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Vilizzi L, Piria M, Pietraszewski D, Giannetto D, Flory SL, Herczeg G, Sermenli HB, Britvec M, Jukoniene I, Petrulaitis L, Vitasović-Kosić I, Almeida D, Al-Wazzan Z, Bakiu R, Boggero A, Chaichana R, Dashinov D, De Zoysa M, Gilles AS, Goulletquer P, Interesova E, Kopecký O, Koutsikos N, Koyama A, Kristan P, Li S, Lukas J, Moghaddas SD, Monteiro JG, Mumladze L, Oh C, Olsson KH, Pavia RT, Perdikaris C, Pickholtz R, Preda C, Ristovska M, Švolíková KS, Števove B, Ta KAT, Uzunova E, Vardakas L, Verreycken H, Wei H, Yoğurtçuoğlu B, Ferincz Á, Kirkendall LR, Marszał L, Paganelli D, Stojchevska C, Tarkan AS, Yazlık A. Development and application of a second-generation multilingual tool for invasion risk screening of non-native terrestrial plants. Sci Total Environ 2024; 917:170475. [PMID: 38296092 DOI: 10.1016/j.scitotenv.2024.170475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/24/2024] [Accepted: 01/24/2024] [Indexed: 02/03/2024]
Abstract
Under the increasing threat to native ecosystems posed by non-native species invasions, there is an urgent need for decision support tools that can more effectively identify non-native species likely to become invasive. As part of the screening (first step) component in non-native species risk analysis, decision support tools have been developed for aquatic and terrestrial organisms. Amongst these tools is the Weed Risk Assessment (WRA) for screening non-native plants. The WRA has provided the foundations for developing the first-generation WRA-type Invasiveness Screening Kit (ISK) tools applicable to a range of aquatic species, and more recently for the second-generation ISK tools applicable to all aquatic organisms (including plants) and terrestrial animals. Given the most extensive usage of the latter toolkits, this study describes the development and application of the Terrestrial Plant Species Invasiveness Screening Kit (TPS-ISK). As a second-generation ISK tool, the TPS-ISK is a multilingual turnkey application that provides several advantages relative to the WRA: (i) compliance with the minimum standards against which a protocol should be evaluated for invasion process and management approaches; (ii) enhanced questionnaire comprehensiveness including a climate change component; (iii) provision of a level of confidence; (iv) error-free computation of risk scores; (v) multilingual support; (vi) possibility for across-study comparisons of screening outcomes; (vii) a powerful graphical user interface; (viii) seamless software deployment and accessibility with improved data exchange. The TPS-ISK successfully risk-ranked five representative sample species for the main taxonomic groups supported by the tool and ten angiosperms previously screened with the WRA for Turkey. The almost 20-year continuous development and evolution of the ISK tools, as opposed to the WRA, closely meet the increasing demand by scientists and decision-makers for a reliable, comprehensive, updatable and easily deployable decision support tool. For terrestrial plant screening, these requirements are therefore met by the newly developed TPS-ISK.
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Affiliation(s)
- Lorenzo Vilizzi
- University of Lodz, Faculty of Biology and Environmental Protection, Department of Ecology and Vertebrate Zoology, 90-237 Lodz, Poland; University of Zagreb Faculty of Agriculture, Department of Fisheries, Apiculture, Wildlife Management and Special Zoology, 10000 Zagreb, Croatia
| | - Marina Piria
- University of Lodz, Faculty of Biology and Environmental Protection, Department of Ecology and Vertebrate Zoology, 90-237 Lodz, Poland; University of Zagreb Faculty of Agriculture, Department of Fisheries, Apiculture, Wildlife Management and Special Zoology, 10000 Zagreb, Croatia.
| | - Dariusz Pietraszewski
- University of Lodz, Faculty of Biology and Environmental Protection, Department of Ecology and Vertebrate Zoology, 90-237 Lodz, Poland; University of Zagreb Faculty of Agriculture, Department of Fisheries, Apiculture, Wildlife Management and Special Zoology, 10000 Zagreb, Croatia
| | - Daniela Giannetto
- Department of Biology, Faculty of Science, Muğla Sıtkı Koçman University, 48000 Muğla, Turkiye
| | - S Luke Flory
- Agronomy Department, University of Florida, Gainesville, FL 32601, USA
| | - Gábor Herczeg
- Department of Systematic Zoology and Ecology, Institute of Biology, ELTE-Eötvös Loránd University, Pázmány Péter ave 1/C, Budapest 1117, Hungary; HUN-REN-ELTE-MTM Integrative Ecology Research Group, Pázmány Péter ave 1/C, Budapest 1117, Hungary
| | - Hayrünisa Baş Sermenli
- Department of Biology, Faculty of Science, Muğla Sıtkı Koçman University, 48000 Muğla, Turkiye
| | - Mihaela Britvec
- University of Zagreb Faculty of Agriculture, Department of Agricultural Botany, 10000 Zagreb, Croatia
| | - Ilona Jukoniene
- Nature Research Centre, Institute of Botany, 12200 Vilnius, Lithuania
| | - Lukas Petrulaitis
- Nature Research Centre, Institute of Botany, 12200 Vilnius, Lithuania
| | - Ivana Vitasović-Kosić
- University of Zagreb Faculty of Agriculture, Department of Agricultural Botany, 10000 Zagreb, Croatia
| | - David Almeida
- Department of Basic Medical Sciences, School of Medicine, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28668 Boadilla del Monte, Spain
| | | | - Rigers Bakiu
- Department of Aquaculture and Fisheries, Faculty of Agriculture and Environment, Agricultural University of Tirana, Tirana 1000, Albania; Albanian Center for Environmental Protection and Sustainable Development, Tirana 1000, Albania
| | - Angela Boggero
- National Research Council-Water Research Institute (CNR-IRSA), 28922 Verbania Pallanza, Italy
| | - Ratcha Chaichana
- Department of Environmental Technology and Management, Faculty of Environment, Kasetsart University, Bangkok 10900, Thailand
| | - Dimitriy Dashinov
- Department of General and Applied Hydrobiology, Faculty of Biology, Sofia University, 1164 Sofia, Bulgaria
| | - Mahanama De Zoysa
- College of Veterinary Medicine and Research, Institute of Veterinary Medicine, Chungnam National University, Daejeon 34134, Republic of Korea
| | - Allan S Gilles
- Department of Biological Sciences, College of Science, Research Center for the Natural and Applied Sciences, The Graduate School, University of Santo Tomas, Manila, 1008, Metro Manila, Philippines
| | - Philippe Goulletquer
- Scientific Direction, French Research Institute for Exploitation of the Sea (IFREMER), 44311 Nantes, France
| | - Elena Interesova
- Tomsk State University, Tomsk 634050, Russia; Institute of Systematics and Ecology of Animals, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia; Novosibirsk Branch of Russian Federal Research Institute of Fisheries and Oceanography, Novosibirsk 630090, Russia
| | - Oldřich Kopecký
- Department of Zoology and Fisheries, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, 165 00 Praha, Czechia
| | - Nicholas Koutsikos
- Hellenic Centre for Marine Research, Institute of Marine Biological Resources & Inland Waters, Anavissos PO 19013, Attica, Greece
| | - Akihiko Koyama
- Fishery Research Laboratory, Kyushu University, Fukuoka 811-3304, Japan
| | - Petra Kristan
- University of Zagreb Faculty of Agriculture, Department of Fisheries, Apiculture, Wildlife Management and Special Zoology, 10000 Zagreb, Croatia
| | - Shan Li
- Natural History Research Center, Shanghai Natural History Museum, Branch of Shanghai Science & Technology Museum, Shanghai 200041, China
| | - Juliane Lukas
- Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany; Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Faculty of Life Sciences, Humboldt University of Berlin, 10099 Berlin, Germany
| | - Seyed Daryoush Moghaddas
- Department of Biodiversity and Ecosystems Management, Environmental Sciences Research Institute, Shahid Beheshti University, 1983963113 Tehran, Iran
| | - João G Monteiro
- Faculty of Life Sciences, University of Madeira, 9000-072 Funchal, Portugal; MARE - Marine and Environmental Sciences Centre, Regional Agency for the Development of Research (ARDITI), 9000-072 Funchal, Portugal
| | - Levan Mumladze
- Institute of Zoology, Ilia State University, Tbilisi 0162, Georgia
| | - Chulhong Oh
- Jeju Bio Research Center, Korea Institute of Ocean Science and Technology, Gujwa-eup, Jeju 63349, Republic of Korea
| | - Karin H Olsson
- School of Zoology, Tel Aviv University, Tel Aviv 6997801, Israel; The Inter-University Institute for Marine Sciences in Eilat, Coral Beach, Eilat 8810302, Israel
| | - Richard T Pavia
- Department of Biological Sciences, College of Science, Research Center for the Natural and Applied Sciences, The Graduate School, University of Santo Tomas, Manila, 1008, Metro Manila, Philippines
| | - Costas Perdikaris
- Department of Fisheries, Regional Unit of Thesprotia, Region of Epirus, 46 100 Igoumenitsa, Greece
| | | | - Cristina Preda
- Faculty of Natural and Agricultural Sciences, Ovidius University of Constanta, Constanta 900470, Romania
| | - Milica Ristovska
- Institute of Biology, Faculty of Natural Sciences and Mathematics, University "Ss. Cyril and Methodius", 1000 Skopje, North Macedonia
| | - Kristína Slovák Švolíková
- Department of Ecology, Faculty of Natural Sciences, Comenius University, 842 15 Mlynská dolina, Bratislava, Slovakia
| | - Barbora Števove
- Department of Ecology, Faculty of Natural Sciences, Comenius University, 842 15 Mlynská dolina, Bratislava, Slovakia
| | - Kieu Anh T Ta
- Nature and Biodiversity Conservation Agency, Ministry of Natural Resources and Environment, 10 Ton That Thuyet, Nam Tu Liem District, Hanoi, Viet Nam
| | - Eliza Uzunova
- Department of General and Applied Hydrobiology, Faculty of Biology, Sofia University, 1164 Sofia, Bulgaria
| | - Leonidas Vardakas
- Hellenic Centre for Marine Research, Institute of Marine Biological Resources & Inland Waters, Anavissos PO 19013, Attica, Greece
| | - Hugo Verreycken
- Research Institute for Nature and Forest (INBO), B-1630 Linkebeek, Belgium
| | - Hui Wei
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Prevention and Control for Aquatic Invasive Alien Species, Ministry of Agriculture and Rural Affairs, Key Laboratory of Alien Species and Ecological Security, Chinese Academy of Fisheries Science, Guangzhou, Guangdong 510380, PR China
| | - Baran Yoğurtçuoğlu
- Hydrobiology Section, Department of Biology, Faculty of Science, Hacettepe University, Çankaya-Ankara 06800, Turkiye
| | - Árpád Ferincz
- Department of Freshwater Fish Ecology, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Gödöllő 2100, Hungary
| | | | - Lidia Marszał
- University of Lodz, Faculty of Biology and Environmental Protection, Department of Ecology and Vertebrate Zoology, 90-237 Lodz, Poland
| | - Daniele Paganelli
- Department of Earth and Environmental Sciences, University of Pavia, 27100 Pavia, Italy
| | - Cvetanka Stojchevska
- Institute of Biology, Faculty of Natural Sciences and Mathematics, University "Ss. Cyril and Methodius", 1000 Skopje, North Macedonia
| | - Ali Serhan Tarkan
- University of Lodz, Faculty of Biology and Environmental Protection, Department of Ecology and Vertebrate Zoology, 90-237 Lodz, Poland; Department of Basic Sciences, Faculty of Fisheries, Muğla Sıtkı Koçman University, 48000 Muğla, Turkiye; Department of Life and Environmental Sciences, Faculty of Science and Technology, Bournemouth University, Poole BH12 5BB, Dorset, UK
| | - Ayşe Yazlık
- Department of Plant Protection, Faculty of Agriculture, Düzce University, 81620 Düzce, Turkiye
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Elings J, Mawer R, Bruneel S, Pauwels IS, Pickholtz E, Pickholtz R, Coeck J, Schneider M, Goethals P. Linking fine-scale behaviour to the hydraulic environment shows behavioural responses in riverine fish. Mov Ecol 2023; 11:50. [PMID: 37550738 PMCID: PMC10408093 DOI: 10.1186/s40462-023-00413-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 07/24/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Fish migration has severely been impacted by dam construction. Through the disruption of fish migration routes, freshwater fish communities have seen an incredible decline. Fishways, which have been constructed to mitigate the problem, have been shown to underperform. This is in part due to fish navigation still being largely misunderstood. Recent developments in tracking technology and modelling make it possible today to track (aquatic) animals at very fine spatial (down to one meter) and temporal (down to every second) scales. Hidden Markov models are appropriate models to analyse behavioural states at these fine scales. In this study we link fine-scale tracking data of barbel (Barbus barbus) and grayling (Thymallus thymallus) to a fine-scale hydrodynamic model. With a HMM we analyse the fish's behavioural switches to understand their movement and navigation behaviour near a barrier and fishway outflow in the Iller river in Southern Germany. METHODS Fish were tracked with acoustic telemetry as they approached a hydropower facility and were presented with a fishway. Tracking resulted in fish tracks with variable intervals between subsequent fish positions. This variability stems from both a variable interval between tag emissions and missing detections within a track. After track regularisation hidden Markov models were fitted using different parameters. The tested parameters are step length, straightness index calculated over a 3-min moving window, and straightness index calculated over a 10-min window. The best performing model (based on a selection by AIC) was then expanded by allowing flow velocity and spatial velocity gradient to affect the transition matrix between behavioural states. RESULTS In this study it was found that using step length to identify behavioural states with hidden Markov models underperformed when compared to models constructed using straightness index. Of the two different straightness indices assessed, the index calculated over a 10-min moving window performed better. Linking behavioural states to the ecohydraulic environment showed an effect of the spatial velocity gradient on behavioural switches. On the contrary, flow velocity did not show an effect on the behavioural transition matrix. CONCLUSIONS We found that behavioural switches were affected by the spatial velocity gradient caused by the attraction flow coming from the fishway. Insight into fish navigation and fish reactions to the ecohydraulic environment can aid in the construction of fishways and improve overall fishway efficiencies, thereby helping to mitigate the effects migration barriers have on the aquatic ecosystem.
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Affiliation(s)
- J Elings
- Department of Animal Sciences and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
| | - R Mawer
- Department of Animal Sciences and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - S Bruneel
- Department of Animal Sciences and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - I S Pauwels
- Research Institute of Nature and Forest (INBO), Brussels, Belgium
| | - E Pickholtz
- Independent Researcher, East Brunswick, NJ, USA
| | - R Pickholtz
- School of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, 69978, Tel Aviv, Israel
- The Interuniversity Institute for Marine Sciences of Eilat, 88103, Eilat, Israel
| | - J Coeck
- Research Institute of Nature and Forest (INBO), Brussels, Belgium
| | - M Schneider
- sje Ecohydraulic Engineering GmbH, Stuttgart, Germany
| | - P Goethals
- Department of Animal Sciences and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
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Mawer R, Bruneel SP, Pauwels IS, Elings J, Pickholtz E, Pickholtz R, Schneider M, Coeck J, Goethals PLM. Individual variation in the habitat selection of upstream migrating fish near a barrier. Mov Ecol 2023; 11:49. [PMID: 37550782 PMCID: PMC10405436 DOI: 10.1186/s40462-023-00414-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 07/25/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Migration is a vital element of the life cycle of many freshwater fish species but is increasingly hampered globally by riverine barriers. Fish passes are a common approach to enable migration past barriers but are often ineffective. More knowledge is required on fish behaviour as they approach barriers such as habitat preferences. METHODS We evaluate the habitat selection of two upstream migrating fish species, barbel Barbus barbus and grayling Thymallus thymallus, at a hydropower plant in southern Germany, considering individual variation and population trends. Fish were tracked via fine-scale 2D acoustic telemetry in 2018 during their spawning migration. Step selection functions were used to evaluate selection of hydraulic parameters by the fish for a time step of 20 s. Exploratory models were built via model selection for each individual fish, to evaluate the extent of individual variation in model structure. A population model was developed for each species by averaging coefficients from individual models to describe general trends. The extent of individual variation was determined and confidence intervals for the population model coefficients were calculated. RESULTS Fish varied greatly in individual model structure though common terms were apparent in both species, such as depth, flow velocity, the angular difference between fish and velocity, and the logarithm of the step length. Final population models for barbel included several parameters describing habitat selection and displacement. Barbel selected for faster flows, deeper water, and higher spatial velocity gradients. In addition, they selected to move more with the flow than against. Interactions were also present between habitat parameters, suggesting selection is context dependent. Barbel movement speed also changed with depth, flow velocity and spatial velocity gradient. With grayling, terms often had contrasting effects among individuals and thus general trends could not be distinguished for most terms. CONCLUSION Our findings demonstrate habitat selection by upstream migrating fish approaching a fish pass and differences in individual selection which may have an impact on barrier management. Step selection functions are a promising approach and can provide useful insight into habitat selection and movement by migrating freshwater fish in an altered river system.
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Affiliation(s)
- Rachel Mawer
- Department of Animal Sciences and Aquatic Ecology, Ghent University, Ghent, Belgium.
- SJE Ecohydraulic Engineering, Backnang, Germany.
| | - Stijn P Bruneel
- Department of Animal Sciences and Aquatic Ecology, Ghent University, Ghent, Belgium
| | - Ine S Pauwels
- Research Institute for Nature and Forest (INBO), Brussels, Belgium
| | - Jelger Elings
- Department of Animal Sciences and Aquatic Ecology, Ghent University, Ghent, Belgium
| | | | - Renanel Pickholtz
- School of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
- The Interuniversity Institute for Marine Sciences of Eilat, Eilat, Israel
| | | | - Johan Coeck
- Research Institute for Nature and Forest (INBO), Brussels, Belgium
| | - Peter L M Goethals
- Department of Animal Sciences and Aquatic Ecology, Ghent University, Ghent, Belgium
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Vilizzi L, Piria M, Pietraszewski D, Kopecký O, Špelić I, Radočaj T, Šprem N, Ta KAT, Tarkan AS, Weiperth A, Yoğurtçuoğlu B, Candan O, Herczeg G, Killi N, Lemić D, Szajbert B, Almeida D, Al-Wazzan Z, Atique U, Bakiu R, Chaichana R, Dashinov D, Ferincz Á, Flieller G, Gilles Jr AS, Goulletquer P, Interesova E, Iqbal S, Koyama A, Kristan P, Li S, Lukas J, Moghaddas SD, Monteiro JG, Mumladze L, Olsson KH, Paganelli D, Perdikaris C, Pickholtz R, Preda C, Ristovska M, Švolíková KS, Števove B, Uzunova E, Vardakas L, Verreycken H, Wei H, Zięba G. Development and application of a multilingual electronic decision-support tool for risk screening non-native terrestrial animals under current and future climate conditions. NB 2022. [DOI: 10.3897/neobiota.76.84268] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Electronic decision-support tools are becoming an essential component of government strategies to tackle non-native species invasions. This study describes the development and application of a multilingual electronic decision-support tool for screening terrestrial animals under current and future climate conditions: the Terrestrial Animal Species Invasiveness Screening Kit (TAS-ISK). As an adaptation of the widely employed Aquatic Species Invasiveness Screening Kit (AS-ISK), the TAS-ISK question template inherits from the original Weed Risk Assessment (WRA) and related WRA-type toolkits and complies with the ‘minimum requirements’ for use with the recent European Regulation on invasive alien species of concern. The TAS-ISK consists of 49 basic questions on the species’ biogeographical/historical traits and its biological/ecological interactions, and of 6 additional questions to predict how climate change is likely to influence the risks of introduction, establishment, dispersal and impact of the screened species. Following a description of the main features of this decision-support tool as a turnkey software application and of its graphical user interface with support for 32 languages, sample screenings are provided in different risk assessment areas for one representative species of each of the main taxonomic groups of terrestrial animals supported by the toolkit: mammals, birds, reptiles, amphibians, annelids, insects, molluscs, nematodes, and platyhelminths. The highest-scoring species were the red earthworm Lumbricus rubellus for the Aegean region of Turkey and the New Zealand flatworm Arthurdendyus triangulatus for Croatia. It is anticipated that adoption of this toolkit will mirror that of the worldwide employed AS-ISK, hence allowing to share information and inform decisions for the prevention of entry and/or dispersal of (high-risk) non-native terrestrial animal species – a crucial step to implement early-stage control and eradication measures as part of rapid-response strategies to counteract biological invasions.
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Givon S, Pickholtz R, Pickholtz EY, Ben-Shahar O, Kiflawi M, Segev R. Toward Naturalistic Neuroscience of Navigation: Opportunities in Coral Reef Fish. Front Neural Circuits 2022; 16:895381. [PMID: 35874430 PMCID: PMC9298462 DOI: 10.3389/fncir.2022.895381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 05/30/2022] [Indexed: 11/13/2022] Open
Abstract
The ability to navigate in the world is crucial to many species. One of the most fundamental unresolved issues in understanding animal navigation is how the brain represents spatial information. Although navigation has been studied extensively in many taxa, the key efforts to determine the neural basis of navigation have focused on mammals, usually in lab experiments, where the allocated space is typically very small; e.g., up to one order of magnitude the size of the animal, is limited by artificial walls, and contains only a few objects. This type of setting is vastly different from the habitat of animals in the wild, which is open in many cases and is virtually limitless in size compared to its inhabitants. Thus, a fundamental open question in animal navigation is whether small-scale, spatially confined, and artificially crafted lab experiments indeed reveal how navigation is enacted in the real world. This question is difficult to study given the technical problems associated with in vivo electrophysiology in natural settings. Here, we argue that these difficulties can be overcome by implementing state of the art technology when studying the rivulated rabbitfish, Siganus rivulatus as the model animal. As a first step toward this goal, using acoustic tracking of the reef, we demonstrate that individual S. rivulatus have a defined home range of about 200 m in length, from which they seldom venture. They repeatedly visit the same areas and return to the same sleeping grounds, thus providing evidence for their ability to navigate in the reef environment. Using a clustering algorithm to analyze segments of daily trajectories, we found evidence of specific repeating patterns in behavior within the home range of individual fish. Thus, S. rivulatus appears to have the ability to carry out its daily routines and revisit places of interest by employing sophisticated means of navigation while exploring its surroundings. In the future, using novel technologies for wireless recording from single cells of fish brains, S. rivulatus can emerge as an ideal system to study the neural basis of navigation in natural settings and lead to “electrophysiology in the wild.”
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Affiliation(s)
- Shachar Givon
- Department of Life Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.,Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Renanel Pickholtz
- School of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.,The Interuniversity Institute for Marine Sciences, Eilat, Israel
| | | | - Ohad Ben-Shahar
- Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beersheba, Israel.,Department of Computer Science, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Moshe Kiflawi
- Department of Life Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.,The Interuniversity Institute for Marine Sciences, Eilat, Israel
| | - Ronen Segev
- Department of Life Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.,Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beersheba, Israel.,Department of Biomedical Engineering, Ben-Gurion University of the Negev, Beersheba, Israel
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Escalas A, Auguet JC, Avouac A, Belmaker J, Dailianis T, Kiflawi M, Pickholtz R, Skouradakis G, Villéger S. Shift and homogenization of gut microbiome during invasion in marine fishes. Anim Microbiome 2022; 4:37. [PMID: 35659312 PMCID: PMC9167558 DOI: 10.1186/s42523-022-00181-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 04/04/2022] [Indexed: 11/17/2022] Open
Abstract
Biological invasion is one of the main components of global changes in aquatic ecosystems. Unraveling how establishment in novel environments affects key biological features of animals is a key step towards understanding invasion. Gut microbiome of herbivorous animals is important for host health but has been scarcely assessed in invasive species. Here, we characterized the gut microbiome of two invasive marine herbivorous fishes (Siganus rivulatus and Siganus luridus) in their native (Red Sea) and invaded (Mediterranean Sea) ranges. The taxonomic and phylogenetic diversity of the microbiome increased as the fishes move away from the native range and its structure became increasingly different from the native microbiome. These shifts resulted in homogenization of the microbiome in the invaded range, within and between the two species. The shift in microbial diversity was associated with changes in its functions related with the metabolism of short-chain fatty acids. Altogether, our results suggest that the environmental conditions encountered by Siganidae during their expansion in Mediterranean ecosystems strongly modifies the composition of their gut microbiome along with its putative functions. Further studies should pursue to identify the precise determinants of these modifications (e.g. changes in host diet or behavior, genetic differentiation) and whether they participate in the ecological success of these species.
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Affiliation(s)
- Arthur Escalas
- MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Montpellier, France
| | | | - Amandine Avouac
- MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Montpellier, France
| | - Jonathan Belmaker
- The Steinhardt Museum of Natural History, Tel Aviv University, Tel Aviv-Yafo, Israel.,George S. Wise Faculty of Life Sciences, School of Zoology, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Thanos Dailianis
- Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine Research, 71003, Heraklion, Greece
| | - Moshe Kiflawi
- The Department of Life Sciences, Ben Gurion University, 84102, Beer Sheva, Israel.,The Inter-University Institute for Marine Sciences, 88103, Eilat, Israel
| | - Renanel Pickholtz
- George S. Wise Faculty of Life Sciences, School of Zoology, Tel Aviv University, Tel Aviv-Yafo, Israel.,The Inter-University Institute for Marine Sciences, 88103, Eilat, Israel
| | - Grigorios Skouradakis
- Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine Research, 71003, Heraklion, Greece
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