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213 results for “Sus”
Data from: Wild boar (Sus scrofa) increases species diversity of semi-dry grassland: field experiment with simulated soil disturbances
Background Foraging activities of wild boar (Sus scrofa) create small-scale soil disturbances in many different vegetation types. Rooting alters species composition by opening niches for less-competitive plants and as a recurrent factor becomes a part of the community disturbance regime. Vegetation responses to wild boar disturbance have mostly been studied in the boar's non-native range or in native forest, rather than in open habitats in the native range. We investigate the response of open European semi-dry grassland vegetation dominated by (Brachypodium pinnatum) to native wild boar pressure in an abandoned agricultural landscape. Methods To describe the disturbance regime, we repeatedly mapped rooted patches during a 5-year period. Additionally, to study the vegetation response, we performed an artificial disturbance experiment by creating 30 pairs of simulated disturbances and undisturbed plots. The vegetation composition of the paired plots was repeatedly sampled five times in eight years of the study. Results Based on repeated mapping of disturbances, we predict that if the disturbance regime we observed during the 5-year period were maintained over the long term, it would yield a stable vegetation ratio consisting of 98.7 % of the grassland undisturbed, 0.4 % with fresh disturbance and 0.9 % in older successional stages. Vegetation composition on the artificially disturbed plots was continuously converging to that of undisturbed vegetation, but these disturbed plots still differed significantly in composition and had higher species number, even after eight years of succession. Synthesis Our results thus show that wild boar disturbance regime in its native range increases heterogeneity and species diversity of semi-dry grassland vegetation.
Data from: Landscape genetic analyses of Cervus elaphus and Sus scrofa: comparative study and analytical developments
Red deer and wild boar are two major game species whose populations are managed and live in areas impacted by human activities. Measuring and understanding the impact of landscape features on individual movements and spatial patterns of genetic variability in these species is thus of importance for managers. A large number of individuals sampled across Wallonia (Belgium) for both species have been genotyped using microsatellite markers (respectively >1700 and >1200 genotyped individuals) and some individuals have also been followed using a capture-mark-recapture (CMR) protocol. The combined data set represents an unprecedented opportunity to study and compare the environmental factors impacting the interconnectivity of these large mammals. The present study describes and uses a landscape genetic workflow to compare spatial patterns of genetic variability and the impact of environmental factors on genetic differentiation. For the latter analyses, we investigate the correlation between genetic and environmental distances (pairwise approach) and also between local genetic dissimilarity and environmental conditions (point approach). Preliminary analyses of CMR data confirm that motorways act as significant barriers to dispersal. However, analyses performed with the pairwise approach do not highlight any evidence of an impact of motorways on genetic differentiation, which is presumably due to their recent establishment. Complementary analyses performed with the point approach reveal that low altitude tends to be associated with higher genetic dissimilarity. From a methodological point of view, the present workflow illustrates the complementary application of both pairwise and point approaches as well as univariate and multivariate analyses.
Ibex35_ Valores de sus componentes
<p>El dataset se basa en el conjunto de datos basados en una serie de cotizaciones diarias de conjunto de empresas que conforman el índice de referencia Ibex35.</p>
TARP 2021: SUs 3019, 3023
SU 3019, SU 3023 Source: Objaverse 1.0 / Sketchfab
TARP 2021: SUs 3017, 3019
SU 3017, SU 3019 Source: Objaverse 1.0 / Sketchfab
Subspecies and Distribution. B.b.barbastellusSchreber,1774—EuropefromIrelandandIberianPeninsulaEtoLaivia,Belarus,Ukraine,andtheCauca-sus;alsomajorMediterraneanIs,Moroc-co,andTurkey(Anatolia);possiblyextinctinBelgium,Netherlands,andNorway. B. b. guanchae Trujillo, Ibanez & Juste, 2002 — Canary Is (Tenerife and La Gomera). in Vespertilionidae
Subspecies and Distribution. B.b.barbastellusSchreber,1774—EuropefromIrelandandIberianPeninsulaEtoLaivia,Belarus,Ukraine,andtheCauca-sus;alsomajorMediterraneanIs,Moroc-co,andTurkey(Anatolia);possiblyextinctinBelgium,Netherlands,andNorway. B. b. guanchae Trujillo, Ibanez & Juste, 2002 — Canary Is (Tenerife and La Gomera).
On following pages 10 Phılıppıne Warty Pıg (Sus phı /ıppensıs) Mındoro Wany Png (Sus olıven) 12 Pılawın Bearded Pıg (Sus ıhoanobırbus). 13 Bearded Psg (Sus barbatus), 14 Sulawesı Wany Pug (Sus celebensıs) 15 Javan Wany Pıg (Sus venucosusl. 16 Eurasıan Wıld Pıg (Sus scrola) 17 Pygmy Hog (Porcııla salvımı) in Suidae
On following pages 10 Phılıppıne Warty Pıg (Sus phı /ıppensıs) Mındoro Wany Png (Sus olıven) 12 Pılawın Bearded Pıg (Sus ıhoanobırbus). 13 Bearded Psg (Sus barbatus), 14 Sulawesı Wany Pug (Sus celebensıs) 15 Javan Wany Pıg (Sus venucosusl. 16 Eurasıan Wıld Pıg (Sus scrola) 17 Pygmy Hog (Porcııla salvımı)
Data from: Comparative landscape genetic analyses show a Belgian motorway to be a gene flow barrier for red deer (Cervus elaphus), but not wild boars (Sus scrofa)
While motorways are often assumed to influence the movement behaviour of large mammals, there are surprisingly few studies that show an influence of these linear structures on the genetic make-up of wild ungulate populations. Here, we analyse the spatial genetic structure of red deer (Cervus elaphus) and wild boars (Sus scrofa) along a stretch of motorway in the Walloon part of Belgium. Altogether 876 red deer were genotyped at 13 microsatellite loci, and 325 wild boars at 14 loci. In the case of the red deer, different genetic clustering tools identified two genetic subpopulations whose borders matched the motorway well. Conversely, no genetic structure was identified in the case of the wild boar. Analysis of isolation-by-distance patterns of pairs of individuals on the same side and on different sides of the motorway also suggested that the road was a barrier to red deer, but not to wild boar movement. While telemetry studies seem to confirm that red deer are more affected by motorways then wild boar, the red deer sample size was also much larger than that of the wild boars. We therefore repeated the analysis of genetic structure in the red deer with randomly sub-sampled datasets of decreasing size. The power to detect the genetic structure using clustering methods decreased with decreasing sample size.
Figs. 3–8. Phyxelis species. 3–4. P. rigidus. 3. Dorsal habitus. 4. Lateral habitus. 5–6. P. carltoni. 5. Dorsal habitus. 6. Lateral habitus. 7–8. P. sus. 7. Dorsal habitus. 8 in A Revision of the Weevil Genus Phyxelis Schönherr 1843 (Coleoptera: Curculionidae; Entiminae; Tropiphorini) in North America
Figs. 3–8. Phyxelis species. 3–4. P. rigidus. 3. Dorsal habitus. 4. Lateral habitus. 5–6. P. carltoni. 5. Dorsal habitus. 6. Lateral habitus. 7–8. P. sus. 7. Dorsal habitus. 8. Lateral habitus.
TARP 2021: SUs 3034-3038
SU 3034, SU 3035, SU 3036, SU 3037, SU 3038 Source: Objaverse 1.0 / Sketchfab
TARP 2021: SUs 3034-3036
SU 3034, SU 3035, SU 3036 Source: Objaverse 1.0 / Sketchfab
TARP 2021: SUs 3002, 3017-3018
SU 3002, SU 3017, SU 3018 Source: Objaverse 1.0 / Sketchfab
TARP 2021: SUs 3025, 3031
SU 3025, SU 3031 Source: Objaverse 1.0 / Sketchfab
Buenas prácticas en cenotes y sus cuevas
<p>This publication was made with the funding of PAPIIT 2019 - IN228319 "Hacia un mapa de biodiversidad acuática de cenotes de la península de Yucatán" led by N. S. D. F. A.</p> <p><span>Este póster es producto del proyecto Cenoteando (<a href="https://www.cenoteando.mx/">https://www.cenoteando.mx/</a>), elaborado en colaboración con la Universidad Nacional Autónoma de México y Kalanbio A.C (<a href="http://www.kalanbio.org/"><span>www.kalanbio.org</span></a>)</span></p> <p><span>La información de este póster fue revisada y validada por un grupo de especialistas.</span></p> <p><strong><span lang="EN-US">CC BY-NC-ND 4.0</span></strong></p> <p><span lang="EN-US">This poster is the product of Cenoteando project (</span><span><a href="https://www.cenoteando.mx/"><span lang="EN-US">https://www.cenoteando.mx/</span></a></span><span lang="EN-US">), which was produced in collaboration with the Universidad Nacional Autónoma de México and Kalanbio A.C (</span><span><a href="http://www.kalanbio.org/"><span lang="EN-US">www.kalanbio.org</span></a></span><span lang="EN-US">)</span></p> <p><span>*Note: Due the high resolution, the document may take some time to download.*</span></p>
FIGURA 5 in Mamíferos Del Pleistoceno Superior De Santiago Del Estero (Argentina) Y Sus Afinidades Paleobiogeográficas
FIGURA 5: Stegomastodon platensis, A: porción craneal posterior en vista palatal (MMB-009); B: extremo proximal de húmero izquierdo en vista proximal; C: en vista anterior (MRJP-938). Escala: 50 mm.
FIGURA 2 in Mamíferos Del Pleistoceno Superior De Santiago Del Estero (Argentina) Y Sus Afinidades Paleobiogeográficas
FIGURA 2: A-B, Holmesina paulacoutoi (MRJP-930), A: osteodermo de la sección fija en vista dorsal; B: osteodermo en vista lateral izquierda. C-F, Glyptodontidae indet. (MRJP-931), C: vertebra caudal en vista anterior; D: en vista dorsal; E: en vista lateral izquierda; F: en vista ventral. G-J, Megatherium sp., G: molariforme en vista oclusal (LIL-PZ 1909); H: molariforme en vista lateral (LIL-PZ 1909); I-J, hemimandíbula derecha (MMB-007) en vistas: I: lateral derecha; J: dorsal. K-L, Scelidotherinae indet. (MMB-006), K: extremo distal de húmero derecho en vista anterior; L: en vista posterior. Escalas: A, B, C, D, E, F, G, H: 20 mm; I, J, K, L: 50 mm.
FIGURA 1 in Mamíferos Del Pleistoceno Superior De Santiago Del Estero (Argentina) Y Sus Afinidades Paleobiogeográficas
FIGURA 1: Mapa con la ubicación de la localidad del hallazgo. En el extremo inferior derecho se indica la ubicación del yacimiento en el contexto de las regiones paleobiogeográficas propuestas previamente (Carlini et al., 2004).
FIGURA 4 in Mamíferos Del Pleistoceno Superior De Santiago Del Estero (Argentina) Y Sus Afinidades Paleobiogeográficas
FIGURA 4: A-F, Mixotoxodon larensis (MRJP-936), porción anterior del rostro en vistas: A: palatal; B: dorsal; C: lateral derecha; F: anterior. D-I, Toxodon gracilis, D-E, mandíbula incompleta (MMB-008) en vistas: D: dorsal; E: lateral derecha; H: porción maxilar izquierda con M2-M3 en vista oclusal (MRJP-933); I: M3? en vista oclusal y esquema del mismo (MRJP-934). Toxodon sp., G: (MRJP-932): incisivo superior derecho; J: (MRJP-935): molar superior izquierdo con una anomalía presente en la corona dentaria. Escala A, B, C, F, G, H, I, J: 20 mm; D, E: 50 mm.
FIGURA 3 in Mamíferos Del Pleistoceno Superior De Santiago Del Estero (Argentina) Y Sus Afinidades Paleobiogeográficas
FIGURA 3: A-B, Panochthus greslebini (MMB-005), tubo caudal en vistas: A: ventral; B: dorsal. Referencias: a, figuras terminales; b, figura apical; c, figuras subapicales; d, figuras subapicales secundarias; e, figuras marginales; f, figuras marginales secundarias.
Fig. 115 in El género Lagria Fabricius, 1775 en la Península Ibérica. El embrollo de Lagria hirta (Linnaeus, 1758), sus sinonimias y su composición. (Coleoptera, Tenebrionidae, Lagriini).
Fig. 115.- Lagria depilis, España, León, macho. Fig. 116.- Lagria depilis, España, León, hembra. Fig. 117.- Lagria spadicea, Francia, Mont Bauzon, macho. Fig. 118.- Lagria spadicea, Francia, Mont Bauzon, hembra.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.