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: InVEST (Integrated Valuation of Environmental Services and Tradeoffs version 1.004) carbon storage and sequestration, Sumatra, Indonesia (EM-349)
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EM Identity and Description
EM Identification (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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EM Short Name
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InVEST (v1.004) Carbon, Indonesia | InVEST (v1.004) Carbon, Indonesia | InVEST (v1.004) Carbon, Indonesia | InVEST (v1.004) Carbon, Indonesia |
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EM Full Name
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InVEST (Integrated Valuation of Environmental Services and Tradeoffs version 1.004) carbon storage and sequestration, Sumatra, Indonesia | InVEST (Integrated Valuation of Environmental Services and Tradeoffs v1.004) carbon storage and sequestration, Sumatra, Indonesia | InVEST (Integrated Valuation of Environmental Services and Tradeoffs v1.004) carbon storage and sequestration, Sumatra, Indonesia | InVEST (Integrated Valuation of Environmental Services and Tradeoffs v1.004) carbon storage and sequestration, Sumatra, Indonesia |
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EM Source or Collection
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InVEST | * | * | * |
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EM Source Document ID
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309 | * | * | * |
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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 | * | * | * |
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Document Title
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Ecosystem services reinforce Sumatran tiger conservation in land use plans | * | * | * |
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Document Status
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Peer reviewed and published | * | * | * |
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Comments on Status
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Published journal manuscript | * | * | * |
Software and Access (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
| https://www.naturalcapitalproject.org/invest/ | * | * | * | |
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Contact Name
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Nirmal K. Bhagabati | * | * | * |
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Contact Address
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The Nature Conservancy, 1107 Laurel Avenue, Felton, CA 95018 | * | * | * |
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Contact Email
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nirmal.bhagabati@wwfus.org | * | * | * |
EM Description (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
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EM ID
em.detail.idHelp
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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Summary Description
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Please note: This ESML entry describes a specific, published application of an InVEST model. Different versions (e.g. different tiers) or more recent versions of this model may be available at the InVEST website. ABSTRACT: "...Here we use simple spatial analyses on readily available datasets to compare the distribution of five ecosystem services with tiger habitat in central Sumatra. We assessed services and habitat in 2008 and the changes in these variables under two future scenarios: a conservation-friendly Green Vision, and a Spatial Plan developed by the Indonesian government..." AUTHOR'S DESCRIPTION: "We used a modeling tool, InVEST (Integrated Valuation of Environmental Services and Tradeoffs version 1.004; Tallis et al., 2010), to map and quantify tiger habitat quality and five ecosystem services. InVEST maps ecosystem services and the quality of species habitat as production functions of LULC using simple biophysical models. Models were parameterized using data from regional agencies, literature surveys, global databases, site visits and prior field experience (Table 1)... We mapped biomass carbon by assigning carbon values (in ton ha_1) for aboveground, belowground, and dead organic matter to each LULC class based on values from literature, as described in Tallis et al. (2010). We mapped soil carbon separately, as large quantities of carbon are stored in peat soil (Page et al., 2011). We estimated total losses in peat carbon over 50 years into the future scenarios, using reported annual emission rates for specific LULC transitions on peat (Uryu et al., 2008)...Although InVEST reports ecosystem services in biophysical units, its simple models are best suited to understanding broad patterns of spatial variation (Tallis and Polasky, 2011), rather than for precise quantification. Additionally, we lacked field measurements against which to calibrate our outputs. Therefore, we focused on relative spatial distribution across the landscape, and relative change to scenarios." | Please note: This ESML entry describes a specific, published application of an InVEST model. Different versions (e.g. different tiers) or more recent versions of this model may be available at the InVEST website. ABSTRACT: "Here we use simple spatial analyses on readily available datasets to compare the distribution of five ecosystem services with tiger habitat in central Sumatra. We assessed services and habitat in 2008" AUTHOR'S DESCRIPTION: "We used a modeling tool, InVEST (Integrated Valuation of Environmental Services and Tradeoffs version 1.004; Tallis et al., 2010), to map and quantify tiger habitat quality and five ecosystem services. InVEST maps ecosystem services and the quality of species habitat as production functions of LULC using simple biophysical models. Models were parameterized using data from regional agencies, literature surveys, global databases, site visits and prior field experience (Table 1)... We mapped biomass carbon by assigning carbon values (in ton ha_1) for aboveground, belowground, and dead organic matter to each LULC class based on values from literature, as described in Tallis et al. (2010). We mapped soil carbon separately, as large quantities of carbon are stored in peat soil (Page et al., 2011). We estimated total losses in peat carbon over 50 years into the future scenarios, using reported annual emission rates for specific LULC transitions on peat (Uryu et al., 2008)...Although InVEST reports ecosystem services in biophysical units, its simple models are best suited to understanding broad patterns of spatial variation (Tallis and Polasky, 2011), rather than for precise quantification. Additionally, we lacked field measurements against which to calibrate our outputs. Therefore, we focused on relative spatial distribution across the landscape, and relative change to scenarios." | Please note: This ESML entry describes a specific, published application of an InVEST model. Different versions (e.g. different tiers) or more recent versions of this model may be available at the InVEST website. ABSTRACT: "Here we use simple spatial analyses on readily available datasets to compare the distribution of five ecosystem services with tiger habitat in central Sumatra. We assessed services and habitat in 2008 and the changes in these variables under two future scenarios: a conservation-friendly Green Vision, and a Spatial Plan developed by the Indonesian government..." AUTHOR'S DESCRIPTION: "We used a modeling tool, InVEST (Integrated Valuation of Environmental Services and Tradeoffs version 1.004; Tallis et al., 2010), to map and quantify tiger habitat quality and five ecosystem services. InVEST maps ecosystem services and the quality of species habitat as production functions of LULC using simple biophysical models. Models were parameterized using data from regional agencies, literature surveys, global databases, site visits and prior field experience (Table 1)... We mapped biomass carbon by assigning carbon values (in ton ha_1) for aboveground, belowground, and dead organic matter to each LULC class based on values from literature, as described in Tallis et al. (2010). We mapped soil carbon separately, as large quantities of carbon are stored in peat soil (Page et al., 2011). We estimated total losses in peat carbon over 50 years into the future scenarios, using reported annual emission rates for specific LULC transitions on peat (Uryu et al., 2008)...Although InVEST reports ecosystem services in biophysical units, its simple models are best suited to understanding broad patterns of spatial variation (Tallis and Polasky, 2011), rather than for precise quantification. Additionally, we lacked field measurements against which to calibrate our outputs. Therefore, we focused on relative spatial distribution across the landscape, and relative change to scenarios." | Please note: This ESML entry describes a specific, published application of an InVEST model. Different versions (e.g. different tiers) or more recent versions of this model may be available at the InVEST website. ABSTRACT: "Here we use simple spatial analyses on readily available datasets to compare the distribution of five ecosystem services with tiger habitat in central Sumatra. We assessed services and habitat in 2008 and the changes in these variables under two future scenarios: a conservation-friendly Green Vision, and a Spatial Plan developed by the Indonesian government..." AUTHOR'S DESCRIPTION: "We used a modeling tool, InVEST (Integrated Valuation of Environmental Services and Tradeoffs version 1.004; Tallis et al., 2010), to map and quantify tiger habitat quality and five ecosystem services. InVEST maps ecosystem services and the quality of species habitat as production functions of LULC using simple biophysical models. Models were parameterized using data from regional agencies, literature surveys, global databases, site visits and prior field experience (Table 1)... We mapped biomass carbon by assigning carbon values (in ton ha_1) for aboveground, belowground, and dead organic matter to each LULC class based on values from literature, as described in Tallis et al. (2010). We mapped soil carbon separately, as large quantities of carbon are stored in peat soil (Page et al., 2011). We estimated total losses in peat carbon over 50 years into the future scenarios, using reported annual emission rates for specific LULC transitions on peat (Uryu et al., 2008)...Although InVEST reports ecosystem services in biophysical units, its simple models are best suited to understanding broad patterns of spatial variation (Tallis and Polasky, 2011), rather than for precise quantification. Additionally, we lacked field measurements against which to calibrate our outputs. Therefore, we focused on relative spatial distribution across the landscape, and relative change to scenarios." |
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Specific Policy or Decision Context Cited
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This analysis provided input to government-led spatial planning and strategic environmental assessments in the study area. This region contains some of the last remaining forest habitat of the critically endangered Sumatran tiger, Panthera tigris sumatrae. | * | * | * |
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Biophysical Context
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Six watersheds in central Sumatra covering portions of Riau, Jambi and West Sumatra provinces. The Barisan mountain range comprises the western edge of the watersheds, while peat swamps predominate in the east. | * | * | * |
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EM Scenario Drivers
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Baseline year 2008, future LULC Sumatra 2020 Roadmap (Vision), future LULC Government Spatial Plan | * | * | * |
EM Relationship to Other EMs or Applications
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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Method Only, Application of Method or Model Run
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Method + Application (multiple runs exist) | Model Run Associated with a Specific EM Application | Model Run Associated with a Specific EM Application | Model Run Associated with a Specific EM Application |
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New or Pre-existing EM?
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Application of existing model | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
Related EMs (for example, other versions or derivations of this EM) described in ESML
em.detail.relatedEmHelp
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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Document ID for related EM
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Doc-315 | None | None | None |
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EM ID for related EM
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EM-374 | None | None | None |
EM Modeling Approach
EM Relationship to Time (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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EM Temporal Extent
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2008-2020 | 2008 | * | * |
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EM Time Dependence
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time-stationary | * | * | * |
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EM Time Reference (Future/Past)
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Not applicable | * | * | * |
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EM Time Continuity
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Not applicable | * | * | * |
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EM Temporal Grain Size Value
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Not applicable | * | * | * |
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EM Temporal Grain Size Unit
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Not applicable | * | * | * |
EM spatial extent (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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Bounding Type
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Watershed/Catchment/HUC | * | * | * |
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Spatial Extent Name
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central Sumatra | * | * | * |
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Spatial Extent Area (Magnitude)
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100,000-1,000,000 km^2 | * | * | * |
Spatial Distribution of Computations (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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EM Spatial Distribution
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spatially distributed (in at least some cases) | * | * | * |
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Spatial Grain Type
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area, for pixel or radial feature | * | * | * |
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Spatial Grain Size
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30 m x 30 m | * | * | * |
EM Structure and Computation Approach (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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EM Computational Approach
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Analytic | * | * | * |
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EM Determinism
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deterministic | * | * | * |
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Statistical Estimation of EM
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* | * | * |
Model Checking Procedures Used (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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Model Calibration Reported?
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No | * | * | * |
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Model Goodness of Fit Reported?
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No | * | * | * |
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Goodness of Fit (metric| value | unit)
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None | * | * | * |
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Model Operational Validation Reported?
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No | * | * | * |
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Model Uncertainty Analysis Reported?
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No | * | * | * |
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Model Sensitivity Analysis Reported?
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No | * | * | * |
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Model Sensitivity Analysis Include Interactions?
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Not applicable | * | * | * |
EM Locations, Environments, Ecology
Location of EM Application (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
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| EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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* | * | * |
Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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| EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
| None | * | * | * |
Centroid Lat/Long (Decimal Degree)
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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Centroid Latitude
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0 | * | * | * |
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Centroid Longitude
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102 | * | * | * |
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Centroid Datum
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WGS84 | * | * | * |
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Centroid Coordinates Status
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Provided | * | * | * |
Environments and Scales Modeled (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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EM Environmental Sub-Class
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Inland Wetlands | Lakes and Ponds | Forests | Agroecosystems | Created Greenspace | Grasslands | Scrubland/Shrubland | Barren | * | * | * |
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Specific Environment Type
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104 land use land cover classes | 89 land use land cover classes | * | * |
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EM Ecological Scale
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Ecological scale is finer than that of the Environmental Sub-class | * | * | * |
Organisms modeled (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
Scale of differentiation of organisms modeled
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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EM Organismal Scale
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Community | * | * | * |
Taxonomic level and name of organisms or groups identified
taxonomyHelp
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| EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
| None Available | * | * | * |
EnviroAtlas URL
em.detail.enviroAtlasURLHelp
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| EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
| The Watershed Boundary Dataset (WBD) | None Available | None Available | None Available |
EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
* Note that run information is shown only where run data differ from the "parent" entry shown at left
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
em.detail.cicesHelp
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| EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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* | * | * |
(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
fegs2Help
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| EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
| None | * | * | * |
EM Variable Names (and Units)
* Note that for runs, variable name is displayed only where data for that variable differed by run AND those differences were reported in the source document. Where differences occurred but were not reported, the variable is not listed. Click on variable name to view details.
Predictor
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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Driving Variables (and Units)
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Constant or Factor Variables (and Units)
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Intermediate
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EM ID
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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Intermediate (Computed) Variables (and Units)
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None | * | * | * |
Response
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EM ID
em.detail.idHelp
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EM-349 | Run -Baseline year 2008 | Run - Future LULC Sumatra 2020 Roadmap (Vision) | Run - Future LULC Government Spatial Plan |
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Observed Response Variables (and Units)
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None | * | * | * |
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Computed Response Variables (and Units)
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