground biomass of wood and in organo-mineral soil horizon at sites where reclamation and spontaneous succession took place on spoil heaps after coal mining. Several categories of data have been used to meet the objectives, namely ground field measurements, laboratory analyses of soil samples, airborne hyperspectral data from VNIR region, and airborne LiDAR scanning data. The digital imagery analysis, GIS modeling and multivariation statistical methods were applied in data assessment. The results show that there is a 7 600 tons of carbon allocated in above ground wood biomass in the area of 209 ha, and 8 100?12 200 tons in the soil A horizon in the region of the same size. The results proofed: 1/ statistically significant negative relationships (p < 0,01) between slope and amount of soil carbon, where higher negative correlation was for broad leaved species; 2/ statistically significant difference (p < 0,05) between amount of soil carbon under broad leaved and needle classes and under different species, the highest between soils under Alnus sp. and Pinus sp.; 3/ statistically significant relationships (p < 0,05) between the amount of carbon allocated in the aboveground wood biomass and that in the soil A horizon under the needle leaved class and under the spontaneous wood vegetation.

Forest soils store as much carbon (C) as the vegetation that grows on them, and the carbon in soil is more stable than the C in biomass. Quaking aspen (Populus tremuloides Michx.) is the most widespread tree species in North America, and aspen forests in the Western US have been found to store more soil organic carbon (SOC) in the mineral soil than nearby conifers. Fire exclusion and grazing often promote the succession of aspen to conifer dominated forests due to their effect on aspen regeneration. So far the factors driving the differential SOC accumulation, and the effects of the vegetation shift on SOC pools, are not well understood. In this dissertation I aimed to evaluate how various forest vegetation characteristics – tree type, detritus fluxes, detritus chemistry – affect SOC pools and stability from a global to a molecular level using two contrasting forest types – aspen and conifer. A meta-analysis showed that, while conifer forests worldwide had higher C pools in the forest floor, this difference did not translate into the mineral soil, suggesting that the mechanisms that control SOC storage differ between both soil compartments. Above- and belowground detritus input fluxes were similar between aspen and conifer forests, and did not explain the higher SOC pools under aspen. A sorption study revealed that the more labile aspen foliage dissolved organic carbon (DOC) was more effectively retained in soil than aspen root, and conifer substrate DOC. Furthermore, soils that contained aspen SOC retained new DOC better than soils with conifer SOC, irrespective of the source of the DOC. Finally, foliage and root specific compounds that were identified for aspen and subalpine fir provide a base for future studies aiming to identify the source of SOC under both overstory types. Overall, the results of the dissertation suggest that substrate chemistry more than detritus fluxes drive the differences between SOC pools under aspen and conifer forests in Utah. This finding indicates that the link between C input amounts and SOC pools is not as direct as currently assumed in most SOC models. Furthermore, a tree species effect on SOC as distinct as aspen vs conifer is not common between all hardwood and conifer comparisons worldwide, thus suggesting that the effect of vegetation can be overridden by other factors.

Recent work has demonstrated that vast amounts of soil organic carbon (SOC) are redistributed and buried within Canadian croplands; however, the effects of redistribution on SOC dynamics and biological properties of the soil environment remain unknown. Because soil microorganisms are drivers of carbon (C) turnover in soil, the effects of such processes on microbial community dynamics are important in assessing the overall effects of redistribution and the stability of displaced C. This is particularly important in the face of future climate change scenarios and potential disturbances. The objectives of this study were to examine microbial community dynamics with depth and among landscape positions in an eroded landscape, and to assess C mineralization response between surface and subsurface soil layers in a depositional position. Microbial abundance was highly influenced by SOC redistribution. This was most evident in the buried backslope position where substantial soil and SOC deposition had occurred, creating a very thick A horizon (ca. 80 cm). Phospholipid fatty acid (PLFA) analysis revealed substantial concentrations of microbial biomass located at depth (30-60 cm), which was greater than PLFA concentration at the soil surface and correlated with SOC concentration. Community structure analysis demonstrated the strong influence of landscape position and depth in structuring microbial communities near the soil surface (0-20 cm). Communities in positions that were predominantly erosional were the most different from those in the depositional position, accounting for the largest amount of variation (60%) in the overall analysis. The existence of distinct microbial communities found in depositional material (0-25 cm) and within the buried A horizon (30-80 cm) in the buried backslope position indicate a strong influence of depth and redistribution in structuring microbial communities. The existence of significant viable biomass in the buried A horizon of the depositional position leads to question the persistence of highly concentrated, buried SOC over many decades. When soils from surface (0-5 and 20-25 cm) and subsurface (40-45 and 65-70 cm) depths were incubated in surface-like conditions, greater mineralization response in surface relative to subsurface soils, despite relatively similar SOC concentration, suggests that redistribution protects buried C from decomposition. Distinct microbial communities found at the onset and completion of the mineralization study between surface and subsurface soil layers may indicate the influence of microbial community structure on mineralization response. Depth was the largest source of variation in microbial community structure, and although a shift occurred after exposure to incubation conditions, the effect of depth remained the strongest influence. This work indicates that SOC redistribution strongly influences microbial abundance and community structure development, primarily driven by altered substrate gradients occurring with depth, and suggests that C is less susceptible to decomposition once buried in depositional positions.

In the southern Great Plains, the encroachment of grassland ecosystems by mesquite (Prosopis glandulosa), is widespread, and prescribed fire is commonly used in its control. Despite this, substantial quantitative information concerning their influences on the community composition, functional dynamics, and soil organic carbon (SOC) storage potential of grassland ecosystems is lacking. The objectives of this study were to: a) quantify the effects of seasonal prescribed fire treatments and mesquite encroachment on aboveground net primary productivity (ANPP) and herbaceous community composition; b) characterize SOC pool sizes, turnover, and storage potential relative to vegetation type and fire treatment; c) evaluate the structure and diversity of soil microbial communities relative to vegetation type; and d) characterize the functional diversity of these same microbes using the GeoChip functional gene microarray. Repeated winter and summer fires led to increased ANPP rates (average, 434 and 313 g m-2 y-1, respectively), relative to unburned controls (average, 238 g m-2 y-1), altered herbaceous community composition, and increased the storage of resistant forms of SOC, but did not affect overall SOC storage. Herbaceous ANPP rates did not differ significantly as a result of mesquite encroachment, but herbaceous community composition and SOC storage did. Mesquite soils contained significantly more total, slow-turnover, and resistant forms of SOC than those that occurred beneath C3 or C4 grasses. Similarity among the soil bacterial and fungal communities associated with the major vegetation types in this system was low to moderate. Significant differences were detected among soil fungi, with the mesquite-associated fungi harboring significant differences in community structure relative to the fungal communities associated with each of the other vegetation types examined. Despite this result, few significant differences were detected with respect to the functional diversity of these communities, suggesting either a high degree of functional redundancy, or that the functional differences harbored by these communities are beyond the scope of the GeoChip. The results of this study demonstrate that both fire and mesquite encroachment have the potential to alter ecosystem components and processes significantly, providing new insight regarding the effects of these widespread land use and land cover changes on ecosystem structure and function.

This thesis presents the first modeling study on long-term carbon dynamics for the University of Guelph Elora Agricultural Research Station and the Environment Canada Borden Forest Research Station at the daily and half-hourly time-step. The daily version of the CENTURY (DayCENT) model and the Carbon- and Nitrogen-coupled Canadian Land Surface Scheme (CN-CLASS) model were validated for quantifying the effects of agricultural management and component respiration on the carbon budget. DayCENT indicated that conventional tillage (CT) enhanced the annual heterotrophic respiration relative to no-till (NT) by 38.4, 93.7 and 64.2 g C m-2 yr-1 for corn, soybean and winter wheat, respectively. The seasonal variation of total soil organic carbon (SOC) pool was greater in CT than NT due to tillage effects on carbon transfer from the active surface SOC pool to the active soil SOC pool at a rate of 50-100 g C m-2 yr-1. NT accounted for a 10.7 g C m-2 yr-1 increase in the slow SOC pool (20-year turnover time) at a site in Elora, Ontario, Canada. I found that the plant phenology algorithms used in CN-CLASS were not constructed and validated for crop growth, resulting in a high degree of uncertainty in the simulations. Therefore, I designed and tested a new agricultural module for CN-CLASS. The regression analysis indicated that the new crop module improved the net ecosystem productivity (NEP) simulation for a cornfield, with the coefficient of determination (r2) of annual NEP increasing from 0.51 in the original CN-CLASS to 0.78 in the modified version of the model. I verified CN-CLASS to simulate the dynamics of component respiration for tracing the contributions from litterfall, SOC and root respiration in a deciduous mixedwood forest in Borden, Ontario, Canada. The model estimated that the annual ecosystem CO2 respiration was 1366 g C m-2 yr-1, contributed by heterotrophic respiration (57%), maintenance respiration (37%) and growth respiration (6%). The annual accumulated soil respiration was estimated at 782 g C m-2 yr-1, which was dominated by CO2 emissions from soil organic matter (60%). The base respiration rates required further verification based on field measurements. Based on the verified modeling approach in this thesis, the modeling core of DayCENT can be constructed as an integral platform for Agriculture and Agri-Food Canada National Carbon and Greenhouse Gas Accounting and Verification System. The crop phenological module in CN-CLASS allows us to conduct further agricultural studies concerning global carbon budget and environmental change. The validated respiration algorithms in CN-CLASS would be helpful in developing global biological CO2 transport model for tracing emission sources. / Natural Science and Engineering Research Council of Canada

Für die montanen Regionen kontinental Südostasiens (Südwest China, Laos, Kambodscha, Myanmar, Nordost Thailand, Nordwest Vietnam) gibt es nur wenig Informationen über die organische Bodensubstanz (OBS) und ihre Beeinflussung durch Landnutzung, Bewirtschaftung und biophysikalische Eigenschaften. Zum Beispiel ist trotz großflächiger Entwaldung zu Gunsten von Kautschukplantagen der Einfluss dieser Landnutzungsänderung auf OBS Vorräte kaum bekannt. Auch wurde der Einfluss der Terrassierung, wie sie für den Kautschukanbau in montanen Regionen üblich ist, auf die Dynamik der OBS bislang nicht untersucht. Des Weiteren liegen nur begrenzt Informationen über die räumliche Verteilung von OBS Vorräten und die Rolle potentieller Regulationsfaktoren wie Landnutzung, Vegetation, Bodentextur und Topographie vor. Die vorliegende Arbeit zielte auf die genannten Wissenslücken und präsentiert in diesem Kontext drei Studien aus der montanen Region Xishuangannas, Süd Yunnan, China. In den ersten beiden, in einer tropischen Landschaft durchgeführten Studien, habe ich die Änderung des OBS Vorrats durch 1) die Umwandlung von Sekundärwald in Kautschukplantagen und 2) durch den Bau von Terrassen, quantifiziert. Um in der ersten Studie Landnutzungseffekte auf die OBS-Vorräte zu quantifizieren, habe ich den Ansatz der unechten Zeitreihe (space-for-time substitution) genutzt. Ich habe 11 terrassierte Kautschukplantagen im Alter von 5 bis 46 Jahren sowie sieben Sekundärwaldparzellen untersucht. Die Ergebnisse zeigten, dass die Umwandlung von Sekundärwald in Kautschukplantagen eine Abnahme der OBS Vorräte von 37.4 Mg C ha-1 im Bereich bis zu einer Tiefe von 1.2 m hervorrief; diese Abnahme entsprach 19% des ursprünglichen OBS Vorrats im Sekundärwald. Im Oberboden nahm der OBS Vorrat exponentiell ab; in den ersten 5 Jahren nach der Landnutzungsänderung war die Abnahme am stärksten, nach ca. 20 Jahren hat sich ein Gleichgewicht eingestellt. Der mittlere OBS-Verlust von 37.4 Mg C ha-1 war viel höher als literaturbasierte Schätzwerte für Änderungen der oberirdischen Kohlenstoffvorräte, welche zwischen einem Verlust von 18 Mg C ha-1 und einer Steigerung von 8 Mg C ha-1 liegen. Im Gegensatz zur IPCC tier 1-Methode, die davon ausgeht, dass OBS Vorratsänderungen bei einer Umwandlung von Wald zu Kautschuk gleich 0 sind, zeigen meine Ergebnisse, dass OBS-Verluste in Betracht gezogen werden müssen, um potentiell große Fehler bei der Schätzung von Kohlenstoffflüssen von Ökosystemen zu vermeiden. Terrassierte Kautschukplantage bestehen aus schmalen Terrassen mit einer Baumreihe, die sich mit ursprünglichen geneigten Flächen abwechseln. Bei der Konstruktion der Terrassen wird Boden vom Hang abgetragen, und so eine innere Kante der Terrasse entsteht (Entnahmebereich); der entfernte Boden wird dann auf den Hang unterhalb der Grabungsfläche aufgehäuft und bildet die äußere Kante der Terrasse (Ablagebereich). Die zweite Studie untersucht den Einfluss der Terrassierung auf OBS Vorräte in 5, 29 und 44 Jahre alten Plantagen. In jeder Plantage habe ich die Terrassen systematisch in den verschiedenen Bodenverteilungszonen beprobt, die ursprünglichen Hangflächen zwischen den Terrassen diente als Referenz. Die Ergebnisse dieser Studie zeigten, dass die Terrassierung die OBS Vorräte der 5 Jahre alten Plantage nicht beeinflusst hat. In den 29 und 44 Jahre alten Plantagen wurden jedoch in 0-1.2 m Tiefe höhere OBS Vorräte auf den Terrassen als auf den Referenzflächen beobachtet. Der positive Effekt der Terrassierung auf die OBS Vorräte in den beiden älteren Plantagen wurde auf die Erholung des OBS Vorrats im freiliegenden Oberboden des Entnahmebereichs, und die teilweise Erhaltung von OBS im begrabenen Boden des Ablagebereichs erklärt. Die Erholung der OBS Vorräte im Entnahmebereichen konnte durch die Aufnahme neuer OBS des freiliegenden Unterbodens in Form von Wurzeln und Laubfall sowie durch die Sedimentation von erodiertem Oberbodenmaterial des Oberhangs erklärt werden. Zusammenfassend zeigen die Ergebnisse, dass Terrassierung die Verluste von OBS verringern kann; ohne die Anlage von Terrassen könnte der Verlust von OBS durch die Umwandlung von Wald zu Kautschukplantagen größer sein. In der dritten Studie, durchgeführt in einer subtropischen Landschaft, habe ich die aktuellen OBS Vorräte pro dominanter Landnutzung quantifiziert und die Beziehungen zwischen OBS und Landnutzung, sowie Vegetation, Bodentextur und Topographie untersucht. In einem 10.000 Hektar großen Gebiet habe ich 28 ein Hektar große Probeflächen in Wäldern mit geschlossenem und offenem Kronendach, Teeplantagen und Buschland ausgewählt. Die OBS-Vorräte in einer Tiefe von 0-0.9 m waren unter den höchsten der Region: 228.6 ± 19.7 (SE) Mg C ha-1 in Wäldern mit geschlossenem Kronendach, 200.4 ± 15.5 Mg C ha-1 in Wäldern mit offenem Kronendach, 197.5 ± 25.9 Mg C ha-1 in Teeplantagen und 236.2 ± 13.7 Mg C ha-1 im Buschland. OBS Konzentrationen und Vorräte unterschieden sich nicht signifikant zwischen den Landnutzungstypen. Mehr als 50% der gesamten Varianz der OBS wurde innerhalb der ein Hektar großen Flächen beobachtet und war abhängig von der Variabilität der Grundfläche der Bäume, Kohlenstoffvorrat der Streuauflage und der Geländeneigung. Diese Ergebnisse illustrieren die Bedeutung lokaler Prozesse auf die Variabilität von OBS Vorräten in einer montanen Landschaft. Die Ergebnisse aller drei hier vorgestellten Studien tragen zu einem besseren Verständnis von OBS Vorräten und deren Dynamik in einer schnellen Änderungsprozessen ausgesetzten Region bei. Darüber hinaus bilden sie eine potentielle Grundlage für weitere Studien über Änderungen von Ökosystemdienstleistungen in montanen Regionen des kontinentalen Südostasiens.