文献类型：期刊文献

中文题名：苹果树冠层-空气温差变化及其与环境因子的关系

英文题名：Variation of apple tree canopy-air temperature difference and its relations to environment factors

作者：孟平[1] 张劲松[1] 高峻[1] 王鹤松[1] 任庆福[1]

第一作者：孟平

机构：[1]中国林业科学研究院林业研究所国家林业局林木培育重点实验室

年份：2007

卷号：18

期号：9

起止页码：2030-2034

中文期刊名：应用生态学报

外文期刊名：Chinese Journal of Applied Ecology

收录：MEDLINE(收录号：18062308);CSTPCD;;Scopus(收录号：2-s2.0-36049033649);北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；PubMed;

基金：中国林业科学研究院重点基金项目;国家自然科学基金项目(30371186);国家"十五"科技攻关资助项目(2001/2004BA510B04).

语种：中文

中文关键词：苹果树;冠层-空气温差;土壤水分

外文关键词：apple tree; canopy-air temperature difference; soil water

分类号：S512.11

摘要：于2002—2005年,采用红外测温仪观测得到苹果树主要生长季节冠层温度数据,结合同步观测得到冠层净辐射(Rn)、风速(V)、空气温度(Ta)和湿度(RH)等冠层微气象要素数据及0～80cm土壤含水量(SW),分析苹果树冠层-空气温差(△T)变化规律及其与环境因子的关系.结果表明:苹果树主要生长季节(萌芽期—果实迅速膨大期)晴天△T日变化呈多峰曲线分布,△T最高值都出现在12:00—13:00左右;阴天△T日变化呈多峰曲线分布,但△T绝对值明显低于晴天日.2003年和2004年晴天日14:00△T与Rn、V、RH及SW具有较好的复相关关系:ΔT=7.159-0.002Rn-0.061V-0.7RH-46.0SW(r=-0.825),与Rn、RH、V及SW的偏相关系数分别为0.125、-0.078、-0.036和-0.874,逐步回归方程式为ΔT=5.317-43.1SW,说明土壤水分对△T的影响程度相对最大.经2002年和2005年观测数据验证,△T观测值与计算值吻合关系较好,二者线性相关系数可达0.9083.这说明采用晴天日14:00时刻数据分析△T的影响机制,预测土壤水分含量具有很好的可行性.
By using portable infrared thermometer, the canopy temperature （ Tc ） of apple tree in its main growth season was measured in 2002-2005. Combined with the synchronous micro-meteorological data on the canopy, such as net radiation （ Rn ） , wind speed （V） , air temperature （ Ta ） and relative humidity （RH）, as well as the soil water content （SW） at 0-80 cm depth, the variation of apple tree canopy-air temperature differential （ △T） and its relationships to environmental factor were analyzed. The results showed that from bud stage to fruit-developing stage, there were several peaks in the diurnal curve of △T, with the maximum at 12：00-13：00 in fine days, and the absolute value of △T in fine days was higher than that in overcast days. Based on data of 2003 and 2004, the △T at 14：00 was significantly correlated with the RH, V, Rn, SW in fine days, and the regression equation was △T = 7. 159 - 0. 002Rn - 0. 061V - 0. 7RH - 46. 0SW （ P 〈 0.01, r = 0. 825 ）. The partial coefficient for Ro, RH, V and SW was 0. 125, - 0. 078, - 0. 036, - 0. 874, respectively, and the stepwise regression equation was △T = 5. 317 -43. 1SW （P 〈 0.01 ）, suggesting that SW was the most important environmental factor affecting △T. After validated with the measured data in 2002 and 2005, it was found that the measured △T was highly accorded with the simulated one （r =0. 9083, P 〈0.01, n =40）, and thus, it was of possibility to use the data of △T at 14：00 in fine days to predict the soil water content in apple orchard.