Neville Millar
Michigan State University
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Featured researches published by Neville Millar.
Proceedings of the National Academy of Sciences of the United States of America | 2014
Iurii Shcherbak; Neville Millar; G. Philip Robertson
Significance We clarify the response of the greenhouse gas nitrous oxide (N2O) to nitrogen (N) fertilizer additions, a topic of considerable debate. Previous analyses have used single N-rate experiments to define a linear response to N additions across climate, management, and soil conditions globally. Here, we provide a first quantitative comparison of N2O emissions for all available studies that have used multiple N rates. Results show that a nonlinear emission factor better represents global emission patterns with lower uncertainty, offering more power for balancing the global N2O budget and for designing effective mitigation strategies. Nitrous oxide (N2O) is a potent greenhouse gas (GHG) that also depletes stratospheric ozone. Nitrogen (N) fertilizer rate is the best single predictor of N2O emissions from agricultural soils, which are responsible for ∼50% of the total global anthropogenic flux, but it is a relatively imprecise estimator. Accumulating evidence suggests that the emission response to increasing N input is exponential rather than linear, as assumed by Intergovernmental Panel on Climate Change methodologies. We performed a metaanalysis to test the generalizability of this pattern. From 78 published studies (233 site-years) with at least three N-input levels, we calculated N2O emission factors (EFs) for each nonzero input level as a percentage of N input converted to N2O emissions. We found that the N2O response to N inputs grew significantly faster than linear for synthetic fertilizers and for most crop types. N-fixing crops had a higher rate of change in EF (ΔEF) than others. A higher ΔEF was also evident in soils with carbon >1.5% and soils with pH <7, and where fertilizer was applied only once annually. Our results suggest a general trend of exponentially increasing N2O emissions as N inputs increase to exceed crop needs. Use of this knowledge in GHG inventories should improve assessments of fertilizer-derived N2O emissions, help address disparities in the global N2O budget, and refine the accuracy of N2O mitigation protocols. In low-input systems typical of sub-Saharan Africa, for example, modest N additions will have little impact on estimated N2O emissions, whereas equivalent additions (or reductions) in excessively fertilized systems will have a disproportionately major impact.
Gcb Bioenergy | 2016
Lawrence G. Oates; David S. Duncan; Ilya Gelfand; Neville Millar; G. Philip Robertson; Randall D. Jackson
Greenhouse gas (GHG) emissions from soils are a key sustainability metric of cropping systems. During crop establishment, disruptive land‐use change is known to be a critical, but under reported period, for determining GHG emissions. We measured soil N2O emissions and potential environmental drivers of these fluxes from a three‐year establishment‐phase bioenergy cropping systems experiment replicated in southcentral Wisconsin (ARL) and southwestern Michigan (KBS). Cropping systems treatments were annual monocultures (continuous corn, corn–soybean–canola rotation), perennial monocultures (switchgrass, miscanthus, and poplar), and perennial polycultures (native grass mixture, early successional community, and restored prairie) all grown using best management practices specific to the system. Cumulative three‐year N2O emissions from annuals were 142% higher than from perennials, with fertilized perennials 190% higher than unfertilized perennials. Emissions ranged from 3.1 to 19.1 kg N2O‐N ha−1 yr−1 for the annuals with continuous corn > corn–soybean–canola rotation and 1.1 to 6.3 kg N2O‐N ha−1 yr−1 for perennials. Nitrous oxide peak fluxes typically were associated with precipitation events that closely followed fertilization. Bayesian modeling of N2O fluxes based on measured environmental factors explained 33% of variability across all systems. Models trained on single systems performed well in most monocultures (e.g., R2 = 0.52 for poplar) but notably worse in polycultures (e.g., R2 = 0.17 for early successional, R2 = 0.06 for restored prairie), indicating that simulation models that include N2O emissions should be parameterized specific to particular plant communities. Our results indicate that perennial bioenergy crops in their establishment phase emit less N2O than annual crops, especially when not fertilized. These findings should be considered further alongside yield and other metrics contributing to important ecosystem services.
Gcb Bioenergy | 2018
David S. Duncan; Lawrence G. Oates; Ilya Gelfand; Neville Millar; G. Philip Robertson; Randall D. Jackson
Nitrous oxide (N2O) is a potent greenhouse gas and major component of the net global warming potential of bioenergy feedstock cropping systems. Numerous environmental factors influence soil N2O production, making direct correlation difficult to any one factor of N2O fluxes under field conditions. We instead employed quantile regression to evaluate whether soil temperature, water‐filled pore space (WFPS), and concentrations of soil nitrate ( NO3− ) and ammonium ( NH4+ ) determined upper bounds for soil N2O flux magnitudes. We collected data over 6 years from a range of bioenergy feedstock cropping systems including no‐till grain crops, perennial warm‐season grasses, hybrid poplar, and polycultures of tallgrass prairie species each with and without nitrogen (N) addition grown at two sites. The upper bounds for soil N2O fluxes had a significant and positive correlation with all four environmental factors, although relatively large fluxes were still possible at minimal values for nearly all factors. The correlation with NH4+ was generally weaker, suggesting it is less important than NO3− in driving large fluxes. Quantile regression slopes were generally lower for unfertilized perennials than for other systems, but this may have resulted from a perpetual state of nitrogen limitation, which prevented other factors from being clear constraints. This framework suggests efforts to reduce concentrations of NO3− in the soil may be effective at reducing high‐intensity periods—”hot moments”—of N2O production.
Archive | 2015
Lawrence G. Oates; David S. Duncan; Ilya Gelfand; Neville Millar; G. Philip Robertson; Randall D. Jackson
Daily fluxes were aggregated at the plot level over a calendar year. Details of aggregation are given in the paper.
Global Change Biology | 2011
John P. Hoben; Ron J. Gehl; Neville Millar; Peter Grace; G. P. Robertson
Mitigation and Adaptation Strategies for Global Change | 2010
Neville Millar; G. Philip Robertson; Peter Grace; Ron J. Gehl; John P. Hoben
Agricultural Systems | 2011
Peter Grace; G. Philip Robertson; Neville Millar; Manuel Colunga-Garcia; Bruno Basso; Stuart H. Gage; John P. Hoben
Global Change Biology | 2016
Ilya Gelfand; Iurii Shcherbak; Neville Millar; Alexandra N. Kravchenko; G. Philip Robertson
Ecological Modelling | 2017
R. Cesar Izaurralde; William B. Mcgill; J. R. Williams; Curtis D. Jones; Robert Link; David H. Manowitz; D. Elisabeth Schwab; Xuesong Zhang; G. Philip Robertson; Neville Millar
Mitigation and Adaptation Strategies for Global Change | 2010
Neville Millar; G. Philip Robertson; Peter Grace; Ron J. Gehl; John P. Hoben