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: (EM-788)
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EM-788: Wild bee community change over a 26-year chronosequence of restored tallgrass prairie
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EM Identity and Description
| EM-788 | |
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Document Author
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Griffin, S. R, B. Bruninga-Socolar, M. A. Kerr, J. Gibbs and R. Winfree |
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Document Year
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2017 |
Variable General Info
Woodland within 500 m ?Comment:We used QGIS (QGIS Development Team 2014) to determine land cover within a 500m radius from the data collection transect at each site. This spatial scale minimized overlap among sites because most sites were at least 1 km apart, and a 500m radius encompasses the typical foraging ranges of solitary bees (Gathmann & Tscharntke 2002; Zurbuchen et al. 2010). Within this radius, we determined percentage of the surrounding landscape devoted to the two dominant non-prairie landcover types: agriculture, which represented between 0 and 100% of the land within a 500m radius of our sites, and woodlands, which represented between 0 and 50%. |
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Variable ID
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19148 |
| Not reported | |
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Qualitative-Quantitative
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Quantitative (Cardinal Only) |
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Cardinal-Ordinal
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Cardinal |
| % |
Variable Typology
Woodland within 500 m ?Comment:We used QGIS (QGIS Development Team 2014) to determine land cover within a 500m radius from the data collection transect at each site. This spatial scale minimized overlap among sites because most sites were at least 1 km apart, and a 500m radius encompasses the typical foraging ranges of solitary bees (Gathmann & Tscharntke 2002; Zurbuchen et al. 2010). Within this radius, we determined percentage of the surrounding landscape devoted to the two dominant non-prairie landcover types: agriculture, which represented between 0 and 100% of the land within a 500m radius of our sites, and woodlands, which represented between 0 and 50%. |
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Predictor-Intermediate-Response
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Predictor |
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Predictor Variable Type
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Time- or Space-varying Variable |
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Response Variable Type
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Not applicable |
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Data Source/Type
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Local field/Lab data (e.g., particular to the EM study) |
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Variable Classification Hierarchy
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2. Land Surface (or Water Body) Cover, Use, Substrate, or Metric |
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--Land use/land cover type or dominant habitat type |
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----Forests |
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Variable Spatial Characteristics
Woodland within 500 m ?Comment:We used QGIS (QGIS Development Team 2014) to determine land cover within a 500m radius from the data collection transect at each site. This spatial scale minimized overlap among sites because most sites were at least 1 km apart, and a 500m radius encompasses the typical foraging ranges of solitary bees (Gathmann & Tscharntke 2002; Zurbuchen et al. 2010). Within this radius, we determined percentage of the surrounding landscape devoted to the two dominant non-prairie landcover types: agriculture, which represented between 0 and 100% of the land within a 500m radius of our sites, and woodlands, which represented between 0 and 50%. |
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Spatial Extent Area
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10-100 km^2 |
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Spatially Distributed?
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Yes |
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Observations Spatially Patterned?
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Yes |
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Spatial Grain Type
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other (specify), for irregular (e.g., stream reach, lake basin) |
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Spatial Grain Size
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Area varies by site |
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Spatial Density
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Not applicable |
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EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
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GAP Ecological Systems |
Variable Temporal Characteristics
Woodland within 500 m ?Comment:We used QGIS (QGIS Development Team 2014) to determine land cover within a 500m radius from the data collection transect at each site. This spatial scale minimized overlap among sites because most sites were at least 1 km apart, and a 500m radius encompasses the typical foraging ranges of solitary bees (Gathmann & Tscharntke 2002; Zurbuchen et al. 2010). Within this radius, we determined percentage of the surrounding landscape devoted to the two dominant non-prairie landcover types: agriculture, which represented between 0 and 100% of the land within a 500m radius of our sites, and woodlands, which represented between 0 and 50%. |
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Temporal Extent
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2014 |
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Temporally Distributed?
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Not applicable |
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Regular Temporal Grain?
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Not applicable |
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Temporal Grain Size Value
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Not applicable |
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Temporal Grain Size Units
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Not applicable |
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Temporal Density
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Not applicable |
Variable Values
Woodland within 500 m ?Comment:We used QGIS (QGIS Development Team 2014) to determine land cover within a 500m radius from the data collection transect at each site. This spatial scale minimized overlap among sites because most sites were at least 1 km apart, and a 500m radius encompasses the typical foraging ranges of solitary bees (Gathmann & Tscharntke 2002; Zurbuchen et al. 2010). Within this radius, we determined percentage of the surrounding landscape devoted to the two dominant non-prairie landcover types: agriculture, which represented between 0 and 100% of the land within a 500m radius of our sites, and woodlands, which represented between 0 and 50%. |
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| % | |
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Min Value
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Varies by run; view runs to see values |
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Max Value
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Varies by run; view runs to see values |
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Other Value Type
variable.detail.natureOtherEstHelp
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Not applicable |
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Other Value
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Not reported |
Variable Variability and Sensitivity
Woodland within 500 m ?Comment:We used QGIS (QGIS Development Team 2014) to determine land cover within a 500m radius from the data collection transect at each site. This spatial scale minimized overlap among sites because most sites were at least 1 km apart, and a 500m radius encompasses the typical foraging ranges of solitary bees (Gathmann & Tscharntke 2002; Zurbuchen et al. 2010). Within this radius, we determined percentage of the surrounding landscape devoted to the two dominant non-prairie landcover types: agriculture, which represented between 0 and 100% of the land within a 500m radius of our sites, and woodlands, which represented between 0 and 50%. |
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Variability Expression Given?
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No |
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Variability Metric
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None |
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Variability Value
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None |
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Variability Units
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None |
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Resampling Used?
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Not applicable |
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Variability Expression Used in Modeling?
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Not applicable |
Variable Operational Validation (Response Variables only)
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Variable ID
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Validated?
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Validation Approach (within, between, etc.)
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Validation Quality (Qual/Quant)
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Validation Method (Stat/Deviance)
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Validation Metric
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Validation Value
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Validation Units
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Use of Measured Response Data
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