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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
variable.detail.emDocumentYearHelp
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2014 |
Variable General Info
Land use/land cover class ?Comment:A LULC map was obtained for the "baseline year of 2008 from WWF Indonesia, derived by manual classification of Landsat and IRS-P6 satellite imagery at 30 m resolution and validated through ground checks (Setiabudi and Budiman, 2008). The map contained 89 LULC classes (Appendix A)". "The Sumatra Ecosystem Vision scenario is based on the Sumatra 2020 Roadmap (Roosita et al., 2010), a vision for sustainable land use advanced by the Sumatra Spatial Planning Forum, a coalition of government officials, civil society representatives and academics. It delineates areas for conservation, restoration and development based on 9 spatial layers...The Government Spatial Plan scenario is based on zoning plans developed by the Indonesian Ministry of Public Works for the three provinces covering our study area (Riau, Jambi and West Sumatra) as mandated under Indonesia’s Spatial Planning law No. 26 / 2007 (Hudalah and Woltjer, 2007). These plans incorporate stakeholder input from the relevant provinces". Land use/land cover is a class driver variable that sets constant values for the variables; Nitrogen loading per land use, Phosphorus loading per land use, Nitrogen retention efficiency per land use, and Phosphorus retention efficiency per land use, per land use/land cover type. |
Sub-watershed boundary |
Water yield per pixel ?Comment:Water yield input was derived as output of a separate model necessarily run in conjunction with the Water Purification (Nutrient Retention) model. The InVEST Water Yield model evaluates how LULC affects annual water yield across a landscape. The model calculates water yield, defined here as all precipitation that does not evapotranspire, as an annual average runoff depth (mm y^-1). |
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Variable ID
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6993 | 7043 | 6994 |
| LULC | Not reported | Not reported | |
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Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
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Qualitative (Class, Rating or Ranking) | Qualitative (Class, Rating or Ranking) | Quantitative (Cardinal Only) |
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Cardinal-Ordinal
variable.detail.cardinalOrdinalHelp
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Non-Ordinal | Non-Ordinal | Cardinal |
| Not applicable | Not applicable | mm yr^-1 |
Variable Typology
Land use/land cover class ?Comment:A LULC map was obtained for the "baseline year of 2008 from WWF Indonesia, derived by manual classification of Landsat and IRS-P6 satellite imagery at 30 m resolution and validated through ground checks (Setiabudi and Budiman, 2008). The map contained 89 LULC classes (Appendix A)". "The Sumatra Ecosystem Vision scenario is based on the Sumatra 2020 Roadmap (Roosita et al., 2010), a vision for sustainable land use advanced by the Sumatra Spatial Planning Forum, a coalition of government officials, civil society representatives and academics. It delineates areas for conservation, restoration and development based on 9 spatial layers...The Government Spatial Plan scenario is based on zoning plans developed by the Indonesian Ministry of Public Works for the three provinces covering our study area (Riau, Jambi and West Sumatra) as mandated under Indonesia’s Spatial Planning law No. 26 / 2007 (Hudalah and Woltjer, 2007). These plans incorporate stakeholder input from the relevant provinces". Land use/land cover is a class driver variable that sets constant values for the variables; Nitrogen loading per land use, Phosphorus loading per land use, Nitrogen retention efficiency per land use, and Phosphorus retention efficiency per land use, per land use/land cover type. |
Sub-watershed boundary |
Water yield per pixel ?Comment:Water yield input was derived as output of a separate model necessarily run in conjunction with the Water Purification (Nutrient Retention) model. The InVEST Water Yield model evaluates how LULC affects annual water yield across a landscape. The model calculates water yield, defined here as all precipitation that does not evapotranspire, as an annual average runoff depth (mm y^-1). |
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Predictor-Intermediate-Response
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Predictor |
Predictor |
Predictor |
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Predictor Variable Type
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Time- or Space-varying Variable |
Time- or Space-varying Variable |
Time- or Space-varying Variable |
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Response Variable Type
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Not applicable | Not applicable | Not applicable |
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Data Source/Type
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Map or database (e.g., wide coverage, wide availability, measured or modeled) | Derived as output of another model (and not found in a widely available database) |
Derived as output of another model (and not found in a widely available database) ?Comment:Water yield was derived as output of a separate InVEST model. |
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Variable Classification Hierarchy
variable.detail.vchLevel1Help
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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 |
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--Land use/land cover type or dominant habitat type |
--Demarcation of watershed, channel, floodplain, shore, coastline, flowline |
--Physical/chemical characteristics of nonliving ecosystem components |
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----Other, multiple, unspecified or unclear |
----Watershed demarcation or dimension |
----Physical/chemical characteristics of water |
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------Water volume or flow over ground surface (i.e., runoff) |
Variable Spatial Characteristics
Land use/land cover class ?Comment:A LULC map was obtained for the "baseline year of 2008 from WWF Indonesia, derived by manual classification of Landsat and IRS-P6 satellite imagery at 30 m resolution and validated through ground checks (Setiabudi and Budiman, 2008). The map contained 89 LULC classes (Appendix A)". "The Sumatra Ecosystem Vision scenario is based on the Sumatra 2020 Roadmap (Roosita et al., 2010), a vision for sustainable land use advanced by the Sumatra Spatial Planning Forum, a coalition of government officials, civil society representatives and academics. It delineates areas for conservation, restoration and development based on 9 spatial layers...The Government Spatial Plan scenario is based on zoning plans developed by the Indonesian Ministry of Public Works for the three provinces covering our study area (Riau, Jambi and West Sumatra) as mandated under Indonesia’s Spatial Planning law No. 26 / 2007 (Hudalah and Woltjer, 2007). These plans incorporate stakeholder input from the relevant provinces". Land use/land cover is a class driver variable that sets constant values for the variables; Nitrogen loading per land use, Phosphorus loading per land use, Nitrogen retention efficiency per land use, and Phosphorus retention efficiency per land use, per land use/land cover type. |
Sub-watershed boundary |
Water yield per pixel ?Comment:Water yield input was derived as output of a separate model necessarily run in conjunction with the Water Purification (Nutrient Retention) model. The InVEST Water Yield model evaluates how LULC affects annual water yield across a landscape. The model calculates water yield, defined here as all precipitation that does not evapotranspire, as an annual average runoff depth (mm y^-1). |
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Spatial Extent Area
variable.detail.spExtentHelp
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100,000-1,000,000 km^2 | 100,000-1,000,000 km^2 | 100,000-1,000,000 km^2 |
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Spatially Distributed?
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Yes | Yes | Yes |
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Observations Spatially Patterned?
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Yes | No | Yes |
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Spatial Grain Type
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area, for pixel or radial feature | Not applicable | area, for pixel or radial feature |
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Spatial Grain Size
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30 m x 30 m | Not applicable | 30 m x 30 m |
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Spatial Density
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Not applicable | 6 watersheds divided into 68 sub-watersheds | Not applicable |
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EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
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The Watershed Boundary Dataset (WBD) |
Variable Temporal Characteristics
Land use/land cover class ?Comment:A LULC map was obtained for the "baseline year of 2008 from WWF Indonesia, derived by manual classification of Landsat and IRS-P6 satellite imagery at 30 m resolution and validated through ground checks (Setiabudi and Budiman, 2008). The map contained 89 LULC classes (Appendix A)". "The Sumatra Ecosystem Vision scenario is based on the Sumatra 2020 Roadmap (Roosita et al., 2010), a vision for sustainable land use advanced by the Sumatra Spatial Planning Forum, a coalition of government officials, civil society representatives and academics. It delineates areas for conservation, restoration and development based on 9 spatial layers...The Government Spatial Plan scenario is based on zoning plans developed by the Indonesian Ministry of Public Works for the three provinces covering our study area (Riau, Jambi and West Sumatra) as mandated under Indonesia’s Spatial Planning law No. 26 / 2007 (Hudalah and Woltjer, 2007). These plans incorporate stakeholder input from the relevant provinces". Land use/land cover is a class driver variable that sets constant values for the variables; Nitrogen loading per land use, Phosphorus loading per land use, Nitrogen retention efficiency per land use, and Phosphorus retention efficiency per land use, per land use/land cover type. |
Sub-watershed boundary |
Water yield per pixel ?Comment:Water yield input was derived as output of a separate model necessarily run in conjunction with the Water Purification (Nutrient Retention) model. The InVEST Water Yield model evaluates how LULC affects annual water yield across a landscape. The model calculates water yield, defined here as all precipitation that does not evapotranspire, as an annual average runoff depth (mm y^-1). |
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Temporal Extent
variable.detail.tempExtentHelp
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2008-2020 | Not applicable | 2008-2020 |
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Temporally Distributed?
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Not applicable | Not applicable | Not applicable |
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Regular Temporal Grain?
variable.detail.regularTempGrainHelp
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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 | Not applicable |
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Temporal Grain Size Units
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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 |
Variable Values
Land use/land cover class ?Comment:A LULC map was obtained for the "baseline year of 2008 from WWF Indonesia, derived by manual classification of Landsat and IRS-P6 satellite imagery at 30 m resolution and validated through ground checks (Setiabudi and Budiman, 2008). The map contained 89 LULC classes (Appendix A)". "The Sumatra Ecosystem Vision scenario is based on the Sumatra 2020 Roadmap (Roosita et al., 2010), a vision for sustainable land use advanced by the Sumatra Spatial Planning Forum, a coalition of government officials, civil society representatives and academics. It delineates areas for conservation, restoration and development based on 9 spatial layers...The Government Spatial Plan scenario is based on zoning plans developed by the Indonesian Ministry of Public Works for the three provinces covering our study area (Riau, Jambi and West Sumatra) as mandated under Indonesia’s Spatial Planning law No. 26 / 2007 (Hudalah and Woltjer, 2007). These plans incorporate stakeholder input from the relevant provinces". Land use/land cover is a class driver variable that sets constant values for the variables; Nitrogen loading per land use, Phosphorus loading per land use, Nitrogen retention efficiency per land use, and Phosphorus retention efficiency per land use, per land use/land cover type. |
Sub-watershed boundary |
Water yield per pixel ?Comment:Water yield input was derived as output of a separate model necessarily run in conjunction with the Water Purification (Nutrient Retention) model. The InVEST Water Yield model evaluates how LULC affects annual water yield across a landscape. The model calculates water yield, defined here as all precipitation that does not evapotranspire, as an annual average runoff depth (mm y^-1). |
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| Not applicable | Not applicable | Not reported | |
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Min Value
variable.detail.minEstHelp
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Not applicable | Not applicable | Not reported |
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Max Value
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Not applicable | Not applicable | Not reported |
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Other Value Type
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Not applicable | Not applicable | Not applicable |
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Other Value
variable.detail.otherEstHelp
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Not applicable | Not applicable | Not reported |
Variable Variability and Sensitivity
Land use/land cover class ?Comment:A LULC map was obtained for the "baseline year of 2008 from WWF Indonesia, derived by manual classification of Landsat and IRS-P6 satellite imagery at 30 m resolution and validated through ground checks (Setiabudi and Budiman, 2008). The map contained 89 LULC classes (Appendix A)". "The Sumatra Ecosystem Vision scenario is based on the Sumatra 2020 Roadmap (Roosita et al., 2010), a vision for sustainable land use advanced by the Sumatra Spatial Planning Forum, a coalition of government officials, civil society representatives and academics. It delineates areas for conservation, restoration and development based on 9 spatial layers...The Government Spatial Plan scenario is based on zoning plans developed by the Indonesian Ministry of Public Works for the three provinces covering our study area (Riau, Jambi and West Sumatra) as mandated under Indonesia’s Spatial Planning law No. 26 / 2007 (Hudalah and Woltjer, 2007). These plans incorporate stakeholder input from the relevant provinces". Land use/land cover is a class driver variable that sets constant values for the variables; Nitrogen loading per land use, Phosphorus loading per land use, Nitrogen retention efficiency per land use, and Phosphorus retention efficiency per land use, per land use/land cover type. |
Sub-watershed boundary |
Water yield per pixel ?Comment:Water yield input was derived as output of a separate model necessarily run in conjunction with the Water Purification (Nutrient Retention) model. The InVEST Water Yield model evaluates how LULC affects annual water yield across a landscape. The model calculates water yield, defined here as all precipitation that does not evapotranspire, as an annual average runoff depth (mm y^-1). |
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Variability Expression Given?
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Not applicable | No | No |
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Variability Metric
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None | None | None |
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Variability Value
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None | None | None |
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Variability Units
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None | None | None |
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Resampling Used?
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Not applicable | Not applicable | Not applicable |
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Variability Expression Used in Modeling?
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Not applicable | Not applicable | Not applicable |
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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