160 research outputs found

    Synthesizing the evidence of nitrous oxide mitigation practices in agroecosystems

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    This is the final version. Available from IOP Publishing via the DOI in this record. Data availability statement: The data that support the findings of this study are openly available at the following URL/DOI: https:// doi.org/10.17605/osf.io/2fjhw.Code availability statement: The code to reproduce the findings of this study is openly available at the following URL/DOI: https://doi.org/10.17605/osf.io/2fjhw. The synthesized data after curation is provided (Supplementary data).Nitrous oxide (N2O) emissions from agricultural soils are the main source of atmospheric N2O, a potent greenhouse gas and key ozone-depleting substance. Several agricultural practices with potential to mitigate N2O emissions have been tested worldwide. However, to guide policymaking for reducing N2O emissions from agricultural soils, it is necessary to better understand the overall performance and variability of mitigation practices and identify those requiring further investigation. We performed a systematic review and a second-order meta-analysis to assess the abatement efficiency of N2O mitigation practices from agricultural soils. We used 27 meta-analyses including 41 effect sizes based on 1119 primary studies. Technology-driven solutions (e.g. enhanced-efficiency fertilizers, drip irrigation, and biochar) and optimization of fertilizer rate have considerable mitigation potential. Agroecological mitigation practices (e.g. organic fertilizer and reduced tillage), while potentially contributing to soil quality and carbon storage, may enhance N2O emissions and only lead to reductions under certain pedoclimatic and farming conditions. Other mitigation practices (e.g. lime amendment or crop residue removal) led to marginal N2O decreases. Despite the variable mitigation potential, evidencing the context-dependency of N2O reductions and tradeoffs, several mitigation practices may maintain or increase crop production, representing relevant alternatives for policymaking to reduce greenhouse gas emissions and safeguard food security.Danish Council for Independent ResearchDanish Council for Independent ResearchEU H2020 Marie Skłodowska-Curie Action

    Predicting field N2_{2}O emissions from crop residues based on their biochemical composition: A meta-analytical approach

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    Crop residue incorporation is a common practice to increase or restore organic matter stocks in agricultural soils. However, this practice often increases emissions of the powerful greenhouse gas nitrous oxide (N2_{2}O). Previous meta-analyses have linked various biochemical properties of crop residues to N2_{2}O emissions, but the relationships between these properties have been overlooked, hampering our ability to predict N2_{2}O emissions from specific residues. Here we combine comprehensive databases for N2_{2}O emissions from crop residues and crop residue biochemical characteristics with a random-meta-forest approach, to develop a predictive framework of crop residue effects on N2_{2}O emissions. On average, crop residue incorporation increased soil N2_{2}O emissions by 43% compared to residue removal, however crop residues led to both increases and reductions in N2_{2}O emissions. Crop residue effects on N2_{2}O emissions were best predicted by easily degradable fractions (i.e. water soluble carbon, soluble Van Soest fraction (NDS)), structural fractions and N returned with crop residues. The relationship between these biochemical properties and N2_{2}O emissions differed widely in terms of form and direction. However, due to the strong correlations among these properties, we were able to develop a simplified classification for crop residues based on the stage of physiological maturity of the plant at which the residue was generated. This maturity criteria provided the most robust and yet simple approach to categorize crop residues according to their potential to regulate N2_{2}O emissions. Immature residues (high water soluble carbon, soluble NDS and total N concentration, low relative cellulose, hemicellulose, lignin fractions, and low C:N ratio) strongly stimulated N2_{2}O emissions, whereas mature residues with opposite characteristics had marginal effects on N2_{2}O. The most important crop types belonging to the immature residue group – cover crops, grasslands and vegetables – are important for the delivery of multiple ecosystem services. Thus, these residues should be managed properly to avoid their potentially high N2_{2}O emissions

    Rice paddy soils are a quantitatively important carbon store according to a global synthesis

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    This is the final version. Available on open access from Nature Research via the DOI in this recordData availability: The datasets generated during the current study are available at https://doi.org/10.5281/zenodo.5102775Rice paddies account for ~9% or the world’s cropland area and are characterized by environmental conditions promoting soil organic carbon storage, methane emissions and to a lesser extent nitrous oxide emissions. Here, we synthesize data from 612 sites across 51 countries to estimate global carbon stocks in paddy soils and determine the main factors affecting paddy soil carbon storage. Paddy soils (0–100 cm) contain 18 Pg carbon worldwide. Paddy soil carbon stocks decrease with increasing mean annual temperature and soil pH, whereas mean annual precipitation and clay content had minor impacts. Meta-analysis shows that paddy soil carbon stocks can be increased through several management practices. However, greenhouse gas mitigation through paddy soil carbon storage is generally outweighed by increases in methane and nitrous oxide emissions. Our results emphasize the key role of paddies in the global carbon cycle, and the importance of paddy management in minimizing anthropogenic greenhouse gas emissions.National Key Research and Development programNational Natural Science Foundation of ChinaNatural Science Foundation of Hunan ProvinceYouth Innovation Team Project of Institute of Subtropical Agriculture, Chinese Academy of SciencesInternational Postdoctoral Exchange Fellowship Program 2018European Research Council (ERC)Alexander von Humboldt FoundationWong Magna Fund, Ningbo Universit

    Shifts in soil ammonia-oxidizing community maintain the nitrogen stimulation of nitrification across climatic conditions

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    This is the final version. Available on open access from Wiley via the DOI in this recordData availability statement: The data that support the findings of this study are openly available in Figshare at https://doi.org/10.6084/m9.figshare.20022878 (Zhang, Cheng, et al., 2023).Anthropogenic nitrogen (N) loading alters soil ammonia-oxidizing archaea (AOA) and bacteria (AOB) abundances, likely leading to substantial changes in soil nitrification. However, the factors and mechanisms determining the responses of soil AOA:AOB and nitrification to N loading are still unclear, making it difficult to predict future changes in soil nitrification. Herein, we synthesize 68 field studies around the world to evaluate the impacts of N loading on soil ammonia oxidizers and nitrification. Across a wide range of biotic and abiotic factors, climate is the most important driver of the responses of AOA:AOB to N loading. Climate does not directly affect the N-stimulation of nitrification, but does so via climate-related shifts in AOA:AOB. Specifically, climate modulates the responses of AOA:AOB to N loading by affecting soil pH, N-availability and moisture. AOB play a dominant role in affecting nitrification in dry climates, while the impacts from AOA can exceed AOB in humid climates. Together, these results suggest that climate-related shifts in soil ammonia-oxidizing community maintain the N-stimulation of nitrification, highlighting the importance of microbial community composition in mediating the responses of the soil N cycle to N loading.National Natural Science Foundation of ChinaEuropean Union Horizon 2020Aarhus University Research FoundationDanish Independent Research FoundationNordic Committee of Agriculture and Food ResearchNatural Environment Research Council (NERC)Pioneer Center for Research in Sustainable Agricultural Futures (Land-CRAFT)DNR

    A trade-off between plant and soil carbon storage under elevated CO2

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    This is the author accepted manuscript. The final version is available from Nature Research via the DOI in this record.Data availability: All the empirical data that support the main findings of this study have been deposited in Figshare: (https://figshare.com/account/home#/projects/74721) and GitHub (https://github.com/cesarterrer/SoilC_CO2). FACE-MDS data can be accessed at https://www.osti.gov/dataexplorer/biblio/dataset/1480327. CMIP5 data can be accessed at https://esgf-index1.ceda.ac.uk/search/cmip5-ceda/. TRENDY data can be requested at http://dgvm.ceh.ac.uk/index.html.Code availability: The R code used in the analysis presented in this paper is available in GitHub and can be accessed at https://github.com/cesarterrer/SoilC_CO2Terrestrial ecosystems remove about 30% of the CO2 emitted by human activities each year, yet the persistence of this carbon sink partly depends on how plant biomass and soil carbon stocks respond to future increases in atmospheric CO2. While plant biomass often increases in elevated CO2 (eCO2) experiments, soil carbon has been observed to increase, remain unchanged, or even decline. The mechanisms driving this variation across experiments remain poorly understood, creating uncertainty in climate projections. Here, we synthesized data from 108 eCO2 experiments and found that the effect of eCO2 on soil carbon stocks is best explained by a negative relationship with plant biomass: when plant biomass is strongly stimulated by eCO2, soil carbon accrual declines; conversely, when biomass is weakly stimulated, soil carbon accumulates. This trade-off appears related to plant nutrient acquisition, whereby enhanced biomass requires mining the soil for nutrients, which decreases soil carbon accrual. We found an increase in soil carbon stocks with eCO2 in grasslands (8±2%) and no increase in forests (0±2%), even though plant biomass in grassland responded less strongly (9±3%) than in forest (23±2%). Ecosystem models do not reproduce this trade-off, which implies that projections of soil carbon may need to be revised.Lawrence Livermore National Laboratory (LLNL).U.S. Department of Energy, Terrestrial Ecosystem Science ProgramNAS
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