The current trend of declining epiphytic richness caused by human activities (forest fragmentation, logging , agriculture, and livestock grazing) and the greater efforts required to sample and identify the most inconspicuous species have necessitated the use of indicators of the species richness. In this study, we examined the potential of predicting epiphytic lichen richness based on the richn...

The study aims at investigating the use of Landsat thematic mapper (TM) for mapping leaf area index (LAI) in coniferous and deciduous forests in southern Sweden. LAI has been estimated in the field with optical measurements, allometric equations, and litter-trap data, and empirical relationships between LAI estimates and satellite-measured reflectances have been analysed. Several common vegetat...

The article presents the results of measuring sorption moisture hardwood and coniferous species. Mathematical dependences humidity pine birch wood on relative air are derived

Burkholderia species are key players in the accumulation of carbon from cellulose decomposition in coniferous forest ecosystems. We report here the draft genome of Burkholderia sordidicola strain S170, containing features associated with known genes involved in plant growth promotion, the biological control of plant diseases, and green remediation technologies.

The competitive advantage of traditional forest industry regions such as North America, Russia and the EU is based largely on production processing coniferous (C) biomass. However, non-coniferous (NC) recycled (R) biomass provide cost-effective alternatives to C biomass, which have already decreased proportion use can potentially large impacts future development global sector. In this study, we...

Efficient forest management requires detailed knowledge of forest stands, including species information and individual tree parameters. Remote sensing data are increasingly being used to investigate forest classification at both coarse and fine levels. In this paper, we first examined the capability of QuickBird multispectral imagery for species level forest classification using eCognition soft...