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Fazekas DL, Antal L, Ardó L, Halasi-Kovács B, Sándor ZJ, Pirger Z, Tóth F, Vitál Z, Specziár A, Mozsár A. Effects of angler's groundbaits on fish physiology and growth. Sci Rep 2024; 14:28541. [PMID: 39558014 PMCID: PMC11574117 DOI: 10.1038/s41598-024-79880-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 11/13/2024] [Indexed: 11/20/2024] Open
Abstract
Although angler's groundbaits (GBs) can be an important food resource for fish, we do not know much about the effects of GB consumption on the growth and health of fish. To fill this knowledge gap, we conducted a controlled, six-week long feeding trial (feeding ration: 2% of body weight) with common carp at 22 °C (Cyprinus carpio, mean initial body weight: 557 g) to test the effect of two GBs composed mostly of animal-derived ingredients (AN-GBs) and two plant-based GBs (PL-GBs) relative to one aquaculture feed, as a control (five treatment altogether). Consumption of PL-GBs resulted in lower growth rate than AN-GBs, presumably due to the low protein content. However, the unit biomass increment per unit nitrogen input was higher in PL-GBs. Although PL-GBs resulted in reduction of hepatic energy reserves, hepatosomatic index, viscerosomatic index, and body condition did not differ among the treatments. We did not find differences in expression of inflammatory cytokines in the liver. In conclusion, AN-GBs more effectively increases the carrying capacity of fisheries, but fish sequester a higher portion of nitrogen content of PL-GBs -PL-GB input can be more effectively counterbalanced by fish removal. Finally, the GB consumption does not pose a health risk to fish.
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Affiliation(s)
- Dorottya Lilla Fazekas
- Research Center for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Szarvas, 5540, Hungary
- Pál Juhász-Nagy Doctoral School of Biology and Environmental Sciences, University of Debrecen, Debrecen, 4032, Hungary
| | - László Antal
- Department of Hydrobiology, University of Debrecen, Debrecen, 4032, Hungary.
| | - László Ardó
- Research Center for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Szarvas, 5540, Hungary
| | - Béla Halasi-Kovács
- Research Center for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Szarvas, 5540, Hungary
- SCIAP Consulting, Debrecen, 4225, Hungary
| | - Zsuzsanna J Sándor
- Research Center for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Szarvas, 5540, Hungary
| | - Zsolt Pirger
- HUN-REN Balaton Limnological Research Institute, Tihany, 8237, Hungary
- National Laboratory for Water Science and Water Security, HUN-REN Balaton Limnological Research Institute, Tihany, 8237, Hungary
| | - Flórián Tóth
- MTA-ÖK Lendület "Momentum" Fluvial Ecology Research Group, Institute of Aquatic Ecology, HUN-REN Centre for Ecological Research, 1113, Budapest, Hungary
| | - Zoltán Vitál
- Research Center for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Szarvas, 5540, Hungary
| | - András Specziár
- HUN-REN Balaton Limnological Research Institute, Tihany, 8237, Hungary
- National Laboratory for Water Science and Water Security, HUN-REN Balaton Limnological Research Institute, Tihany, 8237, Hungary
| | - Attila Mozsár
- HUN-REN Balaton Limnological Research Institute, Tihany, 8237, Hungary
- National Laboratory for Water Science and Water Security, HUN-REN Balaton Limnological Research Institute, Tihany, 8237, Hungary
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Fazekas DL, Antal L, Halasi-Kovács B, Kwiatkowski M, Tóth F, Specziár A, Mozsár A. Acute effects of angler's groundbaits: nutrient flux to water column. Sci Rep 2023; 13:17691. [PMID: 37848478 PMCID: PMC10582090 DOI: 10.1038/s41598-023-44381-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 10/07/2023] [Indexed: 10/19/2023] Open
Abstract
Although ground-baiting related nutrient loading has been widely studied, we do not know what proportion of these nutrients release into the water column, affecting primary production directly. We conducted short-term (24-h, 5-day) experiments at wide temperature range, in presence and absence of fish using fish meal-based (FM-GB) and plant-based groundbait (PB-GB), to assess the nitrogen (N) and phosphorus (P) fluxes from GB into the water column. Nitrogen release from unconsumed FM-GB was negligible in the first 3 days, then increased abruptly, releasing 32% of its total N content by the fifth day. In contrast, PB-GB acted as temporary sink for inorganic N forms. Considerable (18-21%) inorganic P release was observed in both GB types in the first twelve hours. Consumed GBs induced considerable inorganic N release and its rate increased with temperature. Particulate forms predominated the released N in PB-GB, suggesting impaired digestion. Phosphorus-dominated by particulate forms-release was similar or lower than in unconsumed GB. Based on our results, excessive use of GB-when high amount of it remains unconsumed-can enhance eutrophication in P-limited ecosystems. Although less digestible GBs may have less abrupt effect on the primary production, undigested nutrients remain unavailable for removal through fish harvest.
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Affiliation(s)
- Dorottya Lilla Fazekas
- Research Centre for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Szarvas, 5540, Hungary.
- Pál Juhász-Nagy Doctoral School of Biology and Environmental Sciences, University of Debrecen, Debrecen, 4032, Hungary.
| | - László Antal
- Department of Hydrobiology, University of Debrecen, Debrecen, 4032, Hungary
| | - Béla Halasi-Kovács
- Research Centre for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Szarvas, 5540, Hungary
| | | | - Flórián Tóth
- Research Centre for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Szarvas, 5540, Hungary
| | - András Specziár
- HUN-REN Balaton Limnological Research Institute, Tihany, 8237, Hungary
- National Laboratory for Water Science and Water Security, HUN-REN Balaton Limnological Research Institute, Tihany, 8237, Hungary
| | - Attila Mozsár
- HUN-REN Balaton Limnological Research Institute, Tihany, 8237, Hungary
- National Laboratory for Water Science and Water Security, HUN-REN Balaton Limnological Research Institute, Tihany, 8237, Hungary
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Monk CT, Aslak U, Brockmann D, Arlinghaus R. Rhythm of relationships in a social fish over the course of a full year in the wild. MOVEMENT ECOLOGY 2023; 11:56. [PMID: 37710318 PMCID: PMC10502983 DOI: 10.1186/s40462-023-00410-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 07/06/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND Animals are expected to adjust their social behaviour to cope with challenges in their environment. Therefore, for fish populations in temperate regions with seasonal and daily environmental oscillations, characteristic rhythms of social relationships should be pronounced. To date, most research concerning fish social networks and biorhythms has occurred in artificial laboratory environments or over confined temporal scales of days to weeks. Little is known about the social networks of wild, freely roaming fish, including how seasonal and diurnal rhythms modulate social networks over the course of a full year. The advent of high-resolution acoustic telemetry enables us to quantify detailed social interactions in the wild over time-scales sufficient to examine seasonal rhythms at whole-ecosystems scales. Our objective was to explore the rhythms of social interactions in a social fish population at various time-scales over one full year in the wild by examining high-resolution snapshots of a dynamic social network. METHODS To that end, we tracked the behaviour of 36 adult common carp, Cyprinus carpio, in a 25 ha lake and constructed temporal social networks among individuals across various time-scales, where social interactions were defined by proximity. We compared the network structure to a temporally shuffled null model to examine the importance of social attraction, and checked for persistent characteristic groups over time. RESULTS The clustering within the carp social network tended to be more pronounced during daytime than nighttime throughout the year. Social attraction, particularly during daytime, was a key driver for interactions. Shoaling behavior substantially increased during daytime in the wintertime, whereas in summer carp interacted less frequently, but the interaction duration increased. Therefore, smaller, characteristic groups were more common in the summer months and during nighttime, where the social memory of carp lasted up to two weeks. CONCLUSIONS We conclude that social relationships of carp change diurnally and seasonally. These patterns were likely driven by predator avoidance, seasonal shifts in lake temperature, visibility, forage availability and the presence of anoxic zones. The techniques we employed can be applied generally to high-resolution biotelemetry data to reveal social structures across other fish species at ecologically realistic scales.
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Affiliation(s)
- Christopher T Monk
- Marine Evolutionary Ecology, GEOMAR Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, Kiel, 24105, Germany.
- Department of Fish Biology, Fisheries and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, Berlin, 12587, Germany.
| | - Ulf Aslak
- DTU Compute, Technical University of Denmark, Lyngby, DK-2800 Kgs.., Denmark
| | - Dirk Brockmann
- Robert Koch-Institute, Nordufer 20, Berlin, D-13353, Germany
- Institute for Theoretical Biology and Integrative Research Institute for the Life Sciences, Humboldt Universität zu Berlin, Berlin, Germany
| | - Robert Arlinghaus
- Department of Fish Biology, Fisheries and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, Berlin, 12587, Germany
- Integrative Research Institute on Transformations of Human-Environmental Systems, Humboldt-Universität zu Berlin, Invalidenstrasse 42, Berlin, 10115, Germany
- Division of Integrative Fisheries Management, Department of Crop and Animal Sciences, Faculty of Life Science, Humboldt-Universität zu Berlin, Invalidenstrasse 42, Berlin, 10115, Germany
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Nathan R, Monk CT, Arlinghaus R, Adam T, Alós J, Assaf M, Baktoft H, Beardsworth CE, Bertram MG, Bijleveld AI, Brodin T, Brooks JL, Campos-Candela A, Cooke SJ, Gjelland KØ, Gupte PR, Harel R, Hellström G, Jeltsch F, Killen SS, Klefoth T, Langrock R, Lennox RJ, Lourie E, Madden JR, Orchan Y, Pauwels IS, Říha M, Roeleke M, Schlägel UE, Shohami D, Signer J, Toledo S, Vilk O, Westrelin S, Whiteside MA, Jarić I. Big-data approaches lead to an increased understanding of the ecology of animal movement. Science 2022; 375:eabg1780. [PMID: 35175823 DOI: 10.1126/science.abg1780] [Citation(s) in RCA: 131] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Understanding animal movement is essential to elucidate how animals interact, survive, and thrive in a changing world. Recent technological advances in data collection and management have transformed our understanding of animal "movement ecology" (the integrated study of organismal movement), creating a big-data discipline that benefits from rapid, cost-effective generation of large amounts of data on movements of animals in the wild. These high-throughput wildlife tracking systems now allow more thorough investigation of variation among individuals and species across space and time, the nature of biological interactions, and behavioral responses to the environment. Movement ecology is rapidly expanding scientific frontiers through large interdisciplinary and collaborative frameworks, providing improved opportunities for conservation and insights into the movements of wild animals, and their causes and consequences.
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Affiliation(s)
- Ran Nathan
- Movement Ecology Lab, A. Silberman Institute of Life Sciences, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem, Israel.,Minerva Center for Movement Ecology, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Christopher T Monk
- Institute of Marine Research, His, Norway.,Centre for Coastal Research (CCR), Department of Natural Sciences, University of Agder, Kristiansand, Norway.,Department of Fish Biology, Fisheries and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Robert Arlinghaus
- Department of Fish Biology, Fisheries and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.,Division of Integrative Fisheries Management, Faculty of Life Sciences and Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Berlin, Germany
| | - Timo Adam
- Centre for Research into Ecological and Environmental Modelling, School of Mathematics and Statistics, University of St Andrews, St Andrews, UK
| | - Josep Alós
- Instituto Mediterráneo de Estudios Avanzados, IMEDEA (CSIC-UIB), Esporles, Spain
| | - Michael Assaf
- Racah Institute of Physics, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Henrik Baktoft
- National Institute of Aquatic Resources, Section for Freshwater Fisheries and Ecology, Technical University of Denmark, Silkeborg, Denmark
| | - Christine E Beardsworth
- NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, Den Burg, The Netherlands.,Centre for Research in Animal Behaviour, Psychology, University of Exeter, Exeter, UK
| | - Michael G Bertram
- Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Allert I Bijleveld
- NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, Den Burg, The Netherlands
| | - Tomas Brodin
- Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Jill L Brooks
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology, Carleton University, Ottawa, ON, Canada
| | - Andrea Campos-Candela
- Department of Fish Biology, Fisheries and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.,Instituto Mediterráneo de Estudios Avanzados, IMEDEA (CSIC-UIB), Esporles, Spain
| | - Steven J Cooke
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology, Carleton University, Ottawa, ON, Canada
| | | | - Pratik R Gupte
- NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, Den Burg, The Netherlands.,Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - Roi Harel
- Movement Ecology Lab, A. Silberman Institute of Life Sciences, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem, Israel.,Minerva Center for Movement Ecology, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Gustav Hellström
- Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Florian Jeltsch
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.,Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Shaun S Killen
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow UK
| | - Thomas Klefoth
- Ecology and Conservation, Faculty of Nature and Engineering, Hochschule Bremen, City University of Applied Sciences, Bremen, Germany
| | - Roland Langrock
- Department of Business Administration and Economics, Bielefeld University, Bielefeld, Germany
| | - Robert J Lennox
- NORCE Norwegian Research Centre, Laboratory for Freshwater Ecology and Inland Fisheries, Bergen, Norway
| | - Emmanuel Lourie
- Movement Ecology Lab, A. Silberman Institute of Life Sciences, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem, Israel.,Minerva Center for Movement Ecology, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Joah R Madden
- Centre for Research in Animal Behaviour, Psychology, University of Exeter, Exeter, UK
| | - Yotam Orchan
- Movement Ecology Lab, A. Silberman Institute of Life Sciences, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem, Israel.,Minerva Center for Movement Ecology, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ine S Pauwels
- Research Institute for Nature and Forest (INBO), Brussels, Belgium
| | - Milan Říha
- Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic
| | - Manuel Roeleke
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Ulrike E Schlägel
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - David Shohami
- Movement Ecology Lab, A. Silberman Institute of Life Sciences, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem, Israel.,Minerva Center for Movement Ecology, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Johannes Signer
- Wildlife Sciences, Faculty of Forest Sciences and Forest Ecology, University of Goettingen, Göttingen, Germany
| | - Sivan Toledo
- Minerva Center for Movement Ecology, The Hebrew University of Jerusalem, Jerusalem, Israel.,Blavatnik School of Computer Science, Tel-Aviv University, Tel-Aviv, Israel
| | - Ohad Vilk
- Movement Ecology Lab, A. Silberman Institute of Life Sciences, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem, Israel.,Minerva Center for Movement Ecology, The Hebrew University of Jerusalem, Jerusalem, Israel.,Racah Institute of Physics, Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Samuel Westrelin
- INRAE, Aix Marseille Univ, Pôle R&D ECLA, RECOVER, Aix-en-Provence, France
| | - Mark A Whiteside
- Centre for Research in Animal Behaviour, Psychology, University of Exeter, Exeter, UK.,School of Biological and Marine Sciences, University of Plymouth, Drake Circus, Plymouth, UK
| | - Ivan Jarić
- Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.,University of South Bohemia, Faculty of Science, Department of Ecosystem Biology, České Budějovice, Czech Republic
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Vanovac S, Howard D, Monk CT, Arlinghaus R, Giabbanelli PJ. Network analysis of intra- and interspecific freshwater fish interactions using year-around tracking. J R Soc Interface 2021; 18:20210445. [PMID: 34665974 PMCID: PMC8526167 DOI: 10.1098/rsif.2021.0445] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 09/16/2021] [Indexed: 01/23/2023] Open
Abstract
A long-term, yet detailed view into the social patterns of aquatic animals has been elusive. With advances in reality mining tracking technologies, a proximity-based social network (PBSN) can capture detailed spatio-temporal underwater interactions. We collected and analysed a large dataset of 108 freshwater fish from four species, tracked every few seconds over 1 year in their natural environment. We calculated the clustering coefficient of minute-by-minute PBSNs to measure social interactions, which can happen among fish sharing resources or habitat preferences (positive/neutral interactions) or in predator and prey during foraging interactions (agonistic interactions). A statistically significant coefficient compared to an equivalent random network suggests interactions, while a significant aggregated clustering across PBSNs indicates prolonged, purposeful social behaviour. Carp (Cyprinus carpio) displayed within- and among-species interactions, especially during the day and in the winter, while tench (Tinca tinca) and catfish (Silurus glanis) were solitary. Perch (Perca fluviatilis) did not exhibit significant social behaviour (except in autumn) despite being usually described as a predator using social facilitation to increase prey intake. Our work illustrates how methods for building a PBSN can affect the network's structure and highlights challenges (e.g. missing signals, different burst frequencies) in deriving a PBSN from reality mining technologies.
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Affiliation(s)
- Sara Vanovac
- Computer Science Department, Furman University, Greenville, SC 29613, USA
| | - Dakota Howard
- Computer Science Department, Furman University, Greenville, SC 29613, USA
| | - Christopher T. Monk
- Department of Biology and Ecology of Fishes, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany
| | - Robert Arlinghaus
- Department of Biology and Ecology of Fishes, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany
- Division of Integrative Fisheries Management, Faculty of Life Sciences and Integrative Research Institute on Transformations of Human-Environmental Systems, Humboldt-Universität zu Berlin, Invalidenstrasse 42, 10115 Berlin, Germany
| | - Philippe J. Giabbanelli
- Department of Computer Science and Software Engineering, Miami University, Benton Hall 205 W, 510 E High Street, Oxford, OH 45056, USA
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