0000000000716918
AUTHOR
Kai Rasmus
Estimation of winter leaf area index and sky view fraction for snow modelling in boreal coniferous forests: consequences on snow mass and energy balance
Abstract in Undetermined 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 wa…
Lake Load Response (LLR) – mallityökalu vesialueiden hoidon suunnittelun apuvälineenä
For eutrophic lakes, achieving good water quality usually requires a reduction in external loading. The Lake Load Response (LLR) tool, based on the LakeState (LS) model, can be used to predict the necessary loading reduction, which can be utilized when making decisions on the management of the lake. The best predictions are made when the input values of the incoming loading, water outflow and in-lake total phosphorus, total nitrogen and chlorophyll a concentrations are as accurate as possible. Accurate loading data is often hard to collect because of the lack of resources for observations. However, LLR-runs made for the lake Lehesjärvi-Vähäjärvi in Jyväskylä showed that examining the needed…