EcoService Models Library (ESML)
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EM: Artificial Intelligence for Ecosystem Services (ARIES); Sediment regulation, Santa Fe, New Mexico (EM-860)
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EM Identity and Description
EM Identification
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EM ID
em.detail.idHelp
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EM-860 |
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EM Short Name
em.detail.shortNameHelp
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ARIES Sediment regulation, Santa Fe, NM |
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EM Full Name
em.detail.fullNameHelp
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Artificial Intelligence for Ecosystem Services (ARIES); Sediment regulation, Santa Fe, New Mexico |
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EM Source or Collection
em.detail.emSourceOrCollectionHelp
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None |
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EM Source Document ID
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411 |
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Document Author
em.detail.documentAuthorHelp
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Martinez-Lopez, J.M., Bagstad, K.J., Balbi, S., Magrach, A., Voigt, B. Athanasiadis, I., Pascual, M., Willcock, S., and F. Villa. |
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Document Year
em.detail.documentYearHelp
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2018 |
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Document Title
em.detail.sourceIdHelp
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Towards globally customizable ecosystem service models |
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Document Status
em.detail.statusCategoryHelp
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Peer reviewed and published |
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Comments on Status
em.detail.commentsOnStatusHelp
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Published journal manuscript |
Software and Access
https://integratedmodelling.org/hub/#/register ?Comment:Need to set up an account first and then can access the main integrated modelling hub page: |
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Contact Name
em.detail.contactNameHelp
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Javier Martinez-Lopez |
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Contact Address
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BC3-Basque Centre for Climate Change, Sede Building 1, 1st floor, Scientific Campus of the Univ. of the Basque Country, 48940 Leioa, Spain |
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Contact Email
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javier.martinez@bc3research.org |
EM Description
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Summary Description
em.detail.summaryDescriptionHelp
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ABSTRACT: "Scientists, stakeholders and decision makers face trade-offs between adopting simple or complex approaches when modeling ecosystem services (ES). Complex approaches may be time- and data-intensive, making them more challenging to implement and difficult to scale, but can produce more accurate and locally specific results. In contrast, simple approaches allow for faster assessments but may sacrifice accuracy and credibility. The Artificial Intelligence for Ecosystem Services (ARIES) modeling platform has endeavored to provide a spectrum of simple to complex ES models that are readily accessible to a broad range of users. In this paper, we describe a series of five “Tier 1” ES models that users can run anywhere in the world with no user input, while offering the option to easily customize models with context-specific data and parameters. This approach enables rapid ES quantification, as models are automatically adapted to the application context. We provide examples of customized ES assessments at three locations on different continents and demonstrate the use of ARIES' spatial multicriteria analysis module, which enables spatial prioritization of ES for different beneficiary groups. The models described here use publicly available global- and continental-scale data as defaults. Advanced users can modify data input requirements, model parameters or entire model structures to capitalize on high-resolution data and context-specific model formulations. Data and methods contributed by the research community become part of a growing knowledge base, enabling faster and better ES assessment for users worldwide. By engaging with the ES modeling community to further develop and customize these models based on user needs, spatiotemporal contexts, and scale(s) of analysis, we aim to cover the full arc from simple to complex assessments, minimizing the additional cost to the user when increased complexity and accuracy are needed. " |
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Specific Policy or Decision Context Cited
em.detail.policyDecisionContextHelp
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None identified |
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Biophysical Context
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Watersheds surrounding Santa Fe and Albuquerque, New Mexico |
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EM Scenario Drivers
em.detail.scenarioDriverHelp
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N/A |
EM Relationship to Other EMs or Applications
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Method Only, Application of Method or Model Run
em.detail.methodOrAppHelp
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Method + Application |
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New or Pre-existing EM?
em.detail.newOrExistHelp
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Application of existing model |
Related EMs (for example, other versions or derivations of this EM) described in ESML
em.detail.relatedEmHelp
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Document ID for related EM
em.detail.relatedEmDocumentIdHelp
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Doc-411 |
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EM ID for related EM
em.detail.relatedEmEmIdHelp
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None |
EM Modeling Approach
EM Relationship to Time
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EM Temporal Extent
em.detail.tempExtentHelp
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2011 |
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EM Time Dependence
em.detail.timeDependencyHelp
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time-stationary |
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EM Time Reference (Future/Past)
em.detail.futurePastHelp
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Not applicable |
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EM Time Continuity
em.detail.continueDiscreteHelp
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Not applicable |
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EM Temporal Grain Size Value
em.detail.tempGrainSizeHelp
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Not applicable |
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EM Temporal Grain Size Unit
em.detail.tempGrainSizeUnitHelp
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Not applicable |
EM Spatial Extent
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Bounding Type
em.detail.boundingTypeHelp
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Watershed/Catchment/HUC |
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Spatial Extent Name
em.detail.extentNameHelp
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Santa Fe Fireshed |
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Spatial Extent Area (Magnitude)
em.detail.extentAreaHelp
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100-1000 km^2 |
Spatial Distribution of Computations
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EM Spatial Distribution
em.detail.distributeLumpHelp
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spatially distributed (in at least some cases) |
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Spatial Grain Type
em.detail.spGrainTypeHelp
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area, for pixel or radial feature |
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Spatial Grain Size
em.detail.spGrainSizeHelp
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30 m |
EM Structure and Computation Approach
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EM Computational Approach
em.detail.emComputationalApproachHelp
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Analytic |
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EM Determinism
em.detail.deterStochHelp
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deterministic |
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Statistical Estimation of EM
em.detail.statisticalEstimationHelp
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Model Checking Procedures Used
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Model Calibration Reported?
em.detail.calibrationHelp
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Unclear |
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Model Goodness of Fit Reported?
em.detail.goodnessFitHelp
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No |
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Goodness of Fit (metric| value | unit)
em.detail.goodnessFitValuesHelp
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None |
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Model Operational Validation Reported?
em.detail.validationHelp
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No |
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Model Uncertainty Analysis Reported?
em.detail.uncertaintyAnalysisHelp
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No |
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Model Sensitivity Analysis Reported?
em.detail.sensAnalysisHelp
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No |
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Model Sensitivity Analysis Include Interactions?
em.detail.interactionConsiderHelp
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Not applicable |
EM Locations, Environments, Ecology
Location of EM Application
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
em.detail.relationToSpaceTerrestrialHelp
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Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
em.detail.relationToSpaceMarineHelp
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| None |
Centroid Lat/Long (Decimal Degree)
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Centroid Latitude
em.detail.ddLatHelp
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35.86 |
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Centroid Longitude
em.detail.ddLongHelp
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-105.76 |
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Centroid Datum
em.detail.datumHelp
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WGS84 |
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Centroid Coordinates Status
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Estimated |
Environments and Scales Modeled
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EM Environmental Sub-Class
em.detail.emEnvironmentalSubclassHelp
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Terrestrial Environment (sub-classes not fully specified) |
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Specific Environment Type
em.detail.specificEnvTypeHelp
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watersheds |
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EM Ecological Scale
em.detail.ecoScaleHelp
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Ecological scale corresponds to the Environmental Sub-class |
Scale and taxa of organisms modeled
Scale of differentiation of organisms modeled
em.detail.nameOfOrgsOrGroupsHelp
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EM Organismal Scale
em.detail.orgScaleHelp
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Not applicable |
Taxonomic level and name of organisms or groups identified
taxonomyHelp
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| None Available |
EnviroAtlas URL
em.detail.enviroAtlasURLHelp
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| None Available |
EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
em.detail.cicesHelp
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(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
fegs2Help
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| None |
EM Variable Names (and Units)
Predictor
em.detail.variablesPredictorHelp
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Driving Variables (and Units)
view details (8 variables)
em.detail.drivingVariableHelp
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Constant or Factor Variables (and Units)
view details (2 variables)
em.detail.constantFactorVariableHelp
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Intermediate
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Intermediate (Computed) Variables (and Units)
view details (1 variable)
em.detail.intermediateVariableHelp
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Response
em.detail.variablesResponseHelp
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Observed Response Variables (and Units)
em.detail.observedResponseHelp
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None |
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Computed Response Variables (and Units)
view details (3 variables)
em.detail.computedResponseHelp
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