View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth   ArcGIS Pro

Service Description: Predicted hotspot probabilities are given for four biodiversity indices: 1) relative abundance, 2) relative biomass, and 3) species number for all groundfishes, and 4) relative abundance for only nearshore groundfishes. The nearshore species assemblage includes: Sand Sole, English Sole, Pacific Sanddab, Speckled Sanddab, Petrale Sole, Starry Flounder, and Butter Sole. Hotspots were defined as areas with predictions in the top 10% of values of at-sea observations. Areas of relatively high biodiversity were predicted using at-sea groundfish observations collected from 1971 to 2010 and associative models linking species observations with environmental covariates. Groundfish observations were taken from existing fishery-independent trawl data collected by NOAA’s National Marine Fisheries Service and flatfish trawl data collected by the Oregon Department of Fish and Wildlife. Environmental predictors included position on the shelf, sea floor habitat, depth, slope, aspect, slope of slope, and oceanographic productivity were used to predict areas with relatively high groundfish biodiversity. Binary logistic regression trees were used to associate species observations with environmental covariates and predict categorical results (Hotspot/Low classes). Mapped values indicate the probability of a raster cell belonging in the hotspot class.

Map Name: Groundfish biodiversity maps

Legend

All Layers and Tables

Dynamic Legend

Dynamic All Layers

Layers:

• Predicted probabilities of biomass hotspots (0)
• Predicted probabilities of species number hotspots (1)
• Predicted probabilities of nearshore assemblage abundance hotspots (2)
• Predicted probabilities of abundance hotspots (3)

Description: This mapping service comprises maps of predicted groundfish biodiversity hotspot probabilities off the Pacific Coast of Oregon and Washington. Predicted hotspot probabilities are given for four biodiversity indices: 1) relative abundance, 2) relative biomass, and 3) species number for all groundfishes, and 4) relative abundance for only nearshore groundfishes. The nearshore species assemblage includes: Sand Sole, English Sole, Pacific Sanddab, Speckled Sanddab, Petrale Sole, Starry Flounder, and Butter Sole. Hotspots were defined as areas with predictions in the top 10% of values of at-sea observations. The data in this service were used to support the Oregon Territorial Sea Plan. It was used to define ecologically important areas in the Nearshore Ecological Data Atlas Marxan Analysis conducted by The Nature Conservancy of Oregon.

Copyright Text: DOC/NOAA/NOS/NCCOS – National Centers for Coastal Ocean Science

Spatial Reference: 102100  (3857)


Single Fused Map Cache: false

Initial Extent:

XMin: -1.4984420218701692E7
YMin: 4756215.478422493
XMax: -1.2820008015311861E7
YMax: 6341975.478422493
Spatial Reference: 102100  (3857)

Full Extent:

XMin: -1.4019014117006775E7
YMin: 4870695.478422493
XMax: -1.3785414117006775E7
YMax: 6227495.478422493
Spatial Reference: 102100  (3857)

Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info:

Title: Groundfish biodiversity hotspot prediction maps
Author: DOC/NOAA/NOS/NCCOS – National Centers for Coastal Ocean Science
Comments: Predicted hotspot probabilities are given for four biodiversity indices: 1) relative abundance, 2) relative biomass, and 3) species number for all groundfishes, and 4) relative abundance for only nearshore groundfishes. The nearshore species assemblage includes: Sand Sole, English Sole, Pacific Sanddab, Speckled Sanddab, Petrale Sole, Starry Flounder, and Butter Sole. Hotspots were defined as areas with predictions in the top 10% of values of at-sea observations. Areas of relatively high biodiversity were predicted using at-sea groundfish observations collected from 1971 to 2010 and associative models linking species observations with environmental covariates. Groundfish observations were taken from existing fishery-independent trawl data collected by NOAA’s National Marine Fisheries Service and flatfish trawl data collected by the Oregon Department of Fish and Wildlife. Environmental predictors included position on the shelf, sea floor habitat, depth, slope, aspect, slope of slope, and oceanographic productivity were used to predict areas with relatively high groundfish biodiversity. Binary logistic regression trees were used to associate species observations with environmental covariates and predict categorical results (Hotspot/Low classes). Mapped values indicate the probability of a raster cell belonging in the hotspot class.
Subject: This mapping service comprises maps of predicted groundfish biodiversity hotspot probabilities off the Pacific Coast of Oregon and Washington.
Category:
Keywords: groundfish,biodiversity,hotspot,predictive model,Marine Spatial Ecology,Predictive/Spatial Modeling,West Coast,Oregon
AntialiasingMode: None
TextAntialiasingMode: Force

Supports Dynamic Layers: true

MaxRecordCount: 1000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



Child Resources:   Info   Dynamic Layer

Supported Operations:   Export Map   Identify   QueryLegends   QueryDomains   Find   Return Updates   Generate KML