Filters: Tags: RNA (X)
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ACECs are areas where special management is needed to protect important historical, cultural, or scenic values, fish and wildlife resources, or other natural systems or processes, or to identify areas hazardous to human life and property. Criteria for ACECs can be found at: BLM Manual 1613 and 43 CFR 1610.7-2(b). RNAs are areas where natural processes are allowed to predominate and which is preserved for the primary purposes of research and education. Under current BLM policy, RNAs must meet the relevance and importance criteria of ACECs and are designated as ACECs. Criteria for RNAs can be found at: BLM Manual 1613 and 43 CFR 1610.7-2(b). ONAs are areas with high scenic values that have been little altered by human...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: ACEC,
Areas of Critical Environmental Concern,
BLM,
Idaho,
Land Use Planning,
We characterized, at millimeter resolution, bacterial biomass, diversity, and vertical stratification of biological soil crusts in arid lands from the Colorado Plateau. Microscopic counts, extractable DNA, and plate counts of viable aerobic copiotrophs (VAC) revealed that the top centimeter of crusted soils contained atypically large bacterial populations, tenfold larger than those in uncrusted, deeper soils. The plate counts were not always consistent with more direct estimates of microbial biomass. Bacterial populations peaked at the immediate subsurface (1-2 mm) in light-appearing, young crusts, and at the surface (0-1 mm) in well-developed, dark crusts, which corresponds to the location of cyanobacterial populations....
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: DNA,
Microbial Ecology,
RNA,
bacteria,
biomass,
Categories: Project;
Tags: 2010,
ACEC,
Area of Critical Environmental Concern,
Bureau of Land Mangement (BLM),
Climate Change,
A survey of public honey bee sequence data was performed to detect infections by Lake Sinai Virus (LSV). The Sequence Read Archive of the National Center for Biotechnology Information (NCBI) was queried to identify accessions of RNA sequence data derived from honey bee. These were filtered as described below and then up to 50 million reads or read pairs were downloaded and searched against a reference database of conserved LSV sequence. Accessions with matches above a specified threshold were downloaded in their entirety and assembled into longer contiguous sequences (contigs). The result contigs were searched against each open reading frame (ORF) of the reference LSV genome present in the NCBI database (accession...
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