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98 results for “roe deer”

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Fig. 1 in Prevalence and distribution of Babesia and Theileria species in roe deer from Spain

Fig. 1. Map of Spain (modified from Morrondo et al., 2017) showing the four ecological areas. Dots represent the presence of Babesia spp. and/or Theileria spp. in each region.

opencc-by-4.0Aug 2019View details →
zenodo40/100

Fig. 1 in Short Communication Alpine chamois Rupicapra rupicapra (L. 1758) and European roe deer Capreolus capreolus (L. 1758) close together at a salt lick

Fig. 1 - The positions of the three chamois (C), two roe deer (R), and two observers (O) at the first full sighting of the animals, when the shortest distance between chamois and roe deer was four metres, 27 metres the longest. / Le posizioni dei tre camosci (C), dei due caprioli (R) e dei due osservatori (O) nel momento del primo avvistamento completo degli animali, quando tra camosci e caprioli la minima distanza era 4 metri, la massima 27 metri.

opencc-by-4.0Oct 2023View details →
zenodo40/100

Fig. 2 in Short Communication Alpine chamois Rupicapra rupicapra (L. 1758) and European roe deer Capreolus capreolus (L. 1758) close together at a salt lick

Fig. 2 - The roe deer and two chamois at the shortest interspecific distance (see Fig. 1) and the trampled and ravaged ground around their rock, suggesting the salt lick. / Il capriolo e i due camosci alla minima distanza interspecifica (vedi Fig. 1) e il terreno calpestato e rivoltato intorno alla loro roccia, indicativo di una salina.

opencc-by-4.0Oct 2023View details →
zenodo40/100

Fig. 4 in First record of chronic Fascioloides magna infection in roe deer (Capreolus capreolus)

Fig. 4. Same liver as in Fig. 3. Left part of the liver contains new migratory channels. Note less pronounced hemorrhages and clean migratory channels, as well as traces of iron-porphyrin on surface of the livers.

opencc-by-4.0Aug 2021View details →
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Fig. 3 in First record of chronic Fascioloides magna infection in roe deer (Capreolus capreolus)

Fig. 3. Cut surface of roe deer liver. Note the pseudocyst and numerous ironporphyrin traces in the liver parenchyma and fluke extracted from the pseudocyst.

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 1 in First record of chronic Fascioloides magna infection in roe deer (Capreolus capreolus)

Fig. 1. Acutely infected roe deer liver. Irregular liver surface with opaque Glissons capsule, traces of dark pigment and nodular protrusions (hemorrhages).

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 5. H&E in First record of chronic Fascioloides magna infection in roe deer (Capreolus capreolus)

Fig. 5. H&E liver pseudocyst fragment (Sony alpha 6000). The center of the cyst containing numerous F. magna eggs, traces of free (P) and phagocytosed intracellular iron-porphyrin (IP) embedded in thick collagenous tissue (C), surrounded by numerous irregular bile ducts (B), new blood vessels (BV) and hypertrophied smooth muscle bundles. Magnification 2x.

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 6 in A roe deer from the Pliocene of Hidalgo, central Mexico

Fig. 6. Metacarpal and first phalanx of the cervid mammal Capreolus constantini Vislobokova, Dmitrieva, and Kalmykov, 1995 from the Pliocene of Hidalgo, Mexico. A. UAHMP 488, metacarpal, in anterior (A 1) and posterior (A 2) views. B. UAHMP 489, first phalanx, in anterior (B 1) and medial (B 2) views.

opencc-by-4.0Apr 2014View details →
zenodo40/100

Fig. 1 in A roe deer from the Pliocene of Hidalgo, central Mexico

Fig. 1. Location of the studied area in the state of Hidalgo, central Mexico (A), map of the Santa María Amajac area (B).

opencc-by-4.0Apr 2014View details →
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Fig. 4 in A roe deer from the Pliocene of Hidalgo, central Mexico

Fig. 4. Comparison of occlusal views of p3–m1 of the cervid mammal Capreolus constantini from the Pliocene of Hidalgo, Mexico, with selected extant cervids. A, B. Capreolus constantini. A. UAHMP 481. B. UAHMP 432, isolated p3. C. Capreolus capreolus, IPHES O-241. D, E. Odocoileus virginianus. D. INAH 16897, slightly worn. E. INAH 663, moderately worn. F. Navahoceros fricki, INAH 1082 (reversed), heavily worn. G. Cervus canadensis, INAH 1227 (reversed), moderately worn. H. Hippocamelus bisulcus, MLP 1364 (reversed), slightly worn.

opencc-by-4.0Apr 2014View details →
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Fig. 5 in A roe deer from the Pliocene of Hidalgo, central Mexico

Fig. 5. Humerus and tibia of the cervid mammal Capreolus constantini Vislobokova, Dmitrieva, and Kalmykov, 1995 from the Pliocene of Hidalgo, Mexico. A. UAHMP 432, right humerus, in lateral (A 1), anterior (A2), and medial (A3) views. B. UAHMP 436, left tibia, in anterior (B1) and lateral (B2) views.

opencc-by-4.0Apr 2014View details →
zenodo40/100

Fig. 3 in A novel intermediate host for Taenia serialis (Gervais, 1847): The European roe deer (Capreolus capreolus L. 1758) from the Monti Sibillini National Park (MSNP), Italy

Fig. 3. Phylogenetic relationships between two species of Taenia (T. serialis and T. multiceps) and the sample obtained for this study (sample from roe deer).

opencc-by-4.0Apr 2022View details →
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Fig. 1. Microscope view 100 in A novel intermediate host for Taenia serialis (Gervais, 1847): The European roe deer (Capreolus capreolus L. 1758) from the Monti Sibillini National Park (MSNP), Italy

Fig. 1. Microscope view 100 magnifications of the scolex collected from one of the cysts recovered in a wild European roe deer.

opencc-by-4.0Apr 2022View details →
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Fig. 2 in A novel intermediate host for Taenia serialis (Gervais, 1847): The European roe deer (Capreolus capreolus L. 1758) from the Monti Sibillini National Park (MSNP), Italy

Fig. 2. Note the meningeal vessels' congestion and the suppurative exudate covering the meningeal surface.

opencc-by-4.0Apr 2022View details →
dryad40/100

Data from: Pan-European phylogeography of the European roe deer (Capreolus capreolus)

<p>To provide the most comprehensive picture of species phylogeny and phylogeography of European roe deer (<em>Capreolus</em> <em>capreolus</em>), we analysed mtDNA control region (610 bp) of 1469 samples of roe deer from Central and Eastern Europe and included in the analyses an additional 1,541 mtDNA sequences from GenBank from other regions of the continent. We detected two mtDNA lineages of the species: European and Siberian (an introgression of <em>C</em>. <em>pygargus</em> mtDNA into <em>C</em>. <em>capreolus</em>). The Siberian lineage was most frequent in the eastern part of the continent and declined towards Central Europe. The European lineage contained three clades (Central, Eastern and Western) composed of several subclades, many of which were separated in space. The Western clade appeared to have a discontinuous range from Portugal to Russia. Most of the subclades in the Central and the Eastern clades were under expansion during the Weichselian glacial period before the Last Glacial Maximum (LGM), while the expansion time of the Western clade overlapped with the Eemian interglacial. The high genetic diversity of extant roe deer is the result of their survival during the LGM probably in a large, contiguous range spanning from the Iberian Peninsula to the Caucasus Mts. and in two northern refugia.</p>

opencc-zeroDec 2022View details →
dryad40/100

Numerical response of predator to prey: Dynamic interactions and population cycles in Eurasian lynx and roe deer

<p>The dynamic interactions between predators and their prey have two fundamental processes; numerical and functional responses. Numerical response is defined as predator growth rate as a function of prey density or both prey and predator densities [dP/dt = f(N, P)]. Functional response is defined as the kill rate by an individual predator being a function of prey density or prey and predator densities combined. Although there are relatively many studies on the functional response in mammalian predators, numerical response remains poorly documented. We studied numerical response of Eurasian lynx (<em>Lynx lynx</em>) to various densities of its primary prey species, roe deer (<em>Capreolus</em> <em>capreolus</em>), and to itself (lynx). We exploited an unusual natural situation, spanning three decades where lynx, after a period of absence in central and southern Sweden, during which roe deer populations had grown to high densities, subsequently recolonized region after region, from north to south. We divided the study area into seven regions, with increasing productivity from north to south. We found strong effects of both roe deer density and lynx density on lynx numerical response. Thus, both resources and intraspecific competition for these resources are important to understand the lynx population dynamic. We built a series of deterministic lynx–roe deer models and applied them to the seven regions. We found a very good fit between these Lotka-Volterra-type models and the data. The deterministic models produced almost cyclic dynamics or dampened cycles in five of the seven regions. Thus, we documented population cycles in this large-predator-large-herbivore system, which is rarely done. The amplitudes in the dampened cycles decreased towards the south. Thus, the dynamics between lynx and roe deer became more stable with increasing carrying capacity for roe deer, which is related to higher productivity in the environment. This increased stability could be explained by variation in predation risk, where human presence can act as prey refugia, and by a more diverse prey guild that will weaken the direct interaction between lynx and roe deer.</p>

opencc-zeroSep 2023View details →
dryad40/100

Data from: Pan-European phylogeography of the European roe deer (Capreolus capreolus)

Open the record for dataset details and reuse information.

publicJun 2023View details →
dryad40/100

Numerical response of predator to prey: Dynamic interactions and population cycles in Eurasian lynx and roe deer

Open the record for dataset details and reuse information.

publicSep 2023View details →
dryad40/100

Data for: Specialist carabids in mixed montane forests are positively associated with biodiversity-oriented forestry and abundance of roe deer

Open the record for dataset details and reuse information.

publicFeb 2024View details →
zenodo36/100

The influence of human disturbances on the spatio-temporal habitat selection patterns of roe deer near Trento (Italy)

<p>This is the dataset used for the MSc. thesis of Matthijs Hinkamp for the master Earth Sciences (Environmental Management track) at the University of Amsterdam.</p> <p>In this thesis the Individual Movement Sequence Analysis Method (IM-SAM) was applied to analyse the influence of human disturbances on the sequential habitat use of roe deer in northern Italy. While it is known that in this area the roe deer populations are affected by anthropogenic pressures, the actual spatial and temporal implications of such pressures are unknown.</p> <p>The input for IM-SAM consisted of habitat sequences, which were obtained through tracking data from the Fondazione Edmund Mach, land use and land cover maps and temporal information. Based on exploratory dissimilarity trees for the real behavioural sequences, several simulation profiles were established, each with a different habitat use pattern.</p> <p>The results show that most roe deer prefer isolated forest areas, but alternating patterns are definitely present. Several co variables were assessed: the influence of the hunting season, increased pressure during weekends, differences between protected and unprotected areas and changes in the average NDVI. It seems that roe deer are affected by the hunting pressure in September. This month shows an increase in the prevalence of alternating profiles, which indicates that roe deer tend to change their habitat use during periods of the day when hunting takes place. It cannot be concluded that habitat use patterns are altered during the weekends and the differences between sequences in protected and unprotected areas seem to be relatively small. However, some results indicate that alternating habitat use is a strategy for some roe deer in protected areas. When looking at the NDVI values, it becomes clear that the average NDVI is higher overall for the alternating profiles, but this just underlines the general conclusions drawn about the habitat use strategies in September.</p>

opencc-by-4.0Jul 2020View details →

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