Filters: Tags: plant communities (X) > Types: Map Service (X) > Types: OGC WFS Layer (X)
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The Missouri Resource Assessment Partnership (MoRAP) of the University of Missouri, in conjunction with the Oklahoma Biological Survey of the University of Oklahoma, produced a vegetation and landcover GIS data layer for the eastern portions of Oklahoma. This effort was accomplished with direction and funding from the Oklahoma Department of Wildlife Conservation and state and federal partners (particularly the Gulf Coast Prairie and Great Plains Landscape Conservation Cooperatives of the U. S. Fish and Wildlife Service). The legend for the layer is based on NatureServe’s Ecological System Classification, with finer thematic units derived from land cover and abiotic modifiers of the System unit. Data for development...
The Yellowknife Study Area (YSA),Northwest Territories, Canada, was established in 1961 by H. W. Murdy, U.S. Fish and Wildlife Service, for the study of wetland and waterfowl ecology. The study area is located on the western edge of the Precambrian Shield and edge of the taiga and is recognized for its high wetland densities and waterfowl abundance. The region is underlain by discontinuous, warm permafrost and hence vulnerable to a warming climate. The completion of Highway 3 in early 1960s provided the first access to the region for development, research, and monitoring. The YSA is a 38-square km area centered on Highway 3, extending 48 km in length. In the 1960s, it encompassed 262 natural ponds and 313 man-made...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Botany,
Great Slave Lake,
Northwest Territories,
USGS Science Data Catalog (SDC),
Yellowknife Study Area,
Conclusions: Results offer support for the use of land cover as an indicator of biotic integrity estimated by both vegetation and bird communities. Strong, significant predictions of IBI scores in plant and bird communities were achieved using land cover data from every spatial extent. Plant-based IBI scores were best predicted using data from 100 m buffers and bird-based IBI scores were best predicted using data extracted from 500 m buffers. Road density and measures of the proportion of disturbed land were consistent predictors of IBI score, suggesting their universal importance to plant and bird communities. Thresholds/Learnings: Road effects on bird communities were most pronounced at the 500m spatial extent....
Categories: Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alberta,
IBI,
Natural cover amount,
Wetland assessment,
biodiversity,
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