杨颂祺, 张楠楠, 樊相文, 柏兆海, 王选, 董杰, 马林. 京津冀地区农牧系统氮素损失风险优化调控[J]. 中国生态农业学报 (中英文), 2024, 32(12): 1−11. DOI: 10.12357/cjea.20240317
引用本文: 杨颂祺, 张楠楠, 樊相文, 柏兆海, 王选, 董杰, 马林. 京津冀地区农牧系统氮素损失风险优化调控[J]. 中国生态农业学报 (中英文), 2024, 32(12): 1−11. DOI: 10.12357/cjea.20240317
YANG S Q, ZHANG N N, FAN X W, BAI Z H, WANG X, DONG J, MA L. Optimization management of nitrogen losses risk from crop-livestock production system in Jing-Jin-Ji Region[J]. Chinese Journal of Eco-Agriculture, 2024, 32(12): 1−11. DOI: 10.12357/cjea.20240317
Citation: YANG S Q, ZHANG N N, FAN X W, BAI Z H, WANG X, DONG J, MA L. Optimization management of nitrogen losses risk from crop-livestock production system in Jing-Jin-Ji Region[J]. Chinese Journal of Eco-Agriculture, 2024, 32(12): 1−11. DOI: 10.12357/cjea.20240317

京津冀地区农牧系统氮素损失风险优化调控

Optimization management of nitrogen losses risk from crop-livestock production system in Jing-Jin-Ji Region

  • 摘要: 为满足人们日益增长的食物需求, 农牧系统发展迅速。与此同时, 该系统逐渐成为我国氮素环境损失的主要来源, 但是区域间由氮素损失造成的环境风险特征却存在较大差异。因此, 农牧系统的分区精准优化调控对我国农牧业绿色发展具有重要意义。鉴于此, 本文基于京津冀地区农牧系统氮素损失进行了分区分步优化调控。本文分区优化主要根据不同地区损失风险特征选择匹配的减排技术; 分步优化则分为3个步骤: 1) 种养结合、2) 技术消减和3) 空间转移优化。通过以上方式可以更为精准地调控农牧系统氮素损失风险, 并最大限度地实现农牧系统氮素管理的可持续发展。本研究结果发现, 京津冀地区农牧系统通过分区分步优化调控, 可大幅降低系统氮素环境损失风险。对于氨挥发风险来说, 第一步种养结合可使京津冀地区中高风险区面积占比降低30.81%, 第二步优化可使中高风险区面积占比降低55.81%, 第三步优化后中高风险区面积占比降低58.42%, 三步优化后最终使得京津冀地区低风险及以下区县面积占比提高至90.37%; 对于硝酸盐损失风险来说, 第一步优化使中高风险区面积占比增加7.99%, 第二步优化使中高风险区面积占比减低22.20%, 第三步优化后中高风险区面积占比减低26.54%, 最终使得京津冀地区低风险及以下区县面积占比提高到83.85%。以上结果表明, 通过分区分步精准调控, 京津冀地区农牧系统氮素管理水平可以在最小化经济投入的情况下得到大幅提升, 其大范围的推广和应用, 对未来农牧业绿色可持续发展具有重要意义。

     

    Abstract: To meet the increasing demand for food, the crop-livestock production system has developed rapidly. Meanwhile, it is also becoming the main source of nitrogen losses, but there are significant differences in the characteristics of environmental risks from nitrogen losses among different regions. Therefore, the precise optimization and regulation of crop-livestock production system by zones according to the spatial differences is of great significance to the sustainable development of China’s crop-livestock industry in the future. In view of this, this paper regulates nitrogen losses in Jing-Jin-Ji Region by partition and step-by-step optimization. Partition optimization mainly considers selecting corresponding emission reduction technologies based on the risk characteristics of nitrogen losses in different regions, and step-by-step optimization is mainly achieved through three steps, which were 1) integration of crop and livestock production (returning of organic fertilizer to the field according to the fertilizer demand for crop), 2) emission reduction technologies for different stages and different systems, and 3) spatial optimization by transferring livestock production from the areas with high level of nitrogen losses risk to the areas with no risk. Through the above methods, the risk of nitrogen losses in crop-livestock production system in Jing-Jin-Ji Region can be more precisely controlled, and the sustainable development in crop-livestock production system via effective nitrogen management can be achieved. The results of this study were showed as below. Through partition and step-by-step optimization in crop-livestock production system of Jing-Jin-Ji Region, the risk of environmental losses derived from nitrogen losses from crop-livestock production system can be reduced. For the risk due to ammonia emissions, the proportion of areas with medium- and high-level risk decreased by 30.81% after the first step of optimization, then decreased by 55.81% after the second step of optimization, and finally decreased by 58.42% after the third step of optimization. In the end, the proportion of number of counties and districts with low-level or no risk in Jing-Jin-Ji Region increased to 90.37%, and it indicates effectively reduction of the risk due to ammonia emissions in this region. For the risk due to nitrate losses, the proportion of area with medium- and high-level risk increased by 7.99% after the first step of optimization, then decreased by 22.20% after the second step of optimization, and finally decreased by 26.54% after the third step of optimization. In the end, the proportion of area of counties and districts under low-level risk or no risk in Jing-Jin-Ji Region increased to 83.85%. Therefore, the nitrogen management level of the crop-livestock production system in Jing-Jin-Ji Region can be significantly improved through precise regulation via partition and step-by-step optimization. Based on above, the promotion and application of nitrogen management in crop-livestock production system via partition and step-by-step optimization at regional level are of great significance to the green and sustainable development of crop and livestock production system with lowest economic inputs in the future.

     

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