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Variables Details
: (EM-940)
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EM Identity and Description
| EM-940 | |
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Document Author
variable.detail.emDocumentAuthorHelp
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Morrison, K. D. and C. A. Kolden |
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Document Year
variable.detail.emDocumentYearHelp
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2015 |
Variable General Info
Burned (y/n) ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. |
Elevation |
Land cover ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. A land cover dataset for each year from 2005 to 2012 was developed in order to capture the effects of the 2008 fires; the overall classification accuracy ranged from 75 to 90 percent for the eight years of land cover maps produced (Morrison and Kolden, 2014). Land cover was classified into forest, shrub, or grass. These three classes are the dominant vegetation types across the study accounting for 97 percent of all land cover. Land cover changes for each class were quantified by plotting the change in percent cover over time of both burned and unburned areas. |
Precipitation (average annual) | Rainfall runoff erosivity | Soil type | |
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Variable ID
variable.detail.varIdHelp
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23137 | 23127 | 23130 | 23128 | 23129 | 23125 |
| Not reported | Not reported | Not reported | Not reported | R | Not reported | |
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Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
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Qualitative (Class, Rating or Ranking) | Quantitative (Cardinal Only) | Qualitative (Class, Rating or Ranking) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Qualitative (Class, Rating or Ranking) |
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Cardinal-Ordinal
variable.detail.cardinalOrdinalHelp
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Non-Ordinal | Cardinal | Non-Ordinal | Cardinal | Cardinal | Non-Ordinal |
| Not applicable | m | Not applicable | cm | Not reported | Not applicable |
Variable Typology
Burned (y/n) ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. |
Elevation |
Land cover ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. A land cover dataset for each year from 2005 to 2012 was developed in order to capture the effects of the 2008 fires; the overall classification accuracy ranged from 75 to 90 percent for the eight years of land cover maps produced (Morrison and Kolden, 2014). Land cover was classified into forest, shrub, or grass. These three classes are the dominant vegetation types across the study accounting for 97 percent of all land cover. Land cover changes for each class were quantified by plotting the change in percent cover over time of both burned and unburned areas. |
Precipitation (average annual) | Rainfall runoff erosivity | Soil type | |
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Predictor-Intermediate-Response
variable.detail.displayVariableTypeHelp
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Predictor |
Predictor |
Predictor |
Predictor |
Predictor |
Predictor |
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Predictor Variable Type
variable.detail.displayPredictorVariableTypeHelp
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Time- or Space-varying Variable |
Time- or Space-varying Variable |
Time- or Space-varying Variable |
Time- or Space-varying Variable |
Time- or Space-varying Variable |
Time- or Space-varying Variable |
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Response Variable Type
variable.detail.resClassHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Data Source/Type
variable.detail.dataTypeHelp
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Map or database (e.g., wide coverage, wide availability, measured or modeled) | Map or database (e.g., wide coverage, wide availability, measured or modeled) | Local field/Lab data (e.g., particular to the EM study) | Map or database (e.g., wide coverage, wide availability, measured or modeled) | Other or unclear (comment) | Map or database (e.g., wide coverage, wide availability, measured or modeled) |
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Variable Classification Hierarchy
variable.detail.vchLevel1Help
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4. Human-Produced Stressor or Enhancer of Ecosystem Goods and Services Production |
2. Land Surface (or Water Body) Cover, Use, Substrate, or Metric |
2. Land Surface (or Water Body) Cover, Use, Substrate, or Metric |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
2. Land Surface (or Water Body) Cover, Use, Substrate, or Metric |
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--Wildland fire enhanced by human disturbance and its characteristics |
--Geographic position, horizontal or vertical |
--Land use/land cover type or dominant habitat type |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Dominant soil or substrate type |
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----Elevation, altitude, bathymetry |
----Other, multiple, unspecified or unclear |
----Physical/chemical characteristics of air, meteorology and precipitation |
----Physical/chemical characteristics of soils, substrates, rocks |
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------Meteorology data and parameters (including precipitation) |
------Soil, slope or land stability or erosiveness |
Variable Spatial Characteristics
Burned (y/n) ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. |
Elevation |
Land cover ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. A land cover dataset for each year from 2005 to 2012 was developed in order to capture the effects of the 2008 fires; the overall classification accuracy ranged from 75 to 90 percent for the eight years of land cover maps produced (Morrison and Kolden, 2014). Land cover was classified into forest, shrub, or grass. These three classes are the dominant vegetation types across the study accounting for 97 percent of all land cover. Land cover changes for each class were quantified by plotting the change in percent cover over time of both burned and unburned areas. |
Precipitation (average annual) | Rainfall runoff erosivity | Soil type | |
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Spatial Extent Area
variable.detail.spExtentHelp
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100-1000 km^2 | 100-1000 km^2 | 100-1000 km^2 | 100-1000 km^2 | 100-1000 km^2 | 100-1000 km^2 |
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Spatially Distributed?
variable.detail.spDistributedHelp
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Yes | Yes | Yes | Yes | Yes | Yes |
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Observations Spatially Patterned?
variable.detail.regularSpGrainHelp
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Yes | Yes | Yes | Yes | Yes | Yes |
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Spatial Grain Type
variable.detail.spGrainTypeHelp
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other (specify), for irregular (e.g., stream reach, lake basin) | other (specify), for irregular (e.g., stream reach, lake basin) | other (specify), for irregular (e.g., stream reach, lake basin) | other (specify), for irregular (e.g., stream reach, lake basin) | other (specify), for irregular (e.g., stream reach, lake basin) | other (specify), for irregular (e.g., stream reach, lake basin) |
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Spatial Grain Size
variable.detail.spGrainSizeHelp
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irregular | irregular | irregular | irregular | irregular | irregular |
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Spatial Density
variable.detail.spDensityHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
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Average Annual Precipitation |
Variable Temporal Characteristics
Burned (y/n) ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. |
Elevation |
Land cover ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. A land cover dataset for each year from 2005 to 2012 was developed in order to capture the effects of the 2008 fires; the overall classification accuracy ranged from 75 to 90 percent for the eight years of land cover maps produced (Morrison and Kolden, 2014). Land cover was classified into forest, shrub, or grass. These three classes are the dominant vegetation types across the study accounting for 97 percent of all land cover. Land cover changes for each class were quantified by plotting the change in percent cover over time of both burned and unburned areas. |
Precipitation (average annual) | Rainfall runoff erosivity | Soil type | |
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Temporal Extent
variable.detail.tempExtentHelp
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2005-2008 | 2005-2008 | 2005-2008 | 2005-2008 | 2005-2008 | 2005-2008 |
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Temporally Distributed?
variable.detail.tempDistributedHelp
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Not applicable | Not applicable | Yes | No | Not applicable | Not applicable |
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Regular Temporal Grain?
variable.detail.regularTempGrainHelp
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Not applicable | Not applicable | Yes | Not applicable | Not applicable | Not applicable |
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Temporal Grain Size Value
variable.detail.tempGrainSizeValHelp
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Not applicable | Not applicable | 1 | Not applicable | Not applicable | Not applicable |
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Temporal Grain Size Units
variable.detail.tempGrainSizeUnitHelp
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Not applicable | Not applicable | year | Not applicable | Not applicable | Not applicable |
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Temporal Density
variable.detail.tempDensityHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Variable Values
Burned (y/n) ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. |
Elevation |
Land cover ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. A land cover dataset for each year from 2005 to 2012 was developed in order to capture the effects of the 2008 fires; the overall classification accuracy ranged from 75 to 90 percent for the eight years of land cover maps produced (Morrison and Kolden, 2014). Land cover was classified into forest, shrub, or grass. These three classes are the dominant vegetation types across the study accounting for 97 percent of all land cover. Land cover changes for each class were quantified by plotting the change in percent cover over time of both burned and unburned areas. |
Precipitation (average annual) | Rainfall runoff erosivity | Soil type | |
| Not applicable | m | Not applicable | cm | Not reported | Not applicable | |
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Min Value
variable.detail.minEstHelp
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Not applicable | 0 | Not applicable | 65 | Not reported | Not applicable |
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Max Value
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Not applicable | 1800 | Not applicable | 130 | Not reported | Not applicable |
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Other Value Type
variable.detail.natureOtherEstHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Other Value
variable.detail.otherEstHelp
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Not applicable | Not reported | Not applicable | Not reported | Not reported | Not applicable |
Variable Variability and Sensitivity
Burned (y/n) ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. |
Elevation |
Land cover ?Comment:To characterize the effects of the 2008 wildfires on land cover, classifications of land cover and burn severity derived from remotely sensed data were explored. A land cover dataset for each year from 2005 to 2012 was developed in order to capture the effects of the 2008 fires; the overall classification accuracy ranged from 75 to 90 percent for the eight years of land cover maps produced (Morrison and Kolden, 2014). Land cover was classified into forest, shrub, or grass. These three classes are the dominant vegetation types across the study accounting for 97 percent of all land cover. Land cover changes for each class were quantified by plotting the change in percent cover over time of both burned and unburned areas. |
Precipitation (average annual) | Rainfall runoff erosivity | Soil type | |
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Variability Expression Given?
variable.detail.variabilityExpHelp
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Not applicable | Not applicable | Not applicable | No | No | Not applicable |
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Variability Metric
variable.detail.variabilityMetricHelp
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None | None | None | None | None | None |
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Variability Value
variable.detail.variabilityValueHelp
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None | None | None | None | None | None |
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Variability Units
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None | None | None | None | None | None |
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Resampling Used?
variable.detail.bootstrappingHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Variability Expression Used in Modeling?
variable.detail.variabilityUsedHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Variable Operational Validation (Response Variables only)
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Variable ID
variable.detail.varIdHelp
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Validated?
variable.detail.resValidatedHelp
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Validation Approach (within, between, etc.)
variable.detail.validationApproachHelp
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Validation Quality (Qual/Quant)
variable.detail.validationQualityHelp
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Validation Method (Stat/Deviance)
variable.detail.validationMethodHelp
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Validation Metric
variable.detail.validationMetricHelp
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Validation Value
variable.detail.validationValHelp
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Validation Units
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Use of Measured Response Data
variable.detail.measuredResponseDataHelp
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