Use of the cast net for monitoring fish status in reservoirs distributed in the Korean peninsula
Use of the cast net for monitoring fish status in reservoirs distributed in the Korean peninsula
Journal of Ecology and Environment. 2015. Aug, 38(3): 383-388
Copyright © 2015, The Ecological Society of Korea
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial Licens ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • Received : January 13, 2015
  • Accepted : April 28, 2015
  • Published : August 28, 2015
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About the Authors
Ju-Duk, Yoon
Biological Resource Center, Kongju National University, Gongju 314-701, South Korea
Jeong-Hui, Kim
Department of Biology Education, Kongju National University, Gongju 314-701, South Korea
Hae-Jin, Lee
Nakdong River Environmental Research Center, National Institute of Environmental Research, Goryeong 717-873, South Korea
Min-Ho, Jang
Department of Biology Education, Kongju National University, Gongju 314-701, South Korea

Reservoirs consist of two different environments, the littoral and the pelagic zone, and different fishing gear is commonly used in each zone—gill nets in the pelagic zone and electrofishing in the littoral zone. However, an active fishing gear, the cast net, is normally used instead of electrofishing for scientific studies in South Korea. In order to estimate cast net effectiveness for determining fish status in reservoirs, the study was conducted at 15 reservoirs with two different fishing gears: a cast net in the littoral zone and gill nets in the pelagic zone. When combining catches of both gears, species richness increased substantially compared to using one gear only. There was a size difference in fish caught by each net, and small fish were predominantly caught with the cast net due to its small mesh size (7 mm). The combined length of six species, used for length-weight relationship analysis, collected with the cast net was smaller than that collected with gill nets (independent t -test, P < 0.05). In this study, cast net sampling provided sufficient data for the littoral zone, but not enough to identify the overall fish assemblage in studied reservoirs. Utilization of only one gear can therefore lead to substantial underestimation of fish status, and a combination of both gears is recommended for determining more reliable estimates of fish status in reservoirs.
Determination of fish assemblages in certain regions is fundamental and important work in fish ecology. For appropriate estimation of fish fauna, selection of fishing gear is important and directly influences species diversity and yield of the catch. Selection of inappropriate fishing gear introduces problems like under- or over-estimation of species diversity, and results do not reflect the real status ( Rotherham et al. 2007 , 2011 ).
Reservoirs typically consist of two different environments—the littoral and the pelagic zones—with different physical and chemical characteristics. Because these characteristics can affect the composition of the fish assemblage ( Matthews 1998 ), sampling of both zones with appropriate fishing gear is important. The gill net and electrofishing are generally used for fish sampling in reservoirs. Although gill nets have various mesh sizes, corresponding to size and body type of different fish, they are insufficient for catching small fish.
Therefore, other fishing gear is required, such as electrofishing or the cast net. However, electrofishing is prohibited by law in Korea, although this method is particularly applicable for sampling the littoral zone ( Brosse et al. 2007 , Miranda and Boxrucker 2009 , Menezes et al. 2013 , Říha et al. 2015 ). The cast net is commonly used in Korea instead of electrofishing. It has been used to catch fish staying at or inhabiting shallow areas, such as wetland and the littoral zone, and to supplement impoundment collections ( Meador and Kelso 1990 , Stevens 2006 , Stevens et al. 2006 , Sheaves and Johnston 2008 ). It can cover a large area per deployment, compared with a throw trap, and is efficient where the gill net and the seine net are ineffective to use ( Stein III et al. 2014 ).
The objective of this study was to estimate cast net effectiveness for sampling reservoirs distributed over the south-eastern part of the Korean peninsula. Fish assemblages and diversity indices were mainly used for estimation. Based on these results, we discuss the utilization of the cast net for monitoring the littoral zone of reservoirs.
The study was conducted at 15 reservoirs, distributed in the south-eastern part of the Korean peninsula, used for diverse purposes such as agriculture, electricity, and drinking water ( Fig. 1 ). Two different fishing gears were used: a cast net (mesh size = 7 mm, net area = 16.6 m 2 ) for the littoral zone and two types of gill net (mesh size = 30 mm and 70 mm, length = 50 m) for the pelagic zone. These types of gill nets are commonly used for scientific purposes in Korea. The fish were caught in June and October from 2010 to 2012. To avoid rainfall impact, we selected sampling periods before and after the monsoon season. Two reservoirs were investigated in 2010, five in 2011, and eight in 2012. Ten cast net samplings were conducted in the littoral zone, following the shoreline, and gill nets were set up overnight for about 12 hours, including two twilight periods.
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Location of fifteen manmade reservoirs. All of reservoirs were distributed in the south-eastern part of the Korean peninsula.
The Shannon diversity index ( Pielou 1975 ) was calculated to compare catches with two different fishing gears, following the equation H = -Σ Pi × ln Pi , where Pi = ni /N, ni is the number of individuals of a particular species and N is the total number of individuals in the samples.
Total length (TL, cm) and body weight (BW, g) were measured to analyze potential differences in the lengthweight relationship (LWR) of six species between fishing gears. Occurrence and the possibility for statistical comparison of fishing gears were considered for species selection in this analysis. If one species was caught predominantly with the gill nets and rarely with the cast net, that species was excluded. Thus, the six species were Carassius auratus , Pseudorasbora parva , Hemibarbus labeo , Zacco platypus , Hemiculter eigenmanni , and Lepomis macrochirus . Every measurement was processed immediately at the study sites. The collected fish were moved to an aerated tank (100 × 100 × 80 cm) and subsequently anesthetized using 0.1 g/L ethyl 3-aminobenzoate methanesulfonate salt (Sigma-Aldrich, Munich, Germany). TL and BW were measured with a digital caliper and a digital balance to the nearest 0.1 cm and the 0.1 g, respectively. After measurement, fish were moved to a recovery tank and released, at the site where they had been caught, after complete recovery. LWR was estimated following the equation W = a L b , where W = BW, L = TL, and a and b are parameters of regression ( Ricker 1973 , Jobling 2008 ). Logarithmic transformation was applied to the regression, thus the equation was transformed to log (W) = log ( a ) + b log (L). The 95% confidence limits for a and b were calculated to confirm the distance between b and an isometric value of 3 ( Froese 2006 ).
Differences in catch composition between fishing gears were analyzed using nonmetric multidimensional scaling (NMDS) and analysis of similarities (ANOSIM), performed with the software primer 6 (Primer-E Ltd., Plymouth, UK). NMDS constructs two-dimensional ordination in a manner that best represents relationships among samples in a similarity matrix ( Field et al. 1982 ). Similarity matrices were generated for catch compositions by square-root-transforming the raw abundance data and calculating the Bray–Curtis similarity index for each pairwise comparison.
To compare statistical differences in abundance data, such as number of species or number of individuals, and calculated values, such as the Shannon diversity index or parameters a and b from LWR, the Wilcoxon signed rank test was used. The independent t-test was used to analyse length differences of fish collected by the two fishing gears. These comparisons were performed using SPSS ver. 18.0 (SPSS Inc., Chicago, IL, USA).
The number of species and individuals, and Shannon diversity indexes are presented in Table 1 . Although means for gill nets were always higher than for the cast net, there were no statistical differences (Wilcoxon signed rank test, P > 0.05). However, in four reservoirs the number of species collected with the cast net was higher than that caught with gill nets. The mean number of species collected with both gears was 3.1 ± 1.1. When combining catches, the number of species substantially increased. The mean number of individuals collected with gill nets was higher than that caught with the cast net. The Shannon diversity index increased in most cases when combining catches, but at six reservoirs, the index decreased. Species of families Cobitidae and Gobiidae, which have an elongated body shape or a small-sized body, were mainly collected with the cast net. Although the mean number of species collected with gill nets was higher than with the cast net, ANOSIM did not detect significant differences in catch composition between fishing gears (Global R = 0.027, P > 0.05). Samples from the fishing gears cannot be grouped according to gear in the NMDS ordination plot ( Fig. 2 ).
Number of fish species and individuals, and Shannon diversity index of two different fishing gears
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GN, gill nets; CN, cast net; GN & CN, collected both gears; SD, standard deviation.*more species were collected by the cast net than gill nets.
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Non-metric multidimensional scaling of samples based on the Bray-Curtis similarities calculated from square-root transformed abundances of fish species at each study sites. This plot showing a clear distinction between sites that fish collected by the cast net (black triangle) and gill nets (grey triangle).
Length distribution patterns of fish collected with each gear were similar ( Fig. 3 ). Fish of the size class 6–12 cm dominated catch with all sampling gear, and importance of other size classes gradually decreased with size increment. In case of gill nets, the number of collected individuals increased once more in the size class > 26 cm. These fish were collected with a gill net with a mesh size of 7 cm. Conversely, very few fish were collected of length less than 6 cm. Most small fish were caught with the cast net, owing to its small mesh size (7 mm).
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Length distribution of collected fishes from fifteen reservoirs using two different fishing gears. TLs of all collected fishes were used. Frequency means summation of number of individuals which are included in certain size classes. Size classes were grouped by 20 mm from 20 mm to longer than 320 mm total length.
LWRs are shown in Table 2 . Parameter b ranged from 2.605 for C. auratus to 3.263 for L. macrochirus in gill nets samples and from 2.829 for H. labeo to 3.237 for Z. platypus in cast net samples. Although the value was different between fishing gears, no statistical difference was found (Wilcoxon signed rank test, P > 0.05). TLs of the six species selected for LWR analysis were significantly smaller in the catch with the cast net than in the catch with gill nets (independent t-test, P < 0.05; Table 2 )
Descriptive estimation of length-weight relationship parameters for six dominant species collected by two different fishing gears in reservoirs (the value of correlation coefficient for all species were exceeded 0.975)
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GN, gill net; CN, cast net; Min, minimum; Max, maximum; a, intercept; b, slope; 95% CL of a and b, confidence limits (95%) range of a and b; *P < 0.05, **P < 0.001.
The littoral zone is important for many fish species ( Pierce et al. 2001 ). Many small and juvenile fish use the littoral zone of reservoirs as feeding ground and to avoid predators ( Lewin et al. 2004 ). In this study, the cast net was used for investigating fish status in the littoral zone of reservoirs instead of electrofishing. This increased the number of species identified in each reservoir, and in some cases, more species were caught with the cast net than with gill nets ( Table 1 ). This means that the cast net improved fish data in the littoral zone of studied reservoirs. However, cast net sampling could not represent fish assemblages in entire reservoirs. Therefore, combining catches with both gears is strongly recommended to determine fish assemblage in reservoirs.
If only one gear is used for sampling, there is a possibility of substantial underestimation of fish status. In case of the Jinyang reservoir, only 5 species were collected with the cast net, a huge difference compared to the number of species collected with both gears. The same was found in other reservoirs as well. Big fish were predominantly caught in the pelagic zone with gill nets. Many small fish species and juveniles live in the littoral zone ( Brosse et al. 2007 ), so that cast net sampling could be important and effective for collecting fishes.
LWR is used for comparing weight to length of fish ( Froese 2006 ). It is useful for fisheries management ( Crec’hriou et al. 2012 ), and can provide information on the population status of a species in a habitat ( Petrakis and Stergiou 1995 ), environmental condition, and food availability. The values for parameter b were within the expected range (2.5–3.5), following Froese (2006) . It was different depending on fishing gear, but these differences were not significant. They were probably generated by characteristics of fishing gears so that small fish were caught predominantly with the cast net and bigger fish predominantly with gill nets. When we calculated LWRs of similar TL sections only which were duplicated both gears, the parameter b showed similar values. Thus, b could be changed according to characteristics of fishing gear. Therefore, using the same fishing gear is suggested for comparison of LWRs in different locations. The value of parameter a , which can be used as an indicator of the body shape of the fish ( Froese 2006 ), is also influenced by the type of gear.
Gill nets are passive fishing gear and a well-known fishing gear for reservoirs. The cast net is an active fishing gear, enabling sampling of littoral zones similar to electrofishing. There are some problems and limitations when using the cast net in the littoral zone of reservoirs. First, aquatic plants such as free-floating and floating leaves are abundant during high temperature periods ( Oke 1987 , Woodward 1987 , Riis et al. 2012 ), and cast net sampling could be affected. However, Stein III et al. (2014) insisted that a cast net is useful in the submersed aquatic vegetated area. Second, if the depth of the littoral zone is more than 2 m, the descent of a cast net to the bottom takes a relatively long time, thus many fish could escape from it. Finally, catch rate is highly affected by the investigator’s skill. However, these problems are easily addressed. In this study, the cast net was appropriate for collecting fish in the littoral zone. Thus, the cast net could replace electrofishing for sampling the littoral zone of reservoirs. Additionally, a combination of the cast net and gill nets is recommended for more reliable fish status estimates in reservoirs.
This research was supported by the Nakdong River Watershed Management Fund relating to Fundamental Investigations of the Environment of the Nakdong River.
Brosse S , Grossman GD , Lek S 2007 Fish assemblage patterns in the littoral zone of a European reservoir Freshw Biol 52 448 - 458    DOI : 10.1111/j.1365-2427.2006.01704.x
Crec’hriou R , Neveu R , Lenfant P 2012 Length–weight relationship of main commercial fishes from the French Catalan coast J Appl Ichthyol 28 861 - 862    DOI : 10.1111/j.1439-0426.2012.02030.x
Field JG , Clarke KR , Warwick M 1982 A practical strategy for analyzing multi-species distribution patterns Mar Ecol Prog Ser 8 37 - 53    DOI : 10.3354/meps008037
Froese R 2006 Cube law, condition factor and weight-length relationships: history, meta-analysis and recommendations J Appl Ichthyol 22 241 - 253    DOI : 10.1111/j.1439-0426.2006.00805.x
Jobling M , Hart PJ , Reynolds JD 2008 Handbook of Fish Biology and Fisheries, Vol. 1: Fish Biology Blackwell Publishing Ltd Oxford Environmental factors and rates of development and growth 97 - 122
Lewin WC , Okun N , Mehner T 2004 Determinants of the distribution of juvenile fish in the littoral area of a shallow lake Freshw Biol 49 410 - 424    DOI : 10.1111/j.1365-2427.2004.01193.x
Matthews WJ 1998 Patterns in Freshwater Fish Ecology Chapman and Hall New York, NY
Meador MR , Kelso WE 1990 Growth of largemouth bass in low salinity environments T Am Fish Soc 119 545 - 552    DOI : 10.1577/1548-8659(1990)119<0545:GOLBIL>2.3.CO;2
Menezes RF , Borchsenius F , Svenning JC , Søndergaard M , Lauridsen TL , Landkildehus F , Jeppesen E 2013 Variation in fish community structure, richness, and diversity in 56 Danish lakes with contrasting depth, size, and trophic state: does the method matter? Hydrobiologia 710 47 - 59    DOI : 10.1007/s10750-012-1025-0
Miranda LE , Boxrucker J , Bonar SA , Huber WA , Willis DW 2009 Standard Methods for Sampling North American Freshwater Fishes American Fisheries Society Bethesda Warmwater fish in large standing waters 29 - 42
Oke TR 1987 Boundary Layer Climates 2nd ed. Routledge London
Petrakis G , Stergiou KI 1995 Weight-length relationships for 33 fish species in Greek waters Fish Res 21 465 - 469    DOI : 10.1016/0165-7836(94)00294-7
Pielou EC 1975 Ecological Diversity Wiley New York
Pierce CL , Sexton MD , Pelham ME , Liao H , Larscheid JG 2001 Dynamics of the Littoral Fish Assemblage in Spirit Lake, Iowa, and Implications for Prey Availability for Piscivores N Am J Fish Manag 21 884 - 896    DOI : 10.1577/1548-8675(2001)021<0884:DOTLFA>2.0.CO;2
Ricker WE 1973 Linear regressions in fisheries research J Fish Res Board Can 30 409 - 434    DOI : 10.1139/f73-072
Říha M , Ricard D , Vašek M , Prchalová M , Mrkvička T , Jůza T , Čech M , Draštík V , Muška M , Kratochvíl M , Peterka J , Tušer M , Seďa J , Blabolil P , Bláha M , Wanzenböck J , Kubečka J 2015 Patterns in diel habitat use of fish covering the littoral and pelagic zones in a reservoir Hydrobiologia 747 111 - 131    DOI : 10.1007/s10750-014-2124-x
Riis T , Olesen B , Clayton JS , Lambertini C , Brix H , Sorrell BK 2012 Growth and morphology in relation to temperature and light availability during the establishment of three invasive aquatic plant species Aquat Bot 102 56 - 64    DOI : 10.1016/j.aquabot.2012.05.002
Rotherham D , Underwood AJ , Chapman MG , Gray CA 2007 A strategy for developing scientific sampling tools for fishery-independent surveys of estuarine fish in New South Wales, Australia ICES J Mar Sci 64 1512 - 1516    DOI : 10.1093/icesjms/fsm096
Rotherham D , Macbeth WG , Kennelly SJ , Gray CA 2011 Reducing uncertainty in the assessment and management of fish resources following an environmental impact ICES J Mar Sci 68 1726 - 1733    DOI : 10.1093/icesjms/fsr079
Sheaves M , Johnston R 2008 Influence of marine and freshwater connectivity on the dynamics of subtropical estuarine wetland fish metapopulations Mar Ecol Prog Ser 357 225 - 243    DOI : 10.3354/meps07292
Stein III W , Smith PW , Smith G 2014 The cast net: an overlooked sampling gear Mar Coast Fish 6 12 - 19    DOI : 10.1080/19425120.2013.864737
Stevens PW 2006 Sampling fish communities in saltmarsh impoundments in the northern Indian River Lagoon, Florida: cast net and culvert trap gear testing Fla Scientist 69 135 - 147
Stevens PW , Montague CL , Sulak KJ 2006 Patterns of fish use and piscivore abundance within a reconnected saltmarsh impoundment in the northern Indian River Lagoon, Florida Wetl Ecol Manag 14 147 - 166    DOI : 10.1007/s11273-005-5827-y
Woodward FI 1987 Climate and Plant Distribution Cambridge University Press Cambridge