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List of Abstracts 11P-Sources.6 ID:4307 15:35Transport of Greenhouse Gases in TreesEllynne Kutschera, Aslam Khalil, Marty Shearer, Todd RosenstielPortland State UniversityContact: ekutsche@pdx.eduEmission of the greenhouse gas methane (CH4) has been measured in cultivated and natural regions,quantifying emissions for croplands, wetlands, and forests. However, segregation between soil and plantemissions is less clear, and the dynamics behind each respective emission type differs. A global composite ofgreenhouse gas emissions must include all relevant sources, and current inventories are potentially missinglarge plant-mediated emissions of CH4 from wetland and upland systems. Better defined plant transportmechanisms will yield more accurate determination of CH4 flux, contributing to a comprehensive theoryquantifying greenhouse gas emissions globally. While the mechanisms of CH4 emission from rice have notbeen fully identified, for trees these mechanisms are virtually unknown. CH4 emission from several treespecies (Alnus rubra, Populus trichocarpa, Thuja plicata, Fraxinus latifolia) native to the Pacific Northwesthas been measured. To identify mechanisms of gas transport, correlation between emissions and stomatalconductance, transpiration, and photosynthesis is tested. A synthesis between plant physiological data andemissions is sought to elucidate the role plant physiology plays in the production and transport of CH4.Extrapolation of plant-level emissions to climate-level CH4 fluxes will combines the results of greenhouseexperiments with remotely-sensed vegetation parameters from space-borne instruments.This research was supported in part through NASA/Oregon Space Grant Consortium, grant NNG05GJ85H,and by the Office of Science (BER), U. S. Department of Energy, Grant No. DE-FG02-08ER64515.P-Sources.7 ID:4475 15:35Soil properties effects on carbon loss of mixed deciduous forest soilAmornrat Sangthong, Suphachai Amkha, Kruamas SmakgahnKasetsart University Kampheang Sean Campus, Nakornpathom Provice, ThailandContact: smakgahn@yahoo.comCarbon loss of forest soil in term of CO2 emission was investigated in natural forest (mixed deciduousforest) at the Siridhorn International Environmental Park (SIEP), Phetch-buri province, Thailand. The studywas undertaken in November 2008 to November 2009. Soil and air samples were collected by using darkstatic chamber sizing 30*15*15 (height) cm. In order to keep the system closed throughout the samplecollection, the chamber was placed at a depth of 5 cm in the ground. Sampling of gas from the chambers wascollected in 3 collection periods, morning (8.00-8.30 a.m.), afternoon (12.00-12.30 p.m.) and evening(16.00-16.30 p.m.). The result showed that carbon loss of study site in rainy season was 67% higher than therate in dry season. The result can be concluded that amount of rainfed, soil moisture, soil organic carboneffect soil carbon loss in term of CO2 emission from mixed deciduous forest soil.P-Sources.8 ID:4511 15:35Soil carbon loss and stock of eucalyptus forest soilAmornrat Sangthong, Suphachai Amkha, Kruamas SmakgahnKasetsart University Kampheang Sean Campus, Nakornpathom province, ThailandContact: smakgahn@yahoo.comiCACGP-IGAC 2010 12 July, 2010
List of Abstracts 12The study aims to estimate carbon stock and loss from Eucalyptus forest soil, included considers influencingparameters on carbon loss as carbon-dioxide and methane to atmosphere from Eucalyptus forest soil. Theexperiment was investigated Eucalyptus forest at Kasetsart University at Kamphaeng Saen campus,Nakornpathom province, Thailand. The study was undertaken in November 2008 to August 2009. Air andsoil samples were collected every month. The dark static chamber method was used to collect air sample andto be analyzed for carbon loss by Gas Chromatography. Soil samples were collected and to be analyzed toachieve soil properties included soil carbon loss and stock. Average carbon-dioxide emissions rate for 12months from study site was 66.47 g CO2/m2. Highest emission rate was found in July 2009, which was120.88 g CO2/m2. Lowest emission rate was 21.97 g CO2/m2, which was found in December 2008.However, methane emission from study area was not found. Soil carbon stock in study site was 21.33 g/m2.Soil moisture, soil organic carbon was major influencing factors effect soil carbon loss and stock in studysite.P-Sources.9 ID:4205 15:35Improvement and evaluation of simulated global biogenic soil NO emissions in an AC-GCMJörg Steinkamp 1 , Mark Lawrence 21 MPI for Chemistry/Dept. of atmospheric chemistry2 MPI for Chemistry/Dept. of atmospheric chemistry and University of MainzContact: joerg.steinkamp@mpic.de15 years ago, based on very few measurements, Yienger and Levy (1995) published their algorithm tocalculate soil biogenic emissions of NO (SNOx), which is still the most widely applied in global models.Since then numerous new measurements had been published; based on this, we have built up a database ofworld wide conducted measurements in the field covering the period from 1978 to 2009, including 108publications with 560 measurements.SNOx plays an important direct and indirect role in chemical processes of the troposphere. Recently, severalsatellite based top-down approaches, which recalculated the different emissions sources of NOx (fossil fuel,biomass burning, soil and lightning), have shown an underestimation of SNOx by the algorithm of Yiengerand Levy (1995). Nevertheless, to our knowledge no general improvements of this algorithm have yet beenpublished.Here we present major improvements to the algorithm, which should help to optimize the representation ofSNOx in atmospheric-chemistry global climate models, without modifying the underlying mathematicalequations. The changes include:1) Using a new up to date land cover map, with twice the number of land cover classes, and using annuallyvarying fertilizer application rates;2) Adopting the fraction of SNOx induced by fertilizer application based on our database;3) Switching from soil water column to volumetric soil moisture, to distinguish between the wet and drystate;4) Tuning the emission factors to reproduce the measured emissions in our database and calculate theemissions based on their mean value.These steps lead us to increased global yearly SNOx, and our total SNOx source ends up being close to oneof the top-down approaches. In some geographical regions the new results agree better with the top-downapproach, but there are also distinct differences in other regions. This suggests that a combination of bothtop-down and bottom-up approaches could be combined in a future attempt to provide an even betteriCACGP-IGAC 2010 12 July, 2010
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