EcoService Models Library (ESML)
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Variables Details
: (EM-774)
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EM-774: Diversity and distribution of floral resources influence the restoration of plant-pollinator networks on a reclaimed strip mine
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EM Identity and Description
EM-774 | |
Document Author
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Cusser, S. and K. Goodell |
Document Year
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2013 |
Variable General Info
Robustness of networks ?Comment:To determine how network architecture affects network stability, we calculated the robustness of each network. Rather than describing network architecture itself, robustness quantifies a network’s ability to retain its structure following the removal, or extinction, of species (Dunne et al. 2002). We simulated extinction by removing plant species and observing which pollinators were left without forage resources. Pollinator species were considered to go “extinct” when all of their plant hosts had been removed from the network. We used the technique developed by Borgo et al. (2007) to quantify the robustness with a single parameter r, which ranges from 0 to 1. A network in which r approaches 0 is considered fragile, such that even if a very few plants are eliminated, most pollinators would go extinct. Likewise networks with r approaching 1 are considered robust. In a robust network, most pollinators survive even if a large fraction of the plant species is eliminated. Values were used for linear regression on distance from remnant forest. |
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Variable ID
variable.detail.varIdHelp
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18877 |
Not reported | |
Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
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Quantitative (Cardinal Only) |
Cardinal-Ordinal
variable.detail.cardinalOrdinalHelp
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Cardinal |
unitless (0-1) |
Variable Typology
Robustness of networks ?Comment:To determine how network architecture affects network stability, we calculated the robustness of each network. Rather than describing network architecture itself, robustness quantifies a network’s ability to retain its structure following the removal, or extinction, of species (Dunne et al. 2002). We simulated extinction by removing plant species and observing which pollinators were left without forage resources. Pollinator species were considered to go “extinct” when all of their plant hosts had been removed from the network. We used the technique developed by Borgo et al. (2007) to quantify the robustness with a single parameter r, which ranges from 0 to 1. A network in which r approaches 0 is considered fragile, such that even if a very few plants are eliminated, most pollinators would go extinct. Likewise networks with r approaching 1 are considered robust. In a robust network, most pollinators survive even if a large fraction of the plant species is eliminated. Values were used for linear regression on distance from remnant forest. |
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Predictor-Intermediate-Response
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Response |
Predictor Variable Type
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Not applicable |
Response Variable Type
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Computed Variable |
Data Source/Type
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Not applicable |
Variable Classification Hierarchy
variable.detail.vchLevel1Help
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5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS |
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----Suitability to supply regulation & maintenance services-Maintenance of conditions |
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------Pollination and seed dispersal |
Variable Spatial Characteristics
Robustness of networks ?Comment:To determine how network architecture affects network stability, we calculated the robustness of each network. Rather than describing network architecture itself, robustness quantifies a network’s ability to retain its structure following the removal, or extinction, of species (Dunne et al. 2002). We simulated extinction by removing plant species and observing which pollinators were left without forage resources. Pollinator species were considered to go “extinct” when all of their plant hosts had been removed from the network. We used the technique developed by Borgo et al. (2007) to quantify the robustness with a single parameter r, which ranges from 0 to 1. A network in which r approaches 0 is considered fragile, such that even if a very few plants are eliminated, most pollinators would go extinct. Likewise networks with r approaching 1 are considered robust. In a robust network, most pollinators survive even if a large fraction of the plant species is eliminated. Values were used for linear regression on distance from remnant forest. |
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Spatial Extent Area
variable.detail.spExtentHelp
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1-10 km^2 |
Spatially Distributed?
variable.detail.spDistributedHelp
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Yes |
Observations Spatially Patterned?
variable.detail.regularSpGrainHelp
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Yes |
Spatial Grain Type
variable.detail.spGrainTypeHelp
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area, for pixel or radial feature |
Spatial Grain Size
variable.detail.spGrainSizeHelp
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10 m radius |
Spatial Density
variable.detail.spDensityHelp
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Not applicable |
EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
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Variable Temporal Characteristics
Robustness of networks ?Comment:To determine how network architecture affects network stability, we calculated the robustness of each network. Rather than describing network architecture itself, robustness quantifies a network’s ability to retain its structure following the removal, or extinction, of species (Dunne et al. 2002). We simulated extinction by removing plant species and observing which pollinators were left without forage resources. Pollinator species were considered to go “extinct” when all of their plant hosts had been removed from the network. We used the technique developed by Borgo et al. (2007) to quantify the robustness with a single parameter r, which ranges from 0 to 1. A network in which r approaches 0 is considered fragile, such that even if a very few plants are eliminated, most pollinators would go extinct. Likewise networks with r approaching 1 are considered robust. In a robust network, most pollinators survive even if a large fraction of the plant species is eliminated. Values were used for linear regression on distance from remnant forest. |
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Temporal Extent
variable.detail.tempExtentHelp
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2010 |
Temporally Distributed?
variable.detail.tempDistributedHelp
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Not applicable |
Regular Temporal Grain?
variable.detail.regularTempGrainHelp
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Not applicable |
Temporal Grain Size Value
variable.detail.tempGrainSizeValHelp
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Not applicable |
Temporal Grain Size Units
variable.detail.tempGrainSizeUnitHelp
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Not applicable |
Temporal Density
variable.detail.tempDensityHelp
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Not applicable |
Variable Values
Robustness of networks ?Comment:To determine how network architecture affects network stability, we calculated the robustness of each network. Rather than describing network architecture itself, robustness quantifies a network’s ability to retain its structure following the removal, or extinction, of species (Dunne et al. 2002). We simulated extinction by removing plant species and observing which pollinators were left without forage resources. Pollinator species were considered to go “extinct” when all of their plant hosts had been removed from the network. We used the technique developed by Borgo et al. (2007) to quantify the robustness with a single parameter r, which ranges from 0 to 1. A network in which r approaches 0 is considered fragile, such that even if a very few plants are eliminated, most pollinators would go extinct. Likewise networks with r approaching 1 are considered robust. In a robust network, most pollinators survive even if a large fraction of the plant species is eliminated. Values were used for linear regression on distance from remnant forest. |
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unitless (0-1) ?Comment:Values were used for linear regression on distance from remnant forest. |
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Min Value
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Varies by run; view runs to see values |
Max Value
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Varies by run; view runs to see value |
Other Value Type
variable.detail.natureOtherEstHelp
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Not applicable |
Other Value
variable.detail.otherEstHelp
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Not reported |
Variable Variability and Sensitivity
Robustness of networks ?Comment:To determine how network architecture affects network stability, we calculated the robustness of each network. Rather than describing network architecture itself, robustness quantifies a network’s ability to retain its structure following the removal, or extinction, of species (Dunne et al. 2002). We simulated extinction by removing plant species and observing which pollinators were left without forage resources. Pollinator species were considered to go “extinct” when all of their plant hosts had been removed from the network. We used the technique developed by Borgo et al. (2007) to quantify the robustness with a single parameter r, which ranges from 0 to 1. A network in which r approaches 0 is considered fragile, such that even if a very few plants are eliminated, most pollinators would go extinct. Likewise networks with r approaching 1 are considered robust. In a robust network, most pollinators survive even if a large fraction of the plant species is eliminated. Values were used for linear regression on distance from remnant forest. |
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Variability Expression Given?
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No |
Variability Metric
variable.detail.variabilityMetricHelp
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None |
Variability Value
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None |
Variability Units
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None |
Resampling Used?
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Not applicable |
Variability Expression Used in Modeling?
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Not applicable |
Variable Operational Validation (Response Variables only)
Robustness of networks | |||
Variable ID
variable.detail.varIdHelp
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18877 | ||
Validated?
variable.detail.resValidatedHelp
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Yes | ||
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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None |