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12 results for “hunting risk”

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dryad40/100

Acceleration data reveal behavioural responses to hunting risk in Scandinavian brown bears

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publicJul 2025View details →
dryad36/100

The last moves: the effect of hunting and culling on the risk of disease spread from a population of reindeer

<p>1. Hunting and culling are frequently used to combat infectious wildlife diseases. The aim is to markedly lower population density in order to limit disease transmission or to eradicate the host. Massive host culling can yield a trade-off when combating wildlife disease; it follows that intrusive actions may have unintended behavioural side-effects, leading to the geographic spread of disease. The manner in which such excessive hunting and culling of hosts can affect the movement and dispersion of cervids has not been studied.</p> <p>2. In this study, we quantified the behaviour (daily movements and habitat use) and dispersion of GPS-marked reindeer (n = 24) before and during the eradication of an entire population (&gt;2000 reindeer) infected with chronic wasting disease (CWD) in Norway. We compared behaviour and dispersion during 10 ordinary hunting seasons (2007-16), an extended hunt in 2017 and marksmen culling (2017/18).</p> <p>3. Seasonality had a major impact on movements. Reindeer movements during the early hunting season (20 August–20 September) did not increase the overall movements compared to that in the pre-hunt season (20 July–19 August), while extended hunting into October (as in 2017) and marksmen culling from November to February markedly increased daytime movements relative to that normally observed in this time of the year. Towards the end of the eradication, the remaining reindeer sought refuge at restricted high-elevation areas with limited forage production. Reindeer used novel areas towards the perimeter of the range, but active herding during culling stopped one herd from leaving the CWD zone.</p> <p>4. Synthesis and applications: With emerging wildlife diseases, host culling is becoming a more frequently used tool for managers in Europe. Our study highlights the potential trade-off between combating disease transmission within a population and the risk of geographic spread. Such insight is important to design mitigation measures, such as perimeter fencing or herding, to avoid the risk of the geographic spread of disease in cases of severe and economically important wildlife diseases.</p>

opencc-zeroSep 2020View details →
dryad36/100

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>

opencc-zeroSep 2022View details →
dryad36/100

The last moves: the effect of hunting and culling on the risk of disease spread from a population of reindeer

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publicSep 2020View details →
dryad36/100

Data from: Navigating a landscape of contrasting hunting regimes and habitats: Red deer responses to risk and resources

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publicJul 2025View details →
dryad36/100

Environmental and anthropogenic features in relation to human hunting and wolf predation risk

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publicSep 2022View details →
ClinicalTrials.gov32/100

The HUNT for Heart Failure" Risk Score

ClinicalTrials.gov study NCT04648852. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo28/100

Hunting behaviour in domestic cats: an exploratory study of risk and responsibility among cat owners (raw data)

<p>All raw, redacted and anonymised interview transcripts.&nbsp;</p>

opencc-by-sa-4.0Nov 2018View details →
dryad28/100

Data from: Hunting to extinction: biology and regional economy influence extinction risk and the impact of hunting in artiodactyls

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publicFeb 2008View details →
ClinicalTrials.gov24/100

Risk Factors and Risk Profiles for Persistent Neck Pain in Young Adults: Results From the HUNT Study

ClinicalTrials.gov study NCT04201366. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
dryad20/100

Data from: Brain size, hunting and the risk of getting shot: a reply to Zink & Stuber (2017)

[No abstract entered]

opencc-zeroDec 2016View details →
dryad20/100

Data from: Brain size, hunting and the risk of getting shot: a reply to Zink & Stuber (2017)

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publicMay 2017View details →

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Allen Brain Atlas

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
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Last verified 2026-04-29Open record

OpenNeuro

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Last verified 2026-04-29Open record