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123 results for “European region”
Data from: Conservation phylogeography: does historical diversity contribute to regional vulnerability in European tree frogs (Hyla arborea)
Documenting and preserving the genetic diversity of populations, which conditions their long-term survival, has become a major issue in conservation biology. The loss of diversity often documented in declining populations is usually assumed to result from human disturbances; however, historical biogeographic events, otherwise known to strongly impact diversity, are rarely considered in this context. We apply a multi-locus phylogeographic study to investigate the late-Quaternary history of a tree frog (Hyla arborea) with declining populations in the northern and western part of its distribution range. Mitochondrial and nuclear polymorphisms reveal high genetic diversity in the Balkan Peninsula, with a spatial structure molded by the last glaciations. While two of the main refugial lineages remained limited to the Balkans (Adriatic coast, southern Balkans), a third one expanded to recolonize Northern and Western Europe, loosing much of its diversity in the process. Our findings show that mobile and a priori homogeneous taxa may also display substructure within glacial refugia ("refugia within refugia"), and emphasize the importance of the Balkans as a major European biodiversity center. Moreover, the distribution of diversity roughly coincides with regional conservation situations, consistent with the idea that historically impoverished genetic diversity may interact with anthropogenic disturbances, and increase the vulnerability of populations. Phylogeographic models seem important to fully appreciate the risks of local declines and inform conservation strategies.
Data from: The impact of even-aged and uneven-aged forest management on regional biodiversity of multiple taxa in European beech forests
For managed temperate forests, conservationists and policymakers favour fine-grained uneven-aged management over more traditional coarse-grained even-aged management, based on the assumption that within-stand habitat heterogeneity enhances biodiversity. There is, however, little empirical evidence to support this assumption. We investigated for the first time how differently grained forest management systems affect the biodiversity of multiple above- and below-ground taxa across spatial scales. We sampled 15 taxa of animals, plants, fungi and bacteria within the largest contiguous beech forest landscape of Germany and classified them into functional groups. Selected forest stands have been managed for more than a century at different spatial grains. The even-aged (coarse-grained management) and uneven-aged (fine-grained) forests are comparable in spatial arrangement, climate and soil conditions. These were compared to forests of a nearby national park that have been unmanaged for at least 20 years. We used diversity accumulation curves to compare γ-diversity for Hill-numbers 0D (species richness), 1D (Shannon diversity) and 2D (Simpson diversity) between the management systems. Beta diversity was quantified as multiple-site dissimilarity. Gamma diversity was higher in even-aged than in uneven-aged forests for at least one of the three Hill-numbers for six taxa (up to 77%), while eight showed no difference. Only bacteria showed the opposite pattern. Higher γ-diversity in even-aged forests was also found for forest specialists and saproxylic beetles. Between-stand β-diversity was higher in even-aged than in uneven-aged forests for one third (all species) and half (forest specialists) of all taxa, driven by environmental heterogeneity between age-classes, while α-diversity showed no directional response across taxa or for forest specialists. Synthesis and applications. Comparing even-aged and uneven-aged forest management in Central European beech forests, our results show that a mosaic of different age-classes is more important for regional biodiversity than high within-stand heterogeneity. We suggest reconsidering the current trend of replacing even-aged management in temperate forests. Instead, the variability of stages and stand structures should be increased to promote landscape scale biodiversity.
GEOLAB Project FROSPER: FROst heaving soils-Solar Panel foundations interaction in cold European Regions: an experimental study
<p>The objective of the proposed project is to investigate the<strong> resilience of solar panels foundations in cold climates</strong>. The efficiency of solar panels is overall better in cold climates, when the direct sunlight is available, due to the lower temperature-induced dispersion. For this reason, large solar fields tend to be installed in cold regions, such as northern Europe or Canada. A solar field with <i>e.g.</i>, 10 MW, requires a great number of solar panels (~6000) whose foundations are generally<strong> steel piles</strong> driven into the soil down to a depth of 2÷5 m below the ground surface. In the cold regions, the shallow layers of soil are periodically subjected to <strong>freezing thus to the frost-heaving phenomena</strong>. The latter can increase the <strong>risk of uplift failure mechanism of the pile foundation</strong> compromising the exercise of the entire solar panel row.</p><p>This project aims to investigate the interaction between saturated soils and solar panel foundations under frozen conditions in <strong>scaled centrifuge models</strong>. The steel piles will be at first driven into the saturated soil sample, then a set of the <strong>freezing-thawing cycles</strong> will be reproduced in the centrifuge. <strong>Possible practical interventions to reduce the soil frost-heaving effects</strong> will also be explored, as the use of protective insulating mantel at the ground surface all around the head of the pile.</p><p>This project will represent a breakthrough in the understanding of the solar panel foundations behaviour, allowing a deeper insight into possible uplift failure mechanisms. The motivation of the study lies in the reduction of the costs and in the resilience improvement of critical infrastructures for the generation of energy in the EU territories. </p>
Supplementary material 2 from: Csősz S, Seifert B, László M, Yusupov ZM, Herczeg G (2023) Broadly sympatric occurrence of two thief ant species Solenopsis fugax (Latreille, 1798) and S. juliae (Arakelian, 1991) in the East European Pontic-Caspian region (Hymenoptera, Formicidae) is disclosed. ZooKeys 1187: 189-222. https://doi.org/10.3897/zookeys.1187.105866
Morphometric data of 15 continuous morphometric traits of 203 individuals collected by SC is given in µm
Supplementary material 4 from: Csősz S, Seifert B, László M, Yusupov ZM, Herczeg G (2023) Broadly sympatric occurrence of two thief ant species Solenopsis fugax (Latreille, 1798) and S. juliae (Arakelian, 1991) in the East European Pontic-Caspian region (Hymenoptera, Formicidae) is disclosed. ZooKeys 1187: 189-222. https://doi.org/10.3897/zookeys.1187.105866
R script of NC clustering and method PART implementing cluster methods "hclust" and "kmeans", including "Mark dendrogram" function mapping the results of partitioning algorithm PART on the dendrogram
Supplementary material 3 from: Csősz S, Seifert B, László M, Yusupov ZM, Herczeg G (2023) Broadly sympatric occurrence of two thief ant species Solenopsis fugax (Latreille, 1798) and S. juliae (Arakelian, 1991) in the East European Pontic-Caspian region (Hymenoptera, Formicidae) is disclosed. ZooKeys 1187: 189-222. https://doi.org/10.3897/zookeys.1187.105866
Morphometric data of 18 continuous morphometric traits of 171 individuals collected by BS is given in mm
Data needed to reproduce analysis from "Frost matters: Incorporating late-spring frost in a dynamic vegetation model regulates regional productivity dynamics in European beech forests"
<p>Data to reproduce analysis from "Frost matters: Incorporating late-spring frost in a dynamic vegetation model regulates regional productivity dynamics in European beech forests".</p> <p>This includes:</p> <ol> <li>Tree ring data (meyer, bdn, principe, dittmar)</li> <li>LPJ-GUESS model output (frost_validation, frost_sensitivity, runs_22012024_revision)</li> <li>Data used for plotting</li> </ol>
Subspecies and Distribution. pos sagitta Pallas, 1773 — S Russia (Altai Krai) and right bank of Irtysh River in Kazakhstan (Pavlodar and East Kazakhstan regions). D.s.aksuensisWangSung,1964—NWChina(NTarimBasininXinjiang). D.s.austrouralensisShenbrot,1991—NWKazakhstan(WestKazakhstan,Atyrau,andAktoberegionsbetweenUralandEmbarivers). D.s.bulganensisShenbrot,1991—EKazakhstan(ELakeZaysaninEastKazakhstanRegion),NWChina(DzungarianBasininXinjiang),andMongolia(SKhovdandSWGovi-Altai). D.s.deasyiBarret-Hamilton,1900—NWChina(STarimBasininXinjiangandS&WQaidamBasininQinghai). D. s. fuscocanus Wang Sung, 1964 — W China (S foothills of E Tian Shan in Xinjiang). D. s. halli Sowerby, 1920 — China (NE Inner Mongolia [= Nei Mongol], SW Heilongjiang, NWJilin, and N Liaoning) and SE Mongolia (Stikhbaatar). D. s. innae Ognev, 1930 — S Russia (Astrakhan Region E of Volga River) and NW Kazakhstan (West Kazakhstan and Atyrau regions W of Ural River). D. s. lagopus Lichtenstein, 1823 — WC Kazakhstan (E of Emba and N of Syrdarya rivers). D. s. megacranius Shenbrot, 1991 — SE Kazakhstan (Moinkum Sands in Jambyl Region). D. s. nogai Satunin, 1907 — S European Russia (Volgograd and Astrakhan regions E of Volga River, Kalmykia, and Dagestan). D. s. sowerbyi Thomas, 1908 — N China (NE Xinjiang, N Qaidam Basin in Qinghai, Gansu, SW Inner Mongolia, N Ningxia, and N Shaanxi) and Mongolia. D. s. turanicus Shenbrot, 1991 — SW Kazakhstan (S Kyzylorda S of Syrdarya River and Mangystau regions), Uzbekistan, and Turkmenistan; it probably occurs in adjacent W Afghanistan. D. s. ubsanensis Bannikov, 1947 — NW Mongolia (N Uvs) and adjacent Russia (extreme S Tuva). D. s. usuni Shenbrot, 1991 — SE Kazakhstan (Almaty Region); it probably occurs in adjacent China (sands of Ili Valley of W Xinjiang). D. s. zaissanensis Selevin, 1934 — E Kazakhstan (NW Lake Zaysan Basin on the left bank of Irtysh River). Isolated population in N Iran (Turan Desert in E Semnan Province) may belong to turanicus or correspond to a yet undescribed subspecies. in Dipodidae
Subspecies and Distribution. pos sagitta Pallas, 1773 — S Russia (Altai Krai) and right bank of Irtysh River in Kazakhstan (Pavlodar and East Kazakhstan regions). D.s.aksuensisWangSung,1964—NWChina(NTarimBasininXinjiang). D.s.austrouralensisShenbrot,1991—NWKazakhstan(WestKazakhstan,Atyrau,andAktoberegionsbetweenUralandEmbarivers). D.s.bulganensisShenbrot,1991—EKazakhstan(ELakeZaysaninEastKazakhstanRegion),NWChina(DzungarianBasininXinjiang),andMongolia(SKhovdandSWGovi-Altai). D.s.deasyiBarret-Hamilton,1900—NWChina(STarimBasininXinjiangandS&WQaidamBasininQinghai). D. s. fuscocanus Wang Sung, 1964 — W China (S foothills of E Tian Shan in Xinjiang). D. s. halli Sowerby, 1920 — China (NE Inner Mongolia [= Nei Mongol], SW Heilongjiang, NWJilin, and N Liaoning) and SE Mongolia (Stikhbaatar). D. s. innae Ognev, 1930 — S Russia (Astrakhan Region E of Volga River) and NW Kazakhstan (West Kazakhstan and Atyrau regions W of Ural River). D. s. lagopus Lichtenstein, 1823 — WC Kazakhstan (E of Emba and N of Syrdarya rivers). D. s. megacranius Shenbrot, 1991 — SE Kazakhstan (Moinkum Sands in Jambyl Region). D. s. nogai Satunin, 1907 — S European Russia (Volgograd and Astrakhan regions E of Volga River, Kalmykia, and Dagestan). D. s. sowerbyi Thomas, 1908 — N China (NE Xinjiang, N Qaidam Basin in Qinghai, Gansu, SW Inner Mongolia, N Ningxia, and N Shaanxi) and Mongolia. D. s. turanicus Shenbrot, 1991 — SW Kazakhstan (S Kyzylorda S of Syrdarya River and Mangystau regions), Uzbekistan, and Turkmenistan; it probably occurs in adjacent W Afghanistan. D. s. ubsanensis Bannikov, 1947 — NW Mongolia (N Uvs) and adjacent Russia (extreme S Tuva). D. s. usuni Shenbrot, 1991 — SE Kazakhstan (Almaty Region); it probably occurs in adjacent China (sands of Ili Valley of W Xinjiang). D. s. zaissanensis Selevin, 1934 — E Kazakhstan (NW Lake Zaysan Basin on the left bank of Irtysh River). Isolated population in N Iran (Turan Desert in E Semnan Province) may belong to turanicus or correspond to a yet undescribed subspecies.
Distribution. NW Romania, Moldova, Ukraine, C & S European Russia, SE Bulgaria, E Greece, Turkey, Georgia, Armenia, Azerbaijan, Lebanon, Israel, E Syria, Jordan, N Iraq, Iran, Kazakhstan, SW Siberia (Omsk Region), Uzbekistan, Turkmenistan, Kyrgyzstan, Tajikistan, Afghanistan, Pakistan, NW India (Jammu and Kashmir), N China (Xinjiang, Qinghai, Gansu, Inner Mongolia [= Nei Mongol], and Ningxia), and Mongolia. in Cricetidae
Distribution. NW Romania, Moldova, Ukraine, C & S European Russia, SE Bulgaria, E Greece, Turkey, Georgia, Armenia, Azerbaijan, Lebanon, Israel, E Syria, Jordan, N Iraq, Iran, Kazakhstan, SW Siberia (Omsk Region), Uzbekistan, Turkmenistan, Kyrgyzstan, Tajikistan, Afghanistan, Pakistan, NW India (Jammu and Kashmir), N China (Xinjiang, Qinghai, Gansu, Inner Mongolia [= Nei Mongol], and Ningxia), and Mongolia.
Data from: North-south differentiation and a region of high diversity in European wolves (Canis lupus)
European wolves (Canis lupus) show population genetic structure in the absence of geographic barriers, and across relatively short distances for this highly mobile species. Additional information on the location of and divergence between population clusters is required, particularly because wolves are currently recolonizing parts of Europe. We evaluated genetic structure in 177 wolves from 11 countries using over 67K single nucleotide polymorphism (SNP) loci. The results supported previous findings of an isolated Italian population with lower genetic diversity than that observed across other areas of Europe. Wolves from the remaining countries were primarily structured in a north-south axis, with Croatia, Bulgaria, and Greece (Dinaric-Balkan) differentiated from northcentral wolves that included individuals from Finland, Latvia, Belarus, Poland and Russia. Carpathian Mountain wolves in central Europe had genotypes intermediate between those identified in northcentral Europe and the Dinaric-Balkan cluster. Overall, individual genotypes from northcentral Europe suggested high levels of admixture. We observed high diversity within Belarus, with wolves from western and northern Belarus representing the two most differentiated groups within northcentral Europe. Our results support the presence of at least three major clusters (Italy, Carpathians, Dinaric-Balkan) in southern and central Europe. Individuals from Croatia also appeared differentiated from wolves in Greece and Bulgaria. Expansion from glacial refugia, adaptation to local environments, and human-related factors such as landscape fragmentation and frequent killing of wolves in some areas may have contributed to the observed patterns. Our findings can help inform conservation management of these apex predators and the ecosystems of which they are part.
Distribution. Widespread in Europe (from Iceland, Britain, and Iberia E to S Norway, S Sweden, Belarus, SW European Russia, E Ukraine, and the Balkan Peninsula) and in coastal and mountainous regions of Morocco, Algeria, and Tunisia. in Muridae
Distribution. Widespread in Europe (from Iceland, Britain, and Iberia E to S Norway, S Sweden, Belarus, SW European Russia, E Ukraine, and the Balkan Peninsula) and in coastal and mountainous regions of Morocco, Algeria, and Tunisia.
Supplementary material 3 from: Sieber I, Borges P, Burkhard B (2018) Hotspots of biodiversity and ecosystem services: the Outermost Regions and Overseas Countries and Territories of the European Union. One Ecosystem 3: e24719. https://doi.org/10.3897/oneeco.3.e24719
Regional Overview: Mapping and Assessment of Ecosystem Services in the Caribbean EU Outermost Regions and Overseas Countries and Territories
Supplementary material 7 from: Sieber I, Borges P, Burkhard B (2018) Hotspots of biodiversity and ecosystem services: the Outermost Regions and Overseas Countries and Territories of the European Union. One Ecosystem 3: e24719. https://doi.org/10.3897/oneeco.3.e24719
Regional Overview: Mapping and Assessment of Ecosystem Services in the Pacific EU Overseas Countries and Territories
Supplementary material 4 from: Sieber I, Borges P, Burkhard B (2018) Hotspots of biodiversity and ecosystem services: the Outermost Regions and Overseas Countries and Territories of the European Union. One Ecosystem 3: e24719. https://doi.org/10.3897/oneeco.3.e24719
Regional Overview: Mapping and Assessment of Ecosystem Services in the Amazonian EU Outermost Region
Supplementary material 6 from: Sieber I, Borges P, Burkhard B (2018) Hotspots of biodiversity and ecosystem services: the Outermost Regions and Overseas Countries and Territories of the European Union. One Ecosystem 3: e24719. https://doi.org/10.3897/oneeco.3.e24719
Regional Overview: Mapping and Assessment of Ecosystem Services in the Indian Ocean EU Outermost Regions and Overseas Countries and Territories
Supplementary material 1 from: Sieber I, Borges P, Burkhard B (2018) Hotspots of biodiversity and ecosystem services: the Outermost Regions and Overseas Countries and Territories of the European Union. One Ecosystem 3: e24719. https://doi.org/10.3897/oneeco.3.e24719
Regional Overview: Mapping and Assessment of Ecosystem Services in the Polar and South Polar EU Overseas Countries and Territories
Supplementary material 5 from: Sieber I, Borges P, Burkhard B (2018) Hotspots of biodiversity and ecosystem services: the Outermost Regions and Overseas Countries and Territories of the European Union. One Ecosystem 3: e24719. https://doi.org/10.3897/oneeco.3.e24719
Regional Overview: Mapping and Assessment of Ecosystem Services in the South Atlantic EU Overseas Countries and Territories
Fig. 2 in The Rhagionidae or Snipeflies of the Botanical Garden Jean Massart (Brussels-Capital Region, Belgium) with notes on the identity of the rare European species Archicera avarorum Szilády, 1934 and Ptiolina obscura (Fallén, 1814) (Diptera: Rhagionidae)
Fig. 2. View on the environment around the Malaise traps in the Botanical Garden Jean Massart: A. MT1; B. MT2. © Alain Drumont.
Fig. 8 in The Rhagionidae or Snipeflies of the Botanical Garden Jean Massart (Brussels-Capital Region, Belgium) with notes on the identity of the rare European species Archicera avarorum Szilády, 1934 and Ptiolina obscura (Fallén, 1814) (Diptera: Rhagionidae)
Fig. 8. Ptiolina obscura (Fallén, 1814) Male terminalia. A. Ventral view; B. Dorsal view. Scale 0.1 mm. © Patrick Grootaert.
Fig. 1. A in The Rhagionidae or Snipeflies of the Botanical Garden Jean Massart (Brussels-Capital Region, Belgium) with notes on the identity of the rare European species Archicera avarorum Szilády, 1934 and Ptiolina obscura (Fallén, 1814) (Diptera: Rhagionidae)
Fig. 1. A. Location of the Jardin Jean Massart at the outskirts of Brussels. B. Red dot on the left is Malaise trap MT1 (West), on the right side MT2 (East).
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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.