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EM Identity and Description

EM ID variable.detail.emIdHelp ?	EM-774
Document Author variable.detail.emDocumentAuthorHelp ?	Cusser, S. and K. Goodell
Document Year variable.detail.emDocumentYearHelp ?	2013

Variable General Info

Name variable.detail.varNameHelp ?	Connectance of networks ? Comment: Connectance is the proportion of realized links and provides a measure of network generalization adjusted for network size, with higher values indicating greater generalization (Lundgren & Olesen 2005). Thus, in a maximally connected network, where nearly all pollinators interact with nearly all plants, connectance approaches one. Values were used for linear regression on distance from remnant forest.	Plant-niche overlap of networks ? Comment: Plant-niche overlap quantifies the extent to which pollinators are shared by plant species. We determined plant-niche overlap using Horn’s index where a value of 0 indicates no common pollinators between plants, and a value near 1 indicates many shared pollinators (Mueller & Altenberg 1985). Values were used for linear regression on distance from remnant forest.	Pollinator evenness ? Comment: We tested evenness using H/Hmax, where H is the Shannon richness index and Hmax is its maximum value [log (species richness)]. Values were used for linear regression on Distance from remnant forest.	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.
Variable ID variable.detail.varIdHelp ?	18875	18876	18873	18877
Symbol variable.detail.varSymbolHelp ?	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)
Cardinal-Ordinal variable.detail.cardinalOrdinalHelp ?	Cardinal	Cardinal	Cardinal	Cardinal
Units variable.detail.varUnitsHelp ?	Proportion	unitless (0-1)	H/Hmax	unitless (0-1)

Variable Typology

Name variable.detail.varNameHelp ?	Connectance of networks ? Comment: Connectance is the proportion of realized links and provides a measure of network generalization adjusted for network size, with higher values indicating greater generalization (Lundgren & Olesen 2005). Thus, in a maximally connected network, where nearly all pollinators interact with nearly all plants, connectance approaches one. Values were used for linear regression on distance from remnant forest.	Plant-niche overlap of networks ? Comment: Plant-niche overlap quantifies the extent to which pollinators are shared by plant species. We determined plant-niche overlap using Horn’s index where a value of 0 indicates no common pollinators between plants, and a value near 1 indicates many shared pollinators (Mueller & Altenberg 1985). Values were used for linear regression on distance from remnant forest.	Pollinator evenness ? Comment: We tested evenness using H/Hmax, where H is the Shannon richness index and Hmax is its maximum value [log (species richness)]. Values were used for linear regression on Distance from remnant forest.	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.
Predictor-Intermediate-Response variable.detail.displayVariableTypeHelp ?	Response	Response	Response	Response
Predictor Variable Type variable.detail.displayPredictorVariableTypeHelp ?	Not applicable	Not applicable	Not applicable	Not applicable
Response Variable Type variable.detail.resClassHelp ?	Computed Variable	Computed Variable	Computed Variable	Computed Variable
Data Source/Type variable.detail.dataTypeHelp ?	Not applicable	Not applicable	Not applicable	Not applicable
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
	--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS	--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS	--Biological characteristics, processes or requirements of living ecosystem components	--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS
	----Suitability to supply regulation & maintenance services-Maintenance of conditions	----Suitability to supply regulation & maintenance services-Maintenance of conditions	----Biological characteristics, processes or requirements of fauna	----Suitability to supply regulation & maintenance services-Maintenance of conditions
	------Pollination and seed dispersal	------Pollination and seed dispersal	------Pollinators (nonspecific)	------Pollination and seed dispersal

Variable Spatial Characteristics

Name variable.detail.varNameHelp ?	Connectance of networks ? Comment: Connectance is the proportion of realized links and provides a measure of network generalization adjusted for network size, with higher values indicating greater generalization (Lundgren & Olesen 2005). Thus, in a maximally connected network, where nearly all pollinators interact with nearly all plants, connectance approaches one. Values were used for linear regression on distance from remnant forest.	Plant-niche overlap of networks ? Comment: Plant-niche overlap quantifies the extent to which pollinators are shared by plant species. We determined plant-niche overlap using Horn’s index where a value of 0 indicates no common pollinators between plants, and a value near 1 indicates many shared pollinators (Mueller & Altenberg 1985). Values were used for linear regression on distance from remnant forest.	Pollinator evenness ? Comment: We tested evenness using H/Hmax, where H is the Shannon richness index and Hmax is its maximum value [log (species richness)]. Values were used for linear regression on Distance from remnant forest.	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.
Spatial Extent Area variable.detail.spExtentHelp ?	1-10 km^2	1-10 km^2	1-10 km^2	1-10 km^2
Spatially Distributed? variable.detail.spDistributedHelp ?	Yes	Yes	Yes	Yes
Observations Spatially Patterned? variable.detail.regularSpGrainHelp ?	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
Spatial Grain Size variable.detail.spGrainSizeHelp ?	10 m radius	10 m radius	10 m radius	10 m radius
Spatial Density variable.detail.spDensityHelp ?	Not applicable	Not applicable	Not applicable	Not applicable
EnviroAtlas URL variable.detail.enviroAtlasURLHelp ?

Variable Temporal Characteristics

Name variable.detail.varNameHelp ?	Connectance of networks ? Comment: Connectance is the proportion of realized links and provides a measure of network generalization adjusted for network size, with higher values indicating greater generalization (Lundgren & Olesen 2005). Thus, in a maximally connected network, where nearly all pollinators interact with nearly all plants, connectance approaches one. Values were used for linear regression on distance from remnant forest.	Plant-niche overlap of networks ? Comment: Plant-niche overlap quantifies the extent to which pollinators are shared by plant species. We determined plant-niche overlap using Horn’s index where a value of 0 indicates no common pollinators between plants, and a value near 1 indicates many shared pollinators (Mueller & Altenberg 1985). Values were used for linear regression on distance from remnant forest.	Pollinator evenness ? Comment: We tested evenness using H/Hmax, where H is the Shannon richness index and Hmax is its maximum value [log (species richness)]. Values were used for linear regression on Distance from remnant forest.	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.
Temporal Extent variable.detail.tempExtentHelp ?	2010	2010	2010	2010
Temporally Distributed? variable.detail.tempDistributedHelp ?	Not applicable	Not applicable	Not applicable	Not applicable
Regular Temporal Grain? variable.detail.regularTempGrainHelp ?	Not applicable	Not applicable	Not applicable	Not applicable
Temporal Grain Size Value variable.detail.tempGrainSizeValHelp ?	Not applicable	Not applicable	Not applicable	Not applicable
Temporal Grain Size Units variable.detail.tempGrainSizeUnitHelp ?	Not applicable	Not applicable	Not applicable	Not applicable
Temporal Density variable.detail.tempDensityHelp ?	Not applicable	Not applicable	Not applicable	Not applicable

Variable Values

Name variable.detail.varNameHelp ?	Connectance of networks ? Comment: Connectance is the proportion of realized links and provides a measure of network generalization adjusted for network size, with higher values indicating greater generalization (Lundgren & Olesen 2005). Thus, in a maximally connected network, where nearly all pollinators interact with nearly all plants, connectance approaches one. Values were used for linear regression on distance from remnant forest.	Plant-niche overlap of networks ? Comment: Plant-niche overlap quantifies the extent to which pollinators are shared by plant species. We determined plant-niche overlap using Horn’s index where a value of 0 indicates no common pollinators between plants, and a value near 1 indicates many shared pollinators (Mueller & Altenberg 1985). Values were used for linear regression on distance from remnant forest.	Pollinator evenness ? Comment: We tested evenness using H/Hmax, where H is the Shannon richness index and Hmax is its maximum value [log (species richness)]. Values were used for linear regression on Distance from remnant forest.	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.
Units variable.detail.estUnitHelp ?	Proportion ? Comment: Values were used for linear regression on distance from remnant forest.	unitless (0-1) ? Comment: Values were used for linear regression on distance from remnant forest.	Not reported ? Comment: Values were used for linear regression on distance from remnant forest.	unitless (0-1) ? Comment: Values were used for linear regression on distance from remnant forest.
Min Value variable.detail.minEstHelp ?	Varies by run; view runs to see value	Varies by run; view runs to see value	Not reported	Varies by run; view runs to see values
Max Value variable.detail.estHelp ?	Varies by run; view runs to see value	Varies by run; view runs to see value	Not reported	Varies by run; view runs to see value
Other Value Type variable.detail.natureOtherEstHelp ?	Not applicable	Not applicable	Not applicable	Not applicable
Other Value variable.detail.otherEstHelp ?	Not reported	Not reported	Not reported	Not reported

Variable Variability and Sensitivity

Name variable.detail.varNameHelp ?	Connectance of networks ? Comment: Connectance is the proportion of realized links and provides a measure of network generalization adjusted for network size, with higher values indicating greater generalization (Lundgren & Olesen 2005). Thus, in a maximally connected network, where nearly all pollinators interact with nearly all plants, connectance approaches one. Values were used for linear regression on distance from remnant forest.	Plant-niche overlap of networks ? Comment: Plant-niche overlap quantifies the extent to which pollinators are shared by plant species. We determined plant-niche overlap using Horn’s index where a value of 0 indicates no common pollinators between plants, and a value near 1 indicates many shared pollinators (Mueller & Altenberg 1985). Values were used for linear regression on distance from remnant forest.	Pollinator evenness ? Comment: We tested evenness using H/Hmax, where H is the Shannon richness index and Hmax is its maximum value [log (species richness)]. Values were used for linear regression on Distance from remnant forest.	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.
Variability Expression Given? variable.detail.variabilityExpHelp ?	No	No	No	No
Variability Metric variable.detail.variabilityMetricHelp ?	None	None	None	None
Variability Value variable.detail.variabilityValueHelp ?	None	None	None	None
Variability Units	None	None	None	None
Resampling Used? variable.detail.bootstrappingHelp ?	Not applicable	Not applicable	Not applicable	Not applicable
Variability Expression Used in Modeling? variable.detail.variabilityUsedHelp ?	Not applicable	Not applicable	Not applicable	Not applicable

Variable Operational Validation (Response Variables only)

Name

Connectance of networks

Plant-niche overlap of networks

Pollinator evenness

Robustness of networks

Variable ID

18875

18876

18873

18877

Validated?

Yes

Validation Approach (within, between, etc.)

BPJ or Other (Comment)

Validation Quality (Qual/Quant)

Linear regression

Validation Method (Stat/Deviance)

Linear regression

Validation Metric

Multiple r2

p-value

Multiple r2

p-value

Multiple r2

p-value

Multiple r2

p-value

Validation Value

Varies by run; view runs to see value

Varies by run; view runs to see values

Varies by run; view runs to see value

Varies by run; view runs to see values

Validation Units

unitless

Use of Measured Response Data

None

US EPA

EcoService Models Library (ESML)

Variables Details

: (EM-774)

Selected

EM-774: Diversity and distribution of floral resources influence the restoration of plant-pollinator networks on a reclaimed strip mine

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