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: InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) habitat quality, Puli Township, Taiwan (EM-345)
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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)
EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
EM Short Name
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InVEST habitat quality, Puli Township, Taiwan | * | * | * |
EM Full Name
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InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) habitat quality, Puli Township, Taiwan | * | * | * |
EM Source or Collection
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InVEST | * | * | * |
EM Source Document ID
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308 | * | * | * |
Document Author
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Wu, C.-F., Lin, Y.-P., Chiang, L.-C. and Huang, T. | * | * | * |
Document Year
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2014 | * | * | * |
Document Title
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Assessing highway's impacts on landscape patterns and ecosystem services: A case study in Puli Township, Taiwan | * | * | * |
Document Status
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Peer reviewed and published | * | * | * |
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)
EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
https://www.naturalcapitalproject.org/invest/ | * | * | * | |
Contact Name
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Yu-Pin Lin ?Comment:Tel.: +886 2 3366 3467; fax: +866 2 2368 6980 |
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Contact Address
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Not reported | * | * | * |
Contact Email
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yplin@ntu.edu.tw | * | * | * |
EM Description (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
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: "...To assess the effects of different land-use scenarios under various agricultural and environmental conservation policy regimes, this study applies an integrated approach to analyze the effects of Highway 6 construction on Puli Township...A habitat quality assessment using the InVEST model indicates that the conservation of agricultural and forested lands improves habitat quality and preserves rare habitats…" AUTHOR'S DESCRIPTION: "In total, three land-use planning scenarios were simulated based on government policies in Taiwan’s Hillside Protection Act and Regulations on Non-Urban Land Utilization Control. The baseline planning scenario, Scenario A, allows land-use development with-out land-use controls (Appendix Fig. S2), meaning that land-use changes can occur anywhere. Scenario B is based on the Regulations on Non-Urban Land Utilization Control and the maintenance of agricultural areas, such that land-use changes cannot occur in agricultural areas. Scenario C protects agricultural land, hillsides, and naturally forested areas from development...The biodiversity evaluation module in the InVEST model assessed the degree of change in habitat quality and habitat rarity under three scenarios. In the InVEST model, habitat quality is primarily threatened by four factors: the relative impact of each threat; the relative sensitivity of each habitat type to each threat; the distance between habitats and sources of threats; as well as the relative degree to which land is legally protected..." Use of other models in conjunction with this model: Land use data for future scenarios modeled in InVEST were derived from a linear regression model of land use change, and the CLUE-S (Conversion of Land Use and its Effects at Small regional extent) model for apportioning those changes to the landscape. | 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: "...To assess the effects of different land-use scenarios under various agricultural and environmental conservation policy regimes, this study applies an integrated approach to analyze the effects of Highway 6 construction on Puli Township...A habitat quality assessment using the InVEST model indicates that the conservation of agricultural and forested lands improves habitat quality and preserves rare habitats…" AUTHOR'S DESCRIPTION: "In total, three land-use planning scenarios were simulated based on government policies in Taiwan’s Hillside Protection Act and Regulations on Non-Urban Land Utilization Control. The baseline planning scenario, Scenario A, allows land-use development without land-use controls, meaning that land-use changes can occur anywhere...The biodiversity evaluation module in the InVEST model assessed the degree of change in habitat quality and habitat rarity under three scenarios. In the InVEST model, habitat quality is primarily threatened by four factors: the relative impact of each threat; the relative sensitivity of each habitat type to each threat; the distance between habitats and sources of threats; as well as the relative degree to which land is legally protected..." Use of other models in conjunction with this model: Land use data for future scenarios modeled in InVEST were derived from a linear regression model of land use change, and the CLUE-S (Conversion of Land Use and its Effects at Small regional extent) model for apportioning those changes to the landscape. | 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: "...To assess the effects of different land-use scenarios under various agricultural and environmental conservation policy regimes, this study applies an integrated approach to analyze the effects of Highway 6 construction on Puli Township...A habitat quality assessment using the InVEST model indicates that the conservation of agricultural and forested lands improves habitat quality and preserves rare habitats…" AUTHOR'S DESCRIPTION: "In total, three land-use planning scenarios were simulated based on government policies in Taiwan’s Hillside Protection Act and Regulations on Non-Urban Land Utilization Control...Scenario B is based on the Regulations on Non-Urban Land Utilization Control and the maintenance of agricultural areas, such that land-use changes cannot occur in agricultural areas...The biodiversity evaluation module in the InVEST model assessed the degree of change in habitat quality and habitat rarity under three scenarios. In the InVEST model, habitat quality is primarily threatened by four factors: the relative impact of each threat; the relative sensitivity of each habitat type to each threat; the distance between habitats and sources of threats; as well as the relative degree to which land is legally protected..." Use of other models in conjunction with this model: Land use data for future scenarios modeled in InVEST were derived from a linear regression model of land use change, and the CLUE-S (Conversion of Land Use and its Effects at Small regional extent) model for apportioning those changes to the landscape. | 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: "...To assess the effects of different land-use scenarios under various agricultural and environmental conservation policy regimes, this study applies an integrated approach to analyze the effects of Highway 6 construction on Puli Township...A habitat quality assessment using the InVEST model indicates that the conservation of agricultural and forested lands improves habitat quality and preserves rare habitats…" AUTHOR'S DESCRIPTION: "In total, three land-use planning scenarios were simulated based on government policies in Taiwan’s Hillside Protection Act and Regulations on Non-Urban Land Utilization Control…Scenario C protects agricultural land, hillsides, and naturally forested areas from development...The biodiversity evaluation module in the InVEST model assessed the degree of change in habitat quality and habitat rarity under three scenarios. In the InVEST model, habitat quality is primarily threatened by four factors: the relative impact of each threat; the relative sensitivity of each habitat type to each threat; the distance between habitats and sources of threats; as well as the relative degree to which land is legally protected..." Use of other models in conjunction with this model: Land use data for future scenarios modeled in InVEST were derived from a linear regression model of land use change, and the CLUE-S (Conversion of Land Use and its Effects at Small regional extent) model for apportioning those changes to the landscape. |
Specific Policy or Decision Context Cited
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Environmental effects of Highway 6 construction on Puli Township, Taiwan | * | * | * |
Biophysical Context
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26% of the land area is categorized as plain and the remaining 74% is categorized as hilly with elevations of 380-700 m. Predominant land classes are forested (47.4%), cultivated (31.8%), and built-up (14.5%). Average annual rainfall is 2120 mm, and average annual temperature is 21°C. The soil in the eastern portion of the basin is primarily clay, and primarily loess elsewhere. | * | * | * |
EM Scenario Drivers
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Three scenarios; baseline planning (A, without land-use controls), scenario B based on maintenance of agriculture, scenario C protects agriculture, hillsides and naturally forested areas. | * | * | * |
EM Relationship to Other EMs or Applications
EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
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 |
New or Pre-existing EM?
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Application of existing model | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
Related EMs (for example, other versions or derivations of this EM) described in ESML
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EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
Document ID for related EM
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Doc-278 | Doc-278 | Doc-278 | Doc-278 |
EM ID for related EM
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EM-143 | 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)
EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
EM Temporal Extent
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2010-2025 | * | * | * |
EM Time Dependence
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time-stationary | * | * | * |
EM Time Reference (Future/Past)
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Not applicable | * | * | * |
EM Time Continuity
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Not applicable | * | * | * |
EM Temporal Grain Size Value
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Not applicable | * | * | * |
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)
EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
Bounding Type
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Geopolitical | * | * | * |
Spatial Extent Name
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Puli Township, Nantou County | * | * | * |
Spatial Extent Area (Magnitude)
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100-1000 km^2 | * | * | * |
Spatial Distribution of Computations (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
EM Spatial Distribution
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spatially distributed (in at least some cases) | * | * | * |
Spatial Grain Type
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area, for pixel or radial feature | * | * | * |
Spatial Grain Size
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40 m x 40 m | * | * | * |
EM Structure and Computation Approach (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
EM Computational Approach
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Analytic | * | * | * |
EM Determinism
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deterministic | * | * | * |
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)
EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
Model Calibration Reported?
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Unclear | * | * | * |
Model Goodness of Fit Reported?
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Not applicable | * | * | * |
Goodness of Fit (metric| value | unit)
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None | * | * | * |
Model Operational Validation Reported?
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Not applicable | * | * | * |
Model Uncertainty Analysis Reported?
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No | * | * | * |
Model Sensitivity Analysis Reported?
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No | * | * | * |
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-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
Comment:Taiwan |
* ?Comment:Taiwan |
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Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
None | * | * | * |
Centroid Lat/Long (Decimal Degree)
EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
Centroid Latitude
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23.98 | * | * | * |
Centroid Longitude
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120.96 | * | * | * |
Centroid Datum
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WGS84 | * | * | * |
Centroid Coordinates Status
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Estimated | * | * | * |
Environments and Scales Modeled (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
EM Environmental Sub-Class
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Rivers and Streams | Lakes and Ponds | Forests | Agroecosystems | Created Greenspace | Grasslands | * | * | * |
Specific Environment Type
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Predominantly an agricultural area with associated forest land | * | * | * |
EM Ecological Scale
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Ecological scale corresponds to 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-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
EM Organismal Scale
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Community | * | * | * |
Taxonomic level and name of organisms or groups identified
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
None Available | * | * | * |
EnviroAtlas URL
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
Percent GAP Status 1 & 2 | 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)
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
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(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
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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-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
Driving Variables (and Units)
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Constant or Factor Variables (and Units)
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Intermediate
EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
Intermediate (Computed) Variables (and Units)
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None | * | * | * |
Response
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EM ID
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EM-345 | Run -Scenario A, baseline planning without land-use controls | Run -Scenario B, based on maintenance of agriculture | Run - Scenario C, protects agriculture, hillsides and naturally forested areas. |
Observed Response Variables (and Units)
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None | * | * | * |
Computed Response Variables (and Units)
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