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Elings J, Bruneel S, Pauwels IS, Schneider M, Kopecki I, Coeck J, Mawer R, Goethals PLM. Finding navigation cues near fishways. Biol Rev Camb Philos Soc 2024; 99:313-327. [PMID: 37813384 DOI: 10.1111/brv.13023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 10/11/2023]
Abstract
Many fish species depend on migration for various parts of their life cycle. Well-known examples include diadromous fish such as salmon and eels that need both fresh water and salt water to complete their life cycle. Migration also occurs within species that depend only on fresh water. In recent decades, anthropogenic pressures on freshwater systems have increased greatly, and have resulted, among other effects, in drastic habitat fragmentation. Fishways have been developed to mitigate the resulting habitat fragmentation, but these are not always effective. To improve fishway efficiency, the variety of navigation cues used by fish must be better understood: fish use a multitude of sensory inputs ranging from flow variables to olfactory cues. The reaction of a fish is highly dependent on the intensity of the cue, the fish species involved, and individual traits. Recently developed monitoring technologies allow us to gain insights into different combinations of environmental and physiological conditions. By combining fish behavioural models with environmental models, interactions among these components can be investigated. Several methods can be used to analyse fish migration, with state-space models, hidden Markov models, and individual-based models potentially being the most relevant since they can use individual data and can tie them to explicit spatial locations within the considered system. The aim of this review is to analyse the navigational cues used by fish and the models that can be applied to gather knowledge on these processes. Such knowledge could greatly improve the design and operation of fishways for a wider range of fish species and conditions.
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Affiliation(s)
- Jelger Elings
- Aquatic Ecology Research Unit, Department of Animal Sciences and Aquatic Ecology, Ghent University, Coupure Links 653, Ghent, B-9000, Belgium
| | - Stijn Bruneel
- Aquatic Ecology Research Unit, Department of Animal Sciences and Aquatic Ecology, Ghent University, Coupure Links 653, Ghent, B-9000, Belgium
| | - Ine S Pauwels
- INBO, Team Aquatic Management, Research Institute for Nature and Forest, Havenlaan 88, Brussel, Belgium
| | - Matthias Schneider
- SJE Ecohydraulic Engineering GmbH, Dilleniusstrasse 13, Backnang, 71522, Germany
| | - Ianina Kopecki
- SJE Ecohydraulic Engineering GmbH, Dilleniusstrasse 13, Backnang, 71522, Germany
| | - Johan Coeck
- INBO, Team Aquatic Management, Research Institute for Nature and Forest, Havenlaan 88, Brussel, Belgium
| | - Rachel Mawer
- Aquatic Ecology Research Unit, Department of Animal Sciences and Aquatic Ecology, Ghent University, Coupure Links 653, Ghent, B-9000, Belgium
| | - Peter L M Goethals
- Aquatic Ecology Research Unit, Department of Animal Sciences and Aquatic Ecology, Ghent University, Coupure Links 653, Ghent, B-9000, Belgium
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Ko H, Lauder G, Nagpal R. The role of hydrodynamics in collective motions of fish schools and bioinspired underwater robots. J R Soc Interface 2023; 20:20230357. [PMID: 37876271 PMCID: PMC10598440 DOI: 10.1098/rsif.2023.0357] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 10/02/2023] [Indexed: 10/26/2023] Open
Abstract
Collective behaviour defines the lives of many animal species on the Earth. Underwater swarms span several orders of magnitude in size, from coral larvae and krill to tunas and dolphins. Agent-based algorithms have modelled collective movements of animal groups by use of social forces, which approximate the behaviour of individual animals. But details of how swarming individuals interact with the fluid environment are often under-examined. How do fluid forces shape aquatic swarms? How do fish use their flow-sensing capabilities to coordinate with their schooling mates? We propose viewing underwater collective behaviour from the framework of fluid stigmergy, which considers both physical interactions and information transfer in fluid environments. Understanding the role of hydrodynamics in aquatic collectives requires multi-disciplinary efforts across fluid mechanics, biology and biomimetic robotics. To facilitate future collaborations, we synthesize key studies in these fields.
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Affiliation(s)
- Hungtang Ko
- Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA
| | - George Lauder
- Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Radhika Nagpal
- Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA
- Computer Science, Princeton University, Princeton, NJ, USA
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García-Vega A, Fuentes-Pérez JF, Fukuda S, Kruusmaa M, Sanz-Ronda FJ, Tuhtan JA. Artificial lateral line for aquatic habitat modelling: An example for Lefua echigonia. ECOL INFORM 2021. [DOI: 10.1016/j.ecoinf.2021.101388] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Jiang Y, Ma Z, Zhang D. Flow field perception based on the fish lateral line system. BIOINSPIRATION & BIOMIMETICS 2019; 14:041001. [PMID: 30995633 DOI: 10.1088/1748-3190/ab1a8d] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Fish are able to perceive the surrounding weak flow and pressure variations with their mechanosensory lateral line system, which consists of a superficial lateral line for flow velocity detection and a canal lateral line for flow pressure gradient perception. Achieving a better understanding of the flow field perception algorithms of the lateral line can contribute not only to the design of highly sensitive flow sensors, but also to the development of underwater smart skin with good hydrodynamic imaging properties. In this review, we discuss highly sensitive flow-sensing mechanisms for superficial and canal neuromasts and flow field perception algorithms. Artificial lateral line systems with different transduction mechanisms are then described with special emphasis on the recent innovations in the field of polymer-based artificial flow sensors. Finally, we discuss our perspective of the technological challenges faced while improving flow sensitivity, durability, and sensing fusion schemes.
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Affiliation(s)
- Yonggang Jiang
- School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, People's Republic of China
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Costa MJ, Fuentes-Pérez JF, Boavida I, Tuhtan JA, Pinheiro AN. Fish under pressure: Examining behavioural responses of Iberian barbel under simulated hydropeaking with instream structures. PLoS One 2019; 14:e0211115. [PMID: 30673767 PMCID: PMC6343894 DOI: 10.1371/journal.pone.0211115] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 01/08/2019] [Indexed: 11/19/2022] Open
Abstract
Hydropeaking is the rapid change in the water flow downstream of a hydropower plant, driven by changes in daily electricity demand. These fluctuations may produce negative effects in freshwater fish. To minimize these impacts, previous studies have proposed habitat enhancement structures as potential mitigation measures for salmonids. However, the recommendation of these mitigation measures for cyprinids remains scarce and their effects unknown. In this study, the effects of potential habitat mitigation structures under simulated hydropeaking and base-flow conditions are examined for Iberian barbel (Luciobarbus bocagei) in an indoor flume. Solid triangular pyramids and v-shaped structures were evaluated as potential flow-refuging areas and compared with a configuration without structures. A novel, interdisciplinary approach is applied to investigate individual and group responses to rapidly changing flows, by assessing physiological (glucose and lactate), movement behaviour (structure use, sprints and drifts) and the pressure distribution using a fish-inspired artificial lateral line flow sensor. The major findings of this study are four-fold: 1) Under hydropeaking conditions, the v-shaped structures triggered a lactate response and stimulated individual structure use, whereas solid structures did not elicit physiological adjustments and favoured individual and group structure use. Overall, both solid structures and their absence stimulated sprints and drifts. 2) The hydrodynamic conditions created in hydropeaking did not always reflect increased physiological responses or swimming activity. 3) Each event-structure combination resulted in unique hydrodynamic conditions which were reflected in the different fish responses. 4) The most relevant flow variable measured was the pressure asymmetry, which is caused by the vortex size and shedding frequency of the structures. Considering the non-uniform nature of hydropeaking events, and the observation that the fish responded differently to specific flow event-structure combinations, a diverse set of instream structures should be considered for habitat-based hydropeaking mitigation measures for Iberian barbel.
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Affiliation(s)
- M. J. Costa
- Civil Engineering Research and Innovation for Sustainability, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
- Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Lisboa, Portugal
- * E-mail:
| | | | - I. Boavida
- Civil Engineering Research and Innovation for Sustainability, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
| | - J. A. Tuhtan
- Centre for Biorobotics, Tallinn University of Technology, Tallinn, Estonia
| | - A. N. Pinheiro
- Civil Engineering Research and Innovation for Sustainability, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
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