Quantifying patterns, sources and uncertainty of nitrous oxide emissions from global grazing lands: Nitrogen forms are the determinant factors for estimation and mitigation

Song, Hanxiong; Peng, Changhui; Zhang, Kerou; Li, Tong; Yang, Mingxia; Liu, Qiuyu; Zhu, Qiuan

doi:10.1016/j.gloplacha.2023.104080

Cited by 3 publications

(2 citation statements)

References 134 publications

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“…The manure application data were also derived from the HaNi data set, while the manure chemical properties (e.g., C:N ratios, inorganic N proportion etc.) were based on our previous studies and model descriptions (Song et al., 2022, 2023). The historical geographic distribution of rice‐based ecosystems was obtained from the Land‐Use Harmonization data set (LUH2, flooded C3 crops) (Hurtt et al., 2020).…”

Section: Methodsmentioning

confidence: 99%

Central Role of Nitrogen Fertilizer Relative to Water Management in Determining Direct Nitrous Oxide Emissions From Global Rice‐Based Ecosystems

Song,

Zhu,

Blanchet

et al. 2023

Global Biogeochemical Cycles

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The increasing atmospheric nitrous oxide (N2O) concentration stems from the development of agriculture. However, N2O emissions from global rice‐based ecosystems have not been explicitly and systematically quantified. Therefore, this study aims to estimate the spatiotemporal magnitudes of the N2O emissions from global rice‐based ecosystems and determine different contribution factors by improving a process‐based biogeochemical model, TRIPLEX‐GHG v2.0. Model validation suggested that the modeled N2O agreed well with field observations under varying management practices at daily, seasonal, and annual steps. Simulated N2O emissions from global rice‐based ecosystems exhibited significant increasing trends from 0.026 ± 0.0013 to 0.18 ± 0.003 TgN yr−1 from 1910 to 2020, with ∼69.5% emissions attributed to the rice‐growing seasons. Irrigated rice ecosystems accounted for a majority of global rice N2O emissions (∼76.9%) because of their higher N2O emission rates than rainfed systems. Regarding spatial analysis, Southern China, Northeast India, and Southeast Asia are hotspots for rice‐based N2O emissions. Experimental scenarios revealed that N fertilizer is the largest global rice‐N2O source, especially since the 1960s (0.047 ± 0.010 TgN yr−1, 35.24%), while the impact of expanded irrigation plays a minor role. Overall, this study provides a better understanding of the rice‐based ecosystem in the global agricultural N2O budget; further, it quantitively demonstrated the central role of N fertilizer in rice‐based N2O emissions by including rice crop calendars, covering non‐rice growing seasons, and differentiating the effects of various water regimes and input N forms. Our findings emphasize the significance of co‐management of N fertilizer and water regimes in reducing the net climate impact of global rice cultivation.

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Section: Methodsmentioning

confidence: 99%

Central Role of Nitrogen Fertilizer Relative to Water Management in Determining Direct Nitrous Oxide Emissions From Global Rice‐Based Ecosystems

Song,

Zhu,

Blanchet

et al. 2023

Global Biogeochemical Cycles

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“…In some studies, the significant contribution of nitrous oxide (N 2 O) emissions, from grazing land to global warming, has been highlighted, including pastures and large-scale breeding farms [20,21]. It has been revealed that the nitrogen deposition from livestock excrement dictates the spatiotemporal pattern of global change [22]. The microlevel aspects of livestock excreta (LE) have been examined by some scholars, such as deodorization bacteria and the fecal wastewater treatment industry.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Manure Emissions Issued from Different Chinese Livestock Species: Potential of Future Production

He,

Zhang,

Zhang

et al. 2023

Agriculture

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In this study, mathematical models are used to estimate the emissions of livestock excreta (LE) generated by China’s livestock industry more accurately. Also, the spatial relationship between provinces is analyzed. LE emissions are predicted for the next decade through appropriate parameters and non-parametric models. Additionally, a literature review is conducted to propose two hypotheses. As revealed by the research, there are four stages that LE emissions experience over time. From 2017 to 2021, LE emissions showed a trend of steady increase, suggesting a stronger awareness of the issue and the enforcement of more measures related to management and emission reduction. According to the results of a spatial analysis, there was no significant positive or negative correlation present between LE emissions in different provinces of China. In the selection of the prediction model, the BP-RE model achieved the best predictive performance. According to the prediction results, the fresh weight emissions from China’s livestock industry will increase by 24.53% by 2031, while dry weight emissions will decrease by 28.06%. Large-scale aquaculture farms show an upward trend, with fresh weight and dry weight emissions rising by 11.16% and 2.05%, respectively. Therefore, in light of this study’s findings, it is crucial for China to pursue additional measures in reducing LE emissions, despite the implementation of existing management policies. These insights can inform the development of livestock and poultry manure management policies and resource utilization strategies for the coming decade.

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Global Land Use Change and Its Impact on Greenhouse Gas Emissions

Li,

Awada,

Zhang

et al. 2024

Global Change Biology

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Anthropogenic activities have altered approximately two‐thirds of the Earth's land surface. Urbanization, industrialization, agricultural expansion, and deforestation are increasingly impacting the terrestrial landscapes, leading to shifts of areas in artificial surface (i.e., humanmade), cropland, pasture, forest, and barren land. Land use patterns and associated greenhouse gas (GHG) emissions play a critical role in global climate change. Here we synthesized 29 years of global historical data and demonstrated how land use impacts global GHG emissions using structural equation modeling. We then obtained predictive estimates of future global GHG emissions using a deep learning model. Our results show that, from 1992 to 2020, the global terrestrial areas covered by artificial surface and cropland have expanded by 133% and 6% because of population growth and socioeconomic development, resulting in 4.0% and 3.8% of declines in pasture and forest areas, respectively. Land use was significantly associated with GHG emissions (p < 0.05). Artificial surface dominates global GHG emissions, followed by cropland, pasture, and barren land. The increase in artificial surfaces has driven up global GHG emissions through the increase in energy consumption. Conversely, improved agricultural management practices have contributed to mitigating agricultural GHG emissions. Forest, on the other hand, serves as a sink of GHG. In total, global GHG emissions increased from 31 to 46 GtCO2eq from 1992 to 2020. Looking ahead, if current trends in global land use continue at the same rates, our model projects that global GHG emissions will reach 76 ± 8 GtCO2eq in 2050. In contrast, reducing the rates of land use change by half could limit global GHG emissions to 60 ± 3 GtCO2eq in 2050. Monitoring and analyzing these projections allow a better understanding of the potential impacts of various land use scenarios on global climate and planning for a sustainable future.

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Quantifying patterns, sources and uncertainty of nitrous oxide emissions from global grazing lands: Nitrogen forms are the determinant factors for estimation and mitigation

Cited by 3 publications

References 134 publications

Central Role of Nitrogen Fertilizer Relative to Water Management in Determining Direct Nitrous Oxide Emissions From Global Rice‐Based Ecosystems

Central Role of Nitrogen Fertilizer Relative to Water Management in Determining Direct Nitrous Oxide Emissions From Global Rice‐Based Ecosystems

Estimation of Manure Emissions Issued from Different Chinese Livestock Species: Potential of Future Production

Global Land Use Change and Its Impact on Greenhouse Gas Emissions

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