Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography & Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
School of Geographic Science, Nantong University, Nantong, 226007, China.
Environ Sci Pollut Res Int. 2021 Sep;28(36):49913-49920. doi: 10.1007/s11356-021-14272-z. Epub 2021 May 4.
In this paper, Delphi method was used to evaluate the low-carbon technologies and measures for high agricultural carbon productivity in Taihu Lake Basin. We established the selecting process and standards and obtained the final list of low-carbon technologies and management measures of high agricultural carbon productivity in Taihu Lake Basin: (1) the initial list of low-carbon technologies and measures of planting industry included 19 items, of which 10 items were included in the final list. The 10 technologies and measures included in the final list were reducing fertilizers, mixed use of organic fertilizer and chemical fertilizer, soil testing and formulated fertilization, application of controlled release fertilizer, deep application of fertilizers, cultivation of new variety, extension of conservation tillage, extension of midseason/alternate drainage, paddy-upland rotation (rice-rape/rice-wheat), and reducing pesticides. (2) The initial list of low-carbon technologies and measures of animal husbandry included 11 items, of which 4 items were included in the final list. The 4 technologies and measures included in the final list were reasonable ratio of concentrate to roughage in ration, treatment straw feed by silage/ammoniation/shredding, application of nutritive cube/dietary additives, and promotion of high productivity livestock breeds. (3) Low-carbon agricultural technologies and management measures need to be adapted to local conditions according to different geographical, climatic, and socio-economic development characteristics, and it is necessary to form a regionally differentiated system of low-carbon agricultural technologies and management measures. The final list of low-carbon technologies and management measures of high agricultural carbon productivity can provide decision-making reference for the formulation of agricultural carbon emission reduction technology system and low-carbon agricultural development planning of provinces and cities in Taihu Lake Basin. At the same time, the final list can be considered a priority for the promotion of agricultural low-carbon technologies and measures in China and even in the world.
本文采用德尔菲法对太湖流域高农田碳生产力的低碳技术和措施进行了评价。建立了选择过程和标准，得出了太湖流域高农田碳生产力的低碳技术和管理措施的最终清单：（1）种植业低碳技术和措施初选清单包括 19 项，其中 10 项列入最终清单。列入最终清单的 10 项技术和措施包括：减少化肥、有机肥与化肥配合使用、土壤测试与配方施肥、控释肥施用、深施肥料、培育新品种、推广保护性耕作、推广中稻/间歇排水、稻-旱轮作（稻-油菜/稻-麦）、减少农药。（2）畜牧业低碳技术和措施初选清单包括 11 项，其中 4 项列入最终清单。列入最终清单的 4 项技术和措施包括：日粮中精料与粗料的合理比例、青贮/氨化/粉碎处理秸秆饲料、应用营养块/饲料添加剂、推广高生产力牲畜品种。（3）低碳农业技术和管理措施需要根据不同的地理、气候和社会经济发展特点因地制宜，形成具有区域特色的低碳农业技术和管理措施体系。高农田碳生产力的低碳技术和管理措施最终清单可为制定太湖流域省市农业减排技术体系和低碳农业发展规划提供决策参考。同时，最终清单可以作为中国乃至世界推广农业低碳技术和措施的优先事项。
