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Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics
Global Ecology and Biogeography, 2013Runguo Zang +2 more
exaly
Error propagation and scaling for tropical forest biomass estimates
Philosophical Transactions of the Royal Society B: Biological Sciences, 2004Jérôme Chave +2 more
exaly
Shifts in tree functional composition amplify the response of forest biomass to climate
Nature, 2018Jeremy Lichstein +2 more
exaly
Polarimetric decomposition for forest biomass retrieval [PDF]
In this paper, the decomposition of fully polarimetric SAR data into three canonical scattering mechanisms is investigated with respect to forest biomass retrieval. It is demonstrated that the dominant backscattering contribution depends strongly on the frequency, incidence angle, and stand condition.
Sauer, Stefan +3 more
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A dataset of forest biomass structure for Eurasia. [PDF]
AbstractThe most comprehensive dataset of in situ destructive sampling measurements of forest biomass in Eurasia have been compiled from a combination of experiments undertaken by the authors and from scientific publications. Biomass is reported as four components: live trees (stem, bark, branches, foliage, roots); understory (above- and below ground);
Schepaschenko D +12 more
europepmc +6 more sources
Forest biomass: linking energy to forest health [PDF]
Dr. Kurt Mackes is an Assistant Professor at Colorado State University. He received both his B.S. and M.S. Degrees in Wood Science and Technology, concentrating in wood engineering from Colorado State University and a Ph.D. in Forestry and Forest Products from Virginia Tech.
Mackes, Kurt H., author
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The most common tool to predict future changes in species range are species distribution models. These models do, however, often underestimate potential future habitat, as they do not account for phenotypic plasticity and local adaptation, although being
Katharina Julie Liepe +4 more
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New Bacillus sp. strains with spore-laccase activity were isolated from rotten wood and soil samples and were identified as Bacillus sp. FM-78 and Bacillus paramycoides FM-86 by 16S rDNA gene sequence analysis.
Jing Yang +5 more
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