Academic literature on the topic 'Greenhouse gas inventories and fluxes'

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Journal articles on the topic "Greenhouse gas inventories and fluxes"

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Pelster, D. E., M. C. Rufino, T. Rosenstock, J. Mango, G. Saiz, E. Diaz-Pines, G. Baldi, and K. Butterbach-Bahl. "Smallholder African farms in western Kenya have limited greenhouse gas fluxes." Biogeosciences Discussions 12, no. 18 (September 16, 2015): 15301–36. http://dx.doi.org/10.5194/bgd-12-15301-2015.

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Abstract. Few field studies examine greenhouse gas (GHG) emissions from African agricultural systems resulting in high uncertainty for national inventories. We provide here the most comprehensive study in Africa to date, examining annual CO2, CH4 and N2O emissions from 59 plots, across different vegetation types, field types and land classes in western Kenya. The study area consists of a lowland area (approximately 1200 m a.s.l.) rising approximately 600 m to a highland plateau. Cumulative annual fluxes ranged from 2.8 to 15.0 Mg CO2-C ha−1, −6.0 to 2.4 kg CH4-C ha−1 and −0.1 to 1.8 kg N2O-N ha−1. Management intensity of the plots did not result in differences in annual fluxes for the GHGs measured (P = 0.46, 0.67 and 0.14 for CO2, N2O and CH4 respectively). The similar emissions were likely related to low fertilizer input rates (≤ 20 kg ha−1). Grazing plots had the highest CO2 fluxes (P = 0.005); treed plots were a larger CH4 sink than grazing plots (P = 0.05); while N2O emissions were similar across vegetation types (P = 0.59). This case study is likely representative for low fertilizer input, smallholder systems across sub-Saharan Africa, providing critical data for estimating regional or continental GHG inventories. Low crop yields, likely due to low inputs, resulted in high (up to 67 g N2O-N kg−1 aboveground N uptake) yield-scaled emissions. Improving crop production through intensification of agricultural production (i.e. water and nutrient management) may be an important tool to mitigate the impact of African agriculture on climate change.
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Won, Seunggun, Youngbin Yoon, Muhammad Mahboob Ali Hamid, Arif Reza, Soomin Shim, Seungsoo Kim, Changsix Ra, Eliza Novianty, and Kyu-Hyun Park. "Estimation of Greenhouse Gas Emission from Hanwoo (Korean Native Cattle) Manure Management Systems." Atmosphere 11, no. 8 (August 10, 2020): 845. http://dx.doi.org/10.3390/atmos11080845.

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The agricultural sector is considered one of the major sources of greenhouse gas (GHG) emissions globally. The livestock industry as a significant contributor, is accounting for about 18% of GHG emissions measured in carbon dioxide (CO2) equivalent from agricultural practices. Depending on farming practices and climatic conditions, GHGs such as methane (CH4) and nitrous oxide (N2O) emissions from livestock agriculture can vary significantly. Country-specific emission factors are, therefore, needed for a precise estimation of GHG emissions and to avoid uncertainties. This study was aimed at estimating the CH4 and N2O emission fluxes from Hanwoo (the most famous and popular Korean native cattle) manure management systems. CH4 and N2O emission fluxes from litter in the Hanwoo cattle barn and composting lot were monitored and calculated for 52 weeks using the dynamic chamber method. The calculated monthly average fluxes of CH4 and N2O from litter in the cattle barn ranged from 0.0 to 30.0 ± 13.7 and 0.896 ± 0.557 to 2.925 ± 2.853 μg/m2 s, respectively during the whole measurement period. While during the composting period, the monthly average of CH4 and N2O emission fluxes were varied from 1.449 ± 0.783 to 86.930 ± 19.092 and 0.511 ± 0.410 to 2.629 ± 1.105 μg/m2 s, respectively. The calculated emission fluxes of CH4 and N2O from manure management systems in this study were almost 5.4 and 2.1 times, respectively higher than the values reported for the Asian, South and North American countries in the 2006 Intergovernmental Panel on Climate Change (IPCC) Guidelines for National Greenhouse Gas Inventories. Overall, this study initiates the process along with signifies the importance of developing country-specific GHG inventories for the effective reduction of GHG emissions from the livestock sector in Korea.
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Petrescu, Ana Maria Roxana, Glen P. Peters, Greet Janssens-Maenhout, Philippe Ciais, Francesco N. Tubiello, Giacomo Grassi, Gert-Jan Nabuurs, et al. "European anthropogenic AFOLU greenhouse gas emissions: a review and benchmark data." Earth System Science Data 12, no. 2 (May 1, 2020): 961–1001. http://dx.doi.org/10.5194/essd-12-961-2020.

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Abstract. Emission of greenhouse gases (GHGs) and removals from land, including both anthropogenic and natural fluxes, require reliable quantification, including estimates of uncertainties, to support credible mitigation action under the Paris Agreement. This study provides a state-of-the-art scientific overview of bottom-up anthropogenic emissions data from agriculture, forestry and other land use (AFOLU) in the European Union (EU281). The data integrate recent AFOLU emission inventories with ecosystem data and land carbon models and summarize GHG emissions and removals over the period 1990–2016. This compilation of bottom-up estimates of the AFOLU GHG emissions of European national greenhouse gas inventories (NGHGIs), with those of land carbon models and observation-based estimates of large-scale GHG fluxes, aims at improving the overall estimates of the GHG balance in Europe with respect to land GHG emissions and removals. Whenever available, we present uncertainties, its propagation and role in the comparison of different estimates. While NGHGI data for the EU28 provide consistent quantification of uncertainty following the established IPCC Guidelines, uncertainty in the estimates produced with other methods needs to account for both within model uncertainty and the spread from different model results. The largest inconsistencies between EU28 estimates are mainly due to different sources of data related to human activity, referred to here as activity data (AD) and methodologies (tiers) used for calculating emissions and removals from AFOLU sectors. The referenced datasets related to figures are visualized at https://doi.org/10.5281/zenodo.3662371 (Petrescu et al., 2020).
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Pelster, David, Mariana Rufino, Todd Rosenstock, Joash Mango, Gustavo Saiz, Eugenio Diaz-Pines, German Baldi, and Klaus Butterbach-Bahl. "Smallholder farms in eastern African tropical highlands have low soil greenhouse gas fluxes." Biogeosciences 14, no. 1 (January 12, 2017): 187–202. http://dx.doi.org/10.5194/bg-14-187-2017.

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Abstract. Few field studies examine greenhouse gas (GHG) emissions from African agricultural systems, resulting in high uncertainty for national inventories. This lack of data is particularly noticeable in smallholder farms in sub-Saharan Africa, where low inputs are often correlated with low yields, often resulting in food insecurity as well. We provide the most comprehensive study in Africa to date, examining annual soil CO2, CH4 and N2O emissions from 59 smallholder plots across different vegetation types, field types and land classes in western Kenya. The study area consists of a lowland area (approximately 1200 m a.s.l.) rising approximately 600 m to a highland plateau. Cumulative annual fluxes ranged from 2.8 to 15.0 Mg CO2-C ha−1, −6.0 to 2.4 kg CH4-C ha−1 and −0.1 to 1.8 kg N2O-N ha−1. Management intensity of the plots did not result in differences in annual GHG fluxes measured (P = 0.46, 0.14 and 0.67 for CO2, CH4 and N2O respectively). The similar emissions were likely related to low fertilizer input rates (≤ 20 kg N ha−1). Grazing plots had the highest CO2 fluxes (P = 0.005), treed plots (plantations) were a larger CH4 sink than grazing plots (P = 0.05), while soil N2O emissions were similar across vegetation types (P = 0.59). This study is likely representative for low fertilizer input, smallholder systems across sub-Saharan Africa, providing critical data for estimating regional or continental GHG inventories. Low crop yields, likely due to low fertilization inputs, resulted in high (up to 67 g N2O-N kg−1 aboveground N uptake) yield-scaled emissions. Improvement of crop production through better water and nutrient management might therefore be an important tool in increasing food security in the region while reducing the climate footprint per unit of food produced.
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SIRIN, A. A., and G. G. SUVOROV. "GREENHOUSE GAS EMISSIONS FROM PEAT EXTRACTION SITES IN THE CENTER OF THE EUROPEAN PART OF RUSSIA." Meteorologiya i Gidrologiya, no. 3 (March 2022): 68–80. http://dx.doi.org/10.52002/0130-2906-2022-3-68-80.

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The carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) fluxes measured at a peat extraction site in the Moscow region in different seasons of 2005-2015 are considered. The average daily (taking into account intradaily dynamics) and average annual fluxes (emission factors) of CO2, CH4, and N2O from the interditch spacing (including microscale elevations and depressions) and drainage channels were estimated. The values of CO2 and N2O fluxes from the main interditch surface were equal to 3.3 t C-CO2/(ha year) and 1.1 kg N-N2O/(ha year), respectively; the value of the CH4 flux from the channel was 3200 kg CH4/(ha year). The resulting estimates are consistent with the default emission factors proposed for the “peatland under extraction” land category by the 2013 Supplement to the IPCC 2006 Guidelines for National Greenhouse Gas Inventories: Wetlands. The results can be used for preparing the national report of the Russian Federation on the emission and absorption of greenhouse gases not controlled by the Montreal Protocol
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Deng, Zhu, Philippe Ciais, Zitely A. Tzompa-Sosa, Marielle Saunois, Chunjing Qiu, Chang Tan, Taochun Sun, et al. "Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions." Earth System Science Data 14, no. 4 (April 11, 2022): 1639–75. http://dx.doi.org/10.5194/essd-14-1639-2022.

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Abstract. In support of the global stocktake of the Paris Agreement on climate change, this study presents a comprehensive framework to process the results of an ensemble of atmospheric inversions in order to make their net ecosystem exchange (NEE) carbon dioxide (CO2) flux suitable for evaluating national greenhouse gas inventories (NGHGIs) submitted by countries to the United Nations Framework Convention on Climate Change (UNFCCC). From inversions we also deduced anthropogenic methane (CH4) emissions regrouped into fossil and agriculture and waste emissions, as well as anthropogenic nitrous oxide (N2O) emissions. To compare inversion results with national reports, we compiled a new global harmonized database of emissions and removals from periodical UNFCCC inventories by Annex I countries, and from sporadic and less detailed emissions reports by non-Annex I countries, given by national communications and biennial update reports. No gap filling was applied. The method to reconcile inversions with inventories is applied to selected large countries covering ∼90 % of the global land carbon uptake for CO2 and top emitters of CH4 and N2O. Our method uses results from an ensemble of global inversions produced by the Global Carbon Project for the three greenhouse gases, with ancillary data. We examine the role of CO2 fluxes caused by lateral transfer processes from rivers and from trade in crop and wood products and the role of carbon uptake in unmanaged lands, both not accounted for by NGHGIs. Here we show that, despite a large spread across the inversions, the median of available inversion models points to a larger terrestrial carbon sink than inventories over temperate countries or groups of countries of the Northern Hemisphere like Russia, Canada and the European Union. For CH4, we find good consistency between the inversions assimilating only data from the global in situ network and those using satellite CH4 retrievals and a tendency for inversions to diagnose higher CH4 emission estimates than reported by NGHGIs. In particular, oil- and gas-extracting countries in central Asia and the Persian Gulf region tend to systematically report lower emissions compared to those estimated by inversions. For N2O, inversions tend to produce higher anthropogenic emissions than inventories for tropical countries, even when attempting to consider only managed land emissions. In the inventories of many non-Annex I countries, this can be tentatively attributed to a lack of reporting indirect N2O emissions from atmospheric deposition and from leaching to rivers, to the existence of natural sources intertwined with managed lands, or to an underestimation of N2O emission factors for direct agricultural soil emissions. Inversions provide insights into seasonal and interannual greenhouse gas fluxes anomalies, e.g., during extreme events such as drought or abnormal fire episodes, whereas inventory methods are established to estimate trends and multi-annual changes. As a much denser sampling of atmospheric CO2 and CH4 concentrations by different satellites coordinated into a global constellation is expected in the coming years, the methodology proposed here to compare inversion results with inventory reports (e.g., NGHGIs) could be applied regularly for monitoring the effectiveness of mitigation policy and progress by countries to meet the objective of their pledges. The dataset constructed by this study is publicly available at https://doi.org/10.5281/zenodo.5089799 (Deng et al., 2021).
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Zhang, X., X. Lee, T. J. Griffis, J. M. Baker, and W. Xiao. "Estimating regional greenhouse gas fluxes: an uncertainty analysis of planetary boundary layer techniques and bottom-up inventories." Atmospheric Chemistry and Physics 14, no. 19 (October 10, 2014): 10705–19. http://dx.doi.org/10.5194/acp-14-10705-2014.

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Abstract. Quantification of regional greenhouse gas (GHG) fluxes is essential for establishing mitigation strategies and evaluating their effectiveness. Here, we used multiple top-down approaches and multiple trace gas observations at a tall tower to estimate regional-scale GHG fluxes and evaluate the GHG fluxes derived from bottom-up approaches. We first applied the eddy covariance, equilibrium, inverse modeling (CarbonTracker), and flux aggregation methods using 3 years of carbon dioxide (CO2) measurements on a 244 m tall tower in the upper Midwest, USA. We then applied the equilibrium method for estimating CH4 and N2O fluxes with 1-month high-frequency CH4 and N2O gradient measurements on the tall tower and 1-year concentration measurements on a nearby tall tower, and evaluated the uncertainties of this application. The results indicate that (1) the flux aggregation, eddy covariance, the equilibrium method, and the CarbonTracker product all gave similar seasonal patterns of the regional CO2 flux (105−106 km2, but that the equilibrium method underestimated the July CO2 flux by 52–69%. (2) The annual budget varied among these methods from −54 to −131 g C–CO2 m−2 yr−1, indicating a large uncertainty in the annual CO2 flux estimation. (3) The regional CH4 and N2O emissions according to a top-down method were at least 6 and 2 times higher than the emissions from a bottom-up inventory (Emission Database for Global Atmospheric Research), respectively. (4) The global warming potentials of the CH4 and N2O emissions were equal in magnitude to the cooling benefit of the regional CO2 uptake. The regional GHG budget, including both biological and anthropogenic origins, is estimated at 7 ± 160 g CO2 equivalent m−2 yr−1.
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VanderZaag, A. C., R. J. Gordon, R. C. Jamieson, D. L. Burton, and G. W. Stratton. "Effects of winter storage conditions and subsequent agitation on gaseous emissions from liquid dairy manure." Canadian Journal of Soil Science 90, no. 1 (February 1, 2010): 229–39. http://dx.doi.org/10.4141/cjss09040.

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An understanding of emissions from liquid manure facilities during winter, spring thaw and agitation is needed to improve national emissions inventories in Canada. In this study, liquid dairy manure was stored in six pilot-scale tanks (1.8 m deep × 6.6 m2 surface area) covered by steady-state chambers that enabled greenhouse gas (GHG) and ammonia (NH3) flux measurement. After 158 d of undisturbed storage, three tanks were agitated for 5 d (8 h per day) consecutively. During storage, methane (CH4) flux was correlated with manure temperature at 30 cm depth (P < 0.05). Nitrous oxide (N2O) fluxes occurred only during spring thaw - at rates comparable with agricultural soil during spring thaw. On a carbon dioxide (CO2) equivalent basis, however, cumulative N2O fluxes were negligible compared with CH4 fluxes. Flux of NH3 was correlated positively with manure temperature near the surface and negatively with the presence of ice or a surface crust (P < 0.01). Agitation did not affect N2O and NH3 fluxes, whereas CO2 and CH4 fluxes increased significantly (P < 0.01) as dissolved gas and bubbles were released. Trapped CH4 released during agitation was estimated to be 6.3 g CH4 m-3 manure, and was depleted in 2 d. Considering the entire storage period, agitated tanks (158 d + 5 d agitation) had 6% higher GHG fluxes due to higher CH4 losses than undisturbed tanks (163 d). This CH4 release is small in context of annual fluxes, but may partially explain discrepancies between predicted and measured winter fluxes.Key words: Manure storage, agitation, greenhouse gas emission, ammonia emission, dissolved gas
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Zanger, Benjamin, Jia Chen, Man Sun, and Florian Dietrich. "Recovery of sparse urban greenhouse gas emissions." Geoscientific Model Development 15, no. 20 (October 17, 2022): 7533–56. http://dx.doi.org/10.5194/gmd-15-7533-2022.

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Abstract. To localize and quantify greenhouse gas emissions from cities, gas concentrations are typically measured at a small number of sites and then linked to emission fluxes using atmospheric transport models. Solving this inverse problem is challenging because the system of equations often has no unique solution and the solution can be sensitive to noise. A common top–down approach for solving this problem is Bayesian inversion with the assumption of a multivariate Gaussian distribution as the prior emission field. However, such an assumption has drawbacks when the assumed spatial emissions are incorrect or not Gaussian distributed. In our work, we investigate sparse reconstruction (SR), an alternative reconstruction method that can achieve reasonable estimations without using a prior emission field by making the assumption that the emission field is sparse. We show that this assumption is generally true for the cities we investigated and that the use of the discrete wavelet transform helps to make the urban emission field even more sparse. To evaluate the performance of SR, we created concentration data by applying an atmospheric forward transport model to CO2 emission inventories of several major European cities. We used SR to locate and quantify the emission sources by applying compressed sensing theory and compared the results to regularized least squares (LSs) methods. Our results show that SR requires fewer measurements than LS methods and that SR is better at localizing and quantifying unknown emitters.
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Fiehn, Alina, Julian Kostinek, Maximilian Eckl, Theresa Klausner, Michał Gałkowski, Jinxuan Chen, Christoph Gerbig, et al. "Estimating CH<sub>4</sub>, CO<sub>2</sub> and CO emissions from coal mining and industrial activities in the Upper Silesian Coal Basin using an aircraft-based mass balance approach." Atmospheric Chemistry and Physics 20, no. 21 (November 3, 2020): 12675–95. http://dx.doi.org/10.5194/acp-20-12675-2020.

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Abstract. A severe reduction of greenhouse gas emissions is necessary to reach the objectives of the Paris Agreement. The implementation and continuous evaluation of mitigation measures requires regular independent information on emissions of the two main anthropogenic greenhouse gases, carbon dioxide (CO2) and methane (CH4). Our aim is to employ an observation-based method to determine regional-scale greenhouse gas emission estimates with high accuracy. We use aircraft- and ground-based in situ observations of CH4, CO2, carbon monoxide (CO), and wind speed from two research flights over the Upper Silesian Coal Basin (USCB), Poland, in summer 2018. The flights were performed as a part of the Carbon Dioxide and Methane (CoMet) mission above this European CH4 emission hot-spot region. A kriging algorithm interpolates the observed concentrations between the downwind transects of the trace gas plume, and then the mass flux through this plane is calculated. Finally, statistic and systematic uncertainties are calculated from measurement uncertainties and through several sensitivity tests, respectively. For the two selected flights, the in-situ-derived annual CH4 emission estimates are 13.8±4.3 and 15.1±4.0 kg s−1, which are well within the range of emission inventories. The regional emission estimates of CO2, which were determined to be 1.21±0.75 and 1.12±0.38 t s−1, are in the lower range of emission inventories. CO mass balance emissions of 10.1±3.6 and 10.7±4.4 kg s−1 for the USCB are slightly higher than the emission inventory values. The CH4 emission estimate has a relative error of 26 %–31 %, the CO2 estimate of 37 %–62 %, and the CO estimate of 36 %–41 %. These errors mainly result from the uncertainty of atmospheric background mole fractions and the changing planetary boundary layer height during the morning flight. In the case of CO2, biospheric fluxes also add to the uncertainty and hamper the assessment of emission inventories. These emission estimates characterize the USCB and help to verify emission inventories and develop climate mitigation strategies.
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Dissertations / Theses on the topic "Greenhouse gas inventories and fluxes"

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Welch, Bertie. "Trace greenhouse gas fluxes in upland forests." Thesis, Open University, 2018. http://oro.open.ac.uk/55812/.

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Tree stems can act as a conduit for trace greenhouse gases (GHG) produced in the soil. However, the majority of studies describing tree stem fluxes of methane (CH₄) and nitrous oxide (N₂O) have focused on wetland ecosystems. Tree stem fluxes of GHGs on free-draining soils are understudied, but they are assumed to be a source of CH₄ and a weak source of N₂O. The work presented in this thesis aimed to determine how climatic variables, soil abiotic conditions, and tree species influence CH₄ and N₂O fluxes in forests on free-draining soil. Soil and stem CH₄ and N₂O fluxes were measured in lowland tropical rainforest in Panama, Central America and temperate woodland in the UK, using chambers installed on the forest floor or strapped to individual stems of two common tree species. Air samples were collected every two to four weeks during 5 months in 2014 and during November 2015 at the tropical site, and between February 2015 and January 2016 at the temperate site. Tree stem CH₄ fluxes differed significantly between species at both sites and stem N₂O fluxes also differed between species at the tropical site. However, there was little variation in soil CH₄ or N₂O fluxes. At both sites, tree-mediated CH₄ fluxes declined from positive values (emission) at the stem base to negative values (uptake) higher up. Stem CH₄ fluxes generally increased significantly with solar radiation, suggesting a link to photosynthetic activity mediated by tree water transport. Collectively, these results show that trees on free-draining soils could act as net sinks for CH₄ and N₂O. These findings will improve GHG budgets because tree stem uptake is currently unaccounted for. In particular, if uptake of CH₄ by tree stems on free-draining soils is widespread, the global terrestrial CH₄ sink could be much larger than currently estimated.
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Dinsmore, Kerry J. "Atmosphere-soil-stream greenhouse gas fluxes from peatlands." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/4040.

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Peatlands cover approximately 2-3% of the world’s land area yet represent approximately a third of the worlds estimated total soil carbon pool. They therefore play an important role in regulating global atmospheric CO2 and CH4 concentrations, and even minor changes in their ability to store carbon could potentially have significant effects on global climate change. Much previous research has focussed primarily on land-atmosphere fluxes. Where aquatic fluxes have been considered, they are often in isolation from the rest of the catchment and usually focus on downstream losses, ignoring evasion (degassing) from the water surface. However, as peatland streams have been repeatedly shown to be highly supersaturated in both CO2 and CH4 with respect to the atmosphere, they potentially represent an important pathway for catchment GHG losses. This study aimed to a) create a complete GHG and carbon budget for Auchencorth Moss catchment, Scotland, linking both terrestrial and aquatic fluxes, and b) understand what controls and drives individual fluxes within this budget. This understanding was further developed by a short study of C exchange at the peat-aquatic interface at Mer Bleue peatland, Canada. Significant variability in soil-atmosphere fluxes of both CH4 and N2O emissions was evident at Auchencorth Moss; coefficients of variation across 21 field chambers were 300% and 410% for CH4 and N2O, respectively. Both in situ chamber measurements and a separate mesocosm study illustrated the importance of vegetation in controlling CH4 emissions. In contrast to many previous studies, CH4 emissions were lower and uptake greater where aerenchymous vegetation was present. Water table depth was also an important driver of variability in CH4 emissions, although the effect was only evident during either periods of extreme drawdown or when the water table was consistently near or above the peat surface. Significant pulses in both CH4 and N2O emissions were observed in response to fluctuations in water table depth. Despite the variability in CH4 and N2O emissions and the uncertainty in up-scaled estimates, their contribution to the total GHG and carbon budgets was minor. Concentrations of dissolved CO2 in peatland drainage waters ranged from a mean of 2.88 ± 0.09 mg C L-1 in the Black Burn, Scotland, to a mean of 7.64 ± 0.80 mg C L-1 in water draining Mer Bleue, Canada. Using non-dispersive infra-red (NDIR) CO2 sensors with a 10-minute measurement frequency, significant temporal variability was observed in aquatic CO2 concentrations at the 2 contrasting field sites. However, the drivers of this variability differed significantly. At Mer Bleue, Canada, biological activity in the water column led to clear diurnal cycles, whereas in the Black Burn draining Auchencorth Moss, dilution due to discharge was the primary driver. The NDIR sensor data also showed differences in soil-stream connectivity both between the sites (connectivity was weak at Mer Bleue) and across the range of conditions measured at Auchencorth Moss i.e. connectivity increased during periods of stormflow. Compiling the results from both the terrestrial and aquatic systems at Auchencorth Moss indicated that the catchment was functioning as a net sink for GHGs (382 kg CO2-eq ha-1 yr-1) and a net source of carbon (143 kg C ha-1 yr-1). The greatest flux of GHGs was via net ecosystem exchange (NEE). Terrestrial emissions of CH4 and N2O combined returned only ~5% of CO2-equivalents captured by NEE to the atmosphere, whereas evasion of CO2, CH4 and N2O from the stream surface returned ~40%. The budgets clearly show the importance of aquatic fluxes at Auchencorth Moss and highlight the potential for significant error in source/sink strength calculations if they are omitted. Furthermore, the process based understanding of soil-stream connectivity suggests the aquatic flux pathway may play an increasingly important role in the source-sink function of peatlands under future management and climate change scenarios.
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Skoglund, Björn. "Diffusive gas fluxes in neotropical rainforest streams." Thesis, Umeå universitet, Institutionen för ekologi, miljö och geovetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-105692.

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Rainforests are of great importance to global carbon cycling, but the importance of deforestation and change in land use is poorly understood due to a lack of studies quantifying the difference in carbon fluxes between original rainforest and agricultural land. Furthermore, the aquatic outgassing of neotropical systems have been proven to have greater impact on global carbon cycling than previously anticipated (Richey et al 2002).In this study we investigated the aquatic concentration and daily diffusive gas flux of CO2 and CH4 from 4 pristine sites and 4 impacted sites, respectively, in 4 streams running along a gradient of anthropological impaction in the Atlantic Rainforest, Brazil. Statistically significant differences between pristine and impacted sites were found in all streams for both CO2 and CH4. On average, the impacted sites were found to be emitting almost three times as much C into the atmosphere as the pristine sites, mainly owing to CO2 emissions (14172±5226 mg C m-2 d-1). Exploring an area of the neotropical carbon cycle that is not yet fully understood, the study draws attention to the significant difference in aquatic outgassing from rivers observed at different impaction levels and highlights the need for further field studies.
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Nkongolo, Nsalambi Vakanda. "Quantification of greenhouse gas fluxes from soil in agricultural fields." Thesis, Nelson Mandela Metropolitan University, 2010. http://hdl.handle.net/10948/1474.

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Field studies were conducted at Lincoln University of Missouri (USA) and Hokkaido University (Japan) to: (i) study the relationships between greenhouse gases emissions and soil properties, (ii) assess the influence of agricultural practices on greenhouse gas fluxes and soil properties and (iii) improve the quantification of greenhouse gases from soil in agricultural fields using geospatial technologies. Results showed that besides soil temperature (T), soil thermal properties such as thermal conductivity (K), resistivity (R) and diffusivity (D) and soil pore spaces indices such as the pore tortuosity factor and the relative gas diffusion coefficient (Ds/Do) are controlling factors for greenhouse gases emissions. Soil thermal properties correlated with greenhouse gases emissions when soil temperature could not. The study has found that predicted Ds/Do and correlate with greenhouse gas fluxes even when the air-filled porosity and the total porosity from which they are predicted did not. We have also showed that Ds/Do and can be predicted quickly from routine measurements of soil water and air and existing diffusivity models found in the literature. Agricultural practices do seriously impact greenhouse gases emissions as showed by the effect of mechanized tillage operations on soil physical properties and greenhouse gas fluxes in a corn and soybean fields. In fact, our results showed that tractor compaction increased soil resistance to penetration, water, bulk density and pore tortuosity while reducing air-filled porosity, total pore space and the soil gas diffusion coefficient. Changes in soil properties resulted in increased CO2, NO and N2O emissions. Finally, our results also confirmed that greenhouse gas fluxes vary tremendously in space and time. As estimates of greenhouse gas emissions are influenced by the data processing approach, differences between the different calculation approaches leads to uncertainty. Thus, techniques for developing better estimates are needed. We have showed that Geographic Information Systems (GIS), Global Positioning System (GPS), computer mapping and geo-statistics are technologies that can be used to better understand systems containing large amounts of spatial and temporal variability. Our GIS-based approach for quantifying CO2, CH4 and N2O fluxes from soil in agricultural fields showed that estimating (extrapolating) total greenhouse gas fluxes using the “standard” approach – multiplying the average flux value by the total field area – results in biased predictions of field total greenhouse gases emissions. In contrast, the GIS-based approach we developed produces an interpolated map portraying the spatial distribution of gas fluxes across the field from point measurements and later process the interpolated map produced to determine flux zones. Furthermore, processing, classification and modeling enables the computation of field total fluxes as the sum of fluxes in different zones, therefore taking into account the spatial variability of greenhouse gas fluxes.
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Storer, Kate Elizabeth. "Interactions between arbuscular mycorrhizal fungi and soil greenhouse gas fluxes." Thesis, University of York, 2013. http://etheses.whiterose.ac.uk/5022/.

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Arbuscular mycorrhizal fungi (AMF) can form a mutualistic symbiosis with over two-thirds of all land plants, providing phosphorus and/or nitrogen in exchange for carbon. They can have a significant effect on the surrounding soil, altering pH, water content, structure, and drainage. Important greenhouse gases (GHG) including carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) can be influenced by these factors, yet to date the interactions between AMF and soil GHG fluxes are surprisingly understudied. A microcosm system was developed to study GHG fluxes in the presence and absence of AMF hyphae. A central compartment contained an AMF host plant (Zea mays L.), with two outer compartments, that either allowed (AMA) or prevented (NAMA) AMF hyphal access. Organic matter patches of dried, milled, Z. mays leaves mixed with soil were added to the outer compartments to encourage proliferation of AMF hyphae and GHG production. Soil-atmosphere fluxes of N2O, CO2 and CH4 from the outer compartments were quantified, and gas probes were developed to measure N2O concentrations within the organic matter patches. Data from a series of microcosm experiments provide evidence for AMF interactions with soil fluxes of N2O and CO2, but not CH4. Soil CO2 fluxes were found to be a useful non-invasive method for determining the presence of AMF in hyphal compartments. The N2O concentrations in organic patches decreased in AMA treatments, and a subsequent experiment demonstrated that N2O production by nitrifiers may be limited in the presence of AMF hyphae. In contrast, following harvesting, N2O fluxes from organic matter patches were higher in the AMA treatment; possibly because carbon release from severed AMF hyphae fuelled denitrification. These interactions have important implications for N cycling and sustainable agriculture. The evidence presented in this thesis suggests that AMF may play a previously unappreciated role in reducing soil-atmosphere losses of N2O.
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Hermans, Renee Elisabeth Maria. "Impact of forest-to-bog restoration on greenhouse gas fluxes." Thesis, University of Stirling, 2018. http://hdl.handle.net/1893/27319.

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Large areas of northern peatlands have been drained and afforested in the second half of the 20th century with significant impacts on important ecosystem services, including loss of biodiversity and potential changes in C storage. A considerable effort is currently invested into restoring original peatland function and ecosystem services, with an increasing area of newly restored peatland areas over recent years. However, the effect of restoration on the greenhouse gas (GHG) budget is unknown. This study is the first quantification of CO2, CH4 and N2O fluxes from forest-to-bog restoration sites spanning 0 to 17 years in age. Further, the impact of afforestation on peat decomposition is measured in situ, and the impact of afforestation on the biochemical composition of the peat in relation to CO2 and CH4 fluxes is investigated. Results show that forest-to-bog restoration is successful from a GHG perspective, since all three major GHG fluxes of the restoration sites are changing along the chronosequence towards the fluxes from near pristine bog sites. The peat decomposition rate under the forest plantations is a big part of the total soil respiration at 126.8 ± 14.7 g C m-2 y-1 (44% of total soil CO2 efflux) and our results indicate a slowing down of peat decomposition towards the near pristine bog. CH4 fluxes increase with restoration age, whilst all sites remain a small sink for N2O. I observed changes in peat quality and nutrient availability in the pore water under forests. Different CO2 fluxes between vegetation-free peat cores from different sites for the same temperature and water level show that these differences in peat quality and nutrient availability shape the biogeochemical processes in the peatlands. However only small differences in CH4 fluxes between sites were evident, suggesting that on its own (and in absence of biotic interactions under field conditions), forestry effects on CH4 flux are limited.
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Pitt, Joseph. "Novel methods to constrain regional greenhouse gas fluxes using aircraft data." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/novel-methods-to-constrain-regional-greenhouse-gas-fluxes-using-aircraft-data(e9aea30c-dd81-43c6-917b-27e22b32352f).html.

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Anthropogenically induced changes to the Earth's climate system are widely accepted to be one of the greatest threats to the sustainable future of humanity. Greenhouse gas emissions constitute the largest driving factor behind these changes, and with annual emissions still increasing further perturbation is projected. Accurate quantification of these emissions, broken down both spatially and sectorally, is vitally important in guiding effective policy for emission reduction at both national and international levels. This thesis focusses on methods to improve top-down estimates for greenhouse gas emissions within the UK, using data sampled on board the UK atmospheric research aircraft. Novel instrumentation and analytical techniques are presented and evaluated, based on measurements made as part of the GAUGE (Greenhouse gAs UK and Global Emissions) and MAMM (Methane and other greenhouse gases in the Arctic: Measurements, process studies and Modelling) projects. A new quantum cascade laser absorption spectrometer (QCLAS) for measuring CH4 and N2O on board the aircraft has been characterised. Its performance was evaluated over 17 flights during summer 2016, and a sensitivity to changes in aircraft cabin pressure was observed. A new calibration procedure was derived to minimise the effect of this sensitivity on the data, and the impact of this new procedure was quantified through analysis of in-flight target cylinder measurements and comparison against simultaneous CH4 measurements made using a previously characterised analyser. The impact of water vapour on the retrievals was also investigated, with superior results derived by directly including line broadening due to water vapour in the mole fraction retrieval algorithm. Applying the new calibration procedure to the data, total 1-sigma uncertainties of 2.47 ppb for CH4 and 0.54 ppb for N2O have been calculated for 1 Hz measurement. The British Isles CH4 flux has been derived for a case study on 12 May 2015, using aircraft and ground-based sampling and a combination of local dispersion modelling, global chemical transport modelling and a composite inventory comprised of anthropogenic and natural sources. A new multiple variable regression technique was used to compare measured and modelled CH4 mole fractions, and to derive scale factors used to estimate posterior fluxes based on prior inventory values. A maximal range for the total British Isles CH4 flux has been calculated to be 67 kg/s -- 121 kg/s, with a central estimate of 103 kg/s based on an assessment of the most likely apportionnment of model uncertainty. A further case study measuring CO2, CH4 and CO fluxes from London and surrounding urban areas using a mass balance technique has also been performed. Fluxes have been found to be a factor of ~0.7 lower for CH4, ~0.8 lower for CO, and ~1.3 higher for CO2, relative to a similar study in 2012. Likely sources of difference between the derived fluxes, as well as the overall utility of this technique, have been assessed.
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Adams, Christopher Alan. "Carbon Burial and Greenhouse Gas Fluxes of New Intertidal and Saltmarsh Sediments." Thesis, University of East Anglia, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.514279.

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Carbon (C) and nitrogen (N) burial within new intertidal and saltmarsh sediments from the Blackwater estuary, Essex were investigated. These sediments were created as part of a 'managed realignment' of coastal sea defences in the East of England to address issues such as loss of intertidal habitat, the effects of relative sea level rise and the unfeasibility of maintaining aging sea defences. The fluxes of greenhouse gases (CH4 & N20) from the sediments were quantified using non-steady state chambers and their ability to offset a portion of the C burial to give net carbon sequestration was investigated. C and N contents in natural intertidal sediments were higher than in managed realignment (MR) sediments and comparable to saltmarsh sediments from around the East coast of England. Mature MR sites possessed C and N burial rates at least as great as natural marshes and if increased sedimentation in these predominantly low lying intertidal areas is accounted for, the mature MR sites far outstrip natural marsh C burial rates. Less mature, MR midmarsh areas had lower C and N burial rates more inline with those found in intertidal mudflats. Both natural and MR intertidal areas were small sources of the powerful greenhouse gases CH4 (0.10-0.40 g m'2 y(l) and N20 (0.03-0.37 g M-2 y('). These gas fluxes reduced net C sequestration within the MR marshes by as much as 49%, but by only 2% from natural saltmarshes. The current C sequestration of Blackwater estuary managed realignment sites is -690 tonnes of CO2eq yr' (carbon dioxide equivalents). If the total area identified as potentially suitable for MR to take place is reverted back to intertidal area this will sequester -10200 tonnes of CO2eq yr' and -440 tonnes of N per year. Another -480 tonnes N will be removed through denitrification and -80-320 tonnes P yr"' will be buried within the new intertidal areas.
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Girkin, Nicholas T. "Tropical forest greenhouse gas emissions : root regulation of soil processes and fluxes." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/52949/.

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Tropical forested peatlands are a major carbon store and are a significant source of global carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) emissions. While the role of environmental variables, including temperature and water table depth have been relatively well studied, uncertainty remains in the extent to which plant roots regulate greenhouse gas (GHG) fluxes and peat biogeochemistry. This study examined the role of roots, and root inputs of carbon and oxygen in regulating fluxes from peat under two dominant plant species, Campnosperma panamensis and Raphia taedigera, a broadleaved evergreen tree and canopy palm, in San San Pond Sak wetland, in Bocas del Toro Province, Panama. A combination of in situ and ex situ experiments were performed between February 2015 and August 2017. Small scale variation in GHG fluxes and peat biogeochemistry was measured at two distances within the rooting zones of C. panamensis and R. taedigera. Peat organic matter properties were assessed using Rock-Eval 6 pyrolysis. Results indicated significant variation in CH4 but not CO2 fluxes at different distances within the rooting zone, with CH4 fluxes subsequently linked to measures of the overall size of the available organic carbon pool (S2). Rock-Eval pyrolysis data was used to construct a three-pool model of organic matter thermostability which indicated significant differences in organic matter composition between peats derived from different botanical origins, in addition to a high level of heterogeneity within the rooting zone. Changes in GHG production and peat biogeochemical properties in response to the addition of root exudate analogues were assessed in an ex situ anoxic incubation experiment. A combination of organic acids and sugars, identified as common forest plant root exudate components, were added over a two week period to peats derived from C. panamensis and R. taedigera. GHG fluxes varied significantly between treatments but not by peat botanical origin, and were associated with significant changes in soil properties including, pH and redox potential, thereby demonstrating a link between plant root carbon inputs, peat properties and GHG fluxes. In situ mesocosms were used to assess the effects of root exclusion on peat biogeochemistry and GHG fluxes. Partial and full root exclusion significantly reduced dissolved oxygen concentrations and was associated with greater root necromass. Full root exclusion increased CH4 fluxes five-six fold compared to partial root exclusion, equivalent to an 86 - 90% reduction in CH4 oxidation, demonstrating the important role of root inputs of oxygen in mitigating CH4 efflux from tropical peat. A 13CO2 pulse labelling experiment was conducted using both R. taedigera, C. panamensis, and Symphonia globulifera, a second broadleaved evergreen tree species, to demonstrate a direct link between plant photosynthesis and CH4 fluxes, and identify aspects of the bacterial and fungal community associated with the turnover of labile carbon. The extent of 13C enrichment of CH4 differed significantly between plant types (palms vs broadleaved evergreen trees), as did the extent of net CH4 efflux. Phospholipid fatty acid (PLFA) biomarker analysis indicated both peat types were dominated by Gram negative bacteria. There was strong 13C enrichment of Gram negative bacteria, supporting their previously proposed role as important decomposers of labile carbon. Collectively, these results demonstrate that root inputs of carbon and oxygen can strongly regulate tropical peatland GHG fluxes, and that the extent of regulation can vary significantly between tropical wetland plant species from contrasting dominant plant types. This is particularly important in understanding regulatory processes in a globally significant carbon store and understanding possible consequences of land use change in the tropics.
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Vardag, Sanam Noreen [Verfasser], and Ingeborg [Akademischer Betreuer] Levin. "Greenhouse gas measurements with the Fourier Transform Infrared analyser – Our tool to study greenhouse gas fluxes / Sanam Noreen Vardag ; Betreuer: Ingeborg Levin." Heidelberg : Universitätsbibliothek Heidelberg, 2016. http://d-nb.info/118061478X/34.

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Books on the topic "Greenhouse gas inventories and fluxes"

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Jonas, Matthias, Zbigniew Nahorski, Sten Nilsson, and Thomas Whiter, eds. Greenhouse Gas Inventories. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1670-4.

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Braatz, Barbara V., Bubu P. Jallow, Sándor Molnár, Daniel Murdiyarso, Martha Perdomo, and John F. Fitzgerald, eds. Greenhouse Gas Emission Inventories. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-017-1722-9.

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Ometto, Jean P., Rostyslav Bun, Matthias Jonas, and Zbigniew Nahorski, eds. Uncertainties in Greenhouse Gas Inventories. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15901-0.

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Tremblay, Alain, Louis Varfalvy, Charlotte Roehm, and Michelle Garneau, eds. Greenhouse Gas Emissions — Fluxes and Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-26643-3.

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Tremblay, ALain, Louis Varfalvy, Charlotte Roehm, and Michelle Garneau, eds. Greenhouse Gas Emissions — Fluxes and Processes. Berlin/Heidelberg: Springer-Verlag, 2005. http://dx.doi.org/10.1007/b137840.

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Jonas, Matthias. Greenhouse Gas Inventories: Dealing With Uncertainty. Dordrecht: Springer Science+Business Media B.V., 2011.

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Eggleston, Simon. 2006 IPCC guidelines for national greenhouse gas inventories. Kanagawa (Japan): Institute for Global Environmental Strategies, 2006.

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Kim, Brian Y. Guidebook on preparing airport greenhouse gas emissions inventories. Washington, D.C: Transportation Research Board, 2009.

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Environment, Alberta Alberta. Alberta environment report on 2006 greenhouse gas emissions. Edmonton: Climate Change Policy Unit, 2007.

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Lammers, P. E. M. Country/region-specific emmission factors in national greenhouse gas inventories. Amsterdam: Institute for Environmental Studies, Vrije Universiteit, 1997.

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Book chapters on the topic "Greenhouse gas inventories and fluxes"

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Ciais, P., P. Rayner, F. Chevallier, P. Bousquet, M. Logan, P. Peylin, and M. Ramonet. "Atmospheric inversions for estimating CO2 fluxes: methods and perspectives." In Greenhouse Gas Inventories, 69–92. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1670-4_6.

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Rivier, L., Ph Peylin, Ph Ciais, M. Gloor, C. Rödenbeck, C. Geels, U. Karstens, Ph Bousquet, J. Brandt, and M. Heimann. "European CO2 fluxes from atmospheric inversions using regional and global transport models." In Greenhouse Gas Inventories, 93–115. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1670-4_7.

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Gusti, M., and M. Jonas. "Terrestrial full carbon account for Russia: revised uncertainty estimates and their role in a bottom-up/top-down accounting exercise." In Greenhouse Gas Inventories, 159–74. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1670-4_10.

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Jonas, Matthias, M. Gusti, W. Jęda, Z. Nahorski, and S. Nilsson. "Comparison of preparatory signal analysis techniques for consideration in the (post-)Kyoto policy process." In Greenhouse Gas Inventories, 175–213. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1670-4_11.

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Bun, A., K. Hamal, M. Jonas, and M. Lesiv. "Verification of compliance with GHG emission targets: annex B countries." In Greenhouse Gas Inventories, 215–25. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1670-4_12.

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Bun, R., Kh Hamal, M. Gusti, and A. Bun. "Spatial GHG inventory at the regional level: accounting for uncertainty." In Greenhouse Gas Inventories, 227–44. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1670-4_13.

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Leip, Adrian. "Quantitative quality assessment of the greenhouse gas inventory for agriculture in Europe." In Greenhouse Gas Inventories, 245–61. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1670-4_14.

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Horabik, Joanna, and Zbigniew Nahorski. "A statistical model for spatial inventory data: a case study of N2O emissions in municipalities of southern Norway." In Greenhouse Gas Inventories, 263–76. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1670-4_15.

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Ermolieva, Tatiana, Yuri Ermoliev, Günther Fischer, Matthias Jonas, Marek Makowski, and Fabian Wagner. "Carbon emission trading and carbon taxes under uncertainties." In Greenhouse Gas Inventories, 277–89. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1670-4_16.

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Stańczak, Jarosław, and Paweł Bartoszczuk. "CO 2 emission trading model with trading prices." In Greenhouse Gas Inventories, 291–301. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1670-4_17.

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Conference papers on the topic "Greenhouse gas inventories and fluxes"

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Cong, Richao, Makoto Saito, Ryuichi Hirata, Akihiko Ito, and Shamil Maksyutov. "Uncertainty Analysis on Global Greenhouse Gas Inventories from Anthropogenic Sources." In International Conference of Recent Trends in Environmental Science and Engineering. Avestia Publishing, 2018. http://dx.doi.org/10.11159/rtese18.141.

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Evans, Wayne F. J., and Eldon Puckrin. "Remote sensing measurements of greenhouse gas radiative fluxes." In Optical Technologies for Industrial, Environmental, and Biological Sensing, edited by James O. Jensen and Jean-Marc Theriault. SPIE, 2004. http://dx.doi.org/10.1117/12.519191.

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Zak, Bernard, Brett Bader, Ray Bambha, Hope Michelsen, Mark Boslough, and Andrew R. Jacobson. "Reduction of uncertainties in remote measurement of greenhouse gas fluxes." In 2010 IEEE Aerospace Conference. IEEE, 2010. http://dx.doi.org/10.1109/aero.2010.5447028.

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Jarnicka, Jolanta, and Zbigniew Nahorski. "Estimation of Temporal Uncertainty Structure of Greenhouse Gas Inventories for Selected EU Countries." In 2016 Federated Conference on Computer Science and Information Systems. IEEE, 2016. http://dx.doi.org/10.15439/2016f318.

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Unitsky, A. E., S. V. Artyushevskiy, N. S. Zyl, I. V. Naletov, and A. M. Pavljuchenko. "REDUCING MAIN GREENHOUSE GAS FLUXES IN UST TRANSPORT AND INFRASTRUCTURE SOLUTIONS." In SAKHAROV READINGS 2022: ENVIRONMENTAL PROBLEMS OF THE XXI CENTURY. International Sakharov Environmental Institute of Belarusian State University, 2022. http://dx.doi.org/10.46646/sakh-2022-2-328-332.

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The article describes the major advantages of Unitsky String Transport (uST) over traditional transport systems, including as related to the environmental component. The example of the study describes in which way string transport allows to reduce the natural fluxes of CO2, CH4 and N2O thanks to the under-track-structure soil cover allocated for growing plants and agricultural crops, as illustrated by the example of planting Jerusalem artichoke.
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Haywood, Andrew, Alessio Alfonsetti, Antonia Ortmann, and Darlynne Takawo. "Improving national greenhouse gas inventories for forestry and land use change using open-source software." In IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7326539.

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Butlers, Aldis, and Andis Lazdins. "Case study on greenhouse gas (GHG) fluxes from flooded former peat extraction fields in central part of Latvia." In Research for Rural Development 2022 : annual 28th international scientific conference proceedings. Latvia University of Life Sciences and Technologies, 2022. http://dx.doi.org/10.22616/rrd.28.2022.006.

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Flooded Land is defined as water bodies where human activities have caused changes in the amount of surface area covered by water, typically through water level regulation. Former peat extraction fields are a type of flooded lands which are often mentioned as significant source of greenhouse gas (GHG) emissions. In Latvia, the area of flooded lands in former peat extraction fields is 5.3 kha. The aim of the study is to evaluate GHG emissions from flooded former peat extraction fields to define that the flooded lands are the key source of GHG emissions and approve that further studies are necessary to elaborate country specific emission factors. The study is implemented in three areas in central part of the country, where peat extraction was stopped 25-35 years ago. Measures continued for 12 months, in 9 subplots, each was represented by 3 measurement points. Water and air temperature, as well as water level was measured during the study. According to the study results, flooded areas are a significant source of CO2 emissions (967±107 kg CO2-C ha‑1 yr-1); however, the most significant agent of GHG emissions in flooded areas is methane (CH4) – 435±98 kg CH4-C kg ha-1 yr-1. Flooded areas are not significant source of nitrous oxide (N2O) emissions. The net emissions from flooded areas are 18.1±3.7 tons CO2 eq ha-1 yr-1. According to the study results, flooded lands are a significant (one of the largest) source of emissions, and further studies are necessary to improve GHG modelling solutions and activity data.
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Liang, Yu-Ming, Shi-Ping Jin, Zhi-Dong Zeng, Yao Li, Yu-Hui Jin, and Yan Long. "The Research of Greenhouse Gas Emission Inventories for Energy Activities in China Based on IPCC Guidelines – From District Level to National Level." In International Conference on New Energy and Sustainable Development (NESD 2016). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813142589_0057.

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"Neural network analysis on the effect of heat fluxes on greenhouse gas emissions from anaerobic swine waste treatment lagoon." In ASABE 1st Climate Change Symposium: Adaptation and Mitigation. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/cc.20152123798.

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Panchenko, Mikhail V., Dmitriy A. Pestunov, Valentina M. Domysheva, and Vyatcheslav G. Ivanov. "Assessment of the spatial distribution of the direction of greenhouse gas fluxes at the Krasnoyarsk water reservoir in the warm season of 2017." In XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, edited by Oleg A. Romanovskii and Gennadii G. Matvienko. SPIE, 2018. http://dx.doi.org/10.1117/12.2504508.

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Reports on the topic "Greenhouse gas inventories and fluxes"

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Ewing, Jennifer. ANALYZING DRIVERS OF CHANGE IN GREENHOUSE GAS EMISSIONS INVENTORIES. Office of Scientific and Technical Information (OSTI), May 2021. http://dx.doi.org/10.2172/1783197.

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Chand Sandhu, Sonia, and Sameer Kamal. Greenhouse Gas Inventories for Urban Operations in Southeast Asia: Challenges and Opportunities. Asian Development Bank, June 2015. http://dx.doi.org/10.22617/wps157443-2.

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