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Growing season evapotranspiration from Tamarix ramosissima stands under extreme arid conditions in northwest China

机译:Tamarix ramosissima的生长季蒸散量处于中国西北部的极端干旱条件下

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摘要

Given the increasing threat of water shortages in the extremely arid regions (rainfall < 50 mm year~(-1)) of northwestern China, growing season evapotranspiration (ET) associated with native species such as Tamarix ramosissima is of particular interest. Consequently, this study sought to evaluate the accuracy of daily ET estimates using Bowen ratio data, as well as measuring seasonal ET and development of an energy balance for a stand of T. ramosissima. Bowen ratio apparatus measurements of ET were carried out on a stand of T. ramosissima in a 2.04 km~2 field, which are all covered with T. ramosissima near Erdaoqiao, Ejina Province, Inner Mongolia Autonomous Region, China. Soil moisture content and green area index were also monitored. Daily ET could be accurately estimated from Bowen ratio data on a continuous basis over the 153-day growing season. The mean daily T. ramosissima ET over this period was 1.62 mm day~(-1), for a seasonal total of 248.20 mm. In this extremely arid locale, the great majority of available energy dissipated over the growing season was a result of sensible rather than latent heat fluxes. While the heat storage term was the main source of energy at night and a considerable sink of energy during the daytime, the magnitude of the daily mean soil heat flux was small. Such a determination of temporal and ecosystem-specific ET patterns allows an improved prediction of ET in the desert riparian zone.
机译:鉴于中国西北极端干旱地区(降雨量<50 mm年〜(-1))水资源短缺的威胁越来越大,因此特别关注与Ta柳等本地物种相关的生长期蒸散发(ET)。因此,本研究试图使用Bowen比率数据评估每日ET估算的准确性,以及测量季节性ET和ram.sima的林分能量平衡的发展。 ET的Bowen比仪在2.04 km〜2的T. ramosissima支架上进行了测量,这些支架都被内蒙古自治区额济纳市二道桥附近的T. ramosissima覆盖。还监测了土壤水分含量和绿地指数。在153天的生长季节中,可以连续不断地从Bowen比率数据准确估计每日ET。在此期间,平均每日T. ramosissima ET为1.62 mm day〜(-1),季节性总数为248.20 mm。在这个极端干旱的地区,整个生长季节耗散的大部分可利用能量是感性而非潜热通量的结果。虽然储热术语是夜间的主要能源,而白天则是相当大的能量汇,但土壤平均日热通量的幅度很小。对时间和生态系统特定的ET模式的这种确定可以改进沙漠河岸带中ET的预测。

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