2008
DOI: 10.1016/j.scitotenv.2008.03.015
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Gully hotspot contribution to landscape methane (CH4) and carbon dioxide (CO2) fluxes in a northern peatland

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Cited by 58 publications
(57 citation statements)
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References 38 publications
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“…For the Rough Sike sub-catchment this was equivalent to a reduction 1960-1998(M. Evans et al 2006. This example of change in the peatland landscape demonstrates the effect it has on gully land -atmosphere C (McNamara et al 2008) and aquatic (POC) fluxes.…”
Section: Budgets and Fluxes At Moor House (N England)mentioning
confidence: 88%
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“…For the Rough Sike sub-catchment this was equivalent to a reduction 1960-1998(M. Evans et al 2006. This example of change in the peatland landscape demonstrates the effect it has on gully land -atmosphere C (McNamara et al 2008) and aquatic (POC) fluxes.…”
Section: Budgets and Fluxes At Moor House (N England)mentioning
confidence: 88%
“…For C, this is particularly challenging because of the range of dissolved (dissolved organic C [DOC], dissolved inorganic C [DIC]), gaseous (CO 2 , CH 4 ) and particulate (particulate organic C [POC]) species as well as the number of different flux pathways (landatmosphere exchange, water-atmosphere exchange, precipitation, runoff) involved (see Hope et al 1994). Gas exchange with the atmosphere also varies spatially within a landscape unit (McNamara et al 2008, Dinsmore et al 2009b). All fluxes vary spatially and temporally on a daily, seasonal and annual basis.…”
Section: Approaches and Methodologymentioning
confidence: 99%
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“…The riparian zone alone contributed ~12% of the total catchment CH 4 emission, highlighting the importance of identifying and including emission hotspots in catchment budgets even if they cover only a small proportion of the overall area, a result also found by McNamara et al (2008). Even after separating the chambers into groups to minimize spatial variability, the uncertainty within each group was still large.…”
Section: Importance Of Emission Hotspots and Spatial Variability To Umentioning
confidence: 92%
“…Although soil temperature alone was not significant, its exclusion from the model increased the overall model P-value above 0.05 and was therefore included. (Regina et al, 1996;MacDonald et al, 1997;Hargreaves and Fowler, 1998;Laine et al, 2007;McNamara et al, 2008). This is most likely due to the relatively shallow peat layer underlying the chambers limiting CH 4 production and low nitrate availability restricting denitrification.…”
Section: Temporal Variability (Site 2)mentioning
confidence: 99%