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  • 1
    Electronic Resource
    Electronic Resource
    Modelling spatial dynamics of fish (1998)
    Springer
    Reviews in fish biology and fisheries 8 (1998), S. 57-91 
    Details
    ISSN: 1573-5184
    Keywords: adaptation ; artificial neural networks ; fish ; fitness ; game theory ; genetic algorithms ; hearing ; ideal free distribution ; learning ; life history theory ; memory ; migration ; olfaction ; optimal foraging theory ; optimization ; sensory organs ; spatial modelling ; stochastic dynamic programming ; vision
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Abstract Our ability to model spatial distributions of fish populations is reviewed by describing the available modelling tools. Ultimate models of the individual's motivation for behavioural decisions are derived from evolutionary ecology. Mechanistic models for how fish sense and may respond to their surroundings are presented for vision, olfaction, hearing, the lateral line and other sensory organs. Models for learning and memory are presented, based both upon evolutionary optimization premises and upon neurological information processing and decision making. Functional tools for modelling behaviour and life histories can be categorized as belonging to an optimization or an adaptation approach. Among optimization tools, optimal foraging theory, life history theory, ideal free distribution, game theory and stochastic dynamic programming are presented. Among adaptation tools, genetic algorithms and the combination with artificial neural networks are described. The review advocates the combination of evolutionary and neurological approaches to modelling spatial dynamics of fish.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008864517488
    Location Call Number Limitation Availability
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    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    Implementing behaviour in individual-based models using neural networks and genetic algorithms (1999)
    Springer
    Evolutionary ecology 13 (1999), S. 469-483 
    Details
    ISSN: 1573-8477
    Keywords: adaptation ; artificial neural networks ; behaviour ; genetic algorithms ; habitat choice ; individual-based model ; state dependence ; stochastic dynamic programming
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Even though individual-based models (IBMs) have become very popular in ecology during the last decade, there have been few attempts to implement behavioural aspects in IBMs. This is partly due to lack of appropriate techniques. Behavioural and life history aspects can be implemented in IBMs through adaptive models based on genetic algorithms and neural networks (individual-based-neural network-genetic algorithm, ING). To investigate the precision of the adaptation process, we present three cases where solutions can be found by optimisation. These cases include a state-dependent patch selection problem, a simple game between predators and prey, and a more complex vertical migration scenario for a planktivorous fish. In all cases, the optimal solution is calculated and compared with the solution achieved using ING. The results show that the ING method finds optimal or close to optimal solutions for the problems presented. In addition it has a wider range of potential application areas than conventional techniques in behavioural modelling. Especially the method is well suited for complex problems where other methods fail to provide answers.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1006746727151
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    Paper (German National Licenses)
    Fulltext
  • 3
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    Unknown
    An individual based model spatial distribution, production and biomass for Calanus finmarchicus in the Norwegian Sea (2014)
    PANGAEA
    In:  Bjerknes Centre for Climate Research | Supplement to: Hjøllo, Solfrid Sætre; Huse, Geir; Skogen, Morten; Melle, Webjørn (2012): Modelling secondary production in the Norwegian Sea with a fully coupled physical/primary production/individual-based Calanus finmarchicus model system. Marine Biology Research, 8(5-6), 508-526, https://doi.org/10.1080/17451000.2011.642805
    Details
    Publication Date: 2023-03-07
    Description: The copepod Calanus finmarchicus is the dominant species of the meso-zooplankton in the Norwegian Sea, and constitutes an important link between the phytoplankton and the higher trophic levels in the Norwegian Sea food chain. An individualbased model for C. finmarchicus, based on super-individuals and evolving traits for behaviour, stages, etc., is two-way coupled to the NORWegian ECOlogical Model system (NORWECOM). One year of modelled C. finmarchicus spatial distribution, production and biomass are found to represent observations reasonably well. High C. finmarchicus abundance is found along the Norwegian shelf-break in the early summer, while the overwintering population is found along the slope and in the deeper Norwegian Sea basins. The timing of the spring bloom is generally later than in the observations. Annual Norwegian Sea production is found to be 29 million tonnes of carbon and a production to biomass (P/B) ratio of 4.3 emerges. Sensitivity tests show that the modelling system is robust to initial values of behavioural traits and with regards to the number of super-individuals simulated given that this is above about 50,000 individuals. Experiments with the model system indicate that it provides a valuable tool for studies of ecosystem responses to causative forces such as prey density or overwintering population size. For example, introducing C. finmarchicus food limitations reduces the stock dramatically, but on the other hand, a reduced stock may rebuild in one year under normal conditions. The NetCDF file contains model grid coordinates and bottom topography.
    Keywords: Basin Scale Analysis, Synthesis and Integration; C_finmarchicus_MODELEXP; Calculated; Carbon mass; EURO-BASIN; EXP; Experiment; Julian day; Norwegian Sea; Number; Number of individuals; Stage; x; y
    Type: Dataset
    Format: text/tab-separated-values, 1819773 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    Unknown
    Spatially explicit estimates of length and biomass of Micromesistius poutassou (Blue Whiting) and Clupea harengus (Norwegian spring spawning herring) from acoustic and trawl surveys in the North-East Atlantic (2004-2012) (2014)
    PANGAEA
    In:  Supplement to: Huse, Geir; MacKenzie, Brian R; Trenkel, Verena M; Doray, Mathieu; Nøttestad, Leif; Óskarsson, Guomundur J (2015): Spatially explicit estimates of stock sizes, structure and biomass of herring and blue whiting, and catch data of bluefin tuna. Earth System Science Data, 7(1), 35-46, https://doi.org/10.5194/essd-7-35-2015
    Details
    Publication Date: 2023-12-27
    Description: Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.
    Keywords: Basin Scale Analysis, Synthesis and Integration; EURO-BASIN
    Type: Dataset
    Format: application/zip, 18 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
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    Unknown
    Spatially explicit estimates of length and biomass of Clupea harengus (Norwegian spring spawning herring) from acoustic and trawl surveys in the North-East Atlantic in May 2008 (2014)
    PANGAEA
    In:  Institute of Marine Research, Bergen
    Details
    Publication Date: 2023-12-27
    Description: Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.
    Keywords: after MacLennan et al. (2002); Area; Basin Scale Analysis, Synthesis and Integration; Calculated from nautical area scattering coefficient; CHG-2008; Clupea harengus, biomass; Clupea harengus abundance as Nautical Area Scattering Coefficient; Code; DATE/TIME; EURO-BASIN; Event label; LATITUDE; LONGITUDE
    Type: Dataset
    Format: text/tab-separated-values, 360 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Unknown
    Spatially explicit estimates of length and biomass of Clupea harengus (Norwegian spring spawning herring) from acoustic and trawl surveys in the North-East Atlantic in May 2004 (2014)
    PANGAEA
    In:  Institute of Marine Research, Bergen
    Details
    Publication Date: 2023-12-27
    Description: Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.
    Keywords: after MacLennan et al. (2002); Area; Basin Scale Analysis, Synthesis and Integration; Calculated from nautical area scattering coefficient; CHG-2004; Clupea harengus, biomass; Clupea harengus abundance as Nautical Area Scattering Coefficient; Code; DATE/TIME; EURO-BASIN; Event label; LATITUDE; LONGITUDE
    Type: Dataset
    Format: text/tab-separated-values, 332 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 7
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    Unknown
    Spatially explicit estimates of length and biomass of Clupea harengus (Norwegian spring spawning herring) from acoustic and trawl surveys in the North-East Atlantic in May 2010 (2014)
    PANGAEA
    In:  Institute of Marine Research, Bergen
    Details
    Publication Date: 2023-12-27
    Description: Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.
    Keywords: after MacLennan et al. (2002); Area; Basin Scale Analysis, Synthesis and Integration; Calculated from nautical area scattering coefficient; CHG-2010; Clupea harengus, biomass; Clupea harengus abundance as Nautical Area Scattering Coefficient; Code; DATE/TIME; EURO-BASIN; Event label; LATITUDE; LONGITUDE
    Type: Dataset
    Format: text/tab-separated-values, 472 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 8
    facet.materialart.
    Unknown
    Spatially explicit estimates of length and biomass of Micromesistius poutassou (Blue Whiting) from acoustic and trawl surveys in the North-East Atlantic in May 2011 (2014)
    PANGAEA
    In:  Institute of Marine Research, Bergen
    Details
    Publication Date: 2023-12-27
    Description: Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.
    Keywords: after MacLennan et al. (2002); Area; Basin Scale Analysis, Synthesis and Integration; Calculated from nautical area scattering coefficient; Code; DATE/TIME; EURO-BASIN; Event label; LATITUDE; LONGITUDE; Micromesistius poutassou, biomass; Micromesistius poutassou abundance as Nautical Area Scattering Coefficient; MPW-2011
    Type: Dataset
    Format: text/tab-separated-values, 348 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 9
    facet.materialart.
    Unknown
    Spatially explicit estimates of length and biomass of Clupea harengus (Norwegian spring spawning herring) from acoustic and trawl surveys in the North-East Atlantic in May 2005 (2014)
    PANGAEA
    In:  Institute of Marine Research, Bergen
    Details
    Publication Date: 2023-12-27
    Description: Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.
    Keywords: after MacLennan et al. (2002); Area; Basin Scale Analysis, Synthesis and Integration; Calculated from nautical area scattering coefficient; CHG-2005; Clupea harengus, biomass; Clupea harengus abundance as Nautical Area Scattering Coefficient; Code; DATE/TIME; EURO-BASIN; Event label; LATITUDE; LONGITUDE
    Type: Dataset
    Format: text/tab-separated-values, 436 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 10
    facet.materialart.
    Unknown
    Spatially explicit estimates of length and biomass of Clupea harengus (Norwegian spring spawning herring) from acoustic and trawl surveys in the North-East Atlantic in May 2006 (2014)
    PANGAEA
    In:  Institute of Marine Research, Bergen
    Details
    Publication Date: 2023-12-27
    Description: Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.
    Keywords: after MacLennan et al. (2002); Area; Basin Scale Analysis, Synthesis and Integration; Calculated from nautical area scattering coefficient; CHG-2006; Clupea harengus, biomass; Clupea harengus abundance as Nautical Area Scattering Coefficient; Code; DATE/TIME; EURO-BASIN; Event label; LATITUDE; LONGITUDE
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
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