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  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    Keywords: Soils -- Carbon content -- Measurement. ; Greenhouse effect, Atmospheric. ; Carbon cycle (Biogeochemistry). ; Electronic books.
    Description / Table of Contents: Based on in-depth contributions from leading scientists, this book provides an integrated view of the current and emerging methods and concepts applied in soil carbon research. It contains a standardised protocol for measuring soil CO2 efflux, designed to improve future assessments of regional and global patterns of soil carbon dynamics.
    Type of Medium: Online Resource
    Pages: 1 online resource (298 pages)
    Edition: 1st ed.
    ISBN: 9780511714399
    DDC: 577/.144
    Language: English
    Note: Cover -- Half-title -- Title -- Copyright -- Contents -- Contributors -- Preface -- 1 Soil carbon relations: an overview -- 1.1 INTRODUCTION -- 1.2 SOIL CARBON RELATIONS: A BASIC CONCEPT -- 1.3 RESEARCH LINES -- 1.3.1 Soil chemistry -- 1.3.2 Physical mechanisms -- 1.3.3 The physiological research line -- 1.3.4 The ecological research line -- 1.4 CURRENT CHALLENGES -- 1.4.1 Experimental design of flux measurements and stock taking: limitations at the plot scale -- 1.4.2 Litter and soil organic matter: a meaningful separation and characterization of carbon pools -- 1.4.3 Measuring autotrophic versus heterotrophic fluxes: available methods and their meaning -- 1.4.4 Soil microbes, soil fauna and trophic interactions: describing communities, their functions and activity -- 1.4.5 Temperature sensitivity and acclimation: application and shortfalls of different concepts -- 1.4.6 Modelling soil carbon dynamics: current and future model validation and structures -- 1.4.7 The role of soils in a changing climate: towards a better understanding of the role of soils in the greenhouse gas budget -- 1.5 SUMMARY -- REFERENCES -- 2 Field measurements of soil respiration: principles and constraints, potentials and limitations of different methods -- 2.1 INTRODUCTION -- 2.2 MEASUREMENT PRINCIPLES AND HISTORY OF TECHNICAL DEVELOPMENTS -- 2.3 DISTURBANCES INTRODUCED BY THE MEASUREMENT SYSTEM -- 2.3.1 Vertical pressure gradient -- 2.3.2 Vertical CO2 concentration gradient -- 2.3.3 Horizontal wind -- 2.3.4 Other effects -- 2.4 COMPARISON OF THE EXISTING SYSTEMS AND RECOMMENDATIONS -- 2.5 EXPERIMENTAL DESIGN -- REFERENCES -- 3 Experimental design: scaling up in time and space, and its statistical considerations -- 3.1 INTRODUCTION -- 3.2 SPATIAL AND TEMPORAL VARIABILITY -- 3.2.1 Sources of variability -- 3.2.2 Coping with variability -- 3.2.2.1 Spatial variability. , 3.2.2.2 Temporal variability -- 3.2.2.3 Implications for soil CO2 efflux sampling strategies -- 3.2.3 Laboratory measurements -- 3.2.4 Scaling up -- 3.2.5 Site variation: random, stratified or systematic design, and avoiding bias -- 3.2.6 Using geographical information systems (mapping and querying) -- 3.3 FORMULATING AND TESTING HYPOTHESES -- 3.3.1 Make the observation -- 3.3.2 Formulate the hypothesis -- 3.3.3 Draw the graph -- 3.3.4 Design and perform the experiment -- 3.3.5 Evaluate the data with the appropriate statistical design -- 3.4 CONCLUSION -- REFERENCES -- 4 Determination of soil carbon stocks and changes -- 4.1 INTRODUCTION -- 4.1.1 Soil carbon pools and the global carbon cycle -- 4.1.2 Definition of soil organic carbon (SOC) and soil organic matter (SOM) -- 4.1.3 The soil carbon balance -- 4.1.4 Effects of fire in altering the reservoirs of soil carbon -- 4.1.5 Factors determining soil organic carbon turnover -- 4.1.6 Soil organic carbon stocks and climate change -- 4.2 METHODS FOR THE DETERMINATION OF SOIL ORGANIC CARBON CHANGES -- 4.2.1 The flux approach -- 4.2.2 The repeated inventory approach -- 4.2.3 Examining changes in specific fractions of carbon -- 4.2.4 Soil sampling, preparation and analysis -- 4.2.4.1 Soil sampling -- 4.2.4.2 Sample treatment and preparation -- 4.2.4.3 Soil carbon analyses -- 4.2.4.4 Bulk density and stone content -- 4.2.4.5 Root content -- 4.3 CONSIDERATIONS FOR SOIL CARBON MONITORING SCHEMES -- 4.4 UP-SCALING AND THE ROLE OF MODELS FOR DETECTING SOIL ORGANIC CARBON CHANGES -- 4.5 SOIL CARBON STOCK CHANGES: SOME PRACTICAL EXAMPLES -- 4.6 CONCLUSIONS -- REFERENCES -- 5 Litter decomposition: concepts, methods and future perspectives -- 5.1 LITTER DECOMPOSITION CONCEPT -- 5.2 KNOWLEDGE OF LITTER DECOMPOSITION AND ITS CONTROLLING FACTORS -- 5.3 MEASURING LITTER DECAY. , 5.4 LITTER BAG STUDIES TO QUANTIFY STANDING LITTER TURNOVER TIMES: HOW DO WE DEAL WITH THE ASYMPTOTIC VALUE? -- 5.5 MODELLING LITTER DECAY -- 5.6 EMERGING ISSUES -- 5.6.1 Interaction and feedback between root activity and litter decay -- 5.6.2 Incorporation of above-ground litter-derived carbon to SOM -- 5.6.3 Functional role of soil microbes: does the fungal-to-bacteria ratio affect carbon flow from litter to recalcitrant SOM? -- 5.7 CUTTING-EDGE METHODOLOGIES -- ACKNOWLEDGEMENTS -- REFERENCES -- 6 Characterization of soil organic matter -- 6.1 INTRODUCTION -- 6.2 OVERVIEW OF TECHNIQUES TO FRACTIONATE AND CHARACTERIZE SOIL ORGANIC MATTER -- 6.2.1 Soil organic matter fractionation -- 6.2.1.1 Biological fractionation -- 6.2.1.2 Physical fractionation -- 6.2.1.3 Chemical fractionation -- 6.2.1.4 Black carbon fractionation and quantification -- 6.2.2 Soil organic matter characterization -- 6.2.2.1 Compound-specific characterization -- 6.2.2.2 Whole-soil SOM characterization -- 6.3 SHORTCOMINGS -- 6.3.1 The remaining gap between SOM fractionation and characterization -- 6.3.2 The current fractionation methodologies frequently isolate non-uniform SOM pools with different turnover times -- 6.3.3 Biochemical characteristics of SOM have seldom been directly linked to microbial functioning and resulting SOM dynamics -- 6.3.4 The relationship between the dynamics of specific SOM fractions and the dynamics of whole SOM has not often been considered -- 6.3.5 Isolated single compounds or compound classes often represent such a small proportion of the total SOM content that the quantification or modelling of their dynamics may have little relation to the dynamics of SOM as a whole -- 6.4 DIRECTIONS FOR FUTURE RESEARCH AND PROMISING NEW TECHNIQUES -- 6.4.1 Quantification of the turnover of different SOM fractions by isotope analysis. , 6.4.2 Relating SOM quality and dynamics to microbial functioning -- 6.4.3 Exploration of new avenues to characterize whole-soil and fraction SOM quality -- 6.5 CONCLUSIONS -- REFERENCES -- 7 Respiration from roots and the mycorrhizosphere -- 7.1 INTRODUCTION -- 7.2 ROOT AND MYCORRHIZOSPHERE RESPIRATION -- 7.2.1 Eco-physiology of root respiration -- 7.2.2 Regulation of root respiration by plant and environmental factors -- 7.2.2.1 Temperature -- 7.2.2.2 Moisture -- 7.2.2.3 Nutrients -- 7.2.2.4 Insolation and carbohydrate supply -- 7.2.2.5 Soil and atmospheric CO2 concentrations -- 7.2.2.6 Root morphology and plant age -- 7.2.3 Rhizomicrobial and mycorrhizal respiration -- 7.2.3.1 Rhizomicrobial respiration -- 7.2.3.2 Mycorrhizal respiration -- 7.3 MEASURING ROOT AND MYCORRHIZOSPHERE RESPIRATION -- 7.3.1 General considerations -- 7.3.1.1 Field vs. laboratory measurements: which method to use -- 7.3.1.2 Expressing respiration rates -- 7.3.1.3 Measuring root respiration temperature response -- 7.3.2 Field methods -- 7.3.2.1 Excision methods -- 7.3.2.2 Intact-root chamber methods -- 7.3.2.3 Measurement techniques for respiration of large coarse roots -- 7.3.2.4 Mesh exclusion method -- 7.3.2.5 Field measurements to take in conjunction with root respiration -- 7.3.3 Laboratory methods -- 7.3.3.1 O2 consumption and CO2 release methods -- 7.3.3.2 Measuring root respiration temperature response in the laboratory -- 7.3.4 Calculating the Q10 -- 7.3.4.1 Fitting curves to measured data -- 7.3.4.2 Predicting respiration in the absence of a measured temperature response -- 7.3.5 Methodology for quantifying the degree of acclimation -- 7.3.5.1 Set temperature method -- 7.3.5.2 Homeostasis-based methods -- 7.3.5.3 Quantifying acclimation: which method to use? -- 7.4 MYCORRHIZOSPHERE RESPIRATION AT THE ECOSYSTEM SCALE -- 7.5 CONCLUDING REMARKS -- REFERENCES. , 8 Separating autotrophic and heterotrophic components of soil respiration: lessons learned from trenching and related root-exclusion experiments -- 8.1 INTRODUCTION -- 8.2 ROOT EXCLUSION: THE TRENCHING APPROACH -- 8.2.1 Calculations and assumptions -- 8.2.2 Limitations and shortcomings -- 8.3 ROOT EXCLUSION: OTHER RELATED APPROACHES -- 8.3.1 Artificial gaps -- 8.3.2 Girdling experiments -- 8.3.3 Clipping experiments -- 8.4 LESSONS LEARNED FROM ROOT EXCLUSION EXPERIMENTS -- 8.4.1 Seasonal variation in partitioning -- 8.4.2 Site to site variations in partitioning -- 8.4.3 Age effects on partitioning -- 8.4.4 Global aspects of partitioning -- 8.5 CONCLUDING REMARKS -- ACKNOWLEDGEMENTS -- REFERENCES -- 9 Measuring soil microbial parameters relevant for soil carbon fluxes -- 9.1 INTRODUCTION -- 9.2 METHODS FOR ECO-PHYSIOLOGICAL CHARACTERIZATION OF SOIL MICROBIOTA -- 9.2.1 Biomass -- 9.2.2 Ratios of different microbial biomass estimates -- 9.2.3 Basal respiration and metabolic quotients -- 9.2.4 Community oriented approaches -- 9.2.5 Extracellular enzyme activities -- 9.2.6 Specific substrate use -- 9.2.7 Tracers -- 9.2.8 Stable isotope probing -- 9.3 MICROBIAL ACCLIMATION AND STRESS RESPONSE -- 9.3.1 Microbial acclimation to climate and stress by climatic factors -- 9.3.2 Microbial acclimation to chemical soil properties -- 9.3.3 Plant-microbe interactions -- 9.4 INTEGRATION AND THE USE OF MICROBIOLOGICAL INFORMATION IN MODELLING SOIL CARBON DYNAMICS -- 9.4.1 The need for different scales and scale transition -- 9.4.2 Modelling -- 9.5 CONCLUSIONS -- REFERENCES -- 10 Trophic interactions and their implications for soil carbon fluxes -- 10.1 INTRODUCTION -- 10.2 ABOVE- AND BELOW-GROUND HERBIVORY -- 10.2.1 Short-term responses to herbivores -- 10.2.1.1 Animal waste products and soil carbon dynamics. , 10.2.1.2 Herbivore-induced changes in litter chemistry and soil carbon dynamics.
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  • 2
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    PANGAEA
    In:  Supplement to: Harris, Eliza; Ladreiter-Knauss, Thomas; Butterbach-Bahl, Klaus; Wolf, Benjamin; Bahn, Michael (2018): Land-use and abandonment alters methane and nitrous oxide fluxes in mountain grasslands. Science of the Total Environment, 628-629, 997-1008, https://doi.org/10.1016/j.scitotenv.2018.02.119
    Publication Date: 2023-01-30
    Description: Article abstract: Grasslands cover more than one fifth of total land area in Europe and contribute significantly to the total greenhouse gas budget. The impact of management and land use on the carbon cycle and carbon sequestration in grasslands has been well-studied, however effects on emissions of N2O and CH4 remain uncertain. Additionally, the majority of studies have focussed on management differences between intensively managed grasslands, with few results available for lightly managed grasslands and in particular grassland abandonment. We present N2O and CH4 flux measurements for an abandonment trajectory at low land-use intensity, comparing meadow (fertilized and cut), pasture (grazed) and abandoned (unmanaged since 1983) grassland sites located in the Austrian Alps. Mean growing season N2O fluxes were 0.07, 0.07 and −0.13 nmol m−2 s−1 and CH4 fluxes were −1.0, −0.5 and −1.6 nmol m−2 s−1 for the meadow, pasture and abandoned sites respectively. Variability for both gases at the abandoned site was dominated by 'hot moments', while 'hot spots' dominated at the managed meadow and pasture sites. Consideration of the diurnal cycle observed at the abandoned site, linear correlations within all data sets, and principal components analyses of the full data set revealed increased consumption of both N2O and CH4 with increasing temperature, but hardly any relationship between fluxes and soil moisture. Upscaled over a year, the observed fluxes correspond to enhanced non-CO2 greenhouse gas uptake of 172 g CO2-equiv. m−2 y−1 following abandonment. These results show that non-CO2 greenhouse gases form an important part of the total climate impact of land use change and grassland abandonment, such that abandoned grassland is a net sink for both CH4 and N2O.
    Keywords: abandonment; CO2; grassland; land use; Methane; nitrous oxide
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 3
    Publication Date: 2023-01-30
    Keywords: abandonment; CO2; DATE/TIME; grassland; Kaserstattalm; land use; Methane; Methane, flux; Methane, flux, standard deviation; MULT; Multiple investigations; nitrous oxide; Nitrous oxide, flux; Nitrous oxide, flux, standard deviation; Tyrolian Alps, Austria
    Type: Dataset
    Format: text/tab-separated-values, 1754 data points
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  • 4
    Publication Date: 2023-01-30
    Keywords: abandonment; CO2; grassland; Kaserstattalm; land use; Methane; MULT; Multiple investigations; nitrous oxide; Tyrolian Alps, Austria
    Type: Dataset
    Format: application/zip, 6.9 MBytes
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  • 5
    Publication Date: 2023-01-30
    Keywords: abandonment; Calculated; Carbon dioxide, flux; Carbon dioxide, flux, standard deviation; CO2; DATE/TIME; grassland; Kaserstattalm; land use; Methane; Methane, flux; Methane, flux, standard deviation; MULT; Multiple investigations; nitrous oxide; Nitrous oxide, flux; Nitrous oxide, flux, standard deviation; Plot; p-value; Sample comment; Sample method; Tyrolian Alps, Austria
    Type: Dataset
    Format: text/tab-separated-values, 7505 data points
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  • 6
    Publication Date: 2024-04-20
    Description: This dataset comprises a compilation of soil bulk delta-15-N nitrogen isotopic composition that has been measured and/or published since the compilation of d15N data by Craine et al. (2015; doi:10.1007/s11104-015-2542-1; doi:10.1038/srep08280). The data was measured by the data owner / contact indicated in the dataset. All data remains the property of the listed owner but may be used for non-commercial purposes. In the case of significant use of this data for scientific research, please cite this dataset as well as the associated publication(s) and consider contacting data owners to offer co-authorship where relevant. Project: Identifying drivers of N2O emissions in a changing climate (https://www.oecd.org/agriculture/crp/fellowships/). Award: OECD Cooperative Research Program for Sustainable Agricultural and Food Systems (OECD-CRP) grant.
    Keywords: isotope; Soil nitrogen
    Type: Dataset
    Format: text/plain, 132.5 kBytes
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  • 7
    Publication Date: 2022-05-25
    Description: © The Authors, 2010. This article is distributed under the terms of the Creative Commons Attribution 3.0 License. The definitive version was published in Biogeosciences 7 (2010): 2147-2157, doi:10.5194/bg-7-2147-2010.
    Description: Soil respiration (SR) constitutes the largest flux of CO2 from terrestrial ecosystems to the atmosphere. However, there still exist considerable uncertainties as to its actual magnitude, as well as its spatial and interannual variability. Based on a reanalysis and synthesis of 80 site-years for 57 forests, plantations, savannas, shrublands and grasslands from boreal to tropical climates we present evidence that total annual SR is closely related to SR at mean annual soil temperature (SRMAT), irrespective of the type of ecosystem and biome. This is theoretically expected for non water-limited ecosystems within most of the globally occurring range of annual temperature variability and sensitivity (Q10). We further show that for seasonally dry sites where annual precipitation (P) is lower than potential evapotranspiration (PET), annual SR can be predicted from wet season SRMAT corrected for a factor related to P/PET. Our finding indicates that it can be sufficient to measure SRMAT for obtaining a well constrained estimate of its annual total. This should substantially increase our capacity for assessing the spatial distribution of soil CO2 emissions across ecosystems, landscapes and regions, and thereby contribute to improving the spatial resolution of a major component of the global carbon cycle.
    Description: Data synthesis was supported by the Austrian Science Fund (FWF) grant P18756-B16 to MB. MR acknowledges funding from the European Research Council to the QUASOM project (ERC-2007-StG-208516).
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 8
    Publication Date: 2022-05-25
    Description: Author Posting. © Ecological Society of America, 2010. This article is posted here by permission of Ecological Society of America for personal use, not for redistribution. The definitive version was published in Ecological Applications 20 (2010): 1569–1582, doi:10.1890/09-0693.1.
    Description: We seek to understand how biophysical factors such as soil temperature (Ts), soil moisture (θ), and gross primary production (GPP) influence CO2 fluxes across terrestrial ecosystems. Recent advancements in automated measurements and remote-sensing approaches have provided time series in which lags and relationships among variables can be explored. The purpose of this study is to present new applications of continuous measurements of soil CO2 efflux (F0) and soil CO2 concentrations measurements. Here we explore how variation in Ts, θ, and GPP (derived from NASA's moderate-resolution imaging spectroradiometer [MODIS]) influence F0 and soil CO2 production (Ps). We focused on seasonal variation and used continuous measurements at a daily timescale across four vegetation types at 13 study sites to quantify: (1) differences in seasonal lags between soil CO2 fluxes and Ts, θ, and GPP and (2) interactions and relationships between CO2 fluxes with Ts, θ, and GPP. Mean annual Ts did not explain annual F0 and Ps among vegetation types, but GPP explained 73% and 30% of the variation, respectively. We found evidence that lags between soil CO2 fluxes and Ts or GPP provide insights into the role of plant phenology and information relevant about possible timing of controls of autotrophic and heterotrophic processes. The influences of biophysical factors that regulate daily F0 and Ps are different among vegetation types, but GPP is a dominant variable for explaining soil CO2 fluxes. The emergence of long-term automated soil CO2 flux measurement networks provides a unique opportunity for extended investigations into F0 and Ps processes in the near future.
    Description: Data collection was possible thanks to NASA, the NSF Center for Embedded Networked Sensing (CCR-0120778), DOE (DE-FG02-03ER63638), CONACyT, UCMEXUS, NSF (EF-0410408), NSF-LTER, KAKENHI (12878089 and 13480150), the Academy of Finland (213093), the Austrian Science Fund (FWF, P18756-B16), the Kearney Foundation, the Canadian Foundation for Climate and Atmospheric Sciences (CFCAS), and the Natural Science and Engineering Research Council of Canada (NSERC). R. Vargas was supported by grant DEB-0639235 during the preparation of this manuscript.
    Keywords: Lags ; Moderate-resolution imaging spectroradiometer (MODIS) ; Photosynthesis ; Soil CO2 efflux ; Soil CO2 production ; Soil CO2 sensors ; Soil respiration
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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