LePA模型预测根际和土壤磷管理措施联合应用可使中国磷肥需求量减少一半以上

doi:10.1016/j.jia.2022.09.003

Journal of Integrative Agriculture ›› 2023, Vol. 22 ›› Issue (8): 2509-2520.DOI: 10.1016/j.jia.2022.09.003

LePA模型预测根际和土壤磷管理措施联合应用可使中国磷肥需求量减少一半以上

收稿日期:2022-03-27 接受日期:2022-06-15 出版日期:2023-08-20 发布日期:2022-06-15

Combining rhizosphere and soil-based P management decreased the P fertilizer demand of China by more than half based on LePA model simulations

YU Wen-jia¹, LI Hai-gang^{1, 2#}, Peteh M. NKEBIWE³, YANG Xue-yun⁴, GUO Da-yong⁵, LI Cui-lan⁶, ZHU Yi-yong⁷, XIAO Jing-xiu⁸, LI Guo-hua^{9, 10}, SUN Zhi², Torsten MÜLLER³, SHEN Jian-bo¹

¹ Key Laboratory of Plant–Soil Interactions, College of Resources and Environmental Sciences/National Academy of Agriculture
Green Development of Ministry of Education, China Agricultural University, Beijing 100193, P.R.China
² Inner Mongolia Key Laboratory of Soil Quality and Nutrient Resources/Key Laboratory of Agricultural Ecological Security and
Green Development at Universities of Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot
010018, P.R.China
³ Department of Fertilization and Soil Matter Dynamics, Institute of Crop Science, University of Hohenheim, Stuttgart 70593,
Germany
⁴ Key Laboratory of Plant Nutrition and the Agri-Environment in Northwest China, College of Natural Resources and Environment,
Northwest A&F University, Yangling 712199, P.R.China
⁵ College of Agronomy, Henan University of Science and Technology, Luoyang 471000, P.R.China
⁶Department of Agricultural Resources and Environment, College of Resources and Environment, Jilin Agricultural University,
Changchun 130118, P.R.China
⁷ Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, College of Resources and Environmental
Sciences, Nanjing Agricultural University, Nanjing 210095, P.R.China
⁸ College of Resources and Environment, Yunnan Agricultural University, Kunming 650500, P.R.China
⁹ Plant Production Systems Group, Wageningen University, Wageningen 6700, Netherlands
¹⁰Israel Chemicals Ltd. (ICL), Tel Aviv 61070, Israel

Received:2022-03-27 Accepted:2022-06-15 Online:2023-08-20 Published:2022-06-15
About author:YU Wen-jia, E-mail: wenjiayu@cau.edu.cn; # Correspondence LI Hai-gang, Mobile: +86-13426493910, E-mail: haigangli@cau. edu.cn
Supported by:
This study was supported by the Double First-Class Financial Capital in China (NDYB2018-4), the Scientific Research Start-up Fund of the Autonomous Region Human Resources and Social Security Department in 2018, China (for Haigang Li), the Project of Grassland Talent, China (for Haigang Li), and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 328017493/GRK 2366 (International Research Training Group “Adaptation of Maize-based Food–Feed–Energy Systems to Limited Phosphate Resources”).

摘要/Abstract

摘要：

作为一种有限的自然资源，磷（P）逐渐成为影响全球可持续发展的新挑战。中国农业对全球可持续磷管理意义重大。在中国集约化的农业生产中，通过根际和土壤磷管理来提高磷的利用效率和作物生产力是很有必要的。之前的研究表明，利用LePA模型（legacy phosphorus assessment model）基于土壤磷管理（恒量监控方法）预测中国未来的磷肥需求量会大大降低。本研究利用LePA模型基于根际和土壤磷综合管理预测了在四种减磷情景下我国各县未来的磷肥需求量。四种情景设置分别为：（1）模拟期间磷肥投入量与2012年相同；（2）低磷县先保持2012年的施磷水平，而高磷县先停施磷肥，直至土壤Olsen-P达目标值，然后施磷量均与作物磷带走量相同；（3）低磷县的土壤Olsen-P达目标值后，各县的施磷量每年降低1 – 7 kg ha^-1，然后每年增加0.1 – 9 kg ha^-1至作物磷带走量；（4）低磷县的磷投入量与2012年相同直至土壤Olsen-P含量升高到目标值，而高磷县的磷投入量先每年降低1 – 7 kg ha^-1，再每年增加0.1 – 9 kg ha^-1，然后与作物磷带走量相同。结果表明，情景4分析的我国在2013 – 2080年期间的磷肥需求总量为6.93亿吨，与农民传统施磷量相比降低了57.5%。与基于土壤管理的磷需求量相比，模拟期间我国磷肥总需求量可进一步降低8.0%。我国平均的土壤Olsen-P含量只需维持在17.2 mg kg^-1即可满足作物高产的需求。我们的研究结果为政府出台可持续磷管理的相关政策提供了坚实的基础。

Abstract:

Phosphorus (P) is a finite natural resource and is increasingly considered to be a challenge for global sustainability. Agriculture in China plays a key role in global sustainable P management. Rhizosphere and soil-based P management are necessary for improving P-use efficiency and crop productivity in intensive agriculture in China. A previous study has shown that the future demand for phosphate fertilizer by China estimated by the LePA model (legacy phosphorus assessment model) can be greatly reduced by soil-based P management (the building-up and maintenance approach). The present study used the LePA model to predict the phosphate demand by China through combined rhizosphere and soil-based P management at county scale under four P fertilizer scenarios: (1) same P application rate as in 2012; (2) rate maintained same as 2012 in low-P counties or no P fertilizer applied in high-P counties until targeted soil Olsen-P (TPOlsen) level is reached, and then rate was the same as P-removed at harvest; (3) rate in each county decreased to 1–7 kg ha^–1 yr^–1 after TPOlsen is reached in low-P counties, then increased by 0.1–9 kg ha^–1 yr^–1 until equal to P-removal; (4) rate maintained same as 2012 in low-P counties until TPOlsen is reached and then equaled to P-removal, while the rate in high-P counties is decreased to 1–7 kg ha^–1 yr^–1 until TPOlsen is reached and then increased by 0.1–9 kg ha^–1 yr^–1 until equal to P-removal. Our predictions showed that the total demand for P fertilizer by whole China was 693 Mt P2O5 and according to scenario 4, P fertilizer could be reduced by 57.5% compared with farmer current practice, during the period 2013–2080. The model showed that rhizosphere P management led to a further 8.0% decrease in P fertilizer use compared with soil-based P management. The average soil Olsen-P level in China only needs to be maintained at 17 mg kg^–1 to achieve high crop yields. Our results provide a firm basis for government to issue-relevant policies for sustainable P management in China.

Key words: phosphorus reserves , P management , crop , agriculture , China , modelling

YU Wen-jia, LI Hai-gang, Peteh M. NKEBIWE, YANG Xue-yun, GUO Da-yong, LI Cui-lan, ZHU Yi-yong, XIAO Jing-xiu, LI Guo-hua, SUN Zhi, Torsten MÜLLER, SHEN Jian-bo. LePA模型预测根际和土壤磷管理措施联合应用可使中国磷肥需求量减少一半以上[J]. Journal of Integrative Agriculture, 2023, 22(8): 2509-2520.

YU Wen-jia, LI Hai-gang, Peteh M. NKEBIWE, YANG Xue-yun, GUO Da-yong, LI Cui-lan, ZHU Yi-yong, XIAO Jing-xiu, LI Guo-hua, SUN Zhi, Torsten MÜLLER, SHEN Jian-bo. Combining rhizosphere and soil-based P management decreased the P fertilizer demand of China by more than half based on LePA model simulations[J]. Journal of Integrative Agriculture, 2023, 22(8): 2509-2520.

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LePA模型预测根际和土壤磷管理措施联合应用可使中国磷肥需求量减少一半以上

Combining rhizosphere and soil-based P management decreased the P fertilizer demand of China by more than half based on LePA model simulations

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