2017
DOI: 10.1016/j.geoderma.2017.07.032
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Effects of nitrogen fertilizer, soil temperature and moisture on the soil-surface CO 2 efflux and production in an oasis cotton field in arid northwestern China

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Cited by 28 publications
(7 citation statements)
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“…However, both production rates and cumulative emissions of CO 2 in all soils increased with increasing WHC after 4 days of incubation. The result of elevated CO 2 emission with increasing moisture was consistent with other studies (Borken et al, 2003;Maucieri et al, 2017;Wang et al, 2015;Yu et al, 2017). Water-blocked soil pores and reduced diffusivity could be responsible for increasing CO 2 emissions under excessive soil moisture stress, and result in the accumulation of CO 2 in the soil profile (Gaumont-Guay et al, 2006;Pumpanen et al, 2008).…”
Section: Discussionsupporting
confidence: 90%
“…However, both production rates and cumulative emissions of CO 2 in all soils increased with increasing WHC after 4 days of incubation. The result of elevated CO 2 emission with increasing moisture was consistent with other studies (Borken et al, 2003;Maucieri et al, 2017;Wang et al, 2015;Yu et al, 2017). Water-blocked soil pores and reduced diffusivity could be responsible for increasing CO 2 emissions under excessive soil moisture stress, and result in the accumulation of CO 2 in the soil profile (Gaumont-Guay et al, 2006;Pumpanen et al, 2008).…”
Section: Discussionsupporting
confidence: 90%
“…The F 14 CO 2 values from the surface chambers are lower than the F 14 CO 2 values associated with any of the microcosms, suggesting that the surface CO 2 effluxes are predominantly derived from younger CO 2 produced in the Ap and A horizons (≤22.5-cm depth) and not older CO 2 produced in the B and C horizons (>22.5-cm depth). This is consistent with our estimated CO 2 flux profile derived from subsurface concentration measurements indicating higher outward fluxes at shallower depths (Figure 3d), as well as with previous work (Alvarez et al, 1995;Drewitt et al, 2005;Fierer et al, 2003;Hashimoto & Komatsu, 2006;Maier & Schack-Kirchner, 2014;Moncrieff & Fang, 1999;Wang et al, 2013;Yu et al, 2017).…”
Section: Discussionsupporting
confidence: 93%
“…y 1 =0.0492-1.1484x 1 -0.1633x 2 -0.0773x 5 -0.0606x 6 The above results show that the stepwise regression equations of the tillage-layer temperature and environmental factors under the different treatments were different. Among them, the simulation equation of the tillage-layer temperature under the BL treatment had the greatest number of environmental factors, with six variables included in the model after variable selection.…”
Section: Construction Of Stepwise Regression Equationsmentioning
confidence: 88%