https://scholars.lib.ntu.edu.tw/handle/123456789/606297
標題: | Empirical estimation of soil temperature and its controlling factors in Australia: Implication for interaction between geographic setting and air temperature | 作者: | Zhang T Huang J.-C Lei Q Liang X Lindsey S Luo J Zhu A.-X Bao W Liu, Hongbin |
關鍵字: | Cosine function;Feature analysis;Geographic setting;Model parameters;Soil temperature;abundance estimation;accuracy assessment;air temperature;algorithm;ecological stability;empirical analysis;energy flux;environmental factor;global warming;nutrient cycling;parameterization;regression analysis;soil temperature;water flow;Australia | 公開日期: | 2022 | 卷: | 208 | 來源出版物: | Catena | 摘要: | Soil temperature is a key parameter affecting changes in the balance among energy flow, water flow, nutrient cycling, and ecological stability. In previous research on soil temperature estimation, field measurement has been valuable. However its value is uncertain for regional scale research. A regression equation algorithm approach introduces the environmental factors into consideration. The correlations between soil temperature and environmental covariates may not be linear, and most of them conform to a parabolic relationship. Therefore, based on 53 years' data (1958-2010) from 140 meteorological stations in Australia, this study applied a 3-parameter cosine wave model to fit the monthly air and soil temperature. Further, this study identified the correlations between the parameters and landscape factors using stepwise regression. The root mean square error (RMSE) and Nash-Sutcliffe efficiency coefficient (NS) were used to evaluate the accuracy of the model. The results showed that: (1) The cosine-wave function can effectively identify the monthly air/soil temperature fluctuation and the prediction accuracy increases gradually from north to south in Australia. (2) The precipitation, horizontal irradiation and elevation are predominant factors that affecting soil temperature fluctuation given a defined air temperature fluctuation. (3) Landscape factors regulate the hysteresis of air/soil temperature fluctuation. The hysteresis of soil temperature response to air temperature in Australia is in order of duration: central > south > north. Therefore, the application of the cosine function is a useful and novel technique for estimation of soil temperature, which could provide better understanding of how soil temperature fluctuation responds to the global warming. ? 2021 Elsevier B.V. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114814897&doi=10.1016%2fj.catena.2021.105696&partnerID=40&md5=9e54fe08e02bbaabe07d81dc1c86f43a https://scholars.lib.ntu.edu.tw/handle/123456789/606297 |
ISSN: | 03418162 | DOI: | 10.1016/j.catena.2021.105696 |
顯示於: | 地理環境資源學系 |
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