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当前位置: 首页 > 文章 > 基于土壤冠层组分温差监测侧柏蒸腾速率的研究 中南林业调查规划 2016,35 (1) 34-45
Position: Home > Articles > Study on Transpiration Monitoring of Platycladus orientalis(L.) Franco Based on Soil-canopy Surface Component Temperature Difference Central South Forest Inventory and Planning 2016,35 (1) 34-45

基于土壤冠层组分温差监测侧柏蒸腾速率的研究

作  者：
孙浩;黄华国;解潍嘉;梁文业;扈晶晶
单  位：
西藏自治区林业调查规划研究院;北京林业大学省部共建森林培育与保护教育部重点实验室
关键词：
侧柏;蒸腾;液流速率;组分温差;遥感
摘  要：
试验使用红外热像仪和热平衡树干液流计(SHB)对延怀盆地中科院遥感试验站内的侧柏人工林样木进行为期1年的定点连续观测。结果表明:侧柏液流速率(F)与冠层地表组分温度(Tc和Ts)及冠地组分温差(ΔT)具有明显的周期性日变化、昼夜变化、季节变化规律,并受天气状况的影响呈现不同的变化规律;液流速率(F)与组分温差(ΔT)在瞬时尺度、日尺度、旬尺度下具有明显的负相关性;拟合结果优于传统的冠气温差法,摆脱了对地面气象站的依赖;一年中侧柏累计液流通量(F_(acc))呈线性递增。研究为通过遥感反演组分温差进行区域植被蒸腾耗水量估计和监测提供了新了思路和方法。
译  名：
Study on Transpiration Monitoring of Platycladus orientalis(L.) Franco Based on Soil-canopy Surface Component Temperature Difference
作  者：
SUN Hao;HUANG Huaguo;XIE Weijia;LIANG Wenye;HU Jingjing;Beijing Forestry University,Key Laboratory for Silvicultureand Conservation of Ministry of Education;Forest Inventory and Planning Institute of Tibet Autonomous Region;
关键词：
Platycladus orientalis(L.) Franco;;transpiration;;sap flow velocity;;component surface temperature difference;;remote sensing
摘  要：
One year continuous field monitoring was conducted on sample Platycladus orientalis( L.) Franco trees in Huailai Remote Sensing Testing Site of the Chinese Academy of Sciences using thermal infrared imager and SHB sap-flow instrument. Significant periodic daily,diurnal and seasonal variations were found out among the variation law of the sap flow velocity( F),the component temperature of soil surface( T_s) and canopy surface( T_c) and their difference( ΔT). And the climate has a great impact on these variation patterns.A significant negative correlation was found between the F and the ΔT with different time scale. Compared with traditional temperature difference method,this new model better fits the reality,which eliminates the use of surface weather stations. In addition,there was an increasing linear trend between the cumulative sap flow flux versus the day of year( d). The current research has provided new thoughts and ways for the monitoring and prediction of water consumption during the process of plant transpiration by remote sensing inversion methods of components temperature difference.

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