EcoService Models Library (ESML)
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Variables Details
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Patch-burn grazing-Y3 management
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EM Identity and Description (* Note that run information is shown only where run data differ from the "parent" entry for that variable)
EM-777 | |
Document Author
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Buckles, B. J., and A. N. Harmon-Threatt |
Document Year
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2019 |
Variable General Info (* Note that run information is shown only where run data differ from the "parent" entry for that variable)
Floristic Quality Index (FQI) ?Comment:Using floral richness recorded in plots, we calculated Floristic Quality Index (FQI). FQI is a metric devised by botanists to assess the vegetative quality of a habitat. This metric combines the floral richness of the plot and the coefficient of conservatism (CC), and thus provides a rank‐based assessment of the sensitivity of a plant species to disturbance (on a scale of 1–10). FQI can provide important information on the overall conservation status of the habitat. Using the CC for each plant species as designated in Ladd and Thomas (2015) for Missouri or Taft et al. (1997) for Illinois when absent from the Missouri list, we calculated the FQI for each plot as FQI=mean CC∗√N where N is the native species richness and mean CC is the mean of the coefficient of conservatism. All invasive species were assigned a C of 0 and not included in the native species richness calculation as implemented by Maginel, Knapp, Kabrick, Olson, and Muzika (2016). FQI was designed to evaluate the entire plant community, but we only evaluated the flowering community. |
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Variable ID
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18934 |
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Qualitative-Quantitative
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Cardinal-Ordinal
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Variable Typology (* Note that run information is shown only where run data differ from the "parent" entry for that variable)
Floristic Quality Index (FQI) ?Comment:Using floral richness recorded in plots, we calculated Floristic Quality Index (FQI). FQI is a metric devised by botanists to assess the vegetative quality of a habitat. This metric combines the floral richness of the plot and the coefficient of conservatism (CC), and thus provides a rank‐based assessment of the sensitivity of a plant species to disturbance (on a scale of 1–10). FQI can provide important information on the overall conservation status of the habitat. Using the CC for each plant species as designated in Ladd and Thomas (2015) for Missouri or Taft et al. (1997) for Illinois when absent from the Missouri list, we calculated the FQI for each plot as FQI=mean CC∗√N where N is the native species richness and mean CC is the mean of the coefficient of conservatism. All invasive species were assigned a C of 0 and not included in the native species richness calculation as implemented by Maginel, Knapp, Kabrick, Olson, and Muzika (2016). FQI was designed to evaluate the entire plant community, but we only evaluated the flowering community. |
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Predictor-Intermediate-Response
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Predictor Variable Type
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Response Variable Type
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Data Source/Type
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Variable Classification Hierarchy
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Variable Spatial Characteristics (* Note that run information is shown only where run data differ from the "parent" entry for that variable)
Floristic Quality Index (FQI) ?Comment:Using floral richness recorded in plots, we calculated Floristic Quality Index (FQI). FQI is a metric devised by botanists to assess the vegetative quality of a habitat. This metric combines the floral richness of the plot and the coefficient of conservatism (CC), and thus provides a rank‐based assessment of the sensitivity of a plant species to disturbance (on a scale of 1–10). FQI can provide important information on the overall conservation status of the habitat. Using the CC for each plant species as designated in Ladd and Thomas (2015) for Missouri or Taft et al. (1997) for Illinois when absent from the Missouri list, we calculated the FQI for each plot as FQI=mean CC∗√N where N is the native species richness and mean CC is the mean of the coefficient of conservatism. All invasive species were assigned a C of 0 and not included in the native species richness calculation as implemented by Maginel, Knapp, Kabrick, Olson, and Muzika (2016). FQI was designed to evaluate the entire plant community, but we only evaluated the flowering community. |
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Spatial Extent Area
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Spatially Distributed?
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Observations Spatially Patterned?
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Spatial Grain Type
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Spatial Grain Size
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Spatial Density
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EnviroAtlas URL
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Variable Temporal Characteristics (* Note that run information is shown only where run data differ from the "parent" entry for that variable)
Floristic Quality Index (FQI) ?Comment:Using floral richness recorded in plots, we calculated Floristic Quality Index (FQI). FQI is a metric devised by botanists to assess the vegetative quality of a habitat. This metric combines the floral richness of the plot and the coefficient of conservatism (CC), and thus provides a rank‐based assessment of the sensitivity of a plant species to disturbance (on a scale of 1–10). FQI can provide important information on the overall conservation status of the habitat. Using the CC for each plant species as designated in Ladd and Thomas (2015) for Missouri or Taft et al. (1997) for Illinois when absent from the Missouri list, we calculated the FQI for each plot as FQI=mean CC∗√N where N is the native species richness and mean CC is the mean of the coefficient of conservatism. All invasive species were assigned a C of 0 and not included in the native species richness calculation as implemented by Maginel, Knapp, Kabrick, Olson, and Muzika (2016). FQI was designed to evaluate the entire plant community, but we only evaluated the flowering community. |
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Temporal Extent
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Temporally Distributed?
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Regular Temporal Grain?
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Temporal Grain Size Value
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Temporal Grain Size Units
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Temporal Density
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Variable Values (* Note that run information is shown only where run data differ from the "parent" entry for that variable)
Floristic Quality Index (FQI) ?Comment:Using floral richness recorded in plots, we calculated Floristic Quality Index (FQI). FQI is a metric devised by botanists to assess the vegetative quality of a habitat. This metric combines the floral richness of the plot and the coefficient of conservatism (CC), and thus provides a rank‐based assessment of the sensitivity of a plant species to disturbance (on a scale of 1–10). FQI can provide important information on the overall conservation status of the habitat. Using the CC for each plant species as designated in Ladd and Thomas (2015) for Missouri or Taft et al. (1997) for Illinois when absent from the Missouri list, we calculated the FQI for each plot as FQI=mean CC∗√N where N is the native species richness and mean CC is the mean of the coefficient of conservatism. All invasive species were assigned a C of 0 and not included in the native species richness calculation as implemented by Maginel, Knapp, Kabrick, Olson, and Muzika (2016). FQI was designed to evaluate the entire plant community, but we only evaluated the flowering community. |
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* ?Comment:Values estimated from linear regression figure. 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. Soil PC1 was the most predictive variable for FQI. |
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Min Value
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11 |
Max Value
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18 |
Other Value Type
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Other Value
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Variable Variability and Sensitivity (* Note that run information is shown only where run data differ from the "parent" entry for that variable)
Floristic Quality Index (FQI) ?Comment:Using floral richness recorded in plots, we calculated Floristic Quality Index (FQI). FQI is a metric devised by botanists to assess the vegetative quality of a habitat. This metric combines the floral richness of the plot and the coefficient of conservatism (CC), and thus provides a rank‐based assessment of the sensitivity of a plant species to disturbance (on a scale of 1–10). FQI can provide important information on the overall conservation status of the habitat. Using the CC for each plant species as designated in Ladd and Thomas (2015) for Missouri or Taft et al. (1997) for Illinois when absent from the Missouri list, we calculated the FQI for each plot as FQI=mean CC∗√N where N is the native species richness and mean CC is the mean of the coefficient of conservatism. All invasive species were assigned a C of 0 and not included in the native species richness calculation as implemented by Maginel, Knapp, Kabrick, Olson, and Muzika (2016). FQI was designed to evaluate the entire plant community, but we only evaluated the flowering community. |
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Variability Expression Given?
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Variability Metric
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Variability Value
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Variability Units
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Resampling Used?
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Variability Expression Used in Modeling?
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Variable Operational Validation (Response Variables only; * Note that run information is shown only where run data differ from the "parent" entry for that variable)
Floristic Quality Index (FQI) | |
Variable ID
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18934 |
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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