2020
DOI: 10.1016/j.agrformet.2020.107960
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Soil greenhouse gas budget of two intensively managed grazing systems

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Cited by 13 publications
(7 citation statements)
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References 42 publications
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“…Perennial natural vegetation, while comprising only 40% of the farm area, mitigated ∼60% of farm emissions. Our results are in support of commonly identified NCS to mitigate GHG emissions, which include high carbon accumulation capacity of pasture ecosystems with conservative nutrient management (Fargione et al., 2018; Griscom et al., 2017; Voglmeier et al., 2020; Wall et al., 2020). Increasing pasturing in dairy cattle production systems often increases enteric fermentation while also reducing milk efficiency (Beukes et al., 2010), but several studies found overall lower GHG budgets of dairy farms that had greater proportions of pastures on farm (Ribeiro‐Filho et al., 2020) due to lower agricultural intensity.…”
Section: Discussionsupporting
confidence: 87%
“…Perennial natural vegetation, while comprising only 40% of the farm area, mitigated ∼60% of farm emissions. Our results are in support of commonly identified NCS to mitigate GHG emissions, which include high carbon accumulation capacity of pasture ecosystems with conservative nutrient management (Fargione et al., 2018; Griscom et al., 2017; Voglmeier et al., 2020; Wall et al., 2020). Increasing pasturing in dairy cattle production systems often increases enteric fermentation while also reducing milk efficiency (Beukes et al., 2010), but several studies found overall lower GHG budgets of dairy farms that had greater proportions of pastures on farm (Ribeiro‐Filho et al., 2020) due to lower agricultural intensity.…”
Section: Discussionsupporting
confidence: 87%
“…Excreta increased CH 4 emissions through deposition effects [116], while emissions decreased over time with aging. According to a study by Voglmeier et al [118], emissions occurred up to 20 days after deposition. Leaching losses of C as DOC were small compared to emission losses of CO 2 [119].…”
Section: Soil Carbon (C)mentioning
confidence: 99%
“…Input data, except for air temperature and CO 2 concentration, was identically allocated to three sets of 59,939 × 60 spatiotemporal units, where each set represented the current climate, RCP 4.5, and RCP 8.5, respectively. With these spatiotemporal units, FBD-CAN simulated photosynthetic CO 2 uptake, respiratory CO 2 emissions (i.e., both autotrophic and heterotrophic respiration), CO 2 absorption (i.e., the difference between photosynthetic CO 2 uptake and respiratory CO 2 emissions), N 2 O emissions, and the GHG budget (in this study, the term denotes the sum of CO 2 absorption and N 2 O emissions) from 2021 to 2080 [56]. We projected the spatial patterns of the GHG budget across South Korean forests for 2021, 2050, and 2080 using the mapping tool in ArcGIS Pro 2.6 [55].…”
Section: Model Simulation and Statistical Analysismentioning
confidence: 99%