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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 em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
EM Short Name em.detail.shortNameHelp ?	Fish species habitat value, Tampa Bay, FL, USA	*	*	*
EM Full Name em.detail.fullNameHelp ?	Fish species habitat value, Tampa Bay, FL, USA	*	*	*
EM Source or Collection em.detail.emSourceOrCollectionHelp ?	US EPA	*	*	*
EM Source Document ID	187	*	*	*
Document Author em.detail.documentAuthorHelp ?	Fulford, R., Yoskowitz, D., Russell, M., Dantin, D., and Rogers, J.	*	*	*
Document Year em.detail.documentYearHelp ?	2016	*	*	*
Document Title em.detail.sourceIdHelp ?	Habitat and recreational fishing opportunity in Tampa Bay: Linking ecological and ecosystem services to human beneficiaries	*	*	*
Document Status em.detail.statusCategoryHelp ?	Peer reviewed and published	*	*	*
Comments on Status em.detail.commentsOnStatusHelp ?	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 em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
EM Software Access info Exit em.detail.modelAccessInformationHelp ?	Not applicable	*	*	*
Contact Name em.detail.contactNameHelp ?	Richard Fulford	*	*	*
Contact Address	USEPA Gulf Ecology Division, Gulf Breeze, FL 32561	*	*	*
Contact Email	Fulford.Richard@epa.gov	*	*	*

EM Description (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Summary Description em.detail.summaryDescriptionHelp ?	ABSTRACT: "Estimating value of estuarine habitat to human beneficiaries requires that we understand how habitat alteration impacts function through both production and delivery of ecosystem goods and services (EGS). Here we expand on the habitat valuation technique of Bell (1997) with an estimate of recreational angler willingness-to-pay combined with estimates of angler effort, fish population size, and fish and angler distribution. Results suggest species-specific fishery value is impacted by angler interest and stock status, as the most targeted fish (spotted seatrout) did not have the highest specific value (fish−1). Reduced population size and higher size at capture resulted in higher specific value for common snook. Habitat value estimated from recreational fishing value and fish-angler distributions supported an association between seagrass and habitat value, yet this relationship was also impacted by distance to access points. This analysis does not provide complete valuation of habitat as it considers only one service (fishing), but demonstrates a methodology to consider functional equivalency of all habitat features as a part of a habitat mosaic rather than in isolation, as well as how to consider both EGS production and delivery to humans (e.g., anglers) in any habitat valuation, which are critical for a transition to ecosystem management."	ABSTRACT: "Estimating the value of estuarine habitat to human beneficiaries is complicated by understanding how habitat change impacts both the production and delivery of ecosystem goods and services (EGS). Moreover, reductions in total area of critical habitat, as well as redistribution of habitat composition can affect EGS production and delivery and a functional estimate of human impact requires a holistic understanding of habitat change. Here we expand on the habitat valuation technique of Bell (1997) by using recreational fishing as a method for assigning value to estuarine habitat in Tampla Bay, FL USA. This approach involves an estimate of angler willingness to pay combined with estimates of total angler effort by species and season, estimates of total fish population size and biomass by species, and data on fish distribution by species and season. These data are them combined with an estimate of angler visitation to habitat features to include service delivery in the habitat value estimate. The resulting valuation suggests that total fishery value for a species is impacted by angler interest and stock status, as the most popular fish (Spotted Seatrout) did not have the highest specific value (fish-1). Reduced population size and higher size at capture resulted in a higher specific value for Common Snook. Habitat value estimated from recreational fishing value, fish distribtuions, and angler behavior indicated a strong association between seagrass and habitat value, yet this relationship was also impacted by distance to an access point as there were several examples of seagrass beds not highly valued for recreational fishing. This analysis does not provide a complete valuation of habitat as it considers only one service (fishing), but this exercise demonstrates the need to consider all habitat features as a part of the holistic habitat mosaic rather than in isolation, as well as the importance of considering both EGS production and delivery to humans (e.g., anglers) as a part of any habitat valuation that is intended to inform ecosystem management."	ABSTRACT: "Estimating the value of estuarine habitat to human beneficiaries is complicated by understanding how habitat change impacts both the production and delivery of ecosystem goods and services (EGS). Moreover, reductions in total area of critical habitat, as well as redistribution of habitat composition can affect EGS production and delivery and a functional estimate of human impact requires a holistic understanding of habitat change. Here we expand on the habitat valuation technique of Bell (1997) by using recreational fishing as a method for assigning value to estuarine habitat in Tampla Bay, FL USA. This approach involves an estimate of angler willingness to pay combined with estimates of total angler effort by species and season, estimates of total fish population size and biomass by species, and data on fish distribution by species and season. These data are them combined with an estimate of angler visitation to habitat features to include service delivery in the habitat value estimate. The resulting valuation suggests that total fishery value for a species is impacted by angler interest and stock status, as the most popular fish (Spotted Seatrout) did not have the highest specific value (fish-1). Reduced population size and higher size at capture resulted in a higher specific value for Common Snook. Habitat value estimated from recreational fishing value, fish distribtuions, and angler behavior indicated a strong association between seagrass and habitat value, yet this relationship was also impacted by distance to an access point as there were several examples of seagrass beds not highly valued for recreational fishing. This analysis does not provide a complete valuation of habitat as it considers only one service (fishing), but this exercise demonstrates the need to consider all habitat features as a part of the holistic habitat mosaic rather than in isolation, as well as the importance of considering both EGS production and delivery to humans (e.g., anglers) as a part of any habitat valuation that is intended to inform ecosystem management."	ABSTRACT: "Estimating the value of estuarine habitat to human beneficiaries is complicated by understanding how habitat change impacts both the production and delivery of ecosystem goods and services (EGS). Moreover, reductions in total area of critical habitat, as well as redistribution of habitat composition can affect EGS production and delivery and a functional estimate of human impact requires a holistic understanding of habitat change. Here we expand on the habitat valuation technique of Bell (1997) by using recreational fishing as a method for assigning value to estuarine habitat in Tampla Bay, FL USA. This approach involves an estimate of angler willingness to pay combined with estimates of total angler effort by species and season, estimates of total fish population size and biomass by species, and data on fish distribution by species and season. These data are them combined with an estimate of angler visitation to habitat features to include service delivery in the habitat value estimate. The resulting valuation suggests that total fishery value for a species is impacted by angler interest and stock status, as the most popular fish (Spotted Seatrout) did not have the highest specific value (fish-1). Reduced population size and higher size at capture resulted in a higher specific value for Common Snook. Habitat value estimated from recreational fishing value, fish distribtuions, and angler behavior indicated a strong association between seagrass and habitat value, yet this relationship was also impacted by distance to an access point as there were several examples of seagrass beds not highly valued for recreational fishing. This analysis does not provide a complete valuation of habitat as it considers only one service (fishing), but this exercise demonstrates the need to consider all habitat features as a part of the holistic habitat mosaic rather than in isolation, as well as the importance of considering both EGS production and delivery to humans (e.g., anglers) as a part of any habitat valuation that is intended to inform ecosystem management."
Specific Policy or Decision Context Cited em.detail.policyDecisionContextHelp ?	None identifed	None identified	None identified	None identified
Biophysical Context	shallow bay (mean 3.7m), transition zone between warm temperate and tropical biogeographic provinces. Highly urbanized watershed	Tampa Bay, saltmarsh, seagrass	Tampa Bay, seagrass, salt marsh	Tampa Bay, seagrass, saltmarsh
EM Scenario Drivers em.detail.scenarioDriverHelp ?	No scenarios presented	*	*	*

EM Relationship to Other EMs or Applications

EM ID em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Method Only, Application of Method or Model Run em.detail.methodOrAppHelp ?	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? em.detail.newOrExistHelp ?	New or revised model	Run - Sheepshead	Run - Snook	Run - Spotted seatrout

Related EMs (for example, other versions or derivations of this EM) described in ESML

EM ID em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Document ID for related EM em.detail.relatedEmDocumentIdHelp ?	None	None	None	None
EM ID for related EM em.detail.relatedEmEmIdHelp ?	None	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 em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
EM Temporal Extent em.detail.tempExtentHelp ?	2006-2011	*	*	*
EM Time Dependence em.detail.timeDependencyHelp ?	time-stationary	*	*	*
EM Time Reference (Future/Past) em.detail.futurePastHelp ?	Not applicable	*	*	*
EM Time Continuity em.detail.continueDiscreteHelp ?	Not applicable	*	*	*
EM Temporal Grain Size Value em.detail.tempGrainSizeHelp ?	Not applicable	*	*	*
EM Temporal Grain Size Unit em.detail.tempGrainSizeUnitHelp ?	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 em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Bounding Type em.detail.boundingTypeHelp ?	Physiographic or Ecological	*	*	*
Spatial Extent Name em.detail.extentNameHelp ?	Tampa Bay	*	*	*
Spatial Extent Area (Magnitude) em.detail.extentAreaHelp ?	1000-10,000 km^2.	*	*	*

Spatial Distribution of Computations (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
EM Spatial Distribution em.detail.distributeLumpHelp ?	spatially distributed (in at least some cases)	*	*	*
Spatial Grain Type em.detail.spGrainTypeHelp ?	area, for pixel or radial feature	*	*	*
Spatial Grain Size em.detail.spGrainSizeHelp ?	1 km^2	*	*	km^2

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 em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
EM Computational Approach em.detail.emComputationalApproachHelp ?	Analytic	Numeric	Numeric	Logic- or rule-based
EM Determinism em.detail.deterStochHelp ?	deterministic	*	*	*
Statistical Estimation of EM em.detail.statisticalEstimationHelp ?	Conventional (frequentist) statistics	*	*	*

Model Checking Procedures Used (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Model Calibration Reported? em.detail.calibrationHelp ?	No	*	*	*
Model Goodness of Fit Reported? em.detail.goodnessFitHelp ?	No	*	*	*
Goodness of Fit (metric\| value \| unit) em.detail.goodnessFitValuesHelp ?	None	*	*	*
Model Operational Validation Reported? em.detail.validationHelp ?	No	*	*	*
Model Uncertainty Analysis Reported? em.detail.uncertaintyAnalysisHelp ?	No	*	*	*
Model Sensitivity Analysis Reported? em.detail.sensAnalysisHelp ?	No	*	*	*
Model Sensitivity Analysis Include Interactions? em.detail.interactionConsiderHelp ?	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])

EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
North America United States Florida	*	*	*

Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)

EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Tropical Atlantic West Tropical Atlantic Tropical Northwestern Atlantic Floridian	*	*	*

Centroid Lat/Long (Decimal Degree)

EM ID em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Centroid Latitude em.detail.ddLatHelp ?	27.74	*	*	*
Centroid Longitude em.detail.ddLongHelp ?	-82.57	*	*	*
Centroid Datum em.detail.datumHelp ?	WGS84	*	*	*
Centroid Coordinates Status em.detail.coordinateStatusHelp ?	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 em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
EM Environmental Sub-Class em.detail.emEnvironmentalSubclassHelp ?	Near Coastal Marine and Estuarine	*	*	*
Specific Environment Type em.detail.specificEnvTypeHelp ?	Habitat Zones (Low, Med, High, Optimal) around seagrass and emergent marsh	*	*	*
EM Ecological Scale em.detail.ecoScaleHelp ?	Zone within an ecosystem	*	*	*

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

EM ID em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
EM Organismal Scale em.detail.orgScaleHelp ?	Species	*	*	*

Taxonomic level and name of organisms or groups identified

EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Species spotted seatrout (Cynoscion nebulosus)	*	*	*

EnviroAtlas URL

EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Big game hunting recreation demand	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-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
[Ecosystem] Cultural Physical and intellectual interactions with biota, ecosystems, and land-/seascapes [environmental settings] Physical and experiential interactions Experiential use of plants, animals and land-/seascapes in different environmental settings	*	*	*

National Ecosystem Services Classification System (NESCS) Plus

(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)

EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Near Coastal Marine/Estuarine (113) Fauna (4) Fish Stock Indicator	*	*	*

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.

To view run information for variables, select any variable below or view run data for all variables.

Predictor

EM ID em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Driving Variables (and Units) em.detail.drivingVariableHelp ?	Access point distance (Not reported) Directed trips per species (trips species^-1 yr^-1) Fish distribution (season, zone) (ind. km^-2) Fishery-independent catch per unit effort (ind.angler^-1*day^-1) Habitat type (benthic) (Not applicable) Mean hours fished (hours) Mean reported catch (ind angler^-1 day^-1) Species legal estimated population size (ind.) Total fish species biomass (kg)	Access point distance (Not reported) Directed trips per species (trips species^-1 yr^-1) Fish distribution (season, zone) (ind. km^-2) Fishery-independent catch per unit effort (ind.angler^-1*day^-1) Habitat type (benthic) (Not applicable) Mean hours fished (hours) Mean reported catch (ind angler^-1 day^-1) Species legal estimated population size (ind.) Total fish species biomass (kg)	Access point distance (Not reported) Directed trips per species (trips species^-1 yr^-1) Fish distribution (season, zone) (ind. km^-2) Fishery-independent catch per unit effort (ind.angler^-1*day^-1) Habitat type (benthic) (Not applicable) Mean hours fished (hours) Mean reported catch (ind angler^-1 day^-1) Species legal estimated population size (ind.) Total fish species biomass (kg)	Access point distance (Not reported) Directed trips per species (trips species^-1 yr^-1) Fish distribution (season, zone) (ind. km^-2) Fishery-independent catch per unit effort (ind.angler^-1*day^-1) Habitat type (benthic) (Not applicable) Mean hours fished (hours) Mean reported catch (ind angler^-1 day^-1) Species legal estimated population size (ind.) Total fish species biomass (kg)
Constant or Factor Variables (and Units) em.detail.constantFactorVariableHelp ?	Willingness to pay per trip ($)	Willingness to pay per trip ($)	Willingness to pay per trip ($)	Willingness to pay per trip ($)

Intermediate

EM ID em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Intermediate (Computed) Variables (and Units) em.detail.intermediateVariableHelp ?	Recreational catch per unit effort (fish hr^-1) Recreational fish biomass value ($ lb^-1 fish^-1) Recreational fish dollar value ($ fish^-1)	Recreational catch per unit effort (fish hr^-1) Recreational fish biomass value ($ lb^-1 fish^-1) Recreational fish dollar value ($ fish^-1)	Recreational catch per unit effort (fish hr^-1) Recreational fish biomass value ($ lb^-1 fish^-1) Recreational fish dollar value ($ fish^-1)	Recreational catch per unit effort (fish hr^-1) Recreational fish biomass value ($ lb^-1 fish^-1) Recreational fish dollar value ($ fish^-1)

Response

EM ID em.detail.idHelp ?	EM-102	Run - Sheepshead	Run - Snook	Run - Spotted seatrout
Observed Response Variables (and Units) em.detail.observedResponseHelp ?	None	*	*	*
Computed Response Variables (and Units) em.detail.computedResponseHelp ?	Fish habitat specific value ($ km^-2)	Sheepshead habitat specific value ($ km^-2)	Snook habitat specific value ($ km^-2)	Spotted seatrout habitat specific value ($ km^-2)

US EPA

EcoService Models Library (ESML)

View Runs

: Fish species habitat value, Tampa Bay, FL, USA (EM-102)