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6,170 results for “european”
Low but significant evolutionary potential for growth, phenology and reproduction traits in European beech
<p>Local survival of forest tree populations under climate change depends on existing genetic variation and their adaptability to changing environments. Responses to selection were studied in European beech (<em>Fagus sylvatica</em>) under field conditions. A total of 1,087 adult trees, seeds, one-year-old seedlings, and established multiyear saplings were genotyped with 16 nuSSRs. Adult trees were assessed for phenotypic traits related to growth, phenology and reproduction. Parentage and paternity analyses were used to estimate effective female and male fecundity as a proxy of fitness and showed that few parents contributed to successful regeneration. Selection gradients were estimated from the relationship between traits and fecundity, while heritability and evolvability were estimated using mixed models and the breeder's equation. Larger trees bearing more fruit and early male flowering had higher total fecundity, while trees with longer growth season had lower total fecundity (directional selection). Stabilising selection on spring phenology was found for female fecundity, highlighting the role of late frosts as a selection driver. Selection gradients for other traits varied between measurement years and the offspring cohort used to estimate parental fecundity. Compared to other studies in natural populations, we found low to moderate heritability and evolvability for most traits. Response to selection was higher for growth than for budburst, leaf senescence or reproduction traits, reflecting more consistent selection gradients across years and sex functions, and higher phenotypic variability in the population. Our study provides empirical evidence suggesting that populations of long-lived organisms such as forest trees can adapt locally, even at short-time scales.</p>
2. Acipes atlanticus Attems, 1937 in Atlas of European millipedes 2: Order Julida (Class Diplopoda)
2. Acipes atlanticus Attems, 1937
Data from: Relict stands of Central European oaks: unravelling autochthony and genetic structure based on a multi-population study
<p><span>Central European white oaks expanded rapidly after the last glacial period and reached their current distribution range during the early Holocene. They have been an important resource of timber, fuelwood and animal feed for humans, who actively promoted their presence in forests and other landscape types at least since the early historical times. Besides stands with intensive management, putatively relict populations of three native oak species can be found on unproductive sites with restricted accessibility. Here, we apply chloroplast and nuclear microsatellite markers in order to address the autochthony of relict and managed stands and compare the spatial distribution of genetic variation between them. Based on data from more than 150 populations, we demonstrate that oak autochthony was preserved throughout historical times which is likely the result of traditional silvicultural treatment. This is supported by the fact that the spatial pattern of chloroplast haplotype distribution still reflects the post-glacial recolonization in both relict and old managed stands. We observed significant admixture of haplotypes only in stands established after the Second World War, which is attributable to the transfer of reproductive material used for afforestation. In terms of nuclear genetic variation, we observed marked differences among species. <em>Quercus</em> <em>pubescens</em> exhibited a pronounced genetic structure. Genetic drift and limited gene flow among its small and isolated populations in our study area might have contributed to this pattern. Varying extent of genetic introgression with other sympatric oak species could offer an additional explanation. On the contrary, the gene pools of <em>Q. petraea </em>and<em> Q. robur</em> are highly homogenous, displaying only weak isolation-by-distance. We found no significant differences of genetic diversity and differentiation between relict and managed stands. This suggests that seed transfer mostly occurred within our study area, even in those stands established in post-war times, verifying previous findings that point out limited human interference. We recommend consideration of population genetic structure for gene conservation, with a finer resolution of gene conservation units needed for <em>Q. pubescens </em>due to its spatial genetic structure. Both relict and old managed stands, species-pure or mixed, are suitable for conservation, as they host autochthonous gene pools. Coppice-with-standard management could contribute to preservation of autochthony. In the face of climate change, it is also important to maintain the evolutionary potential of the stands, by facilitating generative reproduction and allowing for hybridization in mixed stands.</span></p>
Taxation of forest stands on 29 plots conducted of the Lyalsky test site in the Central-Eastern Forest Taxation District of the European part of Russia was carried out during August 2023
<p>The taxation characteristics of a forest stand include: forest type, tree species, diameter, height, age, state, and degree of decomposition for fallen trees and stumps. Forest taxation was carried out according to the methodology [Fieldwork methodology for forest inventory on a test site as part of the implementation of the important state-level innovative project 'Carbon in Ecosystems: Monitoring'. URL: https://ritm-c.ru/wp-content/uploads/2023/09/metodika-polevyh-rabot-po-taksaczii-na-ppp_27_06_2023-.pdf].</p><p>The research was carried out by employees of the Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences as part of the most important innovative project of national importance 'Development of a system for ground-based and remote monitoring of carbon pools and greenhouse gas fluxes in the territory of the Russian Federation, ensuring the creation of recording data systems on the fluxes of climate-active substances and the carbon budget in forests and other terrestrial ecological systems' (Registration number: 123030300031-6).</p>
Genotypes and geographic positions of 5797 European white oaks from 636 locations genotyped at 355 nuclear SNPs and 28 maternally inherited SNPs of the chloroplast and mitochondria
<p class="MsoNormal"><span>The data set is the result of genetic inventory on 5797 white oaks collected at 636 locations all over Europe. The oaks trees were assigned in forest inventories as <em>Quercus robur</em> </span><em>L.</em> <span>(3342), <em>Quercus petraea </em></span><em>Matt</em>. <span>(2090), <em>Quercus pubescens </em></span><em>Willd</em>. <span>(170) or as unspecified <em>Quercus</em>. spp. (195). The sampling had a focus on central and east Europe as well as the Black Sea and Caucasus region. All individuals were genotyped at 355 nuclear SNPs and 28 maternally inherited SNPs of the chloroplast and mitochondria. The combination of the maternally inherited SNPs resulted in 26 different haplotypes. </span></p> <p class="MsoNormal"><span>The genotype of each individual is one row in the csv-file "genotypes". The genotypes at the nuclear markers are diploid and represented by two columns per gene marker. The genetic information at the organelle genome is haploid. For each of these gene markers one column is used. Genotypes are coded by Arabic numbers. The meaning of the numbers is explained in the table "coding genotypes" in a second csv-file. Each Individual has a unique "Genotype_ID" and a "Thuenen_Sample_ID". The "Thuenen_Sample_ID" is a unique ID that serves to identify the sample in our depository at the Thuenen Institute of Forest Genetics. Each individual has data on the geographic origin given as "Longitude" and "Latitude" in decimal degrees. For each individual the putative oak species ("Putative species") as it has been assigned in the forest inventories is given. The numbers of the "Haplotype" represent the multilocus combination of the mitochondrial and chloroplast SNPs of that individual.</span></p>
European soil bulk density and organic carbon stock database using LUCAS Soil 2018
<p>We complied the European topsoil bulk density and organic carbon stock database (0-20 cm) using LUCAS Soil 2018. This database inlcudes 18,945 and 15,389 soil samples (0-20 cm) with bulk density in fine fraction (Bdfine) and soil organic cabron stock (SOCS) for the EU and UK using the best traditional pedotransfer function (T-PTF-4) and machine leanring based PTFs (Local-RFFRFS). It also contains the POINTID linked to LUCAS Soil 2018, coarse fragements in volume (coarse_vol) and coordinates (GPS_LAT, GPS_LONG). For more information, please refer to LUCAS 2018 TOPSOIL data (https://esdac.jrc.ec.europa.eu/content/lucas-2018-topsoil-data).</p> <p>This dataset is asscoated to the "European soil bulk density and organic carbon stock database using machine learning based pedotransfer function" by Chen et al. (2024).</p> <p>Manuscript citation: Chen, S., Chen, Z., Zhang, X., Luo, Z., Schillaci, C., Arrouays, D., Richer-de-Forges, A.C., Shi, Z. , 2024. European topsoil bulk density and organic carbon stock database (0-20 cm) using machine learning based pedotransfer functions. Earth System Science Data, 16, 2367–2383.</p> <p>When using the data, please cite repositories as well as the original manuscript.</p> <p>For any questions on the data, please contact Dr. Songchao Chen (chensongchao@zju.edu.cn).</p>
Datasets of the paper: Phylogenetic Insights into Central European Chorthippus and Pseudochorthippus (Orthoptera: Acrididae) Species Using ddRADseq Data
<p>Alignments, trees & tree files, Structure plots & structure input files, and a table with relevant metadata of the paper "Phylogenetic Insights into Central European <i>Chorthippus </i>and <i>Pseudochorthippus </i>(Orthoptera: Acrididae) Species Using ddRADseq Data"</p>
Data from: Molecular variation and phylogeography within European Isothecium alopecuroides and Pseudisothecium myosuroides (Bryophyta, Lembophyllaceae)
<p><span>Earlier studies on <em>Isothecium</em> s.l. suggested potential interchange of genetic material between species that are nowadays known to belong to separate genera. In this study, we analyze the molecular variation in three molecular markers (nuclear <em>gdp</em>; mitochondrial <em>nad</em>5; and plastid <em>trn</em>G) in a wide selection of <em>Isothecium</em> <em>alopecuroides</em> and <em>Pseudisothecium</em> <em>myosuroides</em> specimens to infer whether this exchange of genetic material is frequent. In addition, we explore the phylogeographic structure of these two species in Europe. Our results show repeated genetic interchange for the nuclear and mitochondrial markers in both species, with intergeneric hybridization as the most probable explanation. The genetic lineages found indicate a complex biogeographical history for <em>I</em>. <em>alopecuroides</em>, including both postglacial immigration from different glacial refugia and developing haplotypes potentially adapted to cold climates. As for <em>P</em>. <em>myosuroides</em>, genetic variants could either indicate a postglacial immigration history or adaptation to oceanic conditions. Further studies including a larger set of more variable molecular markers could help to reach final conclusions on the results here presented.</span></p>
Animal disease data complementing the European Union One Health 2022 Zoonoses Report
<p>This dataset contains the mandatory annual data reported for bovine tuberculosis and for bovine and ovine and caprine brucellosis based on Directive 2003/99.</p>
Sample based prevalence data complementing the European Union One Health 2022 Zoonoses Report - the United Kingdom (Northern Ireland)
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Sample based prevalence data complementing the European Union One Health 2022 Zoonoses Report - Croatia
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Sample based prevalence data complementing the European Union One Health 2022 Zoonoses Report - Ireland
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Sample based prevalence data complementing the European Union One Health 2022 Zoonoses Report - Sweden
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Sample based prevalence data complementing the European Union One Health 2022 Zoonoses Report - Norway
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Sample based prevalence data complementing the European Union One Health 2022 Zoonoses Report - Luxembourg
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Sample based prevalence data complementing the European Union One Health 2022 Zoonoses Report - Finland
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Prevalence data complementing the European Union One Health 2022 Zoonoses Report
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation is: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Food and waterborne outbreaks data complementing the European Union One Health 2022 Zoonoses Report
<p>Food and waterborne outbreaks data reported under the framework of Directive 2003/99/EC and in accordance with the update of the technical specifications for harmonised reporting of FBOs through the EU reporting system in accordance with Directive 2003/99/EC. This dataset includes the number of outbreaks, as well as the number of human cases, hospitalisations and deaths, per causative agent. In addition, other information can include data on causative agents, food vehicles, and the factors in food preparation and handling that contributed to the food-borne outbreaks. Reporting countries can also provide information on the nature of the evidence supporting the suspicion of the food vehicle. This evidence can be epidemiological, microbiological, descriptive environmental, or based on product tracing investigations. </p>
Data from "Elevation affects both the occurrence of ungulate browsing and its effect on tree seedling growth for four major tree species in European mountain forests"
<p>This repository contains the field data used in the paper from Bernard et al. on the interactive effect of elevation and ungulate browsing on tree regeneration. This dataset is associated with a github repository containing the code to run the analyses of the paper, publicly available at https://github.com/jbarrere3/BaccaraPaper. </p><p> </p><p>Data were collected for the Baccara project, by Elena Granda, Raquel Benavides, Sonia Rabasa, Georges Kunstler, and Marco Heurich. </p>
Supplementary digital data for "Widespread contamination of soils and vegetation with Current Use Pesticide residues along altitudinal gradients in a European Alpine valley"
<p>Supplementary digital data for the publication:</p> <p>Widespread contamination of soils and vegetation with Current Use Pesticide residues along altitudinal gradients in a European Alpine valley</p> <p>Data that was no publicly available but is used for Figure 1 - 3 in the manuscript is provided in this repository in addition to the raw data describing the occurrence in plant and soil matrices throughout the Vinschgau valley along the altitudinal transects.</p> <p> </p>
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OpenNeuro
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