classified similarly) are created equal. Fine-scale maps are most likely to define
areas of high site fidelity for a specific life-stage of a fish species; whereas,
landscape-scale mapping would encompass distribution patterns for a wider
range of life stages and species. Beyond maps depicting habitat classes and
types, we are likely to learn a great deal about how the arrangement of habitats
in a mosaic drive fish distribution and abundance patterns and how best to meet
management needs by prioritizing habitats and regions that are important for
sustaining both fishes and ecosystem services.
Suggested Reading
Hamilton LJ (2001) Acoustic seabed classification systems. Department of Defence, Defence
Science and Technology Organisation Victoria (Australia) Aeronautical and Maritime
Research Lab
Penrose JD, Siwabessy PJW, Gavrilov A, Parnum I, Hamilton LJ, Bickers A, Brooke B, Ryan
DA, Kennedy P (2005) Acoustic techniques for seabed classification. Cooperative Research
Centre for Coastal Zone Estuary and Waterway Management, Technical Report 32
International Council for the Exploration of the Sea (2007) Acoustic seabed classification of
marine physical and biological landscapes, ICES Cooperative Research Report No. 286,
pp 183
References
Anderson JT, Holliday DV, Kloser R, Reid DG, Simard Y (2008) Acoustic seabed classification:
current practice and future directions. ICES J Mar Sci 65:1004–1011
Andrefouet S, Riegl B (2004) Remote sensing: a key tool for interdisciplinary assessment of coral
reef processes. Coral Reefs 23:1–4
Applied Physics Laboratory: University of Washington (APL-UW) (1994) APL-UW highfrequency ocean environmental acoustic models handbook, Technical Report APL-UW
TR9407 AEAS 9501. Applied Physics Laboratory, University of Washington, Seattle
Bejarano S, Mumby J, Hedley JD, Sotheran I (2010) Combining optical and acoustic data to
enhance the detection of Caribbean forereef habitats. Remote Sens Environ 114:2768–2778
Blondel PH, Gomez-Sichi O (2009) Textural analyses of multibeam sonar imagery from Stanton
Banks, Northern Ireland continental shelf. Appl Acoust 70:1288–1297
Breiman L, Friedman JH, Stone CJ, Olshen RA (1984) Classification and regression trees.
Wadsworth and Brooks/Cole, Monterey
Chivers RC, Emerson N, Burns DR (1990) New acoustic processing for underway surveying.
Hydrogr J 56:8–17
Congalton RG, Green K (1999) Assessing the accuracy of remotely sensed data: principles and
practices. Lewis Publishers, Boca Raton
Costa BM, Bauer LJ, Battista TA, Mueller PW, Monaco ME (2009a) Moderate-depth benthic
habitats of St. John, U.S. Virgin Islands. NOAA Technical Memorandum NOS NCCOS 105,
Silver Spring
Costa BM, Battista TA, Pittman SJ (2009b) Comparative evaluation of airborne LiDAR and shipbased multibeam SoNAR bathymetry and intensity for mapping coral reef ecosystems.
Remote Sens Environ 113:1082–1100
9 Acoustic Applications
249
areas of high site fidelity for a specific life-stage of a fish species; whereas,
landscape-scale mapping would encompass distribution patterns for a wider
range of life stages and species. Beyond maps depicting habitat classes and
types, we are likely to learn a great deal about how the arrangement of habitats
in a mosaic drive fish distribution and abundance patterns and how best to meet
management needs by prioritizing habitats and regions that are important for
sustaining both fishes and ecosystem services.
Suggested Reading
Hamilton LJ (2001) Acoustic seabed classification systems. Department of Defence, Defence
Science and Technology Organisation Victoria (Australia) Aeronautical and Maritime
Research Lab
Penrose JD, Siwabessy PJW, Gavrilov A, Parnum I, Hamilton LJ, Bickers A, Brooke B, Ryan
DA, Kennedy P (2005) Acoustic techniques for seabed classification. Cooperative Research
Centre for Coastal Zone Estuary and Waterway Management, Technical Report 32
International Council for the Exploration of the Sea (2007) Acoustic seabed classification of
marine physical and biological landscapes, ICES Cooperative Research Report No. 286,
pp 183
References
Anderson JT, Holliday DV, Kloser R, Reid DG, Simard Y (2008) Acoustic seabed classification:
current practice and future directions. ICES J Mar Sci 65:1004–1011
Andrefouet S, Riegl B (2004) Remote sensing: a key tool for interdisciplinary assessment of coral
reef processes. Coral Reefs 23:1–4
Applied Physics Laboratory: University of Washington (APL-UW) (1994) APL-UW highfrequency ocean environmental acoustic models handbook, Technical Report APL-UW
TR9407 AEAS 9501. Applied Physics Laboratory, University of Washington, Seattle
Bejarano S, Mumby J, Hedley JD, Sotheran I (2010) Combining optical and acoustic data to
enhance the detection of Caribbean forereef habitats. Remote Sens Environ 114:2768–2778
Blondel PH, Gomez-Sichi O (2009) Textural analyses of multibeam sonar imagery from Stanton
Banks, Northern Ireland continental shelf. Appl Acoust 70:1288–1297
Breiman L, Friedman JH, Stone CJ, Olshen RA (1984) Classification and regression trees.
Wadsworth and Brooks/Cole, Monterey
Chivers RC, Emerson N, Burns DR (1990) New acoustic processing for underway surveying.
Hydrogr J 56:8–17
Congalton RG, Green K (1999) Assessing the accuracy of remotely sensed data: principles and
practices. Lewis Publishers, Boca Raton
Costa BM, Bauer LJ, Battista TA, Mueller PW, Monaco ME (2009a) Moderate-depth benthic
habitats of St. John, U.S. Virgin Islands. NOAA Technical Memorandum NOS NCCOS 105,
Silver Spring
Costa BM, Battista TA, Pittman SJ (2009b) Comparative evaluation of airborne LiDAR and shipbased multibeam SoNAR bathymetry and intensity for mapping coral reef ecosystems.
Remote Sens Environ 113:1082–1100
9 Acoustic Applications
249