基于DNDC模型覆膜马铃薯N_2O减排增产的优化施氮量研究
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  • 英文篇名:Study on the Optimal Nitrogen Application Rate with N_2O Emission Reducing and Yield Increasing under Mulching in Potato Field Based on DNDC Model
  • 作者:郭康军 ; 侯玉芳 ; 王立为 ; 高西宁 ; 李鸣钰 ; 郭树昌
  • 英文作者:GUO Kangjun;HOU Yufang;WANG Liwei;GAO Xining;LI Mingyu;GUO Shuchang;College of Agronomy, Shenyang Agricultural University;
  • 关键词:最优施氮 ; 马铃薯 ; DNDC模型 ; N2O排放
  • 英文关键词:the optimum amount of nitrogen fertilization;;potato;;DNDC model;;N2O emission
  • 中文刊名:TRYJ
  • 英文刊名:Ecology and Environmental Sciences
  • 机构:沈阳农业大学农学院;
  • 出版日期:2018-09-18
  • 出版单位:生态环境学报
  • 年:2018
  • 期:v.27
  • 基金:国家自然科学基金项目(31200432)
  • 语种:中文;
  • 页:TRYJ201809011
  • 页数:7
  • CN:09
  • ISSN:44-1661/X
  • 分类号:78-84
摘要
为了探究马铃薯(Solanum tuberosum)田苗期不覆膜和苗期覆膜处理下土壤N_2O减排和增产兼顾的最优施氮量,并验证DNDC模型对于马铃薯田土壤N_2O排放和产量预测的适用性,以沈阳市自然降水条件下的马铃薯田为研究对象,设计不施氮肥(0 kg·hm~(-2))、低氮(75 kg·hm~(-2))、中氮(150 kg·hm~(-2))和高氮(225 kg·hm~(-2))4种施氮水平,每种氮肥水平包括苗期不覆膜与苗期覆膜两种处理,采用静态箱-气相色谱法对土壤N_2O气体排放进行田间原位观测,并运用DNDC模型进一步探究马铃薯田减排增产最优施氮量,结果对于促进马铃薯田温室气体减排和增产协调兼顾的旱地农业可持续发展具有积极意义。结果表明,DNDC模型可以准确地模拟马铃薯田不覆膜处理下不同施氮水平N_2O排放状况,模型效率指数在0.72~0.94之间;在覆膜处理中,低、中、高施氮量模型效率指数较苗期不覆膜处理分别下降0.21、0.52和0.50,不施氮肥处理下,模型效率指数为负值,模型不能模拟N_2O排放;DNDC模型对于各处理下马铃薯产量均有较准确的模拟效果。DNDC模型进一步表明,不覆膜状态下马铃薯田增产兼顾减排的施氮量为90~105 kg·hm~(-2);减排兼顾增产的施氮量为75~90 kg·hm~(-2)。由于DNDC模型对于覆膜处理下马铃薯田N_2O排放模拟效果不佳,通过大田实验数据分析得出:苗期覆膜可以有效增产和减少土壤N_2O排放,综合马铃薯产量和土壤N_2O减排的环保施氮量可在75 kg·hm~(-2)的基础上有所增加,但需低于150 kg·hm~(-2)。
        To explore the optimal nitrogen application rate of both N_2O emission reduction and yield increase in potato field under no-mulching and mulching treatments at seedling stage, the applicability of Denitrification-Decomposition(DNDC) model to N_2O emission and yield in potato field was verified. In this study, the potato field under natural precipitation in Shenyang was selected as the research object, and four fertilization levels(no nitrogen fertilizer, 0 kg·hm~(-2); low nitrogen fertilizer, 75 kg·hm~(-2); medium nitrogen fertilizer, 150 kg·hm~(-2) and high nitrogen fertilizer, 225 kg·hm~(-2)) were designed, with each level under both no-mulching and mulching treatments during the seedling stage. In situ N_2O emission was measured by using static chamber-gas chromatograph technique. DNDC model was used to further explore the optimal nitrogen application rate of N_2O emission reduction and yield increase in potato field. It is of positive significance to sustainably develop dryland agriculture with coordination of greenhouse gas emission reduction and yield increase in potato field. The results showed that the DNDC model could accurately simulate N_2O emissions at different nitrogen fertilization levels in no-mulching potato field. The model efficiency index was 0.72~ 0.94. Compared with the no-mulching treatment during the seedling stage, the model efficiency indexes with mulching haddecreased by 0.21, 0.54 and 0.50 of low, medium and high nitrogen fertilization levels, respectively. Without nitrogen fertilizer, the model efficiency index was negative, and the model was unable to simulate N_2O emission. The DNDC model had a relatively good simulation effect on potato yield under various treatments. It further reveled that the nitrogen application rate in the potato field under no-mulching treatment was 90~105 kg·hm~(-2) with yield increase as the primary purpose and emission reduction as the secondary purpose, whereas that was 75~90 kg·hm~(-2) with the reverse order of priories. Because the simulation effect of DNDC on N_2O emission in the potato field under mulching was not good, preliminary results from field data analysis showed that mulching treatment during seedling stage could effectively increase yield and reduce N_2O emission. Based on the comprehensive consideration of potato yield and soil N_2O emission reduction, the nitrogen application rate could be increased from 75 kg·hm~(-2) to less than 150 kg·hm~(-2).
引文
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