Soil temperature under forests: a simple model for predicting soil temperature under a range of forest types
Soil temperature under forests: a simple model for predicting soil temperature under a range of forest types
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DOI：
10.1016/j.agrformet.2003.08.030
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发表时间：
2004-02-20
影响因子：
6.2
通讯作者：
Khanna, PK
中科院分区：
文献类型：
--
作者：
Paul, KI;Polglase, PJ;Khanna, PK
本文建立了一个新的模型（森林土壤温度- stuf），用于预测不同森林类型下表层土壤日平均温度从建立到采伐的季节变化。使用模拟期间（大于1年）的日气温来估计年平均气温、其幅度和日波动。然后，根据这些信息，利用经验修正来预测每日土壤温度，以考虑树冠、下层植被和杂草、凋落物层的质量和预测土壤温度的深度的影响。在一系列森林物种、年龄和管理制度下，对澳大利亚南部51个地点的土壤温度进行了测量。该模型被参数化到这些数据集中的31个，其余的用于验证。该模型解释了后者观测到的平均日土壤温度的85%的变化。尽管观测到的冠层和凋落物盖度范围很广，但模型性能保持不变。敏感性分析表明，气温、叶面积指数和土壤深度是最重要的输入数据。对于不太重要的输入，如凋落物的质量和杂草或林下植被覆盖的地面面积的比例，使用默认值或地面覆盖比例评分程序可能就足够了。该模型提供了一种简单而准确的方法来预测任意深度增量下的土壤日温度。它可以用于土壤剖面中需要精确的每日平均土壤温度预测的地方，例如生成数据来驱动有机物质分解和营养物质矿化的模型。(C) 2003, Elsevier B.V.出版
A new model (soil temperature under forests-STUF) is described for predicting the seasonal variation of daily average temperature within surface soil layers under a range of forest types from the time of establishment through to harvesting. Daily air temperature for the period of simulation (greater than 1 year) was used to estimate the average annual air temperature, its amplitude, and daily fluctuations. Daily soil temperatures were then predicted from this information using empirical modifications to allow for the effects of canopies of trees, understorey and weeds, mass of the litter layer, and depth at which soil temperature is predicted. Measurements of soil temperature under a range of forest species, ages and management systems were available for 51 sites across southern Australia. The model was parameterised to 31 of these data sets, and the remainder used for validation. The model explained 85% of the variation in observed average daily soil temperature in the latter. Despite the wide range in observed canopy and litter cover, model performance was maintained. Sensitivity analysis indicated that the most important input data required were air temperature, leaf area index and soil depth. For less important inputs such as mass of litter and fraction of ground area covered by weeds or understorey, it may be adequate to use either default values or a scoring procedure for ground cover fractions. The model provides a simple and accurate means to predict daily temperatures in soil in any chosen depth increment. It can be used where accurate daily predictions of average soil temperature are required in a soil profile, for example to generate data to drive a model of organic matter decomposition and mineralisation of nutrients. (C) 2003 Published by Elsevier B.V.