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96 results for “fish behaviour”
Data from: How do seabirds modify their search behaviour when encountering fishing boats?
Seabirds are well known to be attracted by fishing boats to forage on offal and baits. We used recently developed loggers that record accurate GPS position and detect the presence of boats through their radar emissions to examine how albatrosses use Area Restricted Search (ARS) and if so, have specific ARS behaviours, when attending boats. As much as 78.5% of locations with a radar detection (contact with boat) during a trip occurred within ARS: 36.8% of all large-scale ARS (n=212) and 14.7% of all small-scale ARS (n=1476) were associated with the presence of a boat. During small-scale ARS, birds spent more time and had greater sinuosity during boat-associated ARS compared with other ARS that we considered natural. For, small-scale ARS associated with boats, those performed over shelves were longer in duration, had greater sinuosity, and birds spent more time sitting on water compared with oceanic ARS associated with boats. We also found that the proportion of small-scale ARS tend to be more frequently nested in larger-scale ARS was higher for birds associated with boats and that ARS behaviour differed between oceanic (tuna fisheries) and shelf-edge (mainly Patagonian toothfish fisheries) habitats. We suggest that, in seabird species attracted by boats, a significant amount of ARS behaviours are associated with boats, and that it is important to be able to separate ARS behaviours associated to boats from natural searching behaviours. Our study suggest that studying ARS characteristics should help attribute specific behaviours associated to the presence of boats and understand associated risks between fisheries.
Context-dependent multimodal behaviour in a coral reef fish: Stage 1 & 2 total duration and count data in behaviour trials
<p>Animals are expected to respond flexibly to changing circumstances, with multimodal signalling providing potential plasticity in social interactions. Whilst numerous studies have documented context-dependent behavioural trade-offs in terrestrial species, far less work has considered such decision-making in fish, especially in natural conditions. Coral reef ecosystems host 25% of all known marine species, making them hotbeds of competition and predation. We conducted experiments with wild Ambon damselfish (<em>Pomacentrus amboinensis)</em> to investigate context-dependent responses to a conspecific intruder; specifically, how nest defence is influenced by an elevated predation risk. We found that nest-defending male Ambon damselfish responded aggressively to a conspecific intruder, spending less time sheltering and more time interacting, as well as signalling both visually and acoustically. In the presence of a model predator compared to a model herbivore, males spent less time interacting with the intruder, with a tendency towards reduced investment in visual displays compensated for by an increase in acoustic signalling instead. We therefore provide ecologically valid evidence that the context experienced by an individual can affect its behavioural responses and multimodal displays towards conspecific threats.</p>
Figure S2 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River
Figure S2. – Cumulative distance and number of recorded movements upstream and downstream versus waterflow between October 2020 and March 2021 for European catfish.
Figure 10 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River
Figure 10. – Correspondence of the positions of the pike no 64 and the European catfish no. 117 on the 2nd and 4th or February. The cross corresponds to the place where the pike's tag was retrieved, on the 17th of February. The European catfish is seen alone in the river nearby on the 23rd.
Figure 9 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River
Figure 9. – Distance (in meters) from the Berry-au-Bac dam KP of the 5 smaller catfishes (light) and the two larger (dark) versus time (a) or size (b)
Figure 8 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River
Figure 8. – Successive positions of the pike no. 166 during and after flood and supposed route that was followed.
Figure 5 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River
Figure 5. – Kilometric points recorded (A) and fixes (B) of the pike no 83 between October 2020 and March 2021.
Figure 4 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River
Figure 4. – Kilometric points recorded (A) and fixes (B) of the pike no 155 between October 2020 and March 2021.
Figure 1 in Behaviour of two predator fishes Esox lucius Linnaeus, 1758 and Silurus glanis Linnaeus, 1758 during two successive floods in the French Aisne River
Figure 1. – Map of the study site and locations of fixed antennas, points of interest, and maximum extension of the flooded area estimated from field observations, GPS recordings and analysis of the contours of the land.
Fig. 3 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 3. Image illustrating under water visibility at the beginning of the snorkeling excursion and the presence of tourists (Lima, 2008).
Fig. 1 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 1. Map showing the location of the study area: Sucuri River (C), município of Bonito area (B), Brazil (A). Adapted from Miranda & Coutinho (2004).
Fig. 8 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 8. Variation of behaviour patterns between before (8h00) and after (9h00) the first disturbance of tourists in the river (mean and SEM) for M. bonita; (a) Tourism and (b) No Tourism. Lighter bars = 8h00; darker bars = 9h00 (Mann-Whitney U-test). N = 70; * p <0.05; ** p <0.01.
Fig. 9 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 9. Variation (mean and SEM) of cortisol responses to restraining stress in Moenkhausia bonita individuals at the No Tourism and Tourism sites (Mann-Whitney U-test, N = 6; Z = -2.95; p <0.005).
Review of Recent Trends in Measuring the Computing Systems Intelligence-igure 2. Intelligence of different living creature (accessed 01.11.2017). 2.1. A crow solving a complex task (https://www.disclose.tv/spooky-genius-crow-had-to-be-removed-from-scientific-experiment- 314886). 2.2. A group of dolphins with a social behaviour (http://www.sciencemag.org/news/2012/04/teamwork-builds-big-brains); 2.3. An orangutan that use a spear to fish (https://primatology.net/2008/04/29/orangutan-photographed-using-tool-as-spear-to-fish)
<p>Some species of birds have been shown capable of using different tools. Many studies consider the crows as very intelligent. Smirnova, Lazareva, and Zorina (2000) suggested that crows have some kind of numerical ability. Figure 2.1 presents a crow that uses a tool, a small stone in order to catch a worm from a glass of water.The dolphins in many studies are considered intelligent at the individual level. An advanced ability of dolphins is the self-awareness. Marten and Psarakos (1995) presented an interesting study based on self-view television to distinguish between self-examination and social behavior in the Bottlenose dolphin. The most well-known abilities of dolphins are to teach, learn and cooperate. Dolphins have a complex communication and social behaviour. Figure 2.2 presents the image of a common group of dolphins. Some studies prove that primates are one of the most intelligent in the class of animals (Reader, Hager, & Laland, 2011). Orangutans are one of the most intelligent primates. The ability of orangutans to use different types of tools in order to perform tasks is well-known. Figure 2.3 presents an orangutan that uses a spear to catch fish. The orangutans can be considered intelligent at individual level.</p>
Review of Recent Trends in Measuring the Computing Systems Intelligence-Figure 1. Intelligence of different simple living creature (accessed 01.11.2017). 1.1. A carnivorous plants catching an insect (https://phys.org/news/2016-05-colombia-peace-reveal-jungle-species.html); 1.2. A colony of ants solving a very complex task (https://mappingignorance.org/2016/05/27/rafting-ants); 1.3. The collective behaviour of a school of fish (https://simple.wikipedia.org/wiki/Shoaling_and_schooling)
<p>The biological intelligence of different life forms, ranging from very simple (such as plants) to very complex (such as humans) is the subject of many studies and a large amount of research. Frequent studies related to different kind of biological intelligence include: the intelligence of horses (Krueger, & Heinze, 2008; Krueger, Farmer, & Heinze, 2014; Schuetz, Farmer, & Krueger, 2016), intelligence of pigs (Broom, Sena, & Moynihan, 2009), intelligence of dogs (Coren, 1995), intelligence of primates (Reader, Hager, & Laland, 2011) and so one. Figures 1, 2, and 3 present some biological life forms that are frequently considered intelligent. Trewavas (2002; 2005) considered that plants intelligence should be based on principles such as their ability to adjust their morphology, and phenotype accordingly to ensure self- preservation and reproduction. Figure 1.1 presents an intelligent plant (carnivorous) that uses a strategy for catching very fast flying insects. In order to eat the insect, it makes a movement. Figure 1.1 presents the catching of an insect by a carnivorous plant. The intelligence of colonies of ants, termites and other insects that live in large colonies is considered at the colony level (Brady, Fisher, Schultz, & Ward, 2014; Johnson, Borowiec, Chiu, Lee, Atallah, & Ward, 2013). Figure 1.2 presents the coherent intelligent surviving behaviour of a colony of a species of ants. The ants make a structural reorganization in order to move on the surface of the water. Figure 1.3 presents a very large school of fish with an intelligent coherent collective feeding and self-protecting behaviour. Each individual fish has a very simple behavior. Based on this it cannot be considered intelligent. The intelligence in large schools of fish emerges at the collective level (Shaw, 1978; Parrish, Viscedo, & Grunbaum, 2002).</p>
Fig. 6 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour
Fig. 6. Above: Retreat of the Pilcomayo River and dynamic creation of new flood plains due to self-blockage (silting up) of the river channel. This caused a retreat of hundreds of kilometers of the choke point in a few decades (indicated by the black arrow) and an upstream migration of the flood plains. Bullets indicate migrating Sábalo population in the Pilcomayo River (white) and Sábalo population in the La Plata basin (black). Below: Breakthrough of Pilcomayo River bank inundating new areas in the Chaco floodplain area.
Fig. 5 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour
Fig. 5. (a) Mean annual discharge and Sábalo catches over the years in the Pilcomayo River near Villa Montes. (b) Calculated and observed Sábalo catches based on the data presented in Fig. 4a. Correlations were obtained by stepwise multiple linear regression with backward selection (SPSS v. 15.0). The river discharge of the seven preceding years (Y1-Y7) plus the current year (Y0) were used in the analyses. The solid line is based upon the years 1980-2006. The dashed line is based upon the years 1997-2007. (c) Observed Sábalo catches plotted against the calculated Sábalo catches for the years 1980-1996 and 1997- 2006. Data of Sábalo catches and mean river discharges were obtained from Proyecto Pilcomayo (Tarija, Bolivia).
Fig. 4 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour
Fig. 4. (a) Mean annual discharge for the Pilcomayo River since 1960. The values were calculated for the hydrological year, which runs from October of the previous year until September of the current year. Data were obtained from Proyecto Pilcomayo (Tarija, Bolivia). (b) Mean monthly values of the Southern Oscillation Index (dots) and mean annual discharges of the Pilcomayo River (open circles), since 1976. Mean annual discharge values were calculated from data obtained from Proyecto Pilcomayo (Tarija, Bolivia). The values were calculated for the hydrological year, which runs from October of the previous year until September of the current year.
Fig. 3 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour
Fig. 3. Total dissolved solids concentration (TDS) in Pilcomayo River water (a) or water temperature (b) and gonadal maturation indices of Sábalo (Prochilodus lineatus) fish versus time (May 1998 until February 1999). The gonadal maturation indices are scaled from 1 to 6 in which 6 represents spawning.
Datasets and R source code of manuscript "From behaviour to complex communities: Resilience to anthropogenic noise in a fish-induced trophic cascade" by Emilie Rojas et al.
<p>Datasets and R source code of manuscript "From behaviour to complex communities: Resilience to anthropogenic noise in a fish-induced trophic cascade" by Emilie Rojas et al.</p>
ScienceDex guides
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.