Assessing the Interdependence of Assemblages from Rainy Lake Fisheries Data

1993 ◽  
Vol 50 (2) ◽  
pp. 402-409 ◽  
Author(s):  
Yosef Cohen ◽  
Paul Radomski ◽  
Ron Moen
Keyword(s):  
Species Diversity ◽  
Species Interactions ◽  
Yellow Perch ◽  
Function Analysis ◽  
Fish Communities ◽  
Role Reversal ◽  
Population Fluctuations ◽  
Catch Per Unit Effort ◽  
Large Lakes ◽  
The North

We applied ad hoc methods to quantify differences among fish communities in four different locations in Rainy Lake using data from index netting from long-term studies. Our analysis addressed problems of inconsistencies in data collection. We established the amount of differences and similarities among the communities by analyzing species diversity over time, utilizing matrices of partial correlations and discriminant function analysis. We also identified role reversal, i.e. synchronization in fluctuations of relative catch-per-unit-effort (CUE) between pairs of species in these communities. In the less disturbed communities, walleye (Stizostedion vitreum) contributed most to the synchronization in the fluctuations of the yearly relative CUE among six common species. In the more disturbed locations, this contribution was primarily due to yellow perch (Perca flavescens) and sauger (Stizostedion canadense). The disturbed community in one location (the North Arm) exhibited marked decrease in species diversity. Recent restrictions on the fisheries in the North Arm resulted in an increase in species diversity. Fish communities, particularly in large lakes, may differ in the detail of species interactions and population fluctuations among locations within the lake. These differences must be taken into account in analysis and management of fisheries.

Dynamics and Species Interactions in the Commercial Fishery of the Red lakes, Minnesota

1992 ◽  
Vol 49 (2) ◽  
pp. 293-302 ◽  
Author(s):  
Donald L. Pereira ◽  
Yosef Cohen ◽  
George R. Spangler
Keyword(s):  
Species Interactions ◽  
Yellow Perch ◽  
Animal Feed ◽  
Age Distribution ◽  
Power Spectra ◽  
Commercial Fishery ◽  
Catch Per Unit Effort ◽  
Commercial Catch ◽  
Aplodinotus Grunniens ◽  
Freshwater Drum

The Red Lakes, Minnesota, have supported a commercial fishery for walleye (Stizostedion vitreum vitreum) and yellow perch (Perca flavescens) since 1917. Since 1972, harvests indicate increased variance in recruitment of percids and an increase in biomass of freshwater drum (Aplodinotus grunniens). We subjected commercial catch-per-unit-effort (CPUE) records of walleye, yellow perch, and animal feed (composed primarily of drum) to spectral analysis. Estimated power spectra displayed peaks at 8.5, 10, and 17 yr for walleye, yellow perch, and animal feed, respectively. Walleye and yellow perch CPUE time series were significantly coherent at periods ranging from 5to 10 yr, confirming the predator–prey relationship and common recruitment patterns of these two species. Interpretation of coherency between drum and the two percid species required knowledge of the age distribution of freshwater drum. The apparent exponential increase in drum biomass as indicated by commercial CPUE is primarily due to strong year classes in 1955, 1970, and 1983. While drum recruitment and growth are consistent with the periodicity in the autospectrum, we find little evidence from coherencies that drum recruitment is related to the dynamics of wlleye or perch populations.

“Optimal” P loading in large lakes affects fish communities: Do you prefer walleye or yellow perch?

2009 ◽  
Vol 30 (7) ◽  
pp. 1070-1072
Author(s):  
David A. Culver ◽  
Joseph D. Conroy ◽  
Jeffrey T. Tyson ◽  
Valerie C. Crane ◽  
Hongyan Zhang
Keyword(s):  
Yellow Perch ◽  
Fish Communities ◽  
Large Lakes

Species Diversity of Littoral Zone Fishes Along a Phosphorus–Production Gradient in Lake Memphremagog, Quebec–Vermont

1977 ◽  
Vol 34 (1) ◽  
pp. 167-170 ◽  
Author(s):  
Brian S. Nakashima ◽  
Dominique Gascon ◽  
William C. Leggett
Keyword(s):  
Species Diversity ◽  
Primary Production ◽  
Littoral Zone ◽  
Fish Communities ◽  
Fish Biomass ◽  
The North ◽  
Northern Areas ◽  
Phosphorus Production ◽  
South Axis

The species diversity of littoral zone fish communities in four areas of Lake Memphremagog was positively related to known phosphorus and primary production gradients along the north–south axis of the lake and to the associated north–south differences in macrobenthic and fish biomass. The highest diversity values were found consistently in the highly productive southern areas of the lake and the lowest values in the least productive northern areas.

How Quickly Do Fish Communities Recover From Boat Electrofishing in Large Lakes?

2017 ◽  
Vol 8 (2) ◽  
pp. 625-631 ◽  
Author(s):  
Bradley J. Smith ◽  
Darin G. Simpkins ◽  
Timothy R. Strakosh
Keyword(s):  
Fish Community ◽  
Lake Michigan ◽  
Open Systems ◽  
Spatial Scales ◽  
Fish Communities ◽  
Catch Per Unit Effort ◽  
Large Lakes ◽  
Green Bay ◽  
Recovery Duration ◽  
Community Information

Abstract For specific sampling questions researchers may need to target ideal habitats concurrently and collect reliable fish community data, but unfortunately, we know little about the recovery rate of fish communities in areas recently subjected to electrofishing. In small systems, electrofishing can quickly deplete a sample area but this effect is unlikely at larger spatial scales. We conducted an experiment to identify how quickly fish communities recover from electrofishing in Green Bay, an embayment of Lake Michigan. We conducted electrofishing at 31 sites that were randomly assigned to be resampled at 0.25, 1, 3, 6, 24, or 48 h postrelease of marked fish. We marked all fish ≥ 150 mm and released them at their capture site. We found no differences in catch per unit effort, mean total length, species richness, Shannon's diversity, or Shannon's evenness between marking and recapture runs for any length of recovery duration between electrofishing runs. We recaptured only one of 349 marked fish in the site where it was released. Recapture of five fish in areas outside where they were released was unrelated to recovery duration between electrofishing events. In large, open systems like Green Bay, we found that disturbances caused by electrofishing are temporary (< 15 min) and suspect that any fish removed are quickly replaced by new immigrants to the study area. Due to high turbidity in this eutrophic–hypereutrophic system, we suspect that electrofishing efficiency was low; therefore resampling had the potential benefit of collecting individuals missed during marking runs. We conclude that fish communities in large lakes recover quickly following electrofishing and sites can be sampled concurrently within the same day and provide similar, or additional, fish community information.

scholarly journals Spatio-temporal associations of albacore CPUEs in the Northeastern Pacific with regional SST and climate environmental variables

2014 ◽  
Vol 71 (7) ◽  
pp. 1717-1727 ◽  
Author(s):  
A. Jason Phillips ◽  
Lorenzo Ciannelli ◽  
Richard D. Brodeur ◽  
William G. Pearcy ◽  
John Childers
Keyword(s):  
North Pacific ◽  
Large Scale ◽  
Environmental Variability ◽  
Southern Oscillation ◽  
Spatial Dynamics ◽  
Catch Per Unit Effort ◽  
Variable Effect ◽  
Positive Effects ◽  
The North ◽  
Additive Mixed Models

Abstract This study investigated the spatial distribution of juvenile North Pacific albacore (Thunnus alalunga) in relation to local environmental variability [i.e. sea surface temperature (SST)], and two large-scale indices of climate variability, [the Pacific Decadal Oscillation (PDO) and the Multivariate El Niño/Southern Oscillation Index (MEI)]. Changes in local and climate variables were correlated with 48 years of albacore troll catch per unit effort (CPUE) in 1° latitude/longitude cells, using threshold Generalized Additive Mixed Models (tGAMMs). Model terms were included to account for non-stationary and spatially variable effects of the intervening covariates on albacore CPUE. Results indicate that SST had a positive and spatially variable effect on albacore CPUE, with increasingly positive effects to the North, while PDO had an overall negative effect. Although albacore CPUE increased with SST both before and after a threshold year of 1986, such effect geographically shifted north after 1986. This is the first study to demonstrate the non-stationary spatial dynamics of albacore tuna, linked with a major shift of the North Pacific. Results imply that if ocean temperatures continue to increase, US west coast fisher communities reliant on commercial albacore fisheries are likely to be negatively affected in the southern areas but positively affected in the northern areas, where current albacore landings are highest.

scholarly journals Toward a global reference database of COI barcodes for marine zooplankton

2021 ◽  
Vol 168 (6) ◽  
Author(s):  
Ann Bucklin ◽  
Katja T. C. A. Peijnenburg ◽  
Ksenia N. Kosobokova ◽  
Todd D. O’Brien ◽  
Leocadio Blanco-Bercial ◽  
...  
Keyword(s):  
Species Diversity ◽  
Dna Sequences ◽  
Reference Sequence ◽  
Global Ocean ◽  
Reference Database ◽  
Data Repositories ◽  
Marine Zooplankton ◽  
The North ◽  
Coi Sequences ◽  
Taxonomic Groups

AbstractCharacterization of species diversity of zooplankton is key to understanding, assessing, and predicting the function and future of pelagic ecosystems throughout the global ocean. The marine zooplankton assemblage, including only metazoans, is highly diverse and taxonomically complex, with an estimated ~28,000 species of 41 major taxonomic groups. This review provides a comprehensive summary of DNA sequences for the barcode region of mitochondrial cytochrome oxidase I (COI) for identified specimens. The foundation of this summary is the MetaZooGene Barcode Atlas and Database (MZGdb), a new open-access data and metadata portal that is linked to NCBI GenBank and BOLD data repositories. The MZGdb provides enhanced quality control and tools for assembling COI reference sequence databases that are specific to selected taxonomic groups and/or ocean regions, with associated metadata (e.g., collection georeferencing, verification of species identification, molecular protocols), and tools for statistical analysis, mapping, and visualization. To date, over 150,000 COI sequences for ~ 5600 described species of marine metazoan plankton (including holo- and meroplankton) are available via the MZGdb portal. This review uses the MZGdb as a resource for summaries of COI barcode data and metadata for important taxonomic groups of marine zooplankton and selected regions, including the North Atlantic, Arctic, North Pacific, and Southern Oceans. The MZGdb is designed to provide a foundation for analysis of species diversity of marine zooplankton based on DNA barcoding and metabarcoding for assessment of marine ecosystems and rapid detection of the impacts of climate change.

scholarly journals Space-Time Sea Surface pCO2 Estimation in the North Atlantic Based on CatBoost

2021 ◽  
Vol 13 (14) ◽  
pp. 2805
Author(s):  
Hongwei Sun ◽  
Junyu He ◽  
Yihui Chen ◽  
Boyu Zhao
Keyword(s):  
North Atlantic ◽  
Function Analysis ◽  
Biological Activities ◽  
Mixed Layer Depth ◽  
Sea Surface ◽  
Coefficient Of Determination ◽  
Mean Bias Error ◽  
Bias Error ◽  
The North ◽  
The North Atlantic

Sea surface partial pressure of CO2 (pCO2) is a critical parameter in the quantification of air–sea CO2 flux, which plays an important role in calculating the global carbon budget and ocean acidification. In this study, we used chlorophyll-a concentration (Chla), sea surface temperature (SST), dissolved and particulate detrital matter absorption coefficient (Adg), the diffuse attenuation coefficient of downwelling irradiance at 490 nm (Kd) and mixed layer depth (MLD) as input data for retrieving the sea surface pCO2 in the North Atlantic based on a remote sensing empirical approach with the Categorical Boosting (CatBoost) algorithm. The results showed that the root mean square error (RMSE) is 8.25 μatm, the mean bias error (MAE) is 4.92 μatm and the coefficient of determination (R2) can reach 0.946 in the validation set. Subsequently, the proposed algorithm was applied to the sea surface pCO2 in the North Atlantic Ocean during 2003–2020. It can be found that the North Atlantic sea surface pCO2 has a clear trend with latitude variations and have strong seasonal changes. Furthermore, through variance analysis and EOF (empirical orthogonal function) analysis, the sea surface pCO2 in this area is mainly affected by sea temperature and salinity, while it can also be influenced by biological activities in some sub-regions.

Phytoplankton of cold-water lake ecosystems under the influence of natural and anthropogenic factors

2021 ◽  
pp. 42-49
Author(s):  
Andrey N. Sharov
Keyword(s):  
Heavy Metals ◽  
Cold Water ◽  
Arctic Lakes ◽  
Water Bodies ◽  
The Arctic ◽  
Anthropogenic Factors ◽  
Large Lakes ◽  
Arctic Water ◽  
The North ◽  
Natural And Anthropogenic Factors

Based on the study of the spatio-temporal aspects of the development of phytoplankton in the lakes of the North and North-West of the European territory of Russia (large lakes – Imandra, Onega and Chudsko-Pskovskoye and small lakes of the Arctic and Subarctic), the features of its structure and dynamics under the influence of natural and anthropogenic factors (eutrophication, heavy metal pollution, acidification, thermification). The species composition and quantitative characteristics of phytoplankton of large lakes of the North of Russia, small arctic lakes and lakes of subarctic regions are studied. It has been shown that diatoms predominate in arctic water bodies according to species diversity, and green and diatoms predominate in boreal ones. By biomass, diatoms dominate mainly in all cold-water lakes, with the exception of small arctic lakes, where golden algae lead. The features of the reorganization of phytoplankton in response to the action of anthropogenic factors are revealed. It is proved that in the northern water bodies the complex action of heavy metals and nutrients does not lead to inhibition of phytoplankton, and the effect of acidification in combination with heavy metals enhances the toxic effect of the latter. A feature of the response to acidification is an increase in the variability of the dynamics of the biomass of phytoplankton. It has been shown that in different types of lakes of East Antarctica under severe climate conditions under light and biogenic limitation, redistribution of autotrophic components in the formation of the biota of water bodies occurs: against the background of a decrease in the abundance and diversity of phytoplankton, the role of microphytobenthos and periphyton increases.

Exploitation and movements of yellowfin tuna (Thunnus albacares) and bigeye tuna (T. obesus) tagged in the north-western Coral Sea

1998 ◽  
Vol 49 (6) ◽  
pp. 475 ◽  
Author(s):  
John Hampton ◽  
John Gunn
Keyword(s):  
Seasonal Pattern ◽  
Yellowfin Tuna ◽  
Thunnus Albacares ◽  
Bigeye Tuna ◽  
Catch Per Unit Effort ◽  
The North ◽  
Coral Sea ◽  
Release Area ◽  
Seasonal Signal ◽  
North Western

Yellowfin tuna (Thunnus albacares) and bigeye tuna (T. obesus) were tagged and released in the north-western Coral Sea off northern Queensland in 1991 and 1992. Over the next five years, recaptures were reported by Australian longline vessels based in Cairns and fishing in the release area, and by industrial tuna fleets fishing in the adjacent western Pacific region, thus demonstrating clear links between the tuna stocks in these areas. Some southerly movements of yellowfin, in particular, further suggested links with stocks supporting the longline fishery in the south-eastern Australian Fishing Zone. Bigeye tuna tag returns and catch per unit effort by Cairns-based longliners showed a strong seasonal signal, peaking in mid year. Yellowfin tag-return data displayed a similar, but weaker, seasonal pattern. The data were analysed by use of tag-attrition models with seasonally variable catchability and with two assumptions regarding changes in targeting of the two species by longliners during the study. Under both assumptions, the local exploitation rates for yellowfin are low: about 0.07 in 1996. For bigeye, the local exploitation rate in 1996 may have been as high as 0.30, warranting a cautious approach to further fishery expansion in this area.

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