杨红,柳文杰,刘合满,曹丽花.西藏玉米田养鹅模式下的土壤碳排放特征[J].干旱地区农业研究,2022,40(1):203~212
西藏玉米田养鹅模式下的土壤碳排放特征
Characteristics of soil carbon emission under the model of raising geese in corn field in Tibet
  
DOI:10.7606/j.issn.1000-7601.2022.01.23
中文关键词:  玉米田养鹅  土壤呼吸  土壤温度  体积含水量  土壤碳排放特征
英文关键词:Raising geese in corn field  soil respiration  soil temperature  volume water content  characteristics of soil carbon emission
基金项目:西藏农牧学院林学创新团队建设项目(藏财预支2020-11-13);西藏农牧学院厅校联合基金(76660026);林芝农业科技园区花卉景观设计与应用(603320005);西藏农牧学院雪域英才项目( 2015XYD06);林芝农业科技园区花卉景观设计与应用(一期)(603320005)
作者单位
杨红 西藏农牧学院资源与环境学院西藏 林芝 860000 
柳文杰 西藏农牧学院资源与环境学院西藏 林芝 860000 
刘合满 信阳农林学院河南 信阳 464000 
曹丽花 信阳农林学院河南 信阳 464000 
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中文摘要:
      为探究玉米田养鹅模式(RGC)对高寒农田土壤碳排放的影响,以藏东南玉米田养鹅模式下高寒农田为研究对象,采用开路式土壤碳通量测定系统进行实地测定。结果表明:土壤温度、体积含水量和碳排放速率均表现为“单峰型”日变化特征,但在峰值和谷值出现时间上存在差异,即土壤呼吸速率滞后于土壤温度和含水量的变化;整个生育期内,土壤碳排放速率均表现为RGC>CK,说明玉米田养鹅模式可有效提高土壤碳排放效率,但从空间变异性(变异系数CK>RGC)和温度敏感性系数(Q10值表现为CK(1.19~1.38)>RGC(1.12~1.30))来看,玉米田养鹅生产模式可有效提高土壤呼吸抵抗外界干扰的能力和降低高寒区域农田土壤温度敏感性;双变量拟合模型显示,土壤呼吸速率的日变化极显著响应于土壤温度与体积含水量的协同变化(0.862<R2<0.981),但不同测定日期的响应程度存在差异;土壤呼吸速率表现为RGC>CK,但变异系数表现为CK>RGC,说明CK的土壤呼吸更容易受到外界环境变化的影响。因此,高寒区域农田玉米田养鹅模式有利于提高土壤肥力、增加土壤碳稳定性、降低土壤碳排放速率温度敏感性。
英文摘要:
      To explore the effect of raising geese in corn field production model on soil respiration rate of alpine farmland, our study applied an experiment to compare the difference of soil respiration rates under two treatments of raising geese in corn field (RGC) and conventional maize planting (CK)in the alpine farmland of southeast Tibet. The open circuit soil carbon flux measurement system was used for field measurement. The results showed: (1) An asymmetric “single peak” trend was found for the diurnal variation of soil temperature, soil volumetric moisture content and soil respiration rate probably due tohysteresis of respiration rate. (2) During the whole growth period, the soil respiration rate showed the order of RGC > CK, meaning integration of agriculture and animal husbandry could effectively improve the efficiency of soil carbon emission. However,based on the spatial variability (coefficient of variation: CK > RGC) and temperature sensitivity coefficient (Q10 value: CK (1.19~1.38) > RGC (1.12~1.30)), the production model of “raising geese in corn field” could effectively improve soil respiration and resist external drought ability of disturbance and reduction of soil temperature sensitivity in alpine region. (3) The bivariate model fitted by soil temperature and soil volume moisture explained 0.862~0.981 of the daily variation of soil respiration rate, indicating the change of soil respiration rate was very significantly response to the synergistic change of soil temperature and soil volume moisture, but the response degree of different measurement dates was different. (4) For the two treatments, the soil respiration rate was RGC > CK, but the coefficient of variation was CK >RGC, meaning the soil respiration of CK was more easily changed by the changes of external environment. It is beneficial to improve soil fertility and soil carbon stability and reduce soil respiration rate temperature sensitivity in the alpine region.
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