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基于DNDC模型的稻田温室气体排放通量模拟

赵苗苗1,3,邵蕊1,杨吉林2,3,赵芬1,3,徐明1,3*   

  1. (1中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室, 北京 100101;2中国科学院地理科学与资源研究所陆地表层格局与模拟院重点实验室, 北京 100101;3中国科学院大学, 北京 100049)
  • 出版日期:2019-04-10 发布日期:2019-04-10

Simulation of greenhouse gas fluxes in rice fields based on DNDC model.

ZHAO Miao-miao1,3, SHAO Rui1, YANG Ji-lin2,3, ZHAO Fen1,3, XU Ming1,3*   

  1. (1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 3University of Chinese Academy of Sciences, Beijing 100049, China).
  • Online:2019-04-10 Published:2019-04-10

摘要: 理解土地利用方式转变过程影响生态系统生物地球化学循环及温室气体排放的机理,并利用模型模拟土地利用方式转变过程对温室气体通量的影响是一项长期、艰巨的科学任务。本研究基于国际上广泛应用的生物地球化学过程模型(DNDC模型),结合气象、土壤和管理措施等数据,模拟了旱田转水田土地利用方式转变后稻田CH4、CO2和N2O三种温室气体的通量和常年种植水稻的稻田温室气体通量,并将模拟值与观测值进行比较。结果表明:DNDC模型能够较好地模拟新、老稻田温室气体通量的季节变化,但对老稻田温室气体的排放通量模拟效果(R2>0.89,n=40,P<0.01)优于新转稻田(R2>0.79,n=265,P<0.01),且对CH4和CO2的模拟效果优于对N2O的模拟效果;根据田间观测数据,改变模型模拟土地利用方式转换前后土壤SOC浓度和pH值,并不能完全模拟土地利用变化对温室气体的影响,微生物群落在土地利用方式转变过程中可能发生较大变化,需要在模型中进一步体现。通过模型模拟土地利用方式改变对温室气体排放的影响,可为国家温室气体、碳排放清单的编制及管理政策的制定提供参考依据。

关键词: 脊尾白虾, 盐度, 繁殖, 生长发育

Abstract: It is an arduous scientific task to understand the mechanism of land use change process affecting ecosystem biogeochemical cycles and to use models to simulate the impacts of land use change on greenhouse gas flux. Using the DNDC model, a biogeochemical process based modeling, and meteorological, soil and management data, we estimated the greenhouse gas fluxes of CH4, CO2, and N2O in both new and old rice fields. Compared with the observed data, the DNDC model performed better in the old rice fields (R2>0.89, n=40, P<0.01) than in the new paddy fields (R2> 0.79, n=265, P<0.01), indicating that the model has limitations in capturing the land use change effects on greenhouse gas effluxes. The model performed better for CH4 and CO2 than for N2O. Changing soil SOC concentration and pH value is not enough to fully capture the land use change effect on greenhouse gas emissions, suggesting that soil biota associated with land use change have to be considered in the future to improve the model. Using model to simulate the effects of land use change on greenhouse gas effluxes may contribute to the national greenhouse gas emission inventories and the formulation of greenhouse gas management policy.

Key words: Exopalaemon carinicauda, salinity, reproduction, growth and development.