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11 results for “wildlife mortality”
Figure 1 in Can wildlife mortality on a local road tell something general? An answer from a protected area in south-western Romania
Figure 1. Study area (blue line–rivers, black line–roads, discontinuous line–Iron Gates Natural Park limits, black dots–localities, red dots–the six studied sectors on the road to Bigăr).
Figure 2 in Can wildlife mortality on a local road tell something general? An answer from a protected area in south-western Romania
Figure 2. The studied road in Sector 2 (up left) and Sector 3 (up right), and two road–killed vertebrates identified on the road: Salamandra salamandra (down left) and Talpa sp. (down right).
Standardizing protocols for determining the cause of mortality in wildlife studies
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Assessing changes in clusters of wildlife road mortalities after the construction wildlife mitigation structures
<p>Collisions with vehicles can be a major threat to wildlife populations, so wildlife mitigation structures, including exclusionary fencing and wildlife crossings, are often constructed. To assess mitigation structure effectiveness, it is useful to compare wildlife road mortalities (WRMs) before, during, and after mitigation structure construction; however, differences in survey methodologies may make comparisons of counts impractical. Location-based cluster analyses provide a means to assess how WRM spatial patterns have changed over time. We collected WRM data between 2015 and 2019 on State Highway 100 in Texas, USA. Five wildlife crossings and exclusionary fencing, were installed in this area between Sep 2016 and May 2018 for the endangered ocelot (Leopardus pardalis) and other similarly sized mammals. Roads intersecting State Highway 100 were mitigated by gates, wildlife guards, and wing walls. However, these structures may have provided wildlife access to the highway. We combined local hot spot analysis and time series analysis to assess how WRM cluster intensity changed after mitigation structure construction at fine spatial and temporal scales and generalized linear regression to assess how gaps in fencing and landcover were related to WRM cluster intensity in the before, during, and after construction periods. Overall, WRMs/survey day decreased after mitigation structure construction and most hot spots occurred where there were more fence gaps, and, while cluster intensity increased in a few locations, these were not at fence gaps. Cluster intensity of WRMs increased when nearer to fence gaps in naturally vegetated areas, especially forested areas, and decreased nearer to fence gaps in areas with less natural vegetation. We recommend that if fence gaps are necessary in forested areas, less permeable mitigation structures, such as gates should be used. Local hot spot analysis, coupled with time series and regression techniques, can effectively assess how WRM clustering changes over time.</p>
Figure 3 in Can wildlife mortality on a local road tell something general? An answer from a protected area in south-western Romania
Figure 3. Similarity between sectors (S1–S6–studied sectors).
Figure 4 in Can wildlife mortality on a local road tell something general? An answer from a protected area in south-western Romania
Figure 4. Similarity between periods (I–XII–studied months).
Visual-acoustic wildlife deterrents as a supporting measure to prevent mowing-related mortality in roe deer fawns
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Assessing changes in clusters of wildlife road mortalities after the construction wildlife mitigation structures
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Data from: Persistent anthrax as a major driver of wildlife mortality in a tropical rainforest
Anthrax is a globally significant animal disease and zoonosis. Despite this, current knowledge of anthrax ecology is largely limited to arid ecosystems, where outbreaks are most commonly reported. We reveal cryptic the dynamics of an anthrax causing agent, Bacillus cereus biovar anthracis, in a tropical rainforest with severe consequences for local wildlife communities. Using data and samples collected over three decades we found that rainforest anthrax is a persistent and widespread cause of death for a broad range of mammalian hosts. We predict that this pathogen will accelerate the decline and possibly result in the extirpation of local chimpanzee (Pan troglodytes verus) populations. Our findings illuminate the epidemiology of a cryptic pathogen and have important implications for conservation and public health.
Disease's hidden death toll: Using parasite aggregation patterns to quantify landscape-level host mortality in a wildlife system
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Data from: Persistent anthrax as a major driver of wildlife mortality in a tropical rainforest
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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.