{PAGE NAME} | {WEB AREA NAME}

EM Identity and Description

EM ID variable.detail.emIdHelp ?	EM-363
Document Author variable.detail.emDocumentAuthorHelp ?	Bhagabati, N. K., Ricketts, T., Sulistyawan, T. B. S., Conte, M., Ennaanay, D., Hadian, O., McKenzie, E., Olwero, N., Rosenthal, A., Tallis, H., and Wolney, S.
Document Year variable.detail.emDocumentYearHelp ?	2014

Variable General Info

Name variable.detail.varNameHelp ?	Nitrogen loading ? Comment: We used the InVEST Tier 1 Water Purification: Nutrient Retention model to simulate nitrogen and phosphorus loading into streams and water bodies within the study area. These nutrients, often generated as a result of fertilizer application and other human activities, are leading causes of water pollution. The water purification model is based on the export coefficient approach described by Reckhow et al. (1980). The premise is that surface runoff will follow predictable patterns from its sources based largely on landscape geomorphology. The model adjusts for each pixel’s capability to generate nutrient runoff based on the quantity of runoff coming into it (estimated by the water yield model). Initially, we used export coefficients detailed in Reckhow et al. (1980). We updated some of these values for the Sumatran context using values from Chew and Pushparajah (1995, Table 2 on pg. 230, http://books.google.co.ls/books?id=PfjxThK1MDUC&lpg=PP1&hl=en&pg=PA230#v=onepage&q&f=false) and Mackensen and Folster (2000). This variable has set constant values determined by class of Land use/land cover.	Nitrogen retention efficiency ? Comment: The nutrient runoff from each pixel is routed downslope, with some being retained along the flow path based upon nutrient retention efficiencies of the downslope pixels. Each pixel will potentially export some nutrients to streams, while also retaining some nutrients. The retention coefficients were estimated based on Uusi-Kamppa et al. (1997). This variable has set constant values determined by class of Land use/land cover.	Phosphorus loading ? Comment: We used the InVEST Tier 1 Water Purification: Nutrient Retention model to simulate nitrogen and phosphorus loading into streams and water bodies within the study area. These nutrients, often generated as a result of fertilizer application and other human activities, are leading causes of water pollution. The water purification model is based on the export coefficient approach described by Reckhow et al. (1980). The premise is that surface runoff will follow predictable patterns from its sources based largely on landscape geomorphology. The model adjusts for each pixel’s capability to generate nutrient runoff based on the quantity of runoff coming into it (estimated by the water yield model). Initially, we used export coefficients detailed in Reckhow et al. (1980). We updated some of these values for the Sumatran context using values from Chew and Pushparajah (1995, Table 2 on pg. 230, http://books.google.co.ls/books?id=PfjxThK1MDUC&lpg=PP1&hl=en&pg=PA230#v=onepage&q&f=false) and Mackensen and Folster (2000). This variable has set constant values determined by class of Land use/land cover.	Phosphorus retention efficiency ? Comment: The nutrient runoff from each pixel is routed downslope, with some being retained along the flow path based upon nutrient retention efficiencies of the downslope pixels. Each pixel will potentially export some nutrients to streams, while also retaining some nutrients. The retention coefficients were estimated based on Uusi-Kamppa et al. (1997). This variable has set constant values determined by class of Land use/land cover.
Variable ID variable.detail.varIdHelp ?	6995	6997	6996	6998
Symbol variable.detail.varSymbolHelp ?	load_n	eff_n	load_p	eff_p
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 ?	g ha^-1 y^-1	%	g ha^-1 y^-1	%

Variable Typology

Name variable.detail.varNameHelp ?	Nitrogen loading ? Comment: We used the InVEST Tier 1 Water Purification: Nutrient Retention model to simulate nitrogen and phosphorus loading into streams and water bodies within the study area. These nutrients, often generated as a result of fertilizer application and other human activities, are leading causes of water pollution. The water purification model is based on the export coefficient approach described by Reckhow et al. (1980). The premise is that surface runoff will follow predictable patterns from its sources based largely on landscape geomorphology. The model adjusts for each pixel’s capability to generate nutrient runoff based on the quantity of runoff coming into it (estimated by the water yield model). Initially, we used export coefficients detailed in Reckhow et al. (1980). We updated some of these values for the Sumatran context using values from Chew and Pushparajah (1995, Table 2 on pg. 230, http://books.google.co.ls/books?id=PfjxThK1MDUC&lpg=PP1&hl=en&pg=PA230#v=onepage&q&f=false) and Mackensen and Folster (2000). This variable has set constant values determined by class of Land use/land cover.	Nitrogen retention efficiency ? Comment: The nutrient runoff from each pixel is routed downslope, with some being retained along the flow path based upon nutrient retention efficiencies of the downslope pixels. Each pixel will potentially export some nutrients to streams, while also retaining some nutrients. The retention coefficients were estimated based on Uusi-Kamppa et al. (1997). This variable has set constant values determined by class of Land use/land cover.	Phosphorus loading ? Comment: We used the InVEST Tier 1 Water Purification: Nutrient Retention model to simulate nitrogen and phosphorus loading into streams and water bodies within the study area. These nutrients, often generated as a result of fertilizer application and other human activities, are leading causes of water pollution. The water purification model is based on the export coefficient approach described by Reckhow et al. (1980). The premise is that surface runoff will follow predictable patterns from its sources based largely on landscape geomorphology. The model adjusts for each pixel’s capability to generate nutrient runoff based on the quantity of runoff coming into it (estimated by the water yield model). Initially, we used export coefficients detailed in Reckhow et al. (1980). We updated some of these values for the Sumatran context using values from Chew and Pushparajah (1995, Table 2 on pg. 230, http://books.google.co.ls/books?id=PfjxThK1MDUC&lpg=PP1&hl=en&pg=PA230#v=onepage&q&f=false) and Mackensen and Folster (2000). This variable has set constant values determined by class of Land use/land cover.	Phosphorus retention efficiency ? Comment: The nutrient runoff from each pixel is routed downslope, with some being retained along the flow path based upon nutrient retention efficiencies of the downslope pixels. Each pixel will potentially export some nutrients to streams, while also retaining some nutrients. The retention coefficients were estimated based on Uusi-Kamppa et al. (1997). This variable has set constant values determined by class of Land use/land cover.
Predictor-Intermediate-Response variable.detail.displayVariableTypeHelp ?	Predictor	Predictor	Predictor	Predictor
Predictor Variable Type variable.detail.displayPredictorVariableTypeHelp ?	Constant or Parameter	Constant or Parameter	Constant or Parameter	Constant or Parameter
Response Variable Type variable.detail.resClassHelp ?	Not applicable	Not applicable	Not applicable	Not applicable
Data Source/Type variable.detail.dataTypeHelp ?	Transferred Values (e.g., from literature; transferred spatially, temporally or across scales)	Transferred Values (e.g., from literature; transferred spatially, temporally or across scales)	Transferred Values (e.g., from literature; transferred spatially, temporally or across scales)	Transferred Values (e.g., from literature; transferred spatially, temporally or across scales)
Variable Classification Hierarchy variable.detail.vchLevel1Help ?	4. Human-Produced Stressor or Enhancer of Ecosystem Goods and Services Production	5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services	4. Human-Produced Stressor or Enhancer of Ecosystem Goods and Services Production	5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services
	--Human-caused release, presence or characteristics of polluting substances	--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS	--Human-caused release, presence or characteristics of polluting substances	--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS
	----Release, presence or characteristics of reactive forms of nitrogen in air or water	----Suitability to supply regulation & maintenance services-Mediation of wastes	----Release, presence or characteristics of phosphorus in air or water	----Suitability to supply regulation & maintenance services-Mediation of wastes
		------Filtration/sequestration/storage/accumulation by ecosystems		------Filtration/sequestration/storage/accumulation by ecosystems

Variable Spatial Characteristics

Name variable.detail.varNameHelp ?	Nitrogen loading ? Comment: We used the InVEST Tier 1 Water Purification: Nutrient Retention model to simulate nitrogen and phosphorus loading into streams and water bodies within the study area. These nutrients, often generated as a result of fertilizer application and other human activities, are leading causes of water pollution. The water purification model is based on the export coefficient approach described by Reckhow et al. (1980). The premise is that surface runoff will follow predictable patterns from its sources based largely on landscape geomorphology. The model adjusts for each pixel’s capability to generate nutrient runoff based on the quantity of runoff coming into it (estimated by the water yield model). Initially, we used export coefficients detailed in Reckhow et al. (1980). We updated some of these values for the Sumatran context using values from Chew and Pushparajah (1995, Table 2 on pg. 230, http://books.google.co.ls/books?id=PfjxThK1MDUC&lpg=PP1&hl=en&pg=PA230#v=onepage&q&f=false) and Mackensen and Folster (2000). This variable has set constant values determined by class of Land use/land cover.	Nitrogen retention efficiency ? Comment: The nutrient runoff from each pixel is routed downslope, with some being retained along the flow path based upon nutrient retention efficiencies of the downslope pixels. Each pixel will potentially export some nutrients to streams, while also retaining some nutrients. The retention coefficients were estimated based on Uusi-Kamppa et al. (1997). This variable has set constant values determined by class of Land use/land cover.	Phosphorus loading ? Comment: We used the InVEST Tier 1 Water Purification: Nutrient Retention model to simulate nitrogen and phosphorus loading into streams and water bodies within the study area. These nutrients, often generated as a result of fertilizer application and other human activities, are leading causes of water pollution. The water purification model is based on the export coefficient approach described by Reckhow et al. (1980). The premise is that surface runoff will follow predictable patterns from its sources based largely on landscape geomorphology. The model adjusts for each pixel’s capability to generate nutrient runoff based on the quantity of runoff coming into it (estimated by the water yield model). Initially, we used export coefficients detailed in Reckhow et al. (1980). We updated some of these values for the Sumatran context using values from Chew and Pushparajah (1995, Table 2 on pg. 230, http://books.google.co.ls/books?id=PfjxThK1MDUC&lpg=PP1&hl=en&pg=PA230#v=onepage&q&f=false) and Mackensen and Folster (2000). This variable has set constant values determined by class of Land use/land cover.	Phosphorus retention efficiency ? Comment: The nutrient runoff from each pixel is routed downslope, with some being retained along the flow path based upon nutrient retention efficiencies of the downslope pixels. Each pixel will potentially export some nutrients to streams, while also retaining some nutrients. The retention coefficients were estimated based on Uusi-Kamppa et al. (1997). This variable has set constant values determined by class of Land use/land cover.
Spatial Extent Area variable.detail.spExtentHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
Spatially Distributed? variable.detail.spDistributedHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
Observations Spatially Patterned? variable.detail.regularSpGrainHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
Spatial Grain Type variable.detail.spGrainTypeHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
Spatial Grain Size variable.detail.spGrainSizeHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
Spatial Density variable.detail.spDensityHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
EnviroAtlas URL variable.detail.enviroAtlasURLHelp ?	Total Annual Nitrogen Deposition

Variable Temporal Characteristics

Name variable.detail.varNameHelp ?	Nitrogen loading ? Comment: We used the InVEST Tier 1 Water Purification: Nutrient Retention model to simulate nitrogen and phosphorus loading into streams and water bodies within the study area. These nutrients, often generated as a result of fertilizer application and other human activities, are leading causes of water pollution. The water purification model is based on the export coefficient approach described by Reckhow et al. (1980). The premise is that surface runoff will follow predictable patterns from its sources based largely on landscape geomorphology. The model adjusts for each pixel’s capability to generate nutrient runoff based on the quantity of runoff coming into it (estimated by the water yield model). Initially, we used export coefficients detailed in Reckhow et al. (1980). We updated some of these values for the Sumatran context using values from Chew and Pushparajah (1995, Table 2 on pg. 230, http://books.google.co.ls/books?id=PfjxThK1MDUC&lpg=PP1&hl=en&pg=PA230#v=onepage&q&f=false) and Mackensen and Folster (2000). This variable has set constant values determined by class of Land use/land cover.	Nitrogen retention efficiency ? Comment: The nutrient runoff from each pixel is routed downslope, with some being retained along the flow path based upon nutrient retention efficiencies of the downslope pixels. Each pixel will potentially export some nutrients to streams, while also retaining some nutrients. The retention coefficients were estimated based on Uusi-Kamppa et al. (1997). This variable has set constant values determined by class of Land use/land cover.	Phosphorus loading ? Comment: We used the InVEST Tier 1 Water Purification: Nutrient Retention model to simulate nitrogen and phosphorus loading into streams and water bodies within the study area. These nutrients, often generated as a result of fertilizer application and other human activities, are leading causes of water pollution. The water purification model is based on the export coefficient approach described by Reckhow et al. (1980). The premise is that surface runoff will follow predictable patterns from its sources based largely on landscape geomorphology. The model adjusts for each pixel’s capability to generate nutrient runoff based on the quantity of runoff coming into it (estimated by the water yield model). Initially, we used export coefficients detailed in Reckhow et al. (1980). We updated some of these values for the Sumatran context using values from Chew and Pushparajah (1995, Table 2 on pg. 230, http://books.google.co.ls/books?id=PfjxThK1MDUC&lpg=PP1&hl=en&pg=PA230#v=onepage&q&f=false) and Mackensen and Folster (2000). This variable has set constant values determined by class of Land use/land cover.	Phosphorus retention efficiency ? Comment: The nutrient runoff from each pixel is routed downslope, with some being retained along the flow path based upon nutrient retention efficiencies of the downslope pixels. Each pixel will potentially export some nutrients to streams, while also retaining some nutrients. The retention coefficients were estimated based on Uusi-Kamppa et al. (1997). This variable has set constant values determined by class of Land use/land cover.
Temporal Extent variable.detail.tempExtentHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
Temporally Distributed? variable.detail.tempDistributedHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
Regular Temporal Grain? variable.detail.regularTempGrainHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
Temporal Grain Size Value variable.detail.tempGrainSizeValHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
Temporal Grain Size Units variable.detail.tempGrainSizeUnitHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
Temporal Density variable.detail.tempDensityHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables

Variable Values

Name variable.detail.varNameHelp ?	Nitrogen loading ? Comment: We used the InVEST Tier 1 Water Purification: Nutrient Retention model to simulate nitrogen and phosphorus loading into streams and water bodies within the study area. These nutrients, often generated as a result of fertilizer application and other human activities, are leading causes of water pollution. The water purification model is based on the export coefficient approach described by Reckhow et al. (1980). The premise is that surface runoff will follow predictable patterns from its sources based largely on landscape geomorphology. The model adjusts for each pixel’s capability to generate nutrient runoff based on the quantity of runoff coming into it (estimated by the water yield model). Initially, we used export coefficients detailed in Reckhow et al. (1980). We updated some of these values for the Sumatran context using values from Chew and Pushparajah (1995, Table 2 on pg. 230, http://books.google.co.ls/books?id=PfjxThK1MDUC&lpg=PP1&hl=en&pg=PA230#v=onepage&q&f=false) and Mackensen and Folster (2000). This variable has set constant values determined by class of Land use/land cover.	Nitrogen retention efficiency ? Comment: The nutrient runoff from each pixel is routed downslope, with some being retained along the flow path based upon nutrient retention efficiencies of the downslope pixels. Each pixel will potentially export some nutrients to streams, while also retaining some nutrients. The retention coefficients were estimated based on Uusi-Kamppa et al. (1997). This variable has set constant values determined by class of Land use/land cover.	Phosphorus loading ? Comment: We used the InVEST Tier 1 Water Purification: Nutrient Retention model to simulate nitrogen and phosphorus loading into streams and water bodies within the study area. These nutrients, often generated as a result of fertilizer application and other human activities, are leading causes of water pollution. The water purification model is based on the export coefficient approach described by Reckhow et al. (1980). The premise is that surface runoff will follow predictable patterns from its sources based largely on landscape geomorphology. The model adjusts for each pixel’s capability to generate nutrient runoff based on the quantity of runoff coming into it (estimated by the water yield model). Initially, we used export coefficients detailed in Reckhow et al. (1980). We updated some of these values for the Sumatran context using values from Chew and Pushparajah (1995, Table 2 on pg. 230, http://books.google.co.ls/books?id=PfjxThK1MDUC&lpg=PP1&hl=en&pg=PA230#v=onepage&q&f=false) and Mackensen and Folster (2000). This variable has set constant values determined by class of Land use/land cover.	Phosphorus retention efficiency ? Comment: The nutrient runoff from each pixel is routed downslope, with some being retained along the flow path based upon nutrient retention efficiencies of the downslope pixels. Each pixel will potentially export some nutrients to streams, while also retaining some nutrients. The retention coefficients were estimated based on Uusi-Kamppa et al. (1997). This variable has set constant values determined by class of Land use/land cover.
Units variable.detail.estUnitHelp ?	g ha^-1 y^-1	%	g ha^-1 y^-1	%
Min Value variable.detail.minEstHelp ?	0	0	0	0
Max Value variable.detail.estHelp ?	70,000	60	9,800	60
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 ?	Nitrogen loading ? Comment: We used the InVEST Tier 1 Water Purification: Nutrient Retention model to simulate nitrogen and phosphorus loading into streams and water bodies within the study area. These nutrients, often generated as a result of fertilizer application and other human activities, are leading causes of water pollution. The water purification model is based on the export coefficient approach described by Reckhow et al. (1980). The premise is that surface runoff will follow predictable patterns from its sources based largely on landscape geomorphology. The model adjusts for each pixel’s capability to generate nutrient runoff based on the quantity of runoff coming into it (estimated by the water yield model). Initially, we used export coefficients detailed in Reckhow et al. (1980). We updated some of these values for the Sumatran context using values from Chew and Pushparajah (1995, Table 2 on pg. 230, http://books.google.co.ls/books?id=PfjxThK1MDUC&lpg=PP1&hl=en&pg=PA230#v=onepage&q&f=false) and Mackensen and Folster (2000). This variable has set constant values determined by class of Land use/land cover.	Nitrogen retention efficiency ? Comment: The nutrient runoff from each pixel is routed downslope, with some being retained along the flow path based upon nutrient retention efficiencies of the downslope pixels. Each pixel will potentially export some nutrients to streams, while also retaining some nutrients. The retention coefficients were estimated based on Uusi-Kamppa et al. (1997). This variable has set constant values determined by class of Land use/land cover.	Phosphorus loading ? Comment: We used the InVEST Tier 1 Water Purification: Nutrient Retention model to simulate nitrogen and phosphorus loading into streams and water bodies within the study area. These nutrients, often generated as a result of fertilizer application and other human activities, are leading causes of water pollution. The water purification model is based on the export coefficient approach described by Reckhow et al. (1980). The premise is that surface runoff will follow predictable patterns from its sources based largely on landscape geomorphology. The model adjusts for each pixel’s capability to generate nutrient runoff based on the quantity of runoff coming into it (estimated by the water yield model). Initially, we used export coefficients detailed in Reckhow et al. (1980). We updated some of these values for the Sumatran context using values from Chew and Pushparajah (1995, Table 2 on pg. 230, http://books.google.co.ls/books?id=PfjxThK1MDUC&lpg=PP1&hl=en&pg=PA230#v=onepage&q&f=false) and Mackensen and Folster (2000). This variable has set constant values determined by class of Land use/land cover.	Phosphorus retention efficiency ? Comment: The nutrient runoff from each pixel is routed downslope, with some being retained along the flow path based upon nutrient retention efficiencies of the downslope pixels. Each pixel will potentially export some nutrients to streams, while also retaining some nutrients. The retention coefficients were estimated based on Uusi-Kamppa et al. (1997). This variable has set constant values determined by class of Land use/land cover.
Variability Expression Given? variable.detail.variabilityExpHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
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 recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables
Variability Expression Used in Modeling? variable.detail.variabilityUsedHelp ?	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables

Variable Operational Validation (Response Variables only)

Name variable.detail.varNameHelp ?
Variable ID variable.detail.varIdHelp ?
Validated? variable.detail.resValidatedHelp ?
Validation Approach (within, between, etc.) variable.detail.validationApproachHelp ?
Validation Quality (Qual/Quant) variable.detail.validationQualityHelp ?
Validation Method (Stat/Deviance) variable.detail.validationMethodHelp ?
Validation Metric variable.detail.validationMetricHelp ?
Validation Value variable.detail.validationValHelp ?
Validation Units
Use of Measured Response Data variable.detail.measuredResponseDataHelp ?

Name

Variable ID

Validated?

Validation Approach (within, between, etc.)

Validation Quality (Qual/Quant)

Validation Method (Stat/Deviance)

Validation Metric

Validation Value

Validation Units

Use of Measured Response Data

US EPA

EcoService Models Library (ESML)

Variables Details

: (EM-363)

Selected

EM-363: Ecosystem services reinforce Sumatran tiger conservation in land use plans

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