Estimation of winter leaf area index and sky view fraction for snow modelling in boreal coniferous forests: consequences on snow mass and energy balance     

Sirpa Rasmus  David Gustafsson  Harri Koivusalo  Ari Laurén  Achim Grelle  Olli‐Kalle Kauppinen  Ola Lagnvall  Anders Lindroth  Kai Rasmus  Magnus Svensson  Per Weslien 《水文研究》2013,27(20):2876-2891

Leaf area index (LAI) and canopy coverage are important parameters when modelling snow process in coniferous forests, controlling interception and transmitting radiation. Estimates of LAI and sky view factor show large variability depending on the estimation method used, and it is not clear how this is reflected in the calculated snow processes beneath the canopy. In this study, the winter LAI and sky view fraction were estimated using different optical and biomass‐based approximations in several boreal coniferous forest stands in Fennoscandia with different stand density, age and site latitude. The biomass‐based estimate of LAI derived from forest inventory data was close to the values derived from the optical measurements at most sites, suggesting that forest inventory data can be used as input to snow hydrological modelling. Heterogeneity of tree species and site fertility, as well as edge effects between different forest compartments, caused differences in the LAI estimates at some sites. A snow energy and mass balance model (SNOWPACK) was applied to detect how the differences in the estimated values of the winter LAI and sky view fraction were reflected in simulated snow processes. In the simulations, an increase in LAI and a decrease in sky view fraction changed the snow surface energy balance by decreasing shortwave radiation input and increasing longwave radiation input. Changes in LAI and sky view fraction affected directly snow accumulation through altered throughfall fraction and indirectly snowmelt through the changed surface energy balance. Changes in LAI and sky view fraction had a greater impact on mean incoming radiation beneath the canopy than on other energy fluxes. Snowmelt was affected more than snow accumulation. The effect of canopy parameters on evaporation loss from intercepted snow was comparable with the effect of variation in governing meteorological variables such as precipitation intensity and air temperature. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

东印度洋细菌类群水平与垂直分布初探   总被引：1，自引：0，他引：1  

王静  阚金军  BORECKI Laur  张晓东  王东晓  孙军 《海洋学报(英文版)》2016,35(6):85-93

作为海洋食物网的重要组成部分,微生物在海洋的生物化学循环以及能量和元素流动中起着重要的作用。目前对东印度洋中微生物的种群结构和分布知之甚少。本研究运用分子生物学手段,包括多聚酶链式反应-变形梯度凝胶电泳(PCR-DGGE)技术和高通量测序技术,对东印度洋的赤道区域以及邻近的孟加拉湾区域水体中细菌的16S rRNA基因进行了探索。结果表明,Bacteroidetes, Proteobacteria (Alpha和Gamma类群), Actinobacteria, Cyanobacteria和Planctomycetes为研究区域微生物的主要类群。通过PCR-DGGE,发现微生物类群具有显著的水平分布模式;进一步的高通量测序的结果更加清晰的显示出细菌类群的垂直分布模式:相对其他两层,Cyanobacteria和Actinobacteria在25米水层出现更多;Bacteroidetes在25m和150m为主要类群,而在75m水层相对较少;Proteobacteria (主要为Alphaproteobacteria)类群在75m水层为优势类群。随着水层的加深,不同站位的细菌类群组成趋于一致。结果表明高通量测序能够把占据微小部分的微生物类群区分出来。本研究是针对东印度洋水体中细菌的水平和垂直分布以及多样性信息的首次报道,研究结果对于进一步发现潜在微生物功能类群以及探索这些微生物在东印度洋中的能量和物质循环中的作用有所帮助。  相似文献