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灌水量对温室番茄土壤CO_2、N_2O和CH_4排放的影响
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  • 英文篇名:Effects of irrigation amounts on soil CO_2, N_2O and CH_4 emissions in greenhouse tomato field
  • 作者:陈慧 ; 商子惠 ; 王云霏 ; 朱艳 ; 蔡焕杰
  • 英文作者:CHEN Hui;SHANG Zi-hui;WANG Yun-fei;ZHU Yan;CAI Huan-jie;College of Engineering, Huazhong Agricultural University;College of Water Resources and Architectural Engineering, Northwest A&F University;Ministry of Education Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Northwest A&F University;
  • 关键词:充分灌溉 ; 亏缺灌溉 ; 温室气体 ; 番茄产量 ; 全球增温潜势
  • 英文关键词:full irrigation;;deficit irrigation;;greenhouse gas emission;;tomato yield;;global warming potential
  • 中文刊名:应用生态学报
  • 英文刊名:Chinese Journal of Applied Ecology
  • 机构:华中农业大学工学院;西北农林科技大学水利与建筑工程学院;西北农林科技大学旱区农业水土工程教育部重点实验室;
  • 出版日期:2019-07-15 13:41
  • 出版单位:应用生态学报
  • 年:2019
  • 期:09
  • 基金:国家重点研发计划项目(2016YFC0400200);; 国家自然科学基金项目(51309192)资助~~
  • 语种:中文;
  • 页:246-256
  • 页数:11
  • CN:21-1253/Q
  • ISSN:1001-9332
  • 分类号:S626;S641.2;S154.1
摘要
为揭示不同灌水量对温室番茄土壤CO_2、N_2O和CH_4排放及作物产量的影响,提出有效的减排措施,试验设置充分灌溉(1.0W,W_(1.0);W为充分供水的灌水量)、亏缺20%灌溉(0.8W,W_(0.8))和亏缺40%灌溉(0.6W,W_(0.6))3个灌水水平,采用静态暗箱/气相色谱法于2017年4—12月对两茬温室番茄土壤CO_2、N_2O和CH_4进行全生长季监测,分析土壤CO_2、N_2O和CH_4排放对不同灌水量的响应.结果表明:番茄两个生长季中,土壤CO_2、N_2O和CH_4排放量均随着灌水量增加呈现逐渐增加的趋势(W_(1.0)>W_(0.8)>W_(0.6)),除W_(0.6)和W_(1.0)处理间土壤N_2O排放具有显著差异外,其他各处理间气体排放差异均不显著.与W_(1.0)处理相比,W_(0.6)和W_(0.8)处理土壤CO_2排放分别减小了12.2%和8.3%,N_2O分别减小了19.1%和8.0%,CH_4分别减小了11.0%和6.2%.番茄产量和由土壤N_2O和CH_4引起的全球增温潜势(GWP)均随灌水量增加而增加;与W_(1.0)处理相比,W_(0.6)处理产量和GWP显著减小,降幅分别为17.0%和22.9%,而W_(0.8)处理对两者未产生显著影响.单位产量GWP随灌水量增加表现为先增加后降低的趋势(W_(0.8)>W_(1.0)>W_(0.6)),处理间差异不显著.灌溉水利用效率(IWUE)随灌水量增加而降低,与W_(1.0)处理相比,W_(0.6)和W_(0.8)处理IWUE分别增加了38.3%和9.4%.回归分析表明,土壤CO_2排放通量与土壤水分呈指数负相关关系;土壤CH_4通量与土壤水分呈线性正相关关系;当土壤温度小于18℃和大于18℃时,土壤N_2O排放通量与土壤温度间均呈指数负相关关系.灌水增加了番茄产量和温室气体排放,但降低了IWUE.综合考虑番茄产量、IWUE和温室效应,推荐W_(0.8)处理为较佳的灌溉模式.
        To understand the effects of different irrigation amounts on soil CO_2, N_2O, and CH_4 emission characteristics and tomato yield, and further put forward effective reduction measures, we carried out an experiment with three irrigation levels: full irrigation(1.0 W, W_(1.0); W meant irrigation amount needed to provide the adequate water), 20% deficit irrigation(0.8 W, W_(0.8)) and 40% deficit irrigation(0.6 W, W_(0.6)). We used static closed chamber and gas chromatography method to measure greenhouse gas emission in two consecutive greenhouse tomato rotation cycles from April to December, 2017. The results showed that cumulative soil CO_2, N_2O and CH_4 emissions increased with increasing irrigation amounts in the two growing seasons(W_(1.0)>W_(0.8)>W_(0.6)), and significant difference of N_2O between W_(0.6) and W_(1.0) was observed, while other treatment effects on soil gas emissions were not obvious. Compared to W_(1.0), cumulative soil CO_2 emissions were decreased by 12.2% and 8.3%, cumulative soil N_2O emissions were decreased by 19.1% and 8.0%, and cumulative soil CH_4 emissions were reduced by 11.0% and 6.2% for W_(0.6) and W_(0.8), respectively. Tomato yield and global warming potential of soil N_2O and CH_4 emissions(GWP) increased as irrigation amount increasing. Compared with W_(1.0), W_(0.6) significantly decreased tomato yield by 17.0% and GWP by 22.9%, while the difference between the effects of W_(0.8) and W_(1.0) on these two parameters was not significant. Global warming potential per tomato yield presented an increase then a decrease as irrigation amount increasing(W_(0.8)>W_(1.0)>W_(0.6)), but without stanificance. Irrigation water use efficiency(IWUE) showed a decrease with increasing irrigation amount. Compared with W_(1.0), IWUE under W_(0.6) and W_(0.8) was increased by 38.3% and 9.4%, respectively. Soil CO_2 flux was nega-tively and exponentially correlated with soil moisture. The dependence of soil CH_4 flux on soil moisture showed a significantly positive correlation. An exponential negative correlation was observed between the soil N_2O flux and soil temperature when soil temperature was below or above 18 ℃. Irrigation increased tomato yield and soil greenhouse gas emissions, but decreased IWUE. Therefore, W_(0.8) was the best mode of irrigation management when synthetically considering tomato yield, IWUE, and greenhouse effect.
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