Species identification in deep water using multiple acoustic frequencies

By Rudy J. Kloser, Tim E. Ryan, Pavel Sakov, Alan Williams, J. Koslow. 2002

184 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/905da317aee6b5dbb4332877b1391eb6009a6233

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Peter C. Davison
2. P. Fernandes
3. J. Koslow
4. G. Johansen
5. Y. Heggelund
6. Inge K. Eliassen
7. Rudy J. Kloser
8. P. Ayón

In Global and Planetary Change

1. Peter C. Davison
2. Rudy J. Kloser
3. J. Koslow
4. A. Lara-Lopez
5. P. Fernandes
6. G. Johansen
7. Y. Heggelund
8. Inge K. Eliassen

In Oceanography

1. Peter C. Davison
2. Rudy J. Kloser
3. J. Koslow
4. A. Lara-Lopez
5. P. Fernandes
6. G. Johansen
7. Y. Heggelund
8. Inge K. Eliassen

Citations in the corpus

• Mesopelagic fish biomass in the southern California current ecosystem (2015, methodology): “The backscattering from fishes is sensitive to depth due to changes in the resonant frequency (Kloser et al., 2002; Fig.”
• Diel migration and swimbladder resonance of small fish: some implications for analyses of multifrequency echo data (2009, background): “Resonance in swimbladdered fish is a wellknown phenomenon (Holliday, 1972; Nero et al., 2004), which has also been taken into account in multiple-frequency studies of deep-water fish (Kloser et al., 2002).”
• Classification trees for species identification of fish-school echotraces (2009, background): “…subject to algorithms that incorporate a number of processes, such as data correction (Korneliussen et al., 2008), image analysis (Barange, 1994), and other data manipulations that isolate echotraces with particular (multifrequency) characteristics (Kloser et al., 2002; Korneliussen and Ona, 2003).”
• A multifrequency method to classify and evaluate fisheries acoustics data (2006, methodology): “The use of color is a powerful tool to display data, to highlight features, and to interpret the data (Swartzman et al. 1999; Kloser et al. 2002; Towler et al. 2003).”
• Acoustic species identification of schooling fish (2009, methodology): “Multifrequency data have been used since the late 1970s to identify and quantify scattering from zooplankton (Holliday, 1977; Martin et al., 1996), micronekton (Madureira et al., 1993), and fish (Kang et al., 2002; Kloser et al., 2002; Korneliussen and Ona, 2002, 2004; Fässler et al., 2007).”
• Is there enough zooplankton to feed forage fish populations off Peru? An acoustic (positive) answer (2011, background): “fish) using its acoustic properties and its theoretical frequency dependence (Kloser et al., 2002; Logerwell and Wilson, 2004; Mosteiro et al., 2004; Simmonds and MacLennan, 2005).”
• Acoustic biomass estimation of mesopelagic fish: backscattering from individuals, populations, and communities (2015, methodology): “For mesopelagic fish, resonance at frequencies ≤38 kHz is particularly pronounced (Kloser et al., 2002; Godo et al., 2009).”
• From siphonophores to deep scattering layers: uncertainty ranges for the estimation of global mesopelagic fish biomass (2019, unknown): “A lot of data are available at a frequency of 38 kHz, but use of single frequency data alone does not enable frequency–response analyses that can identify scattering type (e.g. Kloser et al. , 2002; Lavery et al. , 2010).”