EcoService Models Library (ESML)
loading
Variables Details
: (EM-777)
Back
Selected
EM-777: Bee diversity in tallgrass prairies affected by management and its effects on above‐ and below‐ground resources
- Collapse All Expand All
- Export Data to Spreadsheet (Free Viewers)
- View Variable Relationship Diagram (PDF)(1 pp, 80 KB, About PDF)
EM-777 | |
Document Author
variable.detail.emDocumentAuthorHelp
?
|
Buckles, B. J., and A. N. Harmon-Threatt |
Document Year
variable.detail.emDocumentYearHelp
?
|
2019 |
Bee abundance ?Comment:Using multiple sampling methods should provide a more complete picture of the bee community during the sampling time (Geroff, Gibbs, & McCravy, 2014). All bees were later identified to species. These data resulted in three response variables that are tested here: bee community composition, bee richness and bee abundance. |
Bee richness ?Comment:Using multiple sampling methods should provide a more complete picture of the bee community during the sampling time (Geroff, Gibbs, & McCravy, 2014). All bees were later identified to species. These data resulted in three response variables that are tested here: bee community composition, bee richness and bee abundance. |
Bees nesting ?Comment:Beginning at 1900 the evening before bee and floral sampling, fifteen 0.36 m2 ground emergence tents (BugDorm BT2006, Taichung, Taiwan) were installed to capture nesting bees at each plot (Sardinas & Kremen, 2014; Sardinas et al., 2016). Tents were installed after dusk when female bees return to the nest after foraging. They were secured with stakes and soil on flaps to prevent overturning and limit insect escape, and kill jars were filled with soapy water. The proportion of tents capturing bees at a plot is herein referred to as “nesting rate”. |
Floral abundance ?Comment:Floral richness and abundance were estimated along five parallel 100‐m‐long transects within each 1‐ha plot separated by 10–15 m (Figure 1c). All blooming flowers encountered within 1 m of either side of the transect were identified to species and counted. Dense heads and inflorescences were counted as a single flower. Flowering plant species that were in bloom in the 1 ha sampling plots, but not encountered within a transect were recorded as present and assigned an abundance of 0.5. Adding a small abundance for these observed species allows more accurate richness counts and prevents species detected outside of transects to have minimal influence on total plot abundance so as not to skew abundance figures between plots. |
Floral richness ?Comment:Floral richness and abundance were estimated along five parallel 100‐m‐long transects within each 1‐ha plot separated by 10–15 m (Figure 1c). All blooming flowers encountered within 1 m of either side of the transect were identified to species and counted. |
|
Variable ID
variable.detail.varIdHelp
?
|
18932 | 18931 | 18933 | 18922 | 18921 |
Not reported | Not reported | Not reported | Not reported | Not reported | |
Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
?
|
Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) |
Cardinal-Ordinal
variable.detail.cardinalOrdinalHelp
?
|
Cardinal | Cardinal | Cardinal | Cardinal | Cardinal |
No. | No. | No. | No. | No. |
Bee abundance ?Comment:Using multiple sampling methods should provide a more complete picture of the bee community during the sampling time (Geroff, Gibbs, & McCravy, 2014). All bees were later identified to species. These data resulted in three response variables that are tested here: bee community composition, bee richness and bee abundance. |
Bee richness ?Comment:Using multiple sampling methods should provide a more complete picture of the bee community during the sampling time (Geroff, Gibbs, & McCravy, 2014). All bees were later identified to species. These data resulted in three response variables that are tested here: bee community composition, bee richness and bee abundance. |
Bees nesting ?Comment:Beginning at 1900 the evening before bee and floral sampling, fifteen 0.36 m2 ground emergence tents (BugDorm BT2006, Taichung, Taiwan) were installed to capture nesting bees at each plot (Sardinas & Kremen, 2014; Sardinas et al., 2016). Tents were installed after dusk when female bees return to the nest after foraging. They were secured with stakes and soil on flaps to prevent overturning and limit insect escape, and kill jars were filled with soapy water. The proportion of tents capturing bees at a plot is herein referred to as “nesting rate”. |
Floral abundance ?Comment:Floral richness and abundance were estimated along five parallel 100‐m‐long transects within each 1‐ha plot separated by 10–15 m (Figure 1c). All blooming flowers encountered within 1 m of either side of the transect were identified to species and counted. Dense heads and inflorescences were counted as a single flower. Flowering plant species that were in bloom in the 1 ha sampling plots, but not encountered within a transect were recorded as present and assigned an abundance of 0.5. Adding a small abundance for these observed species allows more accurate richness counts and prevents species detected outside of transects to have minimal influence on total plot abundance so as not to skew abundance figures between plots. |
Floral richness ?Comment:Floral richness and abundance were estimated along five parallel 100‐m‐long transects within each 1‐ha plot separated by 10–15 m (Figure 1c). All blooming flowers encountered within 1 m of either side of the transect were identified to species and counted. |
|
Predictor-Intermediate-Response
variable.detail.displayVariableTypeHelp
?
|
Response |
Response |
Response |
Response |
Response |
Predictor Variable Type
variable.detail.displayPredictorVariableTypeHelp
?
|
Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Response Variable Type
variable.detail.resClassHelp
?
|
Observed Variable |
Observed Variable |
Observed Variable |
Observed Variable |
Observed Variable |
Data Source/Type
variable.detail.dataTypeHelp
?
|
Local field/Lab data (e.g., particular to the EM study) | Local field/Lab data (e.g., particular to the EM study) | Local field/Lab data (e.g., particular to the EM study) | Local field/Lab data (e.g., particular to the EM study) | Local field/Lab data (e.g., particular to the EM study) |
Variable Classification Hierarchy
variable.detail.vchLevel1Help
?
|
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
--Biological characteristics, processes or requirements of living ecosystem components |
--Biological characteristics, processes or requirements of living ecosystem components |
--Biological characteristics, processes or requirements of living ecosystem components |
--Biological characteristics, processes or requirements of living ecosystem components |
--Biological characteristics, processes or requirements of living ecosystem components |
|
----Biological characteristics, processes or requirements of fauna |
----Biological characteristics, processes or requirements of fauna |
----Biological characteristics, processes or requirements of fauna |
----Biological characteristics, processes or requirements of flora and fungi |
----Biological characteristics, processes or requirements of flora and fungi |
|
------Pollinators (nonspecific) |
------Pollinators (nonspecific) |
------Pollinators (nonspecific) |
------Cover characteristics (canopy cover, herbaceous cover or leaf area) |
------Species richness and biodiversity indices |
Bee abundance ?Comment:Using multiple sampling methods should provide a more complete picture of the bee community during the sampling time (Geroff, Gibbs, & McCravy, 2014). All bees were later identified to species. These data resulted in three response variables that are tested here: bee community composition, bee richness and bee abundance. |
Bee richness ?Comment:Using multiple sampling methods should provide a more complete picture of the bee community during the sampling time (Geroff, Gibbs, & McCravy, 2014). All bees were later identified to species. These data resulted in three response variables that are tested here: bee community composition, bee richness and bee abundance. |
Bees nesting ?Comment:Beginning at 1900 the evening before bee and floral sampling, fifteen 0.36 m2 ground emergence tents (BugDorm BT2006, Taichung, Taiwan) were installed to capture nesting bees at each plot (Sardinas & Kremen, 2014; Sardinas et al., 2016). Tents were installed after dusk when female bees return to the nest after foraging. They were secured with stakes and soil on flaps to prevent overturning and limit insect escape, and kill jars were filled with soapy water. The proportion of tents capturing bees at a plot is herein referred to as “nesting rate”. |
Floral abundance ?Comment:Floral richness and abundance were estimated along five parallel 100‐m‐long transects within each 1‐ha plot separated by 10–15 m (Figure 1c). All blooming flowers encountered within 1 m of either side of the transect were identified to species and counted. Dense heads and inflorescences were counted as a single flower. Flowering plant species that were in bloom in the 1 ha sampling plots, but not encountered within a transect were recorded as present and assigned an abundance of 0.5. Adding a small abundance for these observed species allows more accurate richness counts and prevents species detected outside of transects to have minimal influence on total plot abundance so as not to skew abundance figures between plots. |
Floral richness ?Comment:Floral richness and abundance were estimated along five parallel 100‐m‐long transects within each 1‐ha plot separated by 10–15 m (Figure 1c). All blooming flowers encountered within 1 m of either side of the transect were identified to species and counted. |
|
Spatial Extent Area
variable.detail.spExtentHelp
?
|
1000-10,000 km^2. | 1000-10,000 km^2. | 1000-10,000 km^2. | 1000-10,000 km^2. | 1000-10,000 km^2. |
Spatially Distributed?
variable.detail.spDistributedHelp
?
|
Yes | Yes | Yes | Yes | Yes |
Observations Spatially Patterned?
variable.detail.regularSpGrainHelp
?
|
Yes | Yes | Yes | Yes | Yes |
Spatial Grain Type
variable.detail.spGrainTypeHelp
?
|
area, for pixel or radial feature | area, for pixel or radial feature | area, for pixel or radial feature | area, for pixel or radial feature | area, for pixel or radial feature |
Spatial Grain Size
variable.detail.spGrainSizeHelp
?
|
1 ha | 1 ha | 1 ha | 1 ha | 1 ha |
Spatial Density
variable.detail.spDensityHelp
?
|
Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
?
|
Bee abundance ?Comment:Using multiple sampling methods should provide a more complete picture of the bee community during the sampling time (Geroff, Gibbs, & McCravy, 2014). All bees were later identified to species. These data resulted in three response variables that are tested here: bee community composition, bee richness and bee abundance. |
Bee richness ?Comment:Using multiple sampling methods should provide a more complete picture of the bee community during the sampling time (Geroff, Gibbs, & McCravy, 2014). All bees were later identified to species. These data resulted in three response variables that are tested here: bee community composition, bee richness and bee abundance. |
Bees nesting ?Comment:Beginning at 1900 the evening before bee and floral sampling, fifteen 0.36 m2 ground emergence tents (BugDorm BT2006, Taichung, Taiwan) were installed to capture nesting bees at each plot (Sardinas & Kremen, 2014; Sardinas et al., 2016). Tents were installed after dusk when female bees return to the nest after foraging. They were secured with stakes and soil on flaps to prevent overturning and limit insect escape, and kill jars were filled with soapy water. The proportion of tents capturing bees at a plot is herein referred to as “nesting rate”. |
Floral abundance ?Comment:Floral richness and abundance were estimated along five parallel 100‐m‐long transects within each 1‐ha plot separated by 10–15 m (Figure 1c). All blooming flowers encountered within 1 m of either side of the transect were identified to species and counted. Dense heads and inflorescences were counted as a single flower. Flowering plant species that were in bloom in the 1 ha sampling plots, but not encountered within a transect were recorded as present and assigned an abundance of 0.5. Adding a small abundance for these observed species allows more accurate richness counts and prevents species detected outside of transects to have minimal influence on total plot abundance so as not to skew abundance figures between plots. |
Floral richness ?Comment:Floral richness and abundance were estimated along five parallel 100‐m‐long transects within each 1‐ha plot separated by 10–15 m (Figure 1c). All blooming flowers encountered within 1 m of either side of the transect were identified to species and counted. |
|
Temporal Extent
variable.detail.tempExtentHelp
?
|
2012-2016 | 2012-2016 | 2012-2016 | 2012-2016 | 2012-2016 |
Temporally Distributed?
variable.detail.tempDistributedHelp
?
|
Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Regular Temporal Grain?
variable.detail.regularTempGrainHelp
?
|
Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Temporal Grain Size Value
variable.detail.tempGrainSizeValHelp
?
|
Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Temporal Grain Size Units
variable.detail.tempGrainSizeUnitHelp
?
|
Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Temporal Density
variable.detail.tempDensityHelp
?
|
Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Bee abundance ?Comment:Using multiple sampling methods should provide a more complete picture of the bee community during the sampling time (Geroff, Gibbs, & McCravy, 2014). All bees were later identified to species. These data resulted in three response variables that are tested here: bee community composition, bee richness and bee abundance. |
Bee richness ?Comment:Using multiple sampling methods should provide a more complete picture of the bee community during the sampling time (Geroff, Gibbs, & McCravy, 2014). All bees were later identified to species. These data resulted in three response variables that are tested here: bee community composition, bee richness and bee abundance. |
Bees nesting ?Comment:Beginning at 1900 the evening before bee and floral sampling, fifteen 0.36 m2 ground emergence tents (BugDorm BT2006, Taichung, Taiwan) were installed to capture nesting bees at each plot (Sardinas & Kremen, 2014; Sardinas et al., 2016). Tents were installed after dusk when female bees return to the nest after foraging. They were secured with stakes and soil on flaps to prevent overturning and limit insect escape, and kill jars were filled with soapy water. The proportion of tents capturing bees at a plot is herein referred to as “nesting rate”. |
Floral abundance ?Comment:Floral richness and abundance were estimated along five parallel 100‐m‐long transects within each 1‐ha plot separated by 10–15 m (Figure 1c). All blooming flowers encountered within 1 m of either side of the transect were identified to species and counted. Dense heads and inflorescences were counted as a single flower. Flowering plant species that were in bloom in the 1 ha sampling plots, but not encountered within a transect were recorded as present and assigned an abundance of 0.5. Adding a small abundance for these observed species allows more accurate richness counts and prevents species detected outside of transects to have minimal influence on total plot abundance so as not to skew abundance figures between plots. |
Floral richness ?Comment:Floral richness and abundance were estimated along five parallel 100‐m‐long transects within each 1‐ha plot separated by 10–15 m (Figure 1c). All blooming flowers encountered within 1 m of either side of the transect were identified to species and counted. |
|
Not reported ?Comment:Bee resources (i.e. Soil PC1, floral richness, FQI and floral abundance) as well as bee abundance and richness were analysed with generalised least squares (GLS) models. Management and Soil PC1 were the most predictive variables for Bee abundance. |
Not reported ?Comment:Bee resources (i.e. Soil PC1, floral richness, FQI and floral abundance) as well as bee abundance and richness were analysed with generalised least squares (GLS) models. Log(floral abundance) and Floral richness were the most predictive variables for Bee richness. |
Not reported ?Comment:Logistic regression of management and resource availability on bee nesting within plots showed nesting was significantly predicted by soil PC1 and floral abundance. |
Not reported ?Comment:Floral abundance was logged for analysis. |
Not reported ?Comment:Bee resources (i.e. Soil PC1, floral richness, FQI and floral abundance) as well as bee abundance and richness were analysed with generalised least squares (GLS). Soil PC1, Log (floral abundance) and Management were the most predictive variables for Floral richness. |
|
Min Value
variable.detail.minEstHelp
?
|
Not reported | Not reported | Not reported | Not reported | Not reported |
Max Value
variable.detail.estHelp
?
|
Not reported | Not reported | Not reported | Not reported | Not reported |
Other Value Type
variable.detail.natureOtherEstHelp
?
|
Mean | Mean | Mean | Not applicable | Mean |
Other Value
variable.detail.otherEstHelp
?
|
Varies by run; view runs to see value | Varies by run; view runs to see values | Varies by run; view runs to see value | Not reported | Varies by run; view runs to see value |
Bee abundance ?Comment:Using multiple sampling methods should provide a more complete picture of the bee community during the sampling time (Geroff, Gibbs, & McCravy, 2014). All bees were later identified to species. These data resulted in three response variables that are tested here: bee community composition, bee richness and bee abundance. |
Bee richness ?Comment:Using multiple sampling methods should provide a more complete picture of the bee community during the sampling time (Geroff, Gibbs, & McCravy, 2014). All bees were later identified to species. These data resulted in three response variables that are tested here: bee community composition, bee richness and bee abundance. |
Bees nesting ?Comment:Beginning at 1900 the evening before bee and floral sampling, fifteen 0.36 m2 ground emergence tents (BugDorm BT2006, Taichung, Taiwan) were installed to capture nesting bees at each plot (Sardinas & Kremen, 2014; Sardinas et al., 2016). Tents were installed after dusk when female bees return to the nest after foraging. They were secured with stakes and soil on flaps to prevent overturning and limit insect escape, and kill jars were filled with soapy water. The proportion of tents capturing bees at a plot is herein referred to as “nesting rate”. |
Floral abundance ?Comment:Floral richness and abundance were estimated along five parallel 100‐m‐long transects within each 1‐ha plot separated by 10–15 m (Figure 1c). All blooming flowers encountered within 1 m of either side of the transect were identified to species and counted. Dense heads and inflorescences were counted as a single flower. Flowering plant species that were in bloom in the 1 ha sampling plots, but not encountered within a transect were recorded as present and assigned an abundance of 0.5. Adding a small abundance for these observed species allows more accurate richness counts and prevents species detected outside of transects to have minimal influence on total plot abundance so as not to skew abundance figures between plots. |
Floral richness ?Comment:Floral richness and abundance were estimated along five parallel 100‐m‐long transects within each 1‐ha plot separated by 10–15 m (Figure 1c). All blooming flowers encountered within 1 m of either side of the transect were identified to species and counted. |
||||
Variability Expression Given?
variable.detail.variabilityExpHelp
?
|
Yes | Yes | No | No | Yes | |||
Variability Metric
variable.detail.variabilityMetricHelp
?
|
|
|
None | None |
|
|||
Variability Value
variable.detail.variabilityValueHelp
?
|
|
|
None | None |
|
|||
Variability Units
|
|
|
None | None |
|
|||
Resampling Used?
variable.detail.bootstrappingHelp
?
|
Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | |||
Variability Expression Used in Modeling?
variable.detail.variabilityUsedHelp
?
|
Yes | Yes | Not applicable | Not applicable | Yes |
Bee abundance | Bee richness | Bees nesting | Floral abundance | Floral richness | ||||||
Variable ID
variable.detail.varIdHelp
?
|
18932 | 18931 | 18933 | 18922 | 18921 | |||||
Validated?
variable.detail.resValidatedHelp
?
|
Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | |||||
Validation Approach (within, between, etc.)
variable.detail.validationApproachHelp
?
|
None | None | None | None | None | |||||
Validation Quality (Qual/Quant)
variable.detail.validationQualityHelp
?
|
None | None | None | None | None | |||||
Validation Method (Stat/Deviance)
variable.detail.validationMethodHelp
?
|
None | None | None | None | None | |||||
Validation Metric
variable.detail.validationMetricHelp
?
|
None | None | None | None | None | |||||
Validation Value
variable.detail.validationValHelp
?
|
None | None | None | None | None | |||||
Validation Units
|
None | None | None | None | None | |||||
Use of Measured Response Data
variable.detail.measuredResponseDataHelp
?
|
|
|
|
|
|