Кл.слова (ненормированные):
BCEF -- BEF -- Forest biomass structure -- Northern Eurasian forests -- Root-to-shoot ratio -- Bioconversion -- Biomass -- Environmental regulations -- Expansion -- Global warming -- Regression analysis -- Uncertainty analysis -- BCEF -- Food and agriculture organization's -- Forest biomass -- Forest resource assessments -- Northern Eurasian forests -- Root to shoot ratio -- Terrestrial vegetation -- United nations framework convention on climate changes -- Forestry
Аннотация: Biomass structure is an important feature of terrestrial vegetation. The parameters of forest biomass structure are important for forest monitoring, biomass modelling and the optimal utilization and management of forests. In this paper, we used the most comprehensive database of sample plots available to build a set of multi-dimensional regression models that describe the proportion of different live biomass fractions (i.e., the stem, branches, foliage, roots) of forest stands as a function of average stand age, density (relative stocking) and site quality for forests of the major tree species of northern Eurasia. Bootstrapping was used to determine the accuracy of the estimates and also provides the associated uncertainties in these estimates. The species-specific mean percentage errors were then calculated between the sample plot data and the model estimates, resulting in overall relative errors in the regression model of -0.6%, -1.0% and 11.6% for biomass conversion and expansion factor (BCEF), biomass expansion factor (BEF), and root-to-shoot ratio respectively. The equations were then applied to data obtained from the Russian State Forest Register (SFR) and a map of forest cover to produce spatially distributed estimators of biomass conversion and expansion factors and root-to-shoot ratios for Russian forests. The equations and the resulting maps can be used to convert growing stock volume to the components of both above-ground and below-ground live biomass. The new live biomass conversion factors can be used in different applications, in particular to substitute those that are currently used by Russia in national reporting to the UNFCCC (United Nations Framework Convention on Climate Change) and the FAO FRA (Food and Agriculture Organization's Forest Resource Assessment), among others. © 2018 by the authors.
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Держатели документа:
International Institute for Applied Systems Analysis, Laxenburg, Austria
Forestry Faculty, Bauman Moscow State Technical University, Mytischi, Russian Federation
School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
Institute of Forest Siberian Branch Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, Russian Federation
Education and Research Institute of Forestry and Park Gardening, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
Institute of Numerical Mathematics of Russian Academy of Sciences, Ul. Gubkina 8, Moscow, Russian Federation
The Earth Science Museum, M.V. Lomonosov Moscow State University, 1 Leninskiye Gory, GSP-1, Moscow, Russian Federation
Доп.точки доступа:
Schepaschenko, D.; Moltchanova, E.; Shvidenko, A.; Blyshchyk, V.; Dmitriev, E.; Martynenko, O.; See, L.; Kraxner, F.