scholarly journals Can Identifying Discrete Behavioral Groups With Individual-Based Acoustic Telemetry Advance the Understanding of Fish Distribution Patterns?

2021 ◽  
Vol 8 ◽  
Author(s):  
Ryland B. Taylor ◽  
Martha E. Mather ◽  
Joseph M. Smith ◽  
Kayla M. Boles
Keyword(s):  
Striped Bass ◽  
Distribution Patterns ◽  
Fish Distribution ◽  
Spatial And Temporal Scales ◽  
Use Patterns ◽  
Site Type ◽  
Receiver Array ◽  
Fish Predators ◽  
Group Characteristics ◽  
Grouping Behavior

Identifying patterns of organismal distribution can provide valuable insights for basic and applied marine and coastal ecology because understanding where animals are located is foundational to both research and science-based conservation. Understanding variation in distributional patterns can lead to a better assessment of ecological drivers and an improved ability to predict consequences of natural and altered relationships. Here, our purpose is to explore if quantifying coexisting groups of individual fish predators advances our understanding of field distribution patterns. Toward this end, we quantified locations of 59 acoustically tagged striped bass (Morone saxatilis) within a 26-stationary unit telemetry receiver array in Plum Island Estuary (PIE), MA, United States. We then used cluster analyses on spatial and temporal-spatial metrics from this dataset to (1) assess if distinct groups of individuals coexisted, (2) quantify group characteristics, and (3) test associations between groups and distribution (e.g., physical site type and region). Based on multiple lines of evidence, we identified four groups of striped bass with different space use patterns that persisted across seasons (summer and fall). Similar-sized striped bass clustered at spatial and temporal scales at which individuals within distinct groups could, and did, physically overlap. In addition, distributional groups were linked to components of physical site type and region suggesting that discrete groups of individuals can interact differently with the environment within the same ecological system. The identification of these distinct groups of individuals creates a baseline from which to explore further ecological implications of grouping behavior for research and conservation in geographically large, temporally dynamic, and spatially heterogeneous marine and coastal environments.

scholarly journals Early mortality and freshwater forage fish recruitment: nonnative alewife and native rainbow smelt interactions in Lake Champlain

2019 ◽  
Vol 76 (5) ◽  
pp. 806-814
Author(s):  
Paul W. Simonin ◽  
Lars G. Rudstam ◽  
Patrick J. Sullivan ◽  
Donna L. Parrish ◽  
Bernard Pientka
Keyword(s):  
Climate Change ◽  
Distribution Patterns ◽  
Mortality Rates ◽  
Early Mortality ◽  
Fish Distribution ◽  
Change Scenario ◽  
Lake Champlain ◽  
Species Introduction ◽  
Rainbow Smelt ◽  
Fish Recruitment

We studied the consequences of a nonnative species introduction and changes in temperature on early mortality and recruitment of native rainbow smelt (Osmerus mordax) and nonnative alewife (Alosa pseudoharengus) in Lake Champlain using a simulation model. Distribution patterns of adults and young-of-the-year (YOY) fish were predicted using a model based on observed distribution of different age groups as a function of temperature and light profiles simulated on a daily basis. Mortality rates averaged over the growing season were calculated as a function of fish densities and overlap between adults and YOY. Survival of YOY rainbow smelt and alewife depended on which predator was most abundant. Rainbow smelt YOY mortality rates are highest when rainbow smelt adults are abundant, and alewife YOY mortality rates are highest when alewife adults are abundant, potentially allowing coexistence. August and September mortality rates were higher in the climate change scenario because of increased overlap of adults and YOY of both species. These results indicate that accounting for spatiotemporal fish distribution patterns can be important when forecasting the interacting effects of climate change and aquatic invasive species on fish recruitment.

scholarly journals How much fish is hidden in the surface and bottom acoustic blind zones?

2009 ◽  
Vol 66 (6) ◽  
pp. 1355-1363 ◽  
Author(s):  
Carla Scalabrin ◽  
Christian Marfia ◽  
Jean Boucher
Keyword(s):  
Continental Shelf ◽  
Autonomous Underwater Vehicle ◽  
Distribution Patterns ◽  
Underwater Vehicle ◽  
Fish Distribution ◽  
Scattering Coefficient ◽  
Research Vessel ◽  
Bay Of Biscay ◽  
Acoustic Surveys ◽  
Scientific Payload

Abstract Scalabrin, C., Marfia, C., and Boucher, J. 2009. How much fish is hidden in the surface and bottom acoustic blind zones? – ICES Journal of Marine Science, 66: 1355–1363. This paper presents results from the ALLEGRO-07 survey that was carried out from 1 to 15 September 2007 across the continental shelf in the Bay of Biscay by the RV “Thalassa”. The main objectives were to conduct experiments with a medium-sized, autonomous underwater vehicle (AUV) equipped with a fishery-acoustic scientific payload. This was needed to overcome the difficulties of sampling the surface and bottom blind zones, which are inaccessible to conventional, vessel-mounted transducers used for acoustic surveys in the Bay of Biscay. The AUV acoustic datasets from four dives were compared with those from the research vessel. The results were expressed for the nautical-area-scattering coefficient (sA) and biomass estimates. The AUV provided higher sA measurements than did the vessel. For particular environmental and fish-distribution patterns, the biomass estimated by the AUV was more than ten times that estimated by the vessel alone. The results presented indicate the magnitude of the error that may occur in acoustic surveys, if the biomass in the two blind zones is undetected.

Distribution, biomass and community structure of demersal fishes of the Gulf of Carpentaria, Australia

1994 ◽  
Vol 45 (3) ◽  
pp. 375 ◽  
Author(s):  
SJM Blaber ◽  
DT Brewer ◽  
AN Harris
Keyword(s):  
Community Structure ◽  
Abiotic Factors ◽  
Fish Fauna ◽  
Distribution Patterns ◽  
Demersal Fish ◽  
Fish Distribution ◽  
Sediment Type ◽  
Principal Coordinates Analysis ◽  
Main Site ◽  
Principal Coordinates

The demersal fish fauna of the Gulf of Carpentaria was surveyed during November and December 1990. Over 300 species from 85 families were caught by trawling a systematic grid of 107 stations. The absolute mean biomass was 124.8 kg ha-1 (s.e. =44.1) for day trawls and 53.7 kg ha-1 (s.e. =6.0) for night trawls. The overall mean catch rates were 421.3 kg h-1 (s.e. = 128.5) for day trawls and 198.6 kg h-1 (s.e. =21.5) for night trawls. Biomasses were twice as high in the prawn-trawling grounds of Albatross Bay, the south-eastern gulf and Groote Eylandt as they were elsewhere in the gulf. Twenty-five species made up 75% of the biomass; the dominant families were Haemulidae, Carangidae, Leiognathidae and Nemipteridae. Community-structure and distribution patterns were analysed by numerical classification techniques and principal-coordinates analysis. These indicated six main site groups and 15 fish community groups, based on fish species occurrences and biomasses. There was a relationship between fish distribution patterns and depth of water but not other abiotic factors recorded (sediment type, salinity, temperature and turbidity).

scholarly journals Mesocell Study Area Snow Distributions for the Cold Land Processes Experiment (CLPX)

2008 ◽  
Vol 9 (5) ◽  
pp. 957-976 ◽  
Author(s):  
Glen E. Liston ◽  
Christopher A. Hiemstra ◽  
Kelly Elder ◽  
Donald W. Cline
Keyword(s):  
Snow Water Equivalent ◽  
Distribution Patterns ◽  
Snow Accumulation ◽  
Meteorological Model ◽  
Meteorological Forcing ◽  
Spatial And Temporal Scales ◽  
Wide Range ◽  
Snow Water ◽  
Grid Points ◽  
Evolution Modeling

Abstract The Cold Land Processes Experiment (CLPX) had a goal of describing snow-related features over a wide range of spatial and temporal scales. This required linking disparate snow tools and datasets into one coherent, integrated package. Simulating realistic high-resolution snow distributions and features requires a snow-evolution modeling system (SnowModel) that can distribute meteorological forcings, simulate snowpack accumulation and ablation processes, and assimilate snow-related observations. A SnowModel was developed and used to simulate winter snow accumulation across three 30 km × 30 km domains, enveloping the CLPX mesocell study areas (MSAs) in Colorado. The three MSAs have distinct topography, vegetation, meteorological, and snow characteristics. Simulations were performed using a 30-m grid increment and spanned the snow accumulation season (1 October 2002–1 April 2003). Meteorological forcing was provided by 27 meteorological stations and 75 atmospheric analyses grid points, distributed using a meteorological model (MicroMet). The simulations included a data assimilation model (SnowAssim) that adjusted simulated snow water equivalent (SWE) toward ground-based and airborne SWE observations. The observations consisted of SWE over three 1 km × 1 km intensive study areas (ISAs) for each MSA and a collection of 117 airborne gamma observations, each integrating area 10 km long by 300 m wide. Simulated SWE distributions displayed considerably more spatial heterogeneity than the observations alone, and the simulated distribution patterns closely fit the current understanding of snow evolution processes and observed snow depths. This is the result of the MicroMet/SnowModel’s relatively finescale representations of orographic precipitation, elevation-dependant snowmelt, wind redistribution, and snow–vegetation interactions.

Effects of mangrove structure on fish distribution patterns and predation risks

2014 ◽  
Vol 461 ◽  
pp. 216-225 ◽  
Author(s):  
Kusuto Nanjo ◽  
Hiroyoshi Kohno ◽  
Yohei Nakamura ◽  
Masahiro Horinouchi ◽  
Mitsuhiko Sano
Keyword(s):  
Distribution Patterns ◽  
Fish Distribution ◽  
Mangrove Structure

Spatial and temporal scales of environmental forcing of Acartia populations (Copepoda: Calanoida) in the Canal de Mira (Ria de Aveiro, Portugal)†

2013 ◽  
Vol 71 (3) ◽  
pp. 585-596 ◽  
Author(s):  
Sérgio Miguel Leandro ◽  
Peter Tiselius ◽  
Henrique Queiroga
Keyword(s):  
Principal Component ◽  
Distribution Patterns ◽  
Data Matrix ◽  
Environmental Forcing ◽  
Ria De Aveiro ◽  
Spatial And Temporal Scales ◽  
Delayed Effects ◽  
Biological Time ◽  
Faunistic Composition ◽  
Middle Estuary

Abstract Zooplankton and hydrological data were collected from August 2000 and June 2002 at six stations distributed throughout Canal de Mira (Ria de Aveiro, Portugal). The abundance of Acartia clausi and Acartia tonsa adults and juveniles of Acartia spp. for each station and month were combined in a three-way data matrix, which was decomposed into three two-way matrices corresponding to different modes: biological, time, and space. Cluster analysis applied on the space mode revealed the existence of three different zones as a consequence of zooplankton composition. At each mode, principal component analysis showed strong seasonal variations in zones 1 and 2. A different spatial pattern was found between the periods November 2000–April 2001 and November 2001–April 2002, with the displacement of the highest abundance levels from the middle estuary to near the mouth. The congeneric populations were segregated in space: the A. clausi population was restricted to downstream stations (zone 1), whereas the A. tonsa population dominated the middle estuary. Significant correlations between hydrological parameters and copepod abundance were found to differ from zone to zone. The statistical methodology was a valuable tool to (i) discriminate spatial and seasonal distribution patterns, (ii) define estuarine sections based on the faunistic composition, and (iii) evaluate delayed effects of phytoplankton.

Fish habitat modeling: from conceptual framework to functional tools

2001 ◽  
Vol 58 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Daniel Boisclair
Keyword(s):  
Spatial Scales ◽  
Fish Habitat ◽  
Fish Communities ◽  
Distribution Patterns ◽  
Habitat Modeling ◽  
Fish Distribution ◽  
Spatially Explicit ◽  
Net Energy ◽  
Specific Distribution ◽  
Physical Attributes

Natural and anthropogenic perturbations do not always equally affect all parts of an ecosystem, and all parts of an ecosystem do not equally contribute to maintain fish communities. The increasing pressure to use natural resources and to modify habitats led to the development of approaches to identify areas of key importance for fish communities. Following these approaches, aquatic systems could be perceived as puzzles, composed of a multitude of pieces with temporally flexible physical attributes and biological roles. Such a spatially explicit framework requires models that may allow one to predict fish distribution patterns and fish net energy gain once they have adopted a specific distribution pattern. Despite the conceptual appeal of spatially explicit approaches, functional tools may be obtained only after their assumptions have been tested and their models have been validated. Efforts must be deployed to identify temporal and spatial scales at which fish distribution and abundance should be estimated and modeled. Studies on fish behaviour and the energetic consequences of these behaviours must be conducted to insure that bioenergetic criteria used to define fish habitat quality do not depend on arbitrary assumptions about fish activity costs.

Image Analysis Techniques for the Study of Fish School Structure from Acoustic Survey Data

1993 ◽  
Vol 50 (5) ◽  
pp. 886-893 ◽  
Author(s):  
D. G. Reid ◽  
E. J. Simmonds
Keyword(s):  
Image Analysis ◽  
Stock Assessment ◽  
Processing System ◽  
Distribution Patterns ◽  
Fish Distribution ◽  
School Structure ◽  
Fish School ◽  
Wide Range ◽  
Schooling Behaviour ◽  
Image Analysis Techniques

A new image analysis based processing system is described for acoustic fisheries data. In a series of a simple steps the system can identify schools and display their positions on a screen. Modifications to the identification process can be entered interactively by the operator. The system provides a wide range of parameters associated with each school, e.g., height, width, depth, shape, density, that can be entered into a database. Applications of this type of system for improving the accuracy of acoustic stock assessment, studying fish distribution patterns, and elucidating fish schooling behaviour are discussed.

Diel vertical migration of fish in a Neotropical reservoir

2017 ◽  
Vol 68 (6) ◽  
pp. 1070 ◽  
Author(s):  
I. G. Prado ◽  
P. S. Pompeu
Keyword(s):  
Power Plant ◽  
Vertical Migration ◽  
Diel Vertical Migration ◽  
Power Plants ◽  
Hydroelectric Power Plant ◽  
Distribution Patterns ◽  
Fish Passage ◽  
Fish Distribution ◽  
Hydroelectric Power ◽  
Operational Variables

Vertical distribution of fish was studied immediately upstream of the Três Marias hydroelectric power plant dam from December 2010 to December 2011. Eighteen field trips were conducted for hydroacoustic sampling over a period of 24h each time, with 6-h diel sampling intervals within each of the 18 sample dates. Gill nets were used to collect information on fish species composition and length. The greater fish abundance near the surface during the night and at higher depths during the daytime over a 1-day period suggests that the behavioural phenomenon known as diel vertical migration occurs at Três Marias reservoir. Therefore, the aim of the present study was to evaluate the occurrence of diel vertical migration of fish in a Neotropical reservoir, the possible relationship with the operation of the hydroelectric power plant and the variables that may affect fish distribution in water column. Analysis of some limnological and operational variables showed that water transparency, temperature and dissolved oxygen were correlated with vertical fish distribution patterns. These results are important for proposing management measures to mitigate the effects of hydroelectric power plants on fish, such as fish passage through turbines.

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