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标题：Quantification Of Leaf Emissivities Of Forest Species: Effects On Modelled Energy And Matter Fluxes In Forest Ecosystems
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作者：Nina Tiralla ; Oleg Panferov ; Heinrich Kreilein 等
期刊名称：Geography, Environment, Sustainability
印刷版ISSN：2071-9388
电子版ISSN：2542-1565
出版年度：2019
卷号：12
期号：2
页码：245-258
DOI：10.24057/2071-9388-2018-86
出版社：Lomonosov Moscow State University
摘要：Climate change has distinct regional and local differences in its impacts on the land sur face. One of the important parameters determining the climate change signal is the emissivity ( ε ) of the sur face. In forest-climate interactions, the leaf sur face emissivity plays a decisive role. The accurate determination of leaf emissivities is crucial for the appropriate interpretation of measured energy and matter fluxes between the forest and the atmosphere. In this study, we quantified the emissivity of the five broadleaf tree species Acer pseudoplatanus, Fagus sylvatica, Fraxinus excelsior, Populus simonii and Populus candicans. Measurements of leaf sur face temperatures were conducted under laboratory conditions in a controlled-climate chamber within the temperature range of 8 °C and 32°C. Based on these measurements, broadband leaf emissivities ε ( ε for the spectral range of 8-14 µm) were calculated. Average ε 8-14 µm was 0.958±0.002 for all species with very little variation among species. In a second step, the soil-vegetation-atmosphere transfer model ‘MixFor-SVAT ’ was applied to examine the effects of ε changes on radiative, sensible and latent energy fluxes of the Hainich forest in Central Germany. Model experiments were driven by meteorological data measured at the Hainich site. The simulations were forced with the calculated ε value as well as with minimum and maximum values obtained from the literature. Significant effects of ε changes were detected. The strongest effect was identified for the sensible heat flux with a sensitivity of 20.7 % per 1 % ε change. Thus, the variability of ε should be considered in climate change studies.
关键词：Leaf emissivity; matter flux; energy flux; MixFor-SVAT