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EM-363: Ecosystem services reinforce Sumatran tiger conservation in land use plans
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EM Identity and Description
| EM-363 | |
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Document Author
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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. |
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Document Year
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2014 |
Variable General Info
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. |
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Variable ID
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6995 |
| load_n | |
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Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
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Quantitative (Cardinal Only) |
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Cardinal-Ordinal
variable.detail.cardinalOrdinalHelp
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Cardinal |
| g ha^-1 y^-1 |
Variable Typology
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. |
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Predictor-Intermediate-Response
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Predictor |
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Predictor Variable Type
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Constant or Parameter |
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Response Variable Type
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Not applicable |
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Data Source/Type
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Transferred Values (e.g., from literature; transferred spatially, temporally or across scales) |
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Variable Classification Hierarchy
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4. Human-Produced Stressor or Enhancer of Ecosystem Goods and Services Production |
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--Human-caused release, presence or characteristics of polluting substances |
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----Release, presence or characteristics of reactive forms of nitrogen in air or water |
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Variable Spatial Characteristics
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. |
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Spatial Extent Area
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Not recorded for Constant or Factor Variables |
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Spatially Distributed?
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Not recorded for Constant or Factor Variables |
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Observations Spatially Patterned?
variable.detail.regularSpGrainHelp
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Not recorded for Constant or Factor Variables |
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Spatial Grain Type
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Not recorded for Constant or Factor Variables |
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Spatial Grain Size
variable.detail.spGrainSizeHelp
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Not recorded for Constant or Factor Variables |
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Spatial Density
variable.detail.spDensityHelp
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Not recorded for Constant or Factor Variables |
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EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
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Total Annual Nitrogen Deposition |
Variable Temporal Characteristics
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. |
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Temporal Extent
variable.detail.tempExtentHelp
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Not recorded for Constant or Factor Variables |
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Temporally Distributed?
variable.detail.tempDistributedHelp
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Not recorded for Constant or Factor Variables |
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Regular Temporal Grain?
variable.detail.regularTempGrainHelp
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Not recorded for Constant or Factor Variables |
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Temporal Grain Size Value
variable.detail.tempGrainSizeValHelp
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Not recorded for Constant or Factor Variables |
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Temporal Grain Size Units
variable.detail.tempGrainSizeUnitHelp
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Not recorded for Constant or Factor Variables |
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Temporal Density
variable.detail.tempDensityHelp
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Not recorded for Constant or Factor Variables |
Variable Values
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. |
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| g ha^-1 y^-1 | |
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Min Value
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0 |
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Max Value
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70,000 |
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Other Value Type
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Not applicable |
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Other Value
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Not reported |
Variable Variability and Sensitivity
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. |
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Variability Expression Given?
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Not recorded for Constant or Factor Variables |
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Variability Metric
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None |
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Variability Value
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None |
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Variability Units
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None |
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Resampling Used?
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Not recorded for Constant or Factor Variables |
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Variability Expression Used in Modeling?
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Not recorded for Constant or Factor Variables |
Variable Operational Validation (Response Variables only)
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Variable ID
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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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