EcoService Models Library (ESML)
Home
Search EMs
My
EMs 
Learn about
ESML
View ESML Data Maploading
EM: Fish Species Richness, Buck Island, St. Croix , USVI (EM-698)
Collapse All
Expand All
- Export Data to Spreadsheet (Free Viewers)
- View Variable Relationship Diagram (PDF)(1 pp, 80 KB, About PDF)
EM Identity and Description
EM Identification
|
EM ID
em.detail.idHelp
?
|
EM-698 |
|
EM Short Name
em.detail.shortNameHelp
?
|
Fish species richness, St. Croix, USVI |
|
EM Full Name
em.detail.fullNameHelp
?
|
Fish Species Richness, Buck Island, St. Croix , USVI |
|
EM Source or Collection
em.detail.emSourceOrCollectionHelp
?
|
None |
|
EM Source Document ID
|
355 |
|
Document Author
em.detail.documentAuthorHelp
?
|
Pittman, S.J., Christensen, J.D., Caldow, C., Menza, C., and M.E. Monaco |
|
Document Year
em.detail.documentYearHelp
?
|
2007 |
|
Document Title
em.detail.sourceIdHelp
?
|
Predictive mapping of fish species richness across shallow-water seascapes in the Caribbean |
|
Document Status
em.detail.statusCategoryHelp
?
|
Peer reviewed and published |
|
Comments on Status
em.detail.commentsOnStatusHelp
?
|
Published journal manuscript |
Software and Access
| Not applicable | |
|
Contact Name
em.detail.contactNameHelp
?
|
Simon Pittman |
|
Contact Address
|
1305 East-West Highway, Silver Spring, MD 20910, USA |
|
Contact Email
|
simon.pittman@noaa.gov |
EM Description
|
Summary Description
em.detail.summaryDescriptionHelp
?
|
ABSTRACT: "Effective management of coral reef ecosystems requires accurate, quantitative and spatially explicit information on patterns of species richness at spatial scales relevant to the management process. We combined empirical modelling techniques, remotely sensed data, field observations and GIS to develop a novel multi-scale approach for predicting fish species richness across a compositionally and topographically complex mosaic of marine habitat types in the U.S. Caribbean. First, the performance of three different modelling techniques (multiple linear regression, neural networks and regression trees) was compared using data from southwestern Puerto Rico and evaluated using multiple measures of predictive accuracy. Second, the best performing model was selected. Third, the generality of the best performing model was assessed through application to two geographically distinct coral reef ecosystems in the neighbouring U.S. Virgin Islands. Overall, regression trees outperformed multiple linear regression and neural networks. The best performing regression tree model of fish species richness (high, medium, low classes) in southwestern Puerto Rico exhibited an overall map accuracy of 75%; 83.4% when only high and low species richness areas were evaluated. In agreement with well recognised ecological relationships, areas of high fish species richness were predicted for the most bathymetrically complex areas with high mean rugosity and high bathymetric variance quantified at two different spatial extents (≤0.01 km2). Water depth and the amount of seagrasses and hard-bottom habitat in the seascape were of secondary importance. This model also provided good predictions in two geographically distinct regions indicating a high level of generality in the habitat variables selected. Results indicated that accurate predictions of fish species richness could be achieved in future studies using remotely sensed measures of topographic complexity alone. This integration of empirical modelling techniques with spatial technologies provides an important new tool in support of ecosystem-based management for coral reef ecosystems." |
|
Specific Policy or Decision Context Cited
em.detail.policyDecisionContextHelp
?
|
None provided |
|
Biophysical Context
|
Hard and soft benthic habitat types approximately to the 33m isobath |
|
EM Scenario Drivers
em.detail.scenarioDriverHelp
?
|
No scenarios presented |
EM Relationship to Other EMs or Applications
|
Method Only, Application of Method or Model Run
em.detail.methodOrAppHelp
?
|
Method + Application |
|
New or Pre-existing EM?
em.detail.newOrExistHelp
?
|
Application of existing model |
Related EMs (for example, other versions or derivations of this EM) described in ESML
em.detail.relatedEmHelp
?
|
Document ID for related EM
em.detail.relatedEmDocumentIdHelp
?
|
Doc-355 |
|
EM ID for related EM
em.detail.relatedEmEmIdHelp
?
|
EM-590 | EM-699 |
EM Modeling Approach
EM Relationship to Time
|
EM Temporal Extent
em.detail.tempExtentHelp
?
|
2000-2005 |
|
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
|
Bounding Type
em.detail.boundingTypeHelp
?
|
Physiographic or ecological |
|
Spatial Extent Name
em.detail.extentNameHelp
?
|
SW Puerto Rico, |
|
Spatial Extent Area (Magnitude)
em.detail.extentAreaHelp
?
|
100-1000 km^2 |
Spatial Distribution of Computations
|
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
?
|
not reported |
EM Structure and Computation Approach
|
EM Computational Approach
em.detail.emComputationalApproachHelp
?
|
Analytic |
|
EM Determinism
em.detail.deterStochHelp
?
|
deterministic |
|
Statistical Estimation of EM
em.detail.statisticalEstimationHelp
?
|
|
Model Checking Procedures Used
|
Model Calibration Reported?
em.detail.calibrationHelp
?
|
No |
|
Model Goodness of Fit Reported?
em.detail.goodnessFitHelp
?
|
Yes |
|
Goodness of Fit (metric| value | unit)
em.detail.goodnessFitValuesHelp
?
|
|
|
Model Operational Validation Reported?
em.detail.validationHelp
?
|
Yes |
|
Model Uncertainty Analysis Reported?
em.detail.uncertaintyAnalysisHelp
?
|
No |
|
Model Sensitivity Analysis Reported?
em.detail.sensAnalysisHelp
?
|
Yes |
|
Model Sensitivity Analysis Include Interactions?
em.detail.interactionConsiderHelp
?
|
No |
EM Locations, Environments, Ecology
Location of EM Application
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
em.detail.relationToSpaceTerrestrialHelp
?
| None |
Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
em.detail.relationToSpaceMarineHelp
?
|
Centroid Lat/Long (Decimal Degree)
|
Centroid Latitude
em.detail.ddLatHelp
?
|
17.79 |
|
Centroid Longitude
em.detail.ddLongHelp
?
|
-64.62 |
|
Centroid Datum
em.detail.datumHelp
?
|
WGS84 |
|
Centroid Coordinates Status
em.detail.coordinateStatusHelp
?
|
Estimated |
Environments and Scales Modeled
|
EM Environmental Sub-Class
em.detail.emEnvironmentalSubclassHelp
?
|
Near Coastal Marine and Estuarine |
|
Specific Environment Type
em.detail.specificEnvTypeHelp
?
|
shallow coral reefs |
|
EM Ecological Scale
em.detail.ecoScaleHelp
?
|
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
?
|
EM Organismal Scale
em.detail.orgScaleHelp
?
|
Guild or Assemblage |
Taxonomic level and name of organisms or groups identified
taxonomyHelp
?
|
EnviroAtlas URL
em.detail.enviroAtlasURLHelp
?
| 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
?
|
(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
fegs2Help
?
|
EM Variable Names (and Units)
Predictor
em.detail.variablesPredictorHelp
?
|
Driving Variables (and Units)
view details (3 variables)
em.detail.drivingVariableHelp
?
|
|
|
Constant or Factor Variables (and Units)
em.detail.constantFactorVariableHelp
?
|
None |
Intermediate
|
Intermediate (Computed) Variables (and Units)
view details (2 variables)
em.detail.intermediateVariableHelp
?
|
Response
em.detail.variablesResponseHelp
?
|
Observed Response Variables (and Units)
view details (1 variable)
em.detail.observedResponseHelp
?
|
|
|
Computed Response Variables (and Units)
view details (1 variable)
em.detail.computedResponseHelp
?
|