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Biological and Environmental Controls on Evaporative Fractions at AmeriFlux Sites

机译:AmeriFlux站点蒸发部分的生物和环境控制

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Knowledge of the evaporative fraction (EF: the ratio of latent heat flux to the sum of sensible and latent heat fluxes) and its controls is particularly important for accurate estimates of water flux, heat exchange, and ecosystem response to climatic changes. In this study, the biological and environmental controls on monthly EF were evaluated across 81 AmeriFlux sites, mainly in North America, for 2000-12. The land-cover types of these sites include forest, shrubland, grassland, and cropland, and the local climates vary from humid to arid. The results show that vegetation coverage, indicated by the normalized difference vegetation index (NDVI), has the best agreement with EF (site-averaged partial correlation coefficient = 0.53; significance level p 0.05) because of vegetation transpiration demand. The minimum air temperature is closely related to EF (site-averaged = 0.51; p 0.05) because of the inhibition of respiratory enzyme activity. Relative humidity, an indicator of surface aridity, shows a significant positive correlation with EF (site-averaged = 0.46; p 0.05). The impacts of wind speed and diurnal air temperature range on EF depend on land-cover types and are strong over grasslands and cropland. From these findings, empirical methods were established to predict monthly EF using meteorological data and NDVI. Correlation coefficients between EF estimates and observations range from 0.80 to 0.93, with root-mean-square errors varying from 0.09 to 0.12. This study demonstrates the varying controls on EF across different landscapes and enhances understanding of EF and its dynamics under changing climates.
机译:了解蒸发分数(EF:潜热通量与感热通量和潜热通量之和的比)及其控制对于准确估算水通量,热交换和生态系统对气候变化的响应尤其重要。在这项研究中,对2000-12年间主要在北美的81个AmeriFlux站点进行了每月EF的生物和环境控制评估。这些地点的土地覆盖类型包括森林,灌木丛,草原和农田,当地气候从潮湿到干旱都有变化。结果表明,由于植被蒸腾的需求,用归一化植被指数(NDVI)表示的植被覆盖度与EF最佳吻合(局部平均相关系数= 0.53;显着性水平p <0.05)。最低空气温度与EF密切相关(站点平均= 0.51; p <0.05),因为它抑制了呼吸酶的活性。相对湿度是表面干旱的一种指标,与EF呈显着正相关(位置平均值= 0.46; p <0.05)。风速和昼夜气温范围对EF的影响取决于土地覆盖类型,并且在草原和农田上影响很大。根据这些发现,建立了使用气象数据和NDVI预测每月EF的经验方法。 EF估计值与观测值之间的相关系数在0.80至0.93之间,均方根误差在0.09至0.12之间。这项研究表明了在不同景观中对EF的不同控制,并增强了人们对EF及其在气候变化下的动态的理解。

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