Landscape analysis of soil methane flux across complex terrain

dc.contributor.authorKaiser, Kendra E.
dc.contributor.authorMcGlynn, Brian L.
dc.contributor.authorDore, John E.
dc.date.accessioned2018-11-28T23:19:06Z
dc.date.available2018-11-28T23:19:06Z
dc.date.issued2018-05
dc.description.abstractRelationships between methane (CH4) fluxes and environmental conditions have been extensively explored in saturated soils, while research has been less prevalent in aerated soils because of the relatively small magnitudes of CH4 fluxes that occur in dry soils. Our study builds on previous carbon cycle research at Tenderfoot Creek Experimental Forest, Montana, to identify how environmental conditions reflected by topographic metrics can be leveraged to estimate watershed scale CH4 fluxes from point scale measurements. Here, we measured soil CH4 concentrations and fluxes across a range of landscape positions (7 riparian, 25 upland), utilizing topographic and seasonal (29 May-12 September) gradients to examine the relationships between environmental variables, hydrologic dynamics, and CH4 emission and uptake. Riparian areas emitted small fluxes of CH4 throughout the study (median: 0.186 mu g CH4-Cm-2 h(-1)) and uplands increased in sink strength with dry-down of the watershed (median: -22.9 mu g CH4-Cm-2 h(-1)). Locations with volumetric water content (VWC) below 38% were methane sinks, and uptake increased with decreasing VWC. Above 43% VWC, net CH4 efflux occurred, and at intermediate VWC net fluxes were near zero. Riparian sites had near-neutral cumulative seasonal flux, and cumulative uptake of CH4 in the uplands was significantly related to topographic indices. These relationships were used to model the net seasonal CH4 flux of the upper Stringer Creek watershed (-1.75 kg CH4-Cha(-1)). This spatially distributed estimate was 111% larger than that obtained by simply extrapolating the mean CH4 flux to the entire watershed area. Our results highlight the importance of quantifying the space-time variability of net CH4 fluxes as predicted by the frequency distri- bution of landscape positions when assessing watershed scale greenhouse gas balances.en_US
dc.description.sponsorshipNational Science Foundation (1114392, DGE 1644868, EPS-1101342 )en_US
dc.identifier.citationKaiser, Kendra E. , Brian L. McGlynn, and John E. Dore. "Landscape analysis of soil methane flux across complex terrain." Biogeosciences 15, no. 10 (May 2018): 3143-3167. DOI:10.5194/bg-15-3143-2018.en_US
dc.identifier.issn1726-4170
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/15025
dc.language.isoenen_US
dc.rightsCC BY, This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcodeen_US
dc.titleLandscape analysis of soil methane flux across complex terrainen_US
dc.typeArticleen_US
mus.citation.extentfirstpage3143en_US
mus.citation.extentlastpage3167en_US
mus.citation.issue10en_US
mus.citation.journaltitleBiogeosciencesen_US
mus.citation.volume15en_US
mus.data.thumbpage10en_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.doi10.5194/bg-15-3143-2018en_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.departmentLand Resources & Environmental Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US

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