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12 results for “elevation survey”
June - December 2009 RTK survey of salt marsh plant ground elevations to assess the accuracy of a LIDAR-derived digital elevation model.
Real time kinematic (RTK) GPS survey of ground elevations for six plant species (Spartina alterniflora, Juncus roemerianus, Batis maritima, Distichlis spicata, Salicornia virginica and Borrichia frutescens) and two non-vegetated cover classes (salt pan and intertidal mud) was carried out from June to December 2009 to assess the accuracy of a LIDAR-derived digital elevation model. In total, 1389 ground control points (GCP) were collected for the Duplin River (Sapelo Island) and Blackbeard Creek (Blackbeard Island) salt marshes.
February- March 2010 RTK survey of salt marsh plant ground elevations, plant characteristics and soil properties to support analysis of a LIDAR-derived DEM.
Real time kinematic (RTK) GPS survey of ground elevations for six plant species (Spartina alterniflora, Juncus roemerianus, Batis maritima, Distichlis spicata, Salicornia virginica and Borrichia frutescens) and two non-vegetated cover classes (salt pan and intertidal mud) was carried out from February to March 2010 to assess the accuracy of a LIDAR-derived digital elevation model. In total, 369 ground control points (GCP) were collected for the Duplin River (Sapelo Island) and Blackbeard Creek (Blackbeard Island) salt marshes with associated plant and soil charactistics (soil salinity and water content, soil organic matter, soil redox potential). Data were collected to examine the relationships between marsh soil elevation, plant habitat distribution and soil properties and to support the analysis of a a LIDAR-derived digital elevation model (DEM) and RTK data collect in 2009.
Elevation Surveys near the inlets of Hog and Parramore Islands, VA 1988-1990
Radial optical surveys of island elevation for Hog Island and Parramore Island VA. Survey was made in 1988-1990. formatte.csv NINLET = North Hog Island. Steel Pipe marker was installed in the middle of the northern part of the island on the highest dune found. Pipe seems to have been removed, so temporary wooden stake left in place. Distances are from that point. Angles are relative to Magnetic North. Elevations are relative to high water line. Same for SINLET = South Hog Island and PARINLET = south Parramore Island except that steel pipe in place. All elevation data for north Cobb Island is MISSING and was not included.
Combining point counts and autonomous recording units improves avian survey efficacy across elevational gradients on two continents
<p>Accurate biodiversity and population monitoring is a requirement for effective conservation decision-making. Survey method bias is therefore a concern, particularly when research programs face logistical and cost limitations.</p> <p>We employed point counts (PCs) and autonomous recording units (ARUs) to survey avian biodiversity within comparable, high elevation, temperate mountain habitats at opposite ends of the Americas: 9 mountains in British Columbia (BC), Canada and 10 in southern Chile. We compared detected species richness against multi-year species inventories and examined method-specific detection probability by family. By incorporating time costs, we assessed the performance and efficiency of single vs. combined methods.</p> <p>Species accumulation curves indicate ARUs can capture ~93% of species present in BC but only ~58% in Chile, despite Chilean mountain communities being less diverse. The avian community, rather than landscape composition, appears to drive this dramatic difference. Chilean communities contain less-vocal species, which ARUs missed. Further, 6/13 families in BC were better detected by ARUs while 11/11 families in Chile were better detected by PCs. Where survey conditions differentially impacted method performance, PCs mostly varied over the morning and with canopy cover in BC, while ARUs mostly varied seasonally in Chile. Within a single year of monitoring, neither method alone was predicted to capture the full avian community, with the exception of ARUs in the alpine and subalpine of BC. PCs contributed little to detected diversity in BC, but including this method resulted in negligible increases in total time costs. Combining PCs with ARUs in Chile significantly increased species detections, again, for little cost.</p> <p>Combined methods were among the most efficient and accurate approaches to capturing diversity. We recommend conducting point counts while ARUs are being deployed and retrieved in order to capture additional diversity with minimal additional effort and to flag methodological biases using a comparative framework.</p>
Combining point counts and autonomous recording units improves avian survey efficacy across elevational gradients on two continents
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Elevation Surveys of Hog Island, VA Transects in 1989
Data from Transect Surveys. N is the North transect comprised of the 90 and 270 degree (magnetic) radials from the radial survey of the North end of Hog Island. T1 etc are the Hog Island research transects. Transects 1, 2, 4, 5 and beach profiles of 3. For each transect elevations and distance from the steel post transect marker nearest the ocean. Elevations are relative to the high water line on day when the data was collected. Terry has the dates in the field notes if they are not available in the data. This data has been reformatted for easy incorporation into the database.
Distribution. Restricted to three montane swamps (2100-2300 m) in E DR Congo (Mt Kahuzi) and high-elevation swamps in SW Uganda (Echuya Forest, Ngoto Swamp, Ruhija, Mubwindi Swamp, and Bwindi Impenetrable National Park) at 1500-2380 m. Extensive surveys in swamps in Burundi and Rwenzori Mts have notyielded any specimens. in Soricidae
Distribution. Restricted to three montane swamps (2100-2300 m) in E DR Congo (Mt Kahuzi) and high-elevation swamps in SW Uganda (Echuya Forest, Ngoto Swamp, Ruhija, Mubwindi Swamp, and Bwindi Impenetrable National Park) at 1500-2380 m. Extensive surveys in swamps in Burundi and Rwenzori Mts have notyielded any specimens.
Distribution. Known only from the Mingan Mts, E LuzonI, Philippines, at elevations of 1540-1785 m; it may be present also in adjacent S Sierra Madre and the poorly surveyed Dingalan Mts. in Muridae
Distribution. Known only from the Mingan Mts, E LuzonI, Philippines, at elevations of 1540-1785 m; it may be present also in adjacent S Sierra Madre and the poorly surveyed Dingalan Mts.
Avian community mist net survey data from Luba/Ureca road elevational gradient, Bioko Island, Equatorial Guinea
<p>Understanding interactive effects between anthropogenic disturbance and abiotic factors on species turnover can help identify and prioritize conservation of potentially vulnerable tropical bird communities. We investigated potential factors influencing avian understory community composition along a recently constructed road across three elevations (300, 800 and 1200 m), each with two sampling sites (road edge vs interior forest), over a four-year period on Bioko Island, Equatorial Guinea. Obligate ant following species were the most abundant guild sampled accounting for 23% of total species diversity within the data set, which increased to 40% when including occasional ant following species. Habitat associated with elevation was the most significant factor influencing the composition of avian communities at all three elevations. Additionally, we identified species with clear statistical associations for each elevation: the yellow-lored bristlebill (Bleda notatus), olive sunbird (Cyanomitra obscura), and white-tailed warbler (Poliolias lopezi). We found evidence for significant community differences between the disturbance edge and interior forest transects at 300 m only. Likewise, understory insectivores were found at higher numbers within the interior forest transect at this elevation. Based on the data presented here, we suggest low elevation avian understory insectivores should be considered focal species for future assessment studies in this area. Furthermore, since many traditional protected areas focus on upland habitat containing high species endemism, our findings emphasize the importance of equally conserving lowland elevations as they may house commonly overlooked yet important and diverse segments of the bird community. </p>
Avian community mist net survey data from Luba/Ureca road elevational gradient, Bioko Island, Equatorial Guinea
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Data from: Survey sequencing reveals elevated DNA transposon activity, novel elements, and variation in repetitive landscapes among vesper bats
The repetitive landscapes of mammalian genomes typically display high Class I (retrotransposon) transposable element (TE) content, usually around half of the genome. In contrast, the Class II (DNA transposon) contribution is typically small (<3% in model mammals). Most mammalian genomes also exhibit a precipitous decline in Class II activity beginning roughly 40 million years ago (Ma). The first signs of more recently active mammalian Class II TEs were obtained from the little brown bat, Myotis lucifugus and are reflected by higher genome content (~5%). To aid in determining taxonomic limits and potential impacts of this elevated Class II activity, we performed 454 survey sequencing of a second Myotis species as well as four additional taxa within the family Vespertilionidae and an outgroup species from Phyllostomidae. Graph-based clustering methods were used to reconstruct the major repeat families present in each species and novel elements were identified in several taxa. Retrotransposons remained the dominant group with regard to overall genome mass. Elevated Class II TE composition (3-4%) was observed in all five vesper bats while less than 0.5% of the phyllostomid reads were identified as Class II derived. Differences in satellite DNA and Class I TE content are also described among vespertilionid taxa. These analyses present the first cohesive description of TE evolution across closely related mammals, revealing genome-scale differences in TE content within a single family.
Data from: Survey sequencing reveals elevated DNA transposon activity, novel elements, and variation in repetitive landscapes among vesper bats
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