Filters: Tags: Riparian environments (X)
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These data were collected as part of a methodologial comparison for collecting riparian vegetation data. Two common methods for collecting vegetation data were used: line-point intercept and 1m2 ocular quadrats (visual cover estimates). At each site and transect, both methods were used to collect cover and composition data by four different observers. The same transects and quadrats were utilized for both methods and all observers. Field data collected included percent cover for total living foliar cover, each plant species encountered, litter, dead plant material that is still standing, and ground cover features (biological soil crust, rock, sand, and fine soil particles). Line-point intercept data were collected...
These data contain counts of fish species collected with a 1.83 m x 9.14 m bag seine constructed of 1.6 mm Delta nylon mesh. When permitted, five consecutive 15.25 m hauls were made parallel to the shoreline. Sites with smaller shorelines were sampled to the greatest extent possible and distance recorded. The seine was pulled in the upstream direction to allow the net to stay open during sampling. Following each haul, fish were sorted by species and counted. Macrophyte community characteristics (percent cover and species) were assessed by visually approximating the proportion of sites occupied by each species. A rake was used to collect vegetation for lab verification of species identification. Other habitat features...
We studied the associations of crayfish with reach-scale instream habitat and water quality variables and watershed-scale variables of riparian and watershed land cover, runoff, impervious surfaces, and hydrologic soil type in west-central Indiana. Crayfish assemblage was measured by abundance, species richness, and diversity (Shannon's H) at 180 sites. The western portion of the study area, within the Interior River Lowland ecoregion, has been heavily impacted by agriculture, while the eastern portion, within the Interior Plateau ecoregion, is more heavily wooded and less impacted. The ability of variables at each spatial extent to predict crayfish assemblage was assessed using multiple linear regression analysis....
Categories: Publication;
Types: Citation;
Tags: ASFA 1: Biological Sciences & Living Resources,
Abundance,
Agricultural development,
Agriculture,
Biology--Entomology,
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