Estimation of CO2 effluxes from suburban forest floor and grass using a process-based model.
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| Title: | Estimation of CO2 effluxes from suburban forest floor and grass using a process-based model. |
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| Authors: | Chun, J.A.1,2 jongahnchun@gmail.com, Szlavecz, K.2, Bernard, M.2, Ferrer, D.2, Hom, J.3, Saliendra, N.4 |
| Source: | Atmospheric Environment. Nov2014, Vol. 97, p346-352. 7p. |
| Subject Terms: | *Carbon dioxide, *Greenhouse gases, *Deciduous forests, *Grasses, Suburbs, Numerical analysis, Thermistors |
| Abstract: | Carbon dioxide is an important greenhouse gas, and its atmospheric concentration has been predicted to increase in the future. The objective of this study was to quantify the soil CO 2 efflux in a suburban area including mixed deciduous forest and grass by numerically modeling the CO 2 transport through the soil profile. Three stations per land-cover (forest and grass) were selected at the Cub Hill site (MD, USA), where the US Forest Service operates an urban flux tower. Six VAISALA CO 2 sensors (Vaisala Inc., Finland) per monitoring station were horizontally installed at 6 different depths (soil surface, 0.02, 0.05, 0.10, 0.20, and 0.30 m from the soil surface) in the mid of May, 2011. Temperature and volumetric soil moisture measurements were taken using thermistors and EC-5 sensors (Decagon devices, Pullman, WA, USA) that were installed at the same depths as the CO 2 sensors except for the soil surface. These data were recorded every 10 min. To evaluate the numerical model (SOILCO2), CO 2 efflux using the standard chamber method was measured once a week. The CO 2 effluxes from the standard chamber method ranged from 3.32 × 10 −9 to 7.28 × 10 −8 m 3 m −2 s −1 and 6.79 × 10 −9 to 1.45 × 10 −7 m 3 m −2 s −1 for forest and grass, respectively. The CO 2 effluxes from “bare” soil at the grass site varied with the range of 3.63 × 10 −8 to 9.37 × 10 −8 m 3 m −2 s −1 . The “pulse effect” (a rapid increase of CO 2 concentrations right after rainfall events) in grass, where changes in soil moisture were larger than in the forest, was more apparent than in the forest. Diurnal patterns similar to those of temperature were observed from CO 2 profiles in soils. The SOILCO2 model estimated the soil CO 2 effluxes with coefficients of correlation of 0.64 and 0.76 at forest and grass, respectively, and root mean square error (RMSE) of 1.58 × 10 −8 and 2.06 × 10 −8 m 3 m −2 s −1 for forest and grass, respectively. This study suggests that the SOILCO2 model can provide a better understanding of the contribution of the soil ecosystem to the carbon cycle in suburban environments including mixed deciduous forest and grass. [ABSTRACT FROM AUTHOR] |
| Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 98356121 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Estimation of CO2 effluxes from suburban forest floor and grass using a process-based model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chun%2C+J%2EA%2E%22">Chun, J.A.</searchLink><relatesTo>1,2</relatesTo><i> jongahnchun@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Szlavecz%2C+K%2E%22">Szlavecz, K.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Bernard%2C+M%2E%22">Bernard, M.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ferrer%2C+D%2E%22">Ferrer, D.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Hom%2C+J%2E%22">Hom, J.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Saliendra%2C+N%2E%22">Saliendra, N.</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Atmospheric+Environment%22">Atmospheric Environment</searchLink>. Nov2014, Vol. 97, p346-352. 7p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Carbon+dioxide%22">Carbon dioxide</searchLink><br />*<searchLink fieldCode="DE" term="%22Greenhouse+gases%22">Greenhouse gases</searchLink><br />*<searchLink fieldCode="DE" term="%22Deciduous+forests%22">Deciduous forests</searchLink><br />*<searchLink fieldCode="DE" term="%22Grasses%22">Grasses</searchLink><br /><searchLink fieldCode="DE" term="%22Suburbs%22">Suburbs</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Thermistors%22">Thermistors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Carbon dioxide is an important greenhouse gas, and its atmospheric concentration has been predicted to increase in the future. The objective of this study was to quantify the soil CO 2 efflux in a suburban area including mixed deciduous forest and grass by numerically modeling the CO 2 transport through the soil profile. Three stations per land-cover (forest and grass) were selected at the Cub Hill site (MD, USA), where the US Forest Service operates an urban flux tower. Six VAISALA CO 2 sensors (Vaisala Inc., Finland) per monitoring station were horizontally installed at 6 different depths (soil surface, 0.02, 0.05, 0.10, 0.20, and 0.30 m from the soil surface) in the mid of May, 2011. Temperature and volumetric soil moisture measurements were taken using thermistors and EC-5 sensors (Decagon devices, Pullman, WA, USA) that were installed at the same depths as the CO 2 sensors except for the soil surface. These data were recorded every 10 min. To evaluate the numerical model (SOILCO2), CO 2 efflux using the standard chamber method was measured once a week. The CO 2 effluxes from the standard chamber method ranged from 3.32 × 10 −9 to 7.28 × 10 −8 m 3 m −2 s −1 and 6.79 × 10 −9 to 1.45 × 10 −7 m 3 m −2 s −1 for forest and grass, respectively. The CO 2 effluxes from “bare” soil at the grass site varied with the range of 3.63 × 10 −8 to 9.37 × 10 −8 m 3 m −2 s −1 . The “pulse effect” (a rapid increase of CO 2 concentrations right after rainfall events) in grass, where changes in soil moisture were larger than in the forest, was more apparent than in the forest. Diurnal patterns similar to those of temperature were observed from CO 2 profiles in soils. The SOILCO2 model estimated the soil CO 2 effluxes with coefficients of correlation of 0.64 and 0.76 at forest and grass, respectively, and root mean square error (RMSE) of 1.58 × 10 −8 and 2.06 × 10 −8 m 3 m −2 s −1 for forest and grass, respectively. This study suggests that the SOILCO2 model can provide a better understanding of the contribution of the soil ecosystem to the carbon cycle in suburban environments including mixed deciduous forest and grass. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.atmosenv.2014.08.044 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 346 Subjects: – SubjectFull: Carbon dioxide Type: general – SubjectFull: Greenhouse gases Type: general – SubjectFull: Deciduous forests Type: general – SubjectFull: Grasses Type: general – SubjectFull: Suburbs Type: general – SubjectFull: Numerical analysis Type: general – SubjectFull: Thermistors Type: general Titles: – TitleFull: Estimation of CO2 effluxes from suburban forest floor and grass using a process-based model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chun, J.A. – PersonEntity: Name: NameFull: Szlavecz, K. – PersonEntity: Name: NameFull: Bernard, M. – PersonEntity: Name: NameFull: Ferrer, D. – PersonEntity: Name: NameFull: Hom, J. – PersonEntity: Name: NameFull: Saliendra, N. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 13522310 Numbering: – Type: volume Value: 97 Titles: – TitleFull: Atmospheric Environment Type: main |
| ResultId | 1 |
