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Quan Q, Yi F, Liu H. Fertilizer response to climate change: Evidence from corn production in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172226. [PMID: 38593880 DOI: 10.1016/j.scitotenv.2024.172226] [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: 01/16/2024] [Revised: 03/14/2024] [Accepted: 04/03/2024] [Indexed: 04/11/2024]
Abstract
Corn is the third most cultivated food crop in the world, and climate change has important effects on corn production and food security. China is the top user of chemical fertilizer in the world, and analyzing how to effectively manage fertilizer application in such a developing country with resource constraints is crucial. We present empirical evidence from China to demonstrate the nonlinear impact of temperature on fertilizer usage in corn production based on a panel dataset that shows 2297 corn-growing counties during 1998-2016. Our findings indicate that fertilizer usage barely changes with increasing temperatures that are below 28 °C; however, exposure to temperatures above 28 °C leads to a sharp increase in fertilizer use. The increase in temperatures in the sample period implies that fertilizer usage per hectare for corn increased by 1.5 kg. Summer corn fertilizer application in the Yellow-Huai River Valley is more sensitive to warming than in the North region. Moreover, nitrogen, phosphorus, and potassium fertilizers have different temperature thresholds of 32 °C, 20 °C, and 20 °C, respectively, that cause significant changes.
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Affiliation(s)
- Quan Quan
- College of Economics and Management, Nanjing Agricultural University, Nanjing, China.
| | - Fujin Yi
- College of Economics and Management, Nanjing Agricultural University, Nanjing, China; China Academy for Rural Development, School of Public Affairs, Zhejiang University, Hangzhou, China
| | - Huilin Liu
- College of Economics and Management, Nanjing Agricultural University, Nanjing, China
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Cao T, Shi M, Zhang J, Ji H, Wang X, Sun J, Chen Z, Li Q, Song X. Nitrogen fertilization practices alter microbial communities driven by clonal integration in Moso bamboo. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 924:171581. [PMID: 38461973 DOI: 10.1016/j.scitotenv.2024.171581] [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: 01/11/2024] [Revised: 03/03/2024] [Accepted: 03/06/2024] [Indexed: 03/12/2024]
Abstract
Nitrogen (N) fertilization is crucial for maintaining plant productivity. Clonal plants can share resources between connected ramets through clonal integration influencing microbial communities and regulating soil biogeochemical cycling, especially in the rhizosphere. However, the effect of various N fertilization practices on microbial communities in the rhizosphere of clonal ramets remain unknown. In this study, clonal fragments of Moso bamboo (Phyllostachys edulis), consisting of a parent ramet, an offspring ramet, and an interconnecting rhizome, were established in the field. NH4NO3 solution was applied to the parent, offspring ramets or rhizomes to investigate the effect of fertilization practices on the structure and function of rhizosphere microbial communities. The differences in N availability, microbial biomass and community composition, and abundance of nitrifying genes among rhizosphere soils of ramets gradually decreased during the rapid growth of Moso bamboo, irrespective of fertilization practice. The soil N availability variation, particularly in NO3-, caused by fertilization practices altered the rhizosphere microbial community. Soil N availability and stable microbial biomass N in parent fertilization were the highest, being 9.0 % and 18.7 %, as well as 60.8 % and 90.4 % higher than rhizome and offspring fertilizations, respectively. The microbial network nodes and links in rhizome fertilization were 1.8 and 7.5 times higher than in parent and offspring fertilization, respectively. However, the diversity of bacterial community and abundance of nitrifying and denitrifying genes were the highest in offspring fertilization among three practices, which may be associated with increased N loss. Collectively, the rhizosphere microbial community characteristics depended on fertilization practices by altering the clonal integration of N in Moso bamboo. Parent and rhizome fertilization were favorable for N retention in plant-soil system and resulted in more stable microbial functions than offspring fertilization. Our findings provide new insights into precision fertilization for the sustainable Moso bamboo forest management.
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Affiliation(s)
- Tingting Cao
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
| | - Man Shi
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
| | - Junbo Zhang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
| | - Hangxiang Ji
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
| | - Xiao Wang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
| | - Jilei Sun
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
| | - Zhenxiong Chen
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
| | - Quan Li
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
| | - Xinzhang Song
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China; College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao 266109, China.
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Yin Y, Cui Z. Fertilizer application improvements in China. NATURE FOOD 2024; 5:351-352. [PMID: 38719982 DOI: 10.1038/s43016-024-00982-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Affiliation(s)
- Yulong Yin
- College of Resources and Environmental Sciences, State Key Laboratory of Nutrient Use and Management, National Academy of Agriculture Green Development, Key Laboratory of Plant-Soil Interactions, Ministry of Education, Key Laboratory of Low-carbon Green Agriculture, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, China
| | - Zhenling Cui
- College of Resources and Environmental Sciences, State Key Laboratory of Nutrient Use and Management, National Academy of Agriculture Green Development, Key Laboratory of Plant-Soil Interactions, Ministry of Education, Key Laboratory of Low-carbon Green Agriculture, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, China.
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Zhang H, Sun H, Zhao R, Tian Y, Meng Y. High resolution spatiotemporal modeling of long term anthropogenic nutrient discharge in China. Sci Data 2024; 11:283. [PMID: 38461162 PMCID: PMC10925032 DOI: 10.1038/s41597-024-03102-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 02/28/2024] [Indexed: 03/11/2024] Open
Abstract
High-resolution integration of large-scale and long-term anthropogenic nutrient discharge data is crucial for understanding the spatiotemporal evolution of pollution and identifying intervention points for pollution mitigation. Here, we establish the MEANS-ST1.0 dataset, which has a high spatiotemporal resolution and encompasses anthropogenic nutrient discharge data collected in China from 1980 to 2020. The dataset includes five components, namely, urban residential, rural residential, industrial, crop farming, and livestock farming, with a spatial resolution of 1 km and a temporal resolution of monthly. The data are available in three formats, namely, GeoTIFF, NetCDF and Excel, catering to GIS users, researchers and policymakers in various application scenarios, such as visualization and modelling. Additionally, rigorous quality control was performed on the dataset, and its reliability was confirmed through cross-scale validation and literature comparisons at the national and regional levels. These data offer valuable insights for further modelling the interactions between humans and the environment and the construction of a digital Earth.
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Affiliation(s)
- Haoran Zhang
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Huihang Sun
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Ruikun Zhao
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Yu Tian
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China.
| | - Yiming Meng
- State Key Lab of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
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Deng O, Ran J, Huang S, Duan J, Reis S, Zhang J, Zhu YG, Xu J, Gu B. Managing fragmented croplands for environmental and economic benefits in China. NATURE FOOD 2024; 5:230-240. [PMID: 38528241 DOI: 10.1038/s43016-024-00938-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 02/12/2024] [Indexed: 03/27/2024]
Abstract
Cropland fragmentation contributes to low productivity and high abandonment risk. Using spatial statistics on a detailed land use map, we show that 10% of Chinese croplands have no potential to be consolidated for large-scale farming (>10 ha) owing to spatial constraints. These fragmented croplands contribute only 8% of total crop production while using 15% of nitrogen fertilizers, leading to 12% of fertilizer loss in China. Optimizing the cropping structure of fragmented croplands to meet animal food demand in China can increase animal food supply by 19%, equivalent to increasing cropland proportionally. This crop-switching approach would lead to a 10% and 101% reduction in nitrogen and greenhouse gas emissions, respectively, resulting in a net benefit of US$ 7 billion yr-1. If these fragmented croplands were relocated to generate large-scale farming units, livestock, vegetable and fruit production would be increased by 8%, 3% and 14%, respectively, and reactive nitrogen and greenhouse gas emissions would be reduced by 16% and 5%, respectively, resulting in a net benefit of US$ 44 billion yr-1. Both solutions could be used to achieve synergies between food security, economic benefits and environmental protection through increased agricultural productivity, without expanding the overall cropland area.
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Affiliation(s)
- Ouping Deng
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
- College of Resources, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Investigation and Monitoring Protection and Utilization for Cultivated Land Resources, Ministry of Natural Resources, Chengdu, China
| | - Jiangyou Ran
- College of Resources, Sichuan Agricultural University, Chengdu, China
| | - Shuai Huang
- College of Resources, Sichuan Agricultural University, Chengdu, China
| | - Jiakun Duan
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Stefan Reis
- Unit for Environment and Sustainability at the German Aerospace Centre's Project Funding Agency, DLR Projekttraeger, Bonn, Germany
| | - Jiabao Zhang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Yong-Guan Zhu
- State Key Laboratory of Urban and Regional Ecology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
| | - Jianming Xu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, China
| | - Baojing Gu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, China.
- Policy Simulation Laboratory, Zhejiang University, Hangzhou, China.
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Li MY, Zhang YT, Zhou WX. Temporal rich club phenomenon and its formation mechanisms. Phys Rev E 2024; 109:014126. [PMID: 38366487 DOI: 10.1103/physreve.109.014126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 01/03/2024] [Indexed: 02/18/2024]
Abstract
The temporal rich club (TRC) phenomenon is widespread in real systems, forming a tight and continuous collection of the prominent nodes that control the system. However, there is still a lack of sufficient understanding of the mechanisms of TRC formation. Here we use the international N-nutrient trade network as an example of an in-depth identification, analysis, and modeling of its TRC phenomenon. The system exhibits a statistically significant TRC phenomenon, with eight economies forming the cornerstone club. Our analysis reveals that node degree is the most influential factor in TRC formation compared to other variables. The mathematical evolution models we constructed propose that the TRC in the N-nutrient trade network arises from the coexistence of degree-homophily and path-dependence mechanisms. By comprehending these mechanisms, we introduce a different perspective on TRC formation. Although our analysis is limited to the international trade system, the methodology can be extended to analyze the mechanisms underlying TRC emergence in other systems.
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Affiliation(s)
- Mu-Yao Li
- School of Business, East China University of Science and Technology, Shanghai 200237, China
- Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China
| | - Yin-Ting Zhang
- School of Business, East China University of Science and Technology, Shanghai 200237, China
- Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China
| | - Wei-Xing Zhou
- School of Business, East China University of Science and Technology, Shanghai 200237, China
- Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China
- School of Mathematics, East China University of Science and Technology, Shanghai 200237, China
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Yin Y, Cui Z. Challenges of optimal crop management. NATURE FOOD 2024; 5:13-14. [PMID: 38168778 DOI: 10.1038/s43016-023-00897-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Affiliation(s)
- Yulong Yin
- College of Resources and Environmental Sciences, State Key Laboratory of Nutrient Use and Management, National Academy of Agriculture Green Development, Key Laboratory of Plant-Soil Interactions, Ministry of Education, Key Laboratory of Low-carbon Green Agriculture, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, China
| | - Zhenling Cui
- College of Resources and Environmental Sciences, State Key Laboratory of Nutrient Use and Management, National Academy of Agriculture Green Development, Key Laboratory of Plant-Soil Interactions, Ministry of Education, Key Laboratory of Low-carbon Green Agriculture, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, China.
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Lassaletta L, Einarsson R, Quemada M. Nitrogen use efficiency of tomorrow. NATURE FOOD 2023; 4:281-282. [PMID: 37117544 DOI: 10.1038/s43016-023-00740-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Affiliation(s)
- Luis Lassaletta
- CEIGRAM/Department of Agricultural Production, ETSIAAB, Universidad Politécnica de Madrid, Madrid, Spain.
| | - Rasmus Einarsson
- Department of Energy and Technology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Miguel Quemada
- CEIGRAM/Department of Agricultural Production, ETSIAAB, Universidad Politécnica de Madrid, Madrid, Spain
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