{PAGE NAME} | {WEB AREA NAME}

EM Identity and Description (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

EM ID variable.detail.emIdHelp ?	EM-788
Document Author variable.detail.emDocumentAuthorHelp ?	Griffin, S. R, B. Bruninga-Socolar, M. A. Kerr, J. Gibbs and R. Winfree
Document Year variable.detail.emDocumentYearHelp ?	2017

Variable General Info (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?	Agriculture 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%.
Variable ID variable.detail.varIdHelp ?	19149
Symbol variable.detail.varSymbolHelp ?	*
Qualitative-Quantitative variable.detail.continuousCategoricalHelp ?	*
Cardinal-Ordinal variable.detail.cardinalOrdinalHelp ?	*
Units variable.detail.varUnitsHelp ?	*

Variable Typology (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?	Agriculture 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%.
Predictor-Intermediate-Response variable.detail.displayVariableTypeHelp ?	*
Predictor Variable Type variable.detail.displayPredictorVariableTypeHelp ?	*
Response Variable Type variable.detail.resClassHelp ?	*
Data Source/Type variable.detail.dataTypeHelp ?	*
Variable Classification Hierarchy variable.detail.vchLevel1Help ?	*

Variable Spatial Characteristics (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?	Agriculture 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%.
Spatial Extent Area variable.detail.spExtentHelp ?	*
Spatially Distributed? variable.detail.spDistributedHelp ?	*
Observations Spatially Patterned? variable.detail.regularSpGrainHelp ?	*
Spatial Grain Type variable.detail.spGrainTypeHelp ?	*
Spatial Grain Size variable.detail.spGrainSizeHelp ?	*
Spatial Density variable.detail.spDensityHelp ?	*
EnviroAtlas URL variable.detail.enviroAtlasURLHelp ?	GAP Ecological Systems

Variable Temporal Characteristics (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?	Agriculture 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%.
Temporal Extent variable.detail.tempExtentHelp ?	*
Temporally Distributed? variable.detail.tempDistributedHelp ?	*
Regular Temporal Grain? variable.detail.regularTempGrainHelp ?	*
Temporal Grain Size Value variable.detail.tempGrainSizeValHelp ?	*
Temporal Grain Size Units variable.detail.tempGrainSizeUnitHelp ?	*
Temporal Density variable.detail.tempDensityHelp ?	*

Variable Values (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?	Agriculture 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%.
Units variable.detail.estUnitHelp ?	*
Min Value variable.detail.minEstHelp ?	93.57
Max Value variable.detail.estHelp ?	100
Other Value Type variable.detail.natureOtherEstHelp ?	*
Other Value variable.detail.otherEstHelp ?	*

Variable Variability and Sensitivity (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?	Agriculture 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%.
Variability Expression Given? variable.detail.variabilityExpHelp ?	*
Variability Metric variable.detail.variabilityMetricHelp ?	*
Variability Value variable.detail.variabilityValueHelp ?	*
Variability Units	*
Resampling Used? variable.detail.bootstrappingHelp ?	*
Variability Expression Used in Modeling? variable.detail.variabilityUsedHelp ?	*

Variable Operational Validation (Response Variables only; * Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?
Variable ID variable.detail.varIdHelp ?
Validated? variable.detail.resValidatedHelp ?
Validation Approach (within, between, etc.) variable.detail.validationApproachHelp ?
Validation Quality (Qual/Quant) variable.detail.validationQualityHelp ?
Validation Method (Stat/Deviance) variable.detail.validationMethodHelp ?
Validation Metric variable.detail.validationMetricHelp ?
Validation Value variable.detail.validationValHelp ?
Validation Units
Use of Measured Response Data variable.detail.measuredResponseDataHelp ?

Name

Variable ID

Validated?

Validation Approach (within, between, etc.)

Validation Quality (Qual/Quant)

Validation Method (Stat/Deviance)

Validation Metric

Validation Value

Validation Units

Use of Measured Response Data

US EPA

EcoService Models Library (ESML)

Variables Details

: (EM-788)

Selected

Agriculture sites

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