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EM: Value of recreational use of an estuary, Cape Cod, Massachusetts (EM-683)
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EM Identity and Description
EM Identification
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EM ID
em.detail.idHelp
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EM-683 |
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EM Short Name
em.detail.shortNameHelp
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Estuary visitation, Cape Cod, MA |
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EM Full Name
em.detail.fullNameHelp
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Value of recreational use of an estuary, Cape Cod, Massachusetts |
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EM Source or Collection
em.detail.emSourceOrCollectionHelp
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US EPA |
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EM Source Document ID
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387 |
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Document Author
em.detail.documentAuthorHelp
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Mulvaney, K K., Atkinson, S.F., Merrill, N.H., Twichell, J.H., and M.J. Mazzotta |
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Document Year
em.detail.documentYearHelp
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2019 |
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Document Title
em.detail.sourceIdHelp
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Quantifying Recreational Use of an Estuary: A case study of three bays, Cape Cod, USA |
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Document Status
em.detail.statusCategoryHelp
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Peer reviewed but unpublished (explain in Comment) |
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Comments on Status
em.detail.commentsOnStatusHelp
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Draft manuscript-work progressing |
Software and Access
| Not applicable | |
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Contact Name
em.detail.contactNameHelp
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Mulvaney, Kate |
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Contact Address
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US EPA, ORD, NHEERL, Atlantic Ecology Division, Narragansett, RI |
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Contact Email
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None reported |
EM Description
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Summary Description
em.detail.summaryDescriptionHelp
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[ABSTRACT: "Estimates of the types and number of recreational users visiting an estuary are critical data for quantifying the value of recreation and how that value might change with variations in water quality or other management decisions. However, estimates of recreational use are minimal and conventional intercept surveys methods are often infeasible for widespread application to estuaries. Therefore, a practical observational sampling approach was developed to quantify the recreational use of an estuary without the use of surveys. Designed to be simple and fast to allow for replication, the methods involved the use of periodic instantaneous car counts multiplied by extrapolation factors derived from all-day counts. This simple sampling approach can be used to estimate visitation to diverse types of access points on an estuary in a single day as well as across multiple days. Evaluation of this method showed that when periodic counts were taken within a preferred time window (from 11am-4:30pm), the estimates were within 44 percent of actual daily visitation. These methods were applied to the Three Bays estuary system on Cape Cod, USA. The estimated combined use across all its public access sites is similar to the use at a mid-sized coastal beach, demonstrating the value of estuarine systems. Further, this study is the first to quantify the variety and magnitude of recreational uses at several different types of access points throughout the estuary using observational methods. This work can be transferred to the many small coastal access points used for recreation across New England and beyond." ] |
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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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None identified |
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EM Scenario Drivers
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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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New or revised 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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None |
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EM ID for related EM
em.detail.relatedEmEmIdHelp
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EM-682 | EM-684 | EM-685 |
EM Modeling Approach
EM Relationship to Time
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EM Temporal Extent
em.detail.tempExtentHelp
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Summer 2017 |
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EM Time Dependence
em.detail.timeDependencyHelp
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time-dependent |
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EM Time Reference (Future/Past)
em.detail.futurePastHelp
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past time |
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EM Time Continuity
em.detail.continueDiscreteHelp
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discrete |
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EM Temporal Grain Size Value
em.detail.tempGrainSizeHelp
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1 |
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EM Temporal Grain Size Unit
em.detail.tempGrainSizeUnitHelp
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Day |
EM Spatial Extent
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Bounding Type
em.detail.boundingTypeHelp
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Physiographic or ecological |
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Spatial Extent Name
em.detail.extentNameHelp
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Three Bays, Cape Cod |
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Spatial Extent Area (Magnitude)
em.detail.extentAreaHelp
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1000-10,000 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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length, for linear feature (e.g., stream mile) |
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Spatial Grain Size
em.detail.spGrainSizeHelp
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beach length |
EM Structure and Computation Approach
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EM Computational Approach
em.detail.emComputationalApproachHelp
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Numeric |
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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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Yes |
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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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| None |
Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
em.detail.relationToSpaceMarineHelp
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Centroid Lat/Long (Decimal Degree)
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Centroid Latitude
em.detail.ddLatHelp
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41.62 |
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Centroid Longitude
em.detail.ddLongHelp
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-70.42 |
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Centroid Datum
em.detail.datumHelp
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WGS84 |
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Centroid Coordinates Status
em.detail.coordinateStatusHelp
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Estimated |
Environments and Scales Modeled
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EM Environmental Sub-Class
em.detail.emEnvironmentalSubclassHelp
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Near Coastal Marine and Estuarine |
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Specific Environment Type
em.detail.specificEnvTypeHelp
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Beaches |
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EM Ecological Scale
em.detail.ecoScaleHelp
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Ecological scale is finer than that of 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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EM Variable Names (and Units)
Predictor
em.detail.variablesPredictorHelp
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Driving Variables (and Units)
view details (4 variables)
em.detail.drivingVariableHelp
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Constant or Factor Variables (and Units)
view details (4 variables)
em.detail.constantFactorVariableHelp
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Intermediate
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Intermediate (Computed) Variables (and Units)
view details (4 variables)
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 (4 variables)
em.detail.computedResponseHelp
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