The Relationship Among Transpiration Rate and Environmental Factors in Sandy Coast
Haiyan Song
Abstract
Haiyan Song
Abstract
The relationship among transpiration rate and environmental factors for coastal protection forest was studied in Rizhao.The main results indicated that:significant differences exist in diurnal average transpiration rate and the range of diurnal transpiration rate;The transpiration rate of Sawtooth Oak,Amorpha,Lalang Grass varied with a regular double apex rhythm,but that of the rest varied with a regular single apex rhythm,stomatal conductance play a maximal important role in transpiration rate,temperature(air temperature,the earth's surface temperature) also influence the transpiration rate;Transpiration rate has prominent negative correlation with the relative air humidity,the biggest coefficient is 0.866.Through the methods of multiple linear stepwise regressions,the main environment factors were found and multiple linear regression models among the transpiration rate and environment factors were set up.
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The relationship among transpiration rate and environmental factors for coastal protection forest was studied in Rizhao.The main results indicated that:significant differences exist in diurnal average transpiration rate and the range of diurnal transpiration rate;The transpiration rate of Sawtooth Oak,Amorpha,Lalang Grass varied with a regular double apex rhythm,but that of the rest varied with a regular single apex rhythm,stomatal conductance play a maximal important role in transpiration rate,temperature(air temperature,the earth's surface temperature) also influence the transpiration rate;Transpiration rate has prominent negative correlation with the relative air humidity,the biggest coefficient is 0.866.Through the methods of multiple linear stepwise regressions,the main environment factors were found and multiple linear regression models among the transpiration rate and environment factors were set up.
Key concepts: Transpiration, Relative humidity, Environmental science, Humidity, Atmospheric sciences, Linear regression, Botany, Meteorology