CH<sub>4</sub> and N<sub>2</sub>O fluxes in the Colorado shortgrass steppe: 1. Impact of landscape and nitrogen addition

Mosier, A. R.; Parton, William J.; Valentine, D. W.; Ojima, Dennis S.; Schimel, D.; Delgado, Jorge A.

doi:10.1029/96gb01454

Cited by 214 publications

(174 citation statements)

References 21 publications

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“…Increasing temperature resulted in an exponential increase in N 2 O emission and linear increase in CH 4 consumption on a shortgrass steppe (Mosier et al 1996) while CO 2 emissions increased 25-40% when soil temperature increased by 5 C (Rustad and Fernandez 1998). Similar emission increases were reported by Zhou et al (2006) in upland tallgrass prairie soil and Lang et al (2011) in grassland soils.…”

Section: Introductionsupporting

confidence: 70%

“…World-wide increases in greenhouse gas (GHG) emissions are influenced by agriculture and other anthropogenic activities (Moore and Dalva 1993;Mosier et al 1996;Loro et al 1997). Within the agricultural sector, nitrogen (N) fertilizer application has contributed the most to increases in GHG emission as N influences plant growth, carbon (C) and N mineralization/immobilization, biological activity, and conversion of plant residue into soil organic matter (Hyde et al 2006;Maljanen et al 2006;Al-Kaisi et al 2008).…”

Section: Introductionmentioning

confidence: 99%

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Influence of increasing temperature and nitrogen input on greenhouse gas emissions from a desert steppe soil in Inner Mongolia

Wang

Hao

Shan

et al. 2011

Soil Science and Plant Nutrition

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We investigated the effect of increasing soil temperature and nitrogen on greenhouse gas (GHG) emissions [carbon dioxide (CO 2 ), methane (CH 4 ) and nitrous oxide (N 2 O)] from a desert steppe soil in Inner Mongolia, China. Two temperature levels (heating versus no heating) and two nitrogen (N) fertilizer application levels (0 and 100 kg N ha C or applying 100 kg ha À1 year À1 N fertilizer had no effect on the overall GHG emissions. Seasonal variability in GHG emission reflected changes in temperature and soil moisture content. At an average CH 4 consumption rate of 31.65 mg C m À2 h À1 , the 30.73 million ha of desert steppe soil in Inner Mongolia can consume (sequestrate) about 85 Â 10 6 kg CH 4 -C, an offset equivalent to 711 Â 10 6 kg CO 2 -C emissions annually. Thus, desert steppe soil should be considered an important CH 4 sink and its potential in reducing GHG emission and mitigating climate change warrants further investigation.

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Section: Introductionsupporting

confidence: 70%

Section: Introductionmentioning

confidence: 99%

Influence of increasing temperature and nitrogen input on greenhouse gas emissions from a desert steppe soil in Inner Mongolia

Wang

Hao

Shan

et al. 2011

Soil Science and Plant Nutrition

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“…A possible limitation of such an approach is reduced transferability and predictive capacity in other environments or from a regional to global scale. For example, Ridgwell et al (1996) (Mosier et al, 1996). The order of magnitude difference in k 0 between the R99 and C07 models illustrates the potential model-specific nature of parameter values derived from experimental and observational data, as well as the limits and challenges for transferability.…”

Section: Base Oxidation Rate Constant Kmentioning

confidence: 99%

Soil Methanotrophy Model (MeMo v1.0): a process-based model to quantify global uptake of atmospheric methane by soil

et al. 2018

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Abstract. Soil bacteria known as methanotrophs are the sole biological sink for atmospheric methane (CH 4 ), a potent greenhouse gas that is responsible for ∼ 20 % of the humandriven increase in radiative forcing since pre-industrial times. Soil methanotrophy is controlled by a plethora of factors, including temperature, soil texture, moisture and nitrogen content, resulting in spatially and temporally heterogeneous rates of soil methanotrophy. As a consequence, the exact magnitude of the global soil sink, as well as its temporal and spatial variability, remains poorly constrained. We developed a process-based model (Methanotrophy Model; MeMo v1.0) to simulate and quantify the uptake of atmospheric CH 4 by soils at the global scale. MeMo builds on previous models by Ridgwell et al. (1999) and Curry (2007) by introducing several advances, including (1) a general analytical solution of the one-dimensional diffusion-reaction equation in porous media, (2) a refined representation of nitrogen inhibition on soil methanotrophy, (3) updated factors governing the influence of soil moisture and temperature on CH 4 oxidation rates and (4) the ability to evaluate the impact of autochthonous soil CH 4 sources on uptake of atmospheric CH 4 . We show that the improved structural and parametric representation of key drivers of soil methanotrophy in MeMo results in a better fit to observational data. A global simulation of soil methanotrophy for the period 1990-2009 using MeMo yielded an average annual sink of 33.5 ± 0.6 Tg CH 4 yr −1 . Warm and semi-arid regions (tropical deciduous forest and open shrubland) had the highest CH 4 uptake rates of 602 and 518 mg CH 4 m −2 yr −1 , respectively. In these regions, favourable annual soil moisture content (∼ 20 % saturation) and low seasonal temperature variations (variations < ∼ 6 • C) provided optimal conditions for soil methanotrophy and soil-atmosphere gas exchange. In contrast to previous model analyses, but in agreement with recent observational data, MeMo predicted low fluxes in wet tropical regions because of refinements in formulation of the influence of excess soil moisture on methanotrophy. Tundra and mixed forest had the lowest simulated CH 4 uptake rates of 176 and 182 mg CH 4 m −2 yr −1 , respectively, due to their marked seasonality driven by temperature. Global soil uptake of atmospheric CH 4 was decreased by 4 % by the effect of nitrogen inputs to the system; however, the direct addition of fertilizers attenuated the flux by 72 % in regions with high agricultural intensity (i.e. China, India and Europe) and by 4-10 % in agriculture areas receiving low rates of N input (e.g. South America). Globally, nitrogen inputs reduced soil uptake of atmospheric CH 4 by 1.38 Tg yr −1 , which is 2-5 times smaller than reported previously. In addition to improved characterization of the contemporary soil sink for atmospheric CH 4 , MeMo provides an opportunity to quantify more accurately the relative importance of soil methanotrophy in the global CH 4 cycle in the past and its capaci...

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“…In the presence of a budget constraint, increasing land use intensity on irrigated land could help improve water use efficiency in an economical manner (Armstrong, 2004). The C-F, C-IF and R-IF pastures were expected to exhibit higher CO 2 emissions per ha because increased use of N fertilizer was correlated with increased N 2 O emissions from pasture (Mosier et al, 1996) particularly under wet conditions (Luo et al, 2008;Saggar et al, 2007). However in this scenario, the decreased land requirement, in combination with moderate decreases in enteric CH 4, may have counterbalanced the predicted increase in N 2 O emissions.…”

Section: Water Usementioning

confidence: 99%

Optimizing diet and pasture management to improve sustainability of U.S. beef production

White

Brady

Capper³

et al. 2014

Agricultural Systems

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a b s t r a c tSystem sustainability balances environmental impact, economic viability and social acceptability. Assessment methods to investigate impacts of enterprise management and consumer decisions on sustainability of beef cattle operations are critically needed. Tools of this nature are especially important given the predictions of climate variability and the dependence of beef production systems on forage availability. A model optimizing nutritional and pasture management was created to examine the environmental impact of beef production. The model integrated modules calculating cradle-to-farm gate environmental impact, diet cost, pasture growth and willingness to pay (WTP). Least-cost diet and pasture management options served as a baseline to which environmental-impact reducing scenarios were compared. Economic viability was ensured by a constraint limiting change in diet cost to less than consumer WTP. Increased WTP was associated with improved social acceptability. Model outputs were evaluated by comparing to published data. Sensitivity analysis of the WTP constraint was conducted. A series of scenarios then examined how forecasted changes in precipitation patterns might alter forage supply and opportunities to reduce environmental impact in three regions in the United States. On a national scale, single-objective optimization indicated individual reductions in greenhouse gases (GHG), land use and water use of 3.6%, 5.4% and 4.3% were possible by changing diets. Multi-objective optimization demonstrated that GHG, land and water use could be simultaneously reduced by 2.3%. To achieve this change, cow-calf diets relied on grass hay, continuously-or rotationally-grazed irrigated and fertilized pasture as well as rotationally-grazed pasture. Stocker diets used rotationally-grazed, irrigated and fertilized pasture and feedlot diets used grass hay as a forage source. The model was sensitive to consumer WTP. When alternative precipitation patterns were simulated, opportunities to decrease the environmental impact of beef production in the Pacific Northwest and Texas were reduced by precipitation changes; whereas opportunities in the Midwest improved. Economic viability, rather than biological limitations, reduced the potential to improve environmental impact under future precipitation scenarios. Decreased spring rainfall resulted in lower pasture yields and required greater use of stored forages. Related increases in diet cost reduced opportunities to appropriate funds toward investment in environmental-impact reducing pasture management strategies. The model developed in this study is a robust tool that can be used to assess the impacts of enterprise management and consumer decisions on beef production sustainability.

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CH₄ and N₂O fluxes in the Colorado shortgrass steppe: 1. Impact of landscape and nitrogen addition

Cited by 214 publications

References 21 publications

Influence of increasing temperature and nitrogen input on greenhouse gas emissions from a desert steppe soil in Inner Mongolia

Influence of increasing temperature and nitrogen input on greenhouse gas emissions from a desert steppe soil in Inner Mongolia

Soil Methanotrophy Model (MeMo v1.0): a process-based model to quantify global uptake of atmospheric methane by soil

Optimizing diet and pasture management to improve sustainability of U.S. beef production

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CH4 and N2O fluxes in the Colorado shortgrass steppe: 1. Impact of landscape and nitrogen addition

Cited by 214 publications

References 21 publications

Influence of increasing temperature and nitrogen input on greenhouse gas emissions from a desert steppe soil in Inner Mongolia

Influence of increasing temperature and nitrogen input on greenhouse gas emissions from a desert steppe soil in Inner Mongolia

Soil Methanotrophy Model (MeMo v1.0): a process-based model to quantify global uptake of atmospheric methane by soil

Optimizing diet and pasture management to improve sustainability of U.S. beef production

Contact Info

Product

Resources

About

CH₄ and N₂O fluxes in the Colorado shortgrass steppe: 1. Impact of landscape and nitrogen addition