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Habitat Mapping

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High (3 degree) resolution along-ship. Depth resolution 1% of water depth ... 'gear bias' a problem with any survey gear. ArcInfo/ArcView 'Dynamic segmentation' ... – PowerPoint PPT presentation

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Title: Habitat Mapping


1
Habitat Mapping
2
Historical Fisheries Surveys
  • Little knowledge of habitat types prior to
    surveys
  • Random (or systematic grid) selection of survey
    sites
  • Habitat-based surveys now a possibility

3
Heceta Bank ExampleNasby-Lucas et al.
  • Habitat mapping using multibeam sonar
  • Ground-truthing and fish counts using a
    submersible
  • Establish fish density-habitat relationships
  • Estimate fish abundance using habitat types as
    strata

4
Multibeam sonar
  • Several (often 50-127) receiving beams
  • High (3 degree) resolution along-ship
  • Depth resolution 1 of water depth
  • Lateral resolution 5-10 of water depth
  • swath width about 4X water depth in shallow
    water
  • Enables complete coverage of bottom (mowing the
    lawn)

5
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6
Sonar Output
  • Bathymetry (precise)
  • Backscatter strength (guess at habitat type)
  • Georeferenced using GPS
  • Results in grids with a resolution of 5-10m

7
Submersible
  • Two-man Delta (little yellow submarine
  • Old positioning and georeferencing (Loran )
  • Groundtruth sonar habitat classifications
  • Count fish in a 2.3m wide transect
  • direct observation
  • video camera record

8
Fish Counts
  • Species ID often difficult
  • Fish must be near-bottom
  • Avoidance?
  • Attraction?
  • gear bias a problem with any survey gear

9
ArcInfo/ArcView
  • Dynamic segmentation using route
  • Allowed linkage of submersible and sonar data
  • Allowed identification of 8 habitat patches

10
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11
Heceta-Clear Habitat Preferences
  • Yellowtail rockfish, juvenile rockfish and
    lingcod on rock-ridge habitat
  • Dover sole, rex sole and thornyhead on mud (weak
    backscatter)
  • Sharpchin,rosethorn,greenspotted on mixed
    habitat (pebble, cobble,boulder--strong
    backscatter)

12
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13
Heceta Bank-Conclusions
  • Habitat types distinguishable using sonar,
    followed by groundtruthing
  • Fish density observations from submersible
    extrapolated (by habitat strata) far more
    accurate than random sampling of entire bank
  • Pilot project, but shows great potential
  • Similar methodology in San Juans (Lab)
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