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15 results for “hunting by humans”
Data for: Hunting mode and habitat selection mediate the success of human hunters
<p class="MsoNormal"><span>As a globally widespread apex predator, humans have unprecedented lethal and non-lethal effects on prey populations and ecosystems<span>. </span>Yet compared to non-human predators<span>, little is known about the </span>drivers and consequences of<span> </span>human<span> hunt</span>ing behavior<span>.<strong> </strong>Here, we characterized the hunting modes, habi</span>tat selection,<span> and harvest success of 483 rifle hunters in California</span> using<span> high-resolu</span>tion <span>GPS </span>data<span>. We used Hidden Markov Models to characterize fine-scale behavior, and k-means clustering to group hunters by hunting mode, on the basis of their time spent in each behavioral state. Hunters exhibited three distinct and successful hunting modes ("coursing", "stalking", and "sit-and-wait"), with stalking as the most successful strategy. Across hunting modes, there was variation in patterns of selection for roads, topography, and habitat cover, with </span>important<span> differences in habitat use of successful and unsuccessful hunters across modes. Our study indicates that hunters can successfully employ a diversity of harvest strategies, and </span>that<span> hunting success </span>is <span>mediated by the </span>interacting effects of<span> hunting mod</span>e and <span>landscape features. Such results high</span>light the breadth of human hunting modes, even within a single hunting technique, and lend insight into the varied ways that humans exert predation pressure on wildlife.</span></p>
Human animal hunting audio dataset
<p>YouTube collected audio samples from human hunting animals, such as Coyotes, Bobcats, Wild Boars.</p> <p>The samples are in MP3 format, having a maximum duration of 3 seconds.</p> <p>The audio was classified by a semi-supervised process using a sound event classification system. </p>
Data for: Hunting mode and habitat selection mediate the success of human hunters
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Environmental and anthropogenic features in relation to human hunting and wolf predation risk
<p>Landscape characteristics, seasonal changes in the environment, and daylight conditions influence space use and detection of prey and predators, resulting in spatiotemporal patterns of predation risk for the prey. When predators have different hunting modes, the combined effects of multiple predators are mediated by the physical landscape and can result in overlapping or contrasting patterns of predation risk. Humans have become super predators in many anthropogenic landscapes by harvesting games species and competing with large carnivores for prey. Previous studies have focused on how the physical environment mediates risk from human hunters and ambush predators, but very little knowledge exists on how risk from hunters and cursorial predators is linked to habitat characteristics. Here, we used the locations of wolf (<em>Canis lupus</em>)-killed and hunter-killed moose (<em>Alces alces</em>) in south-central Scandinavia to investigate whether environmental and anthropogenic features within the landscape influenced where wolves and hunters killed moose. We predicted that due to differences in hunting modes between wolves and hunters, the combined effects of these two predators would result in contrasting patterns of spatial risk. Nonetheless, we expected these contrasting spatial patterns of risk to also contrast temporally, with wolves and hunters killing predominantly at night and during the day, respectively. During the moose hunting season, the probability of a wolf kill increased with wolf space use, whereas it decreased with increasing distance to forest roads, building density and distance to young forests and clear-cuts. After the moose hunting season, the probability of a wolf kill increased with increasing moose density, wolf space use and terrain ruggendess, while it decreased with increasing building density, distance to main and secondary roads and distance to young forests and clear-cuts. The probability of a hunter kill was highest closer to bogs, main and secondary roads, in areas with greater moose density, less rugged terrain and higher building density. Hunters killed all moose during the day, whereas wolves killed most moose at nighttime both during and after the hunting season. Our findings suggest that both environmental and anthropogenic features mediate hunting and wolf predation risk. Additionally, we found that hunter- and wolf-killed moose exhibited contrasting spatial associations to landscape features, most likely as a result of the different hunting modes and needs exhibited by hunters and wolves. However, wolf predation risk and hunting risk also contrasted in time, since wolves killed mostly at night and hunters were restricted to hunting during daytime and during the hunting season. This temporal segregation in risk might therefore suggest that moose could minimize risk exposure by taking advantage of spatiotemporally vacant hunting domains.</p>
Intensive hunting fundamentally changes human-wildlife relationships
<p>Wildlife alter their behaviors in a trade-off between consuming food and fear of becoming food themselves. The risk allocation hypothesis posits that variation in the scale, intensity, and longevity of predation threats can influence the magnitude of antipredator behavioral responses. Hunting by humans represents a threat to wildlife thought to be perceived as similar to those of a top predator, although hunting intensity and duration vary widely around the world. Here we evaluate the effects of hunting pressure on wildlife by comparing how two communities of mammals under different management schemes differ in their relative abundance and response to humans. Using camera traps to survey wildlife across disturbance levels (yards, farms, forests) in similar landscapes in southern Germany and the southeastern USA, we tested the prediction of the risk allocation hypothesis: that the higher intensity and longevity of hunting in Germany (year-round vs 3 months, 4x higher harvest/km<sup>2</sup>) would reduce relative abundance of hunted species and result in a more significant fear-based response to humans (i.e., more spatial and temporal avoidance). We further evaluated how changes in animal abundance and behavior would result in potential changes to ecological impacts (i.e., herbivory and predation). We found that hunted species were relatively less abundant in Germany and less associated with humans on the landscape (i.e., yards and urban areas), but did not avoid humans temporally in hunted areas while hunted species in the USA showed the opposite pattern. These results are consistent with the risk allocation hypothesis where we would expect more spatial avoidance in response to threats of longer duration (i.e., year-round hunting in Germany vs. 3-month duration in USA) and less spatial avoidance but more temporal avoidance for threats of shorter duration. The expected ecological impacts of mammals in all three habitats were quite different between countries, most strikingly due to the decreases in the relative abundance of hunted species in Germany, particularly deer, with no proportional increase in unhunted species, resulting in American yards facing the potential for 25x more herbivory than German yards. Our results suggest that the duration and intensity of managed hunting can have strong and predictable effects on animal abundance and behavior, with corresponding changes in the ecological impacts of wildlife. This shows that hunting can be an effective tool for reducing wildlife conflict due to overabundance but may require more intensive harvest than is seen in much of North America.</p>
Hunting, but not outdoor recreation, modulates behavioural tolerance to human disturbance in Alpine marmots Marmota marmota
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Data from: Behavioural responses of a gamebird to human encounters across the hunting season
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Intensive hunting fundamentally changes human-wildlife relationships
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Environmental and anthropogenic features in relation to human hunting and wolf predation risk
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Mallard response to experimental human disturbance on sanctuary areas is mediated by hunting
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Hunting for the Off-Target Properties of Ticagrelor on Endothelial Function in Humans (HI-TECH)
ClinicalTrials.gov study NCT02587260. IPD Sharing: UNDECIDED. Countries: 4. Publications: 8.
Data from: Human and hunting dog interactions in the united states: Insights into potential Zoonotic disease and highly pathogenic avian influenza virus transmission
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Joint commitment in human cooperative hunting through an “Imagined We”
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Data from: Coordination strategies of chimpanzees and human children in a stag hunt game
Much of human cooperation takes place in mutualistic contexts in which the main challenge for individuals is how to coordinate decisions. In the current studies, we compared the abilities of chimpanzees and young children to coordinate with a partner in two versions of a Stag Hunt game. When risks were low (the hare was of low value) and information was cheap (the partner's behaviour was readily observable), partners of both species were able to successfully coordinate on the higher value stag more than 90% of the time. By contrast, when the risks were raised and observing the partner was more difficult, the chimpanzees became less successful, whereas the children compensated, and so remained highly successful, by communicating more often and more specifically. This pattern of results is consistent with the hypothesis that humans evolved unique skills of coordination and communication in the context of especially risky coordination problems.
Data from: Coordination strategies of chimpanzees and human children in a stag hunt game
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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.