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125 results for “red deer”
Red deer growth data and R code for analysis
<p>Dataset and R code (Rmd-file) for analysis of seasonal growth of body weight in red deer. </p> <p>Supplementary material for the paper "Shifting seasonality of annual growth through ontogeny for red deer at northern latitudes".</p> <p>This study was part of the AgriDeer project (318575), funded by the Research Council of Norway.</p>
Data from: Insights from a 31-year study demonstrate an inverse correlation between recreational activities and red deer fecundity, with body weight as a mediator
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Multiple drivers of spring migration timing for red deer over the past 16 years in northern Europe
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Dataset accompanying Riesch et al. 2020. Grazing by wild red deer maintains characteristic vegetation of semi-natural open habitats: Evidence from a 3-year exclusion experiment. Applied Vegetation Science
<p>This repository contains vegetation community data used by Riesch et al. 2020 in an article accepted in Applied Vegetation Science.</p> <p>Metadata are provided in the first excel worksheet. For further details please see the original article.</p>
Data from: Genetic analysis of red deer (Cervus elaphus) administrative management units in a human-dominated landscape - patterns of genetic diversity, population structure and gene flow
<p><span><span>Red deer (</span><span><em>Cervus elaphus</em></span><span>) throughout central Europe are</span> impacted by different anthropogenic activities including habitat fragmentation, selective hunting, and translocations<span>. This has substantial influences on genetic diversity and the long-term conservation of local populations of this species. Here we use genetic samples from 480 red deer individuals to assess the genetic diversity and differentiation of the 12 administrative management units located in Schleswig Holstein, the northernmost federal state in Germany. </span></span><span><span>We applied multiple analytical approaches and show that the history of local populations (i.e., translocations, culling of individuals outside of designated red deer zones, and anthropogenic infrastructures) has led to comparably low levels of genetic diversity. The mean expected heterozygosity was below 0.6 and we observed on average 4.2 alleles across 12 microsatellite loci. Effective population sizes below the recommended level of 50 were estimated for multiple local populations. </span></span><span><span>Our estimates of genetic structure and gene flow show that red deer in northern Germany are best described as a complex network of asymmetrically connected subpopulations, with high genetic exchange among some local populations and reduced connectivity of others. Genetic diversity was also correlated with population densities of neighboring management units. </span></span></p> <p><span><span>Based on these findings, we suggest that connectivity among existing management units needs to be considered in the practical management of the species, which means that some administrative management units should be managed together, while the effective isolation of other units needs to be mitigated.</span></span></p>
Pelt biting as a practical indicator of social and environment stress in farmed red deer
<p>Data sets used in the analyses of paper title "Pelt biting as a practical indicator of social and environment stress in farmed red deer"</p>
The proximity of rapeseed fields influences levels of forest damage by red deer
<p><span>We investigated the relationship between the level of red deer <em>Cervus elaphus</em> bark stripping damage in 68 Norway spruce <em>Picea abies</em> stands, and the presence of rapeseed Brassica napus fields in the surroundings, hypothesising that damage increases with decreasing distance to rapeseed fields. We also considered other potentially influencing factors, such as supplemental feeding, alternative forage availability, and deer use of spruce stands as indexed by a pellet group count.</span></p> <p><span>Bark stripping rates were measured in 68 planted stands of Norway spruce with a minimum size of 1 ha and an age interval of 20-40 years. </span><span>We selected, a priori, stands in forestry plans with a minimum of 80 % spruce. However, all stands were planted even-aged monocultures where cleaning of deciduous species had occurred at younger stages, resulting in a spruce proportion generally close to 100 %. </span><span> In each stand, 10 circular 100 m<sup>2</sup> survey plots were systematically and evenly distributed (with a random starting point). Occurrence of fresh bark-stripping damage (i.e., wounds from preceding winter) was noted for the 10 spruce stems closest to the plot centre (i.e., 100 spruce stems per stand). We measured the distance from the rapeseed fields and feeding stations to the spruce stands by using QGIS. </span></p> <p><span>An index of relative forage availability was measured by estimating percent living vegetation cover of woody browse projected onto the horizontal plane in 20 m2 subplots within targeted stands (the same 10 plots per stand as for the damage survey) and in the surrounding landscape in plots distributed along 500 m transects, one in each of the cardinal directions from the targeted stand (plots distributed at 0, 100, 200, 300, 400, and 500 m from the stand edge (0 m) making a total of 24 transect plots per stand).</span></p> <p><span>The number of red deer pellet groups were counted within targeted spruce stands and in the surrounding landscape to provide indices of relative deer stand usage and overall abundance respectively. Pellet groups were surveyed in 100 m2 circular plots within the stands (the same plots as for damage and forage survey) and in the transect plots used for forage survey described above. Only fresh (from preceding winter) pellet groups were counted.</span></p> <p><span>Spruce stands closer to rapeseed had a significantly higher proportion of damaged stems. The increased level of bark stripping damage was not explained by a higher deer stand use closer to rapeseed fields. Spruce stands closer to supplemental feeding stations had significantly higher damage levels. Damage levels were negatively related to the amount of available browse in the forest. </span></p>
Niche overlap between two large herbivores across landscape variability using dietary eDNA metabarcoding: Raw sequences of European bison and red deer – Bialowieza
<p><span>Understanding the trophic ecology of herbivore species is key to assess their environmental requirements and to improve management policies, but measuring their trophic interactions remains challenging. Among the methods available, quantifying the plant composition of a species' diet provides a detailed picture of how species exploit the resources in their environment and their associated niche overlap. Yet, most studies focusing on herbivore trophic ecology ignore the influence that landscape variability may have. Here, we studied how landscape variability influences trophic interactions through niche partitioning. We used eDNA metabarcoding to quantify the diet composition of two large herbivores of the Bialowieza Forest, red deer (<em>Cervus elaphus</em>) and European bison (<em>Bison bonasus</em>, hereafter referred to as bison) to investigate how increasing habitat quality and predation risk in their environment influence their diet composition and niche partitioning. We found red deer to have an overall greater diet variability and lower niche overlap within species compared to bison. Moreover, our findings indicate herbivore interactions are non-homogeneous across the landscape. Higher habitat quality was associated with higher niche overlap only within bison. We also detected an increase in niche overlap with increasing predation risk within red deer, indicating they modify their diet choice as a reaction to wolf predation risk. This study provides evidence of eDNA dietary metabarcoding as a useful tool for wildlife management to assess the status of species in an ecosystem based on known environmental factors. We suggest future studies to integrate the environments' variability when studying trophic ecology of herbivores to capture the whole extent of species interaction in order to improve conservation and management guidelines. </span></p>
Figure 2 in Red deer on the move: home range size and mobility in Bulgaria
Figure 2. Sedated and collared individuals
Fig. 6. O in First description of Onchocerca jakutensis (Nematoda: Filarioidea) in red deer (Cervus elaphus) in Switzerland
Fig. 6. O. jakutensis female: Ratio of cuticular annulation (A) to medullar striae (S) 1:4.
Fig. 2 in First description of Onchocerca jakutensis (Nematoda: Filarioidea) in red deer (Cervus elaphus) in Switzerland
Fig. 2. Anterior end of O. jakutensis female, with granular lumps in process of degeneration.
Dataset accompanying Riesch et al. 2019. Grazing by wild red deer: management options for the conservation of semi-natural open habitats. Journal of Applied Ecology
<p>This repository contains vegetation biomass and forage quality data used by Riesch et al. in an article accepted in Journal of Applied Ecology.</p> <p>Metadata are provided in the first excel worksheet ('explanation_overview'). For further details please see the original article.</p>
Fig. 9 in Morphological description and multilocus genotyping of Onchocerca spp. in red deer (Cervus elaphus) in Switzerland
Fig. 9. Detail of Onchocerca flexuosa female: Uterine tubes (arrow) straightened inside curly body.
Rum and Argyll red deer genotype files
<p>The red deer population inhabiting the north block of the Isle of Rum, Scotland (57°0'N, 6°20'W) has been studied at an individual level since 1971 and was the main focus of this study. After quality control 39,587 autosomal SNPs genotyped in 3046 individuals were retained for analysis. This study also used equivalent genotype data for 157 individuals from a mainland population of red deer from Argyll, Scotland. Data files are in plink readable format (.bed .bim .fam) and include a .txt file with estimated SNP positions in centimorgans (cM). If you plan to analyse the data, we request that you inform us, see README file for more information. </p>
Data from: Numerical top-down effects on red deer (Cervus elaphus) are mainly shaped by humans rather than large carnivores across Europe
<p>Terrestrial ecosystems are shaped by interacting top-down and bottom-up processes, with the magnitude of top-down control by large carnivores largely depending on environmental productivity. While carnivore-induced numerical effects on ungulate prey populations have been demonstrated in large, relatively undisturbed ecosystems, whether large carnivores can play a similar role in more human-dominated systems is a clear knowledge gap. As humans influence both predator and prey in a variety of ways, the ecological impacts of large carnivores can be largely modified. We quantified the interactive effects of human activities and large carnivore presence on red deer (<em>Cervus elaphus</em>) population density and how their impacts interacted and varied with environmental productivity</p> <p>Data on red deer density were collected based on a literature survey encompassing 492 study sites across 28 European countries. Variation in density across study sites was analysed using a generalised additive model in which productivity, carnivore presence (grey wolf, European lynx, Brown bear), human activities (hunting, intensity of human land-use activity), site protection status and climatic variables served as predictors. </p> <p>The results showed that a reduction in deer density only occurred when wolf, lynx and bear co-occurred within the same site. In the absence of large carnivores, red deer density varied along a productivity gradient without a clear pattern. Although a linear relationship with productivity in the presence of all three large carnivore species was found, this was not statistically significant. Moreover, hunting by humans had a stronger effect than the presence of all large carnivores in reducing red deer density and red deer density increased with increasing intensity of human land-use, with stronger large carnivore effects (all three carnivore species present) at sites with low human land-use activities. </p> <p><em>Synthesis and applications</em>: This study provides evidence for the dominant role played by humans (i.e. hunting, land-use activities) relative to large carnivores in reducing red deer density across European human-dominated landscapes. These findings suggest that when we would like large carnivores to exert numeric effects, we should focus on minimizing human impacts to allow the ecological impacts of large carnivores on ecosystem functioning.</p>
Data from: Numerical top-down effects on red deer (Cervus elaphus) are mainly shaped by humans rather than large carnivores across Europe
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Data from: Genome-wide SNP assessment of contemporary European red deer genetic structure highlights the distinction between peripheral populations and the main admixture zones in Europe
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Data from: Navigating a landscape of contrasting hunting regimes and habitats: Red deer responses to risk and resources
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Data from: Genetic analysis of red deer (Cervus elaphus) administrative management units in a human-dominated landscape - patterns of genetic diversity, population structure and gene flow
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Grazing pressure on grass meadows by red deer
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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.