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Zhou S, Wang G, Zhang J, Dang H, Gao Y, Sun J. Long-term saline water irrigation has the potential to balance greenhouse gas emissions and cotton yield in North China plain. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 352:120087. [PMID: 38215592 DOI: 10.1016/j.jenvman.2024.120087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 12/18/2023] [Accepted: 01/08/2024] [Indexed: 01/14/2024]
Abstract
Saline water has proven to be one of the alternative sources of freshwater for agricultural irrigation in water-scarce areas. However, the changes in farmland ecology caused by saline water irrigation remain unclear. In this study, six irrigation water salinities (CK: 1.3 dS m-1, S1: 3.4 dS m-1, S2: 7.1 dS m-1, S3: 10.6 dS m-1, S4: 14.1 dS m-1, S5: 17.7 dS m-1) were set in a three-year (2019, 2021-2022) experiment to investigate their effects on soil environment and greenhouse gas emissions in cotton fields under long-term saline water irrigation. Results show that soil salinity in the same layer increased as increasing water salinity. Soil moisture of S3-S5 increased significantly by 4.99-12.94%. There was no significant difference in soil organic matter content between CK and S1. Saline water irrigation increased soil ammonium nitrogen content by 0.57-49.26%, while decreasing nitrate nitrogen content by 1.43-32.03%. Soil CO2 and N2O emissions and CH4 uptake were lower in S1-S5 than in CK at different cotton growth stages. In addition, saline water irrigation reduced the global warming potential by 6.93-53.86%. A structural equation model was developed to show that soil salinity, moisture, and ammonium nitrogen content were negatively correlated with global warming potential, while organic matter and nitrate nitrogen had positive effects on global warming potential. Considering the comprehensive perspectives of gas emissions and cotton yield, irrigation water with salinity less than 10.6 dS m-1 could effectively reduce greenhouse gas emissions from cotton fields while maintaining stable cotton yields in the experimental area and similar region.
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Affiliation(s)
- Shuang Zhou
- Institute of Farmland Irrigation of Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Xinxiang, 453002, China; Graduate School of Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Guangshuai Wang
- Institute of Farmland Irrigation of Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Xinxiang, 453002, China
| | - Junpeng Zhang
- College of Water Conservancy and Civil Engineering, Shandong Agricultural University, Taian, 271018, China
| | - Hongkai Dang
- Key Laboratory of Crop Drought Resistance Research of Hebei Province /Institute of Dryland Farming, Hebei Academy of Agriculture and Forestry Sciences, Hengshui, 053000, China
| | - Yang Gao
- Institute of Farmland Irrigation of Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Xinxiang, 453002, China.
| | - Jingsheng Sun
- Institute of Farmland Irrigation of Chinese Academy of Agriculture Sciences, Ministry of Agriculture and Rural Affairs, Xinxiang, 453002, China.
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Yao Z, Guo H, Wang Y, Zhan Y, Zhang T, Wang R, Zheng X, Butterbach-Bahl K. A global meta-analysis of yield-scaled N 2 O emissions and its mitigation efforts for maize, wheat, and rice. GLOBAL CHANGE BIOLOGY 2024; 30:e17177. [PMID: 38348630 DOI: 10.1111/gcb.17177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/09/2024] [Accepted: 01/22/2024] [Indexed: 02/15/2024]
Abstract
Maintaining or even increasing crop yields while reducing nitrous oxide (N2 O) emissions is necessary to reconcile food security and climate change, while the metric of yield-scaled N2 O emission (i.e., N2 O emissions per unit of crop yield) is at present poorly understood. Here we conducted a global meta-analysis with more than 6000 observations to explore the variation patterns and controlling factors of yield-scaled N2 O emissions for maize, wheat and rice and associated potential mitigation options. Our results showed that the average yield-scaled N2 O emissions across all available data followed the order wheat (322 g N Mg-1 , with the 95% confidence interval [CI]: 301-346) > maize (211 g N Mg-1 , CI: 198-225) > rice (153 g N Mg-1 , CI: 144-163). Yield-scaled N2 O emissions for individual crops were generally higher in tropical or subtropical zones than in temperate zones, and also showed a trend towards lower intensities from low to high latitudes. This global variation was better explained by climatic and edaphic factors than by N fertilizer management, while their combined effect predicted more than 70% of the variance. Furthermore, our analysis showed a significant decrease in yield-scaled N2 O emissions with increasing N use efficiency or in N2 O emissions for production systems with cereal yields >10 Mg ha-1 (maize), 6.6 Mg ha-1 (wheat) or 6.8 Mg ha-1 (rice), respectively. This highlights that N use efficiency indicators can be used as valuable proxies for reconciling trade-offs between crop production and N2 O mitigation. For all three major staple crops, reducing N fertilization by up to 30%, optimizing the timing and placement of fertilizer application or using enhanced-efficiency N fertilizers significantly reduced yield-scaled N2 O emissions at similar or even higher cereal yields. Our data-driven assessment provides some key guidance for developing effective and targeted mitigation and adaptation strategies for the sustainable intensification of cereal production.
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Affiliation(s)
- Zhisheng Yao
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, P.R. China
- College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Haojie Guo
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, P.R. China
- College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Yan Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, P.R. China
| | - Yang Zhan
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, P.R. China
- College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Tianli Zhang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, P.R. China
| | - Rui Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, P.R. China
| | - Xunhua Zheng
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, P.R. China
- College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Klaus Butterbach-Bahl
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, P.R. China
- Institute for Meteorology and Climate Research, Atmospheric Environmental Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany
- Pioneer Center Land-CRAFT, Department of Agroecology, Aarhus University, Aarhus C, Denmark
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Xie D, Gao W. Low-carbon transformation of China's smallholder agriculture: exploring the role of farmland size expansion and green technology adoption. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:105522-105537. [PMID: 37715913 DOI: 10.1007/s11356-023-29610-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 08/27/2023] [Indexed: 09/18/2023]
Abstract
Farmland size and green technology have a significant impact on agricultural carbon emissions. However, more research needs to consider the impact of their interaction on agricultural carbon neutralization. In this paper, the impact of farmland size on the net carbon effect and its underlying mechanisms from the perspective of green agricultural technology adoption were empirically examined using a tracking survey of 2600 farming households. The results show that farmland size expansion at both household and plot levels can increase the net carbon effect of the planting industry, which is more pronounced for grain crops than cash crops. Specifically, a 1% increase in the total area of household farmland or the largest contracted plot area can increase the net carbon effect by more than 3%. Green technology also plays a mediation effect in their relationship. Increasing farmland size can generate sufficient economic incentives to encourage green technology adoption, contributing to carbon sequestration and emissions reduction and increasing the crop's net carbon effect. Furthermore, we find that farmland expansion can significantly encourage the adoption of efficiency-enhancing technologies but not environmentally friendly technologies. Our findings suggest that promoting farmland expansion and green technology extension is effective for the low-carbon transformation of Chinese agriculture. The government should make distinct promotion policies for various green agricultural technologies and differentiating incentives and support policies for different-sized farmers. Our study provides insights into the path to Chinese-style agricultural modernization in the context of a smallholder economy.
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Affiliation(s)
- Dongying Xie
- School of Economics, Jilin University, Changchun, Jilin, 130012, China
| | - Weilong Gao
- Institute of National Development and Security Studies, Jilin University, Changchun, Jilin, 130012, China.
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