检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]内蒙古阿拉善盟林业治沙研究所,内蒙古阿拉善750306
出 处:《防护林科技》2017年第9期35-39,47,共6页Protection Forest Science and Technology
摘 要:为了分析白刺蒸腾速率随其影响因子的变化规律,选取了影响蒸腾速率的12个因子,通过主成分分析方法进行综合分析。结果表明:(1)气孔导度、50cm土壤含水量与蒸腾速率呈典型的正相关关系;空气温度平均值、净辐射、10cm土壤含水量、水汽压与蒸腾速率呈显著相关关系;光合速率、胞间CO_2浓度与蒸腾速率呈正相关关系;叶片水势、风速与蒸腾速率呈负相关关系;30cm土壤含水量、相对湿度平均值与蒸腾速率之间无显著的相关关系。(2)影响白刺叶片蒸腾速率的因子可归类为4个主成分:第一主成分包括气孔导度、10cm土壤含水量、50cm土壤含水量、空气温度、水汽压,这些因子均与第一主成分呈现正相关;第二主成分包括光合速率、相对湿度、10cm土壤含水量、空气温度,其中光合速率、相对湿度与第二主成分呈正相关,其他两项与第二主成分呈负相关;第三主成分中比较显著的因子为30cm土壤含水量、叶片水势,其中30cm土壤含水量表现为显著的负相关关系;第四主成分主要包括胞间CO_2浓度、净辐射,其中胞间CO_2浓度与第四主成分间存在显著负相关关系。(3)白刺蒸腾速率与影响因子回归方程为Y=-7.077+10.078 X_2+0.214 X_4-3.011 X_7-0.195 X_5,R^2为0.855,模拟效果较好。In order to analyze the regularity of the transpiration rate of the Nitraria tangutorum, the 12 factors influ-encing the transpiration rate were selected and analyzed by the principal component analysis method. Result shows that: (1) Stomatal conductance, 50 cm soil water content and transpiration rate were positively correlated, air tem-perature average, net radiation,10 cm soil water content, water vapor pressure and transpiration rate were signifi-cantly correlated; rate〉 intercellular CO2 have negative correlation with transpiration; leaf water potential,wind speed and transpiration rate appear negative correlation. There was no significant correlation between soil water con-tent , relative humidity and transpiration rate. (2) The factors that affect the transpiration rate of Nitraria tanguto-rum can be classified into four principal components. The first principal component includes stomatal conductance,10 cm soil water content, 50 cm soil water content, air temperature and water vapor pressure. And the second main component includes photosynthetic rate, relative humidity, 10 cm soil water content and air temperature. The pho-tosynthetic rate and relative humidity are positively correlated with the second principal component, and the other two components are negatively correlated with the second principal component. The third major component of the third principal component is 30 cm soil water content, leaf water potential,and 30 cm soil water content showed significant negative correlation. The fourth principal component mainly included intercellular CO2 concentration, net radiation; there is a significant negative correlation between the CO2 concentration and the fourth principal compo-nent. (3) The regression equation of Bordeaux breviscapus and influencing factors is Y =7. 077 + 10. 078X2 + 0 . 214X4 -3. 011X7 - 0. 195X5,R^2 is 0. 855,and the simulation results are optimal.
分 类 号:S161.4[农业科学—农业气象学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.145