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description Publicationkeyboard_double_arrow_right Article , Preprint 2020 France, United KingdomPublisher:Elsevier BV Funded by:EPA, FCT | Center for Environmental ..., EC | ERA4CS +1 projectsEPA ,FCT| Center for Environmental and Sustainability Research ,EC| ERA4CS ,UKRI| Integrated Development of Low-Carbon Energy Systems (IDLES): A Whole-System Paradigm for Creating a National StrategyYves-Marie Saint-Drenan; Romain Besseau; Malte Jansen; Iain Staffell; Alberto Troccoli; Laurent Dubus; Johannes Schmidt; Katharina Gruber; Sofia Simoes; Siegfried Heier;A wind turbine's power curve relates its power production to the wind speed it experiences. The typical shape of a power curve is well known and has been studied extensively; however, the power curves of individual turbine models can vary widely from one another. This is due to both the technical features of the turbine (power density, cut-in and cut-out speeds, limits on rotational speed and aerodynamic efficiency), and environmental factors (turbulence intensity, air density, wind shear and wind veer). Data on individual power curves are often proprietary and only available through commercial databases. We therefore develop an open-source model which can generate the power curve of any turbine, adapted to the specific conditions of any site. This can employ one of six parametric models advanced in the literature, and accounts for the eleven variables mentioned above. The model is described, the impact of each technical and environmental feature is examined, and it is then validated against the manufacturer power curves of 91 turbine models. Versions of the model are made available in MATLAB, R and Python code for the community. Comment: preprint submitted to Renewable Energy
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2020 . Peer-reviewedData sources: University of East Anglia digital repositoryMémoires en Sciences de l'Information et de la CommunicationArticle . 2020License: CC BY NCFull-Text: https://hal.science/hal-03113055/documenthttps://doi.org/10.48550/arxiv...Article . 2019License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 69 citations 69 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 6visibility views 6 download downloads 180 Powered bymore_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2020 . Peer-reviewedData sources: University of East Anglia digital repositoryMémoires en Sciences de l'Information et de la CommunicationArticle . 2020License: CC BY NCFull-Text: https://hal.science/hal-03113055/documenthttps://doi.org/10.48550/arxiv...Article . 2019License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2020.04.123&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2019 France, ItalyPublisher:Copernicus GmbH Publicly fundedFunded by:EC | CRESCENDO, EC | ERA4CS, EC | ECOPOTENTIALEC| CRESCENDO ,EC| ERA4CS ,EC| ECOPOTENTIALTerzago S.[1]; Andreoli V.[2]; Arduini G.[3]; Balsamo G.[3]; Campo L.[4]; Cassardo C.[2]; Cremonese E.[5]; Dolia D.[4]; Gabellani S.[4]; Von Hardenberg J.[1; 6]; Morra Di Cella U.[5]; Palazzi E.[1]; Piazzi G.[4; 7]; Pogliotti P.[5]; Provenzale A.[8];handle: 11583/2959562 , 2318/1847793
Snow models are usually evaluated at sites providing high-quality meteorological data, so that the uncertainty in the meteorological input data can be neglected when assessing model performances. However, high-quality input data are rarely available in mountain areas and, in practical applications, the meteorological forcing used to drive snow models is typically derived from spatial interpolation of the available in situ data or from reanalyses, whose accuracy can be considerably lower. In order to fully characterize the performances of a snow model, the model sensitivity to errors in the input data should be quantified. In this study we test the ability of six snow models to reproduce snow water equivalent, snow density and snow depth when they are forced by meteorological input data with gradually lower accuracy. The SNOWPACK, GEOTOP, HTESSEL, UTOPIA, SMASH and S3M snow models are forced, first, with high-quality measurements performed at the experimental site of Torgnon, located at 2160 m a.s.l. in the Italian Alps (control run). Then, the models are forced by data at gradually lower temporal and/or spatial resolution, obtained by (i) sampling the original Torgnon 30 min time series at 3, 6, and 12 h, (ii) spatially interpolating neighbouring in situ station measurements and (iii) extracting information from GLDAS, ERA5 and ERA-Interim reanalyses at the grid point closest to the Torgnon site. Since the selected models are characterized by different degrees of complexity, from highly sophisticated multi-layer snow models to simple, empirical, single-layer snow schemes, we also discuss the results of these experiments in relation to the model complexity. The results show that, when forced by accurate 30 min resolution weather station data, the single-layer, intermediate-complexity snow models HTESSEL and UTOPIA provide similar skills to the more sophisticated multi-layer model SNOWPACK, and these three models show better agreement with observations and more robust performances over different seasons compared to the lower-complexity models SMASH and S3M. All models forced by 3-hourly data provide similar skills to the control run, while the use of 6- and 12-hourly temporal resolution forcings may lead to a reduction in model performances if the incoming shortwave radiation is not properly represented. The SMASH model generally shows low sensitivity to the temporal degradation of the input data. Spatially interpolated data from neighbouring stations and reanalyses are found to be adequate forcings, provided that temperature and precipitation variables are not affected by large biases over the considered period. However, a simple bias-adjustment technique applied to ERA-Interim temperatures allowed all models to achieve similar performances to the control run. Regardless of their complexity, all models show weaknesses in the representation of the snow density.
Archivio Istituziona... arrow_drop_down Hydrology and Earth System Sciences (HESS)Other literature type . Article . 2020 . Peer-reviewedLicense: CC BYHydrology and Earth System Sciences (HESS)Other literature type . 2020Data sources: Copernicus PublicationsHydrology and Earth System Sciences; Hydrology and Earth System Sciences (HESS)Article . Preprint . 2020License: CC BYHydrology and Earth System Sciences (HESS)Other literature type . 2019Data sources: Copernicus PublicationsMémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2020License: CC BYFull-Text: https://hal.inrae.fr/hal-03330086/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/hess-2019-511&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 26 citations 26 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Archivio Istituziona... arrow_drop_down Hydrology and Earth System Sciences (HESS)Other literature type . Article . 2020 . Peer-reviewedLicense: CC BYHydrology and Earth System Sciences (HESS)Other literature type . 2020Data sources: Copernicus PublicationsHydrology and Earth System Sciences; Hydrology and Earth System Sciences (HESS)Article . Preprint . 2020License: CC BYHydrology and Earth System Sciences (HESS)Other literature type . 2019Data sources: Copernicus PublicationsMémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2020License: CC BYFull-Text: https://hal.inrae.fr/hal-03330086/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019 France, Netherlands, Poland, Netherlands, United Kingdom, Netherlands, Netherlands, Brazil, Netherlands, Argentina, Spain, Spain, Croatia, ItalyPublisher:Cold Spring Harbor Laboratory Publicly fundedFunded by:EC | BIOBIO, EC | SPECIALS, NSERC +11 projectsEC| BIOBIO ,EC| SPECIALS ,NSERC ,EC| ECOWORM ,FCT| LA 1 ,AKA| Macrodetritivore range shifts and implications for aboveground-belowground interactions ,NSF| IGERT: Ecology, Management and Restoration of Integrated Human/Natural Landscapes ,NWO| EV Diagnostics for monitoring therapy byliquid tuneable Coulter flowcytometry (project 3.2) ,EC| Gradual_Change ,NSF| Predicting Regional Invasion Dynamic Processes (PRIDE)-Developing a Cross-scale, Functional-trait Based Modeling Framework ,EC| FUNDIVEUROPE ,FWF| Litter decomposition and humus formation in highalpine soils ,FWF| The macrofauna decomposer food web on alpine pastureland ,EC| AGFORWARDAuthors: Helen Phillips; Carlos A. Guerra; Marie Luise Carolina Bartz; Maria J. I. Briones; +137 AuthorsHelen Phillips; Carlos A. Guerra; Marie Luise Carolina Bartz; Maria J. I. Briones; George G. Brown; Thomas W. Crowther; Olga Ferlian; Konstantin B. Gongalsky; Johan van den Hoogen; Julia Krebs; Alberto Orgiazzi; Devin Routh; Benjamin Schwarz; Elizabeth M. Bach; Joanne M. Bennett; Ulrich Brose; Thibaud Decaëns; Birgitta König-Ries; Michel Loreau; Jérôme Mathieu; Christian Mulder; Wim H. van der Putten; Kelly S. Ramirez; Matthias C. Rillig; David J. Russell; Michiel Rutgers; Madhav P. Thakur; Franciska T. de Vries; Diana H. Wall; David A. Wardle; Miwa Arai; Fredrick O. Ayuke; Geoff H. Baker; Robin Beauséjour; José Camilo Bedano; Klaus Birkhofer; Eric Blanchart; Bernd Blossey; Thomas Bolger; Robert L. Bradley; Mac A. Callaham; Yvan Capowiez; Mark E. Caulfield; Amy Choi; Felicity Crotty; Andrea Dávalos; Darío J. Díaz Cosín; Anahí Domínguez; Andrés Esteban Duhour; Nick van Eekeren; Christoph Emmerling; Liliana B. Falco; Rosa Fernández; Steven J. Fonte; Carlos Fragoso; André L.C. Franco; Martine Fugère; Abegail T Fusilero; Shaieste Gholami; Michael J. Gundale; Mónica Gutiérrez López; Davorka K. Hackenberger; Luis M. Hernández; Takuo Hishi; Andrew R. Holdsworth; Martin Holmstrup; Kristine N. Hopfensperger; Esperanza Huerta Lwanga; Veikko Huhta; Tunsisa T. Hurisso; Basil V. Iannone; Madalina Iordache; Monika Joschko; Nobuhiro Kaneko; Radoslava Kanianska; Aidan M. Keith; Courtland Kelly; Maria Kernecker; Jonatan Klaminder; Armand W. Koné; Yahya Kooch; Sanna T. Kukkonen; H. Lalthanzara; Daniel R. Lammel; Iurii M. Lebedev; Yiqing Li; Juan B. Jesús Lidón; Noa Kekuewa Lincoln; Scott R. Loss; Raphaël Marichal; Radim Matula; Jan Hendrik Moos; Gerardo Moreno; Alejandro Morón-Ríos; Bart Muys; Johan Neirynck; Lindsey Norgrove; Marta Novo; Visa Nuutinen; Victoria Nuzzo; Mujeeb Rahman P; Johan Pansu; Shishir Paudel; Guénola Pérès; Lorenzo Pérez-Camacho; Raúl Piñeiro; Jean-François Ponge; Muhammad Rashid; Salvador Rebollo; Javier Rodeiro-Iglesias; Miguel Á. Rodríguez; Alexander M. Roth; Guillaume Xavier Rousseau; Anna Rożen; Ehsan Sayad; Loes van Schaik; Bryant C. Scharenbroch; Michael Schirrmann; Olaf Schmidt; Boris Schröder; Julia Seeber; Maxim Shashkov; Jaswinder Singh; Sandy M. Smith; Michael Steinwandter; José Antonio Talavera; Dolores Trigo; Jiro Tsukamoto; Anne W. de Valença; Steven J. Vanek; Iñigo Virto; Adrian A. Wackett; Matthew W. Warren; Nathaniel H. Wehr; Joann K. Whalen; Michael B. Wironen; Volkmar Wolters; Irina V. Zenkova; Weixin Zhang; Erin K. Cameron; Nico Eisenhauer;677232 to N.E.). K.S.R. and W.H.v.d.P. were supported by ERC-ADV grant 323020 to W.H.v.d.P. Also supported by iDiv (DFG FZT118) Flexpool proposal 34600850 (C.A.G. and N.E.); the Academy of Finland (285882) and the Natural Sciences and Engineering Research Council of Canada (postdoctoral fellowship and RGPIN-2019-05758) (E.K.C.); DOB Ecology (T.W.C., J.v.d.H., and D.R.); ERC-AdG 694368 (M.R.); and the TULIP Laboratory of Excellence (ANR-10-LABX-41) (M.L.). In addition, data collection was funded by the Russian Foundation for Basic Research (12-04-01538-a, 12-04-01734-a, 14-44-03666-r_center_a, 15-29-02724-ofi_m, 16-04-01878-a 19-05-00245); Tarbiat Modares University; Aurora Organic Dairy; UGC(NERO) (F. 1-6/Acctt./NERO/2007-08/1485); Natural Sciences and Engineering Research Council (RGPIN-2017-05391); Slovak Research and Development Agency (APVV-0098-12); Science for Global Development through Wageningen University; Norman Borlaug LEAP Programme and International Atomic Energy Agency (IAEA); São Paulo Research Foundation - FAPESP (12/22510-8); Oklahoma Agricultural Experiment Station; INIA - Spanish Agency (SUM 2006-00012-00-0); Royal Canadian Geographical Society; Environmental Protection Agency (Ireland) (2005-S-LS-8); University of Hawai‘i at Mānoa (HAW01127H; HAW01123M); European Union FP7 (FunDivEurope, 265171); U.S. Department of the Navy, Commander Pacific Fleet (W9126G-13-2-0047); Science and Engineering Research Board (SB/SO/AS-030/2013) Department of Science and Technology, New Delhi, India; Strategic Environmental Research and Development Program (SERDP) of the U.S. Department of Defense (RC-1542); Maranhão State Research Foundation (FAPEMA); Coordination for the Improvement of Higher Education Personnel (CAPES); Ministry of Education, Youth and Sports of the Czech Republic (LTT17033); Colorado Wheat Research Foundation; Zone Atelier Alpes, French National Research Agency (ANR-11-BSV7-020-01, ANR-09-STRA-02-01, ANR 06 BIODIV 009-01); Austrian Science Fund (P16027, T441); Landwirtschaftliche Rentenbank Frankfurt am Main; Welsh Government and the European Agricultural Fund for Rural Development (Project Ref. A AAB 62 03 qA731606); SÉPAQ; Ministry of Agriculture and Forestry of Finland; Science Foundation Ireland (EEB0061); University of Toronto (Faculty of Forestry); National Science and Engineering Research Council of Canada; Haliburton Forest and Wildlife Reserve; NKU College of Arts and Sciences Grant; Österreichische Forschungsförderungsgesellschaft (837393 and 837426); Mountain Agriculture Research Unit of the University of Innsbruck; Higher Education Commission of Pakistan; Kerala Forest Research Institute, Peechi, Kerala; UNEP/GEF/TSBF-CIAT Project on Conservation and Sustainable Management of Belowground Biodiversity; Ministry of Agriculture and Forestry of Finland; Complutense University of Madrid/European Union FP7 project BioBio (FPU UCM 613520); GRDC; AWI; LWRRDC; DRDC; CONICET (National Scientific and Technical Research Council) and FONCyT (National Agency of Scientific and Technological Promotion) (PICT, PAE, PIP), Universidad Nacional de Luján y FONCyT [PICT 2293 (2006)], Fonds de recherche sur la nature et les technologies du Québec (131894), Deutsche Forschungsgemeinschaft [SCHR1000/3-1, SCHR1000/6-1, 6-2 (FOR 1598), WO 670/7-1, WO 670/7-2, and SCHA 1719/1-2], CONACYT (FONDOS MIXTOS TABASCO/PROYECTO11316); NSF (DGE-0549245, DGE-0549245, DEB-BE-0909452, NSF1241932); Institute for Environmental Science and Policy at the University of Illinois at Chicago; Dean’s Scholar Program at UIC; Garden Club of America Zone VI Fellowship in Urban Forestry from the Casey Tree Endowment Fund; J. E. Weaver Competitive Grant from the Nebraska Chapter of The Nature Conservancy; the College of Liberal Arts and Sciences at DePaul University; Elmore Hadley Award for Research in Ecology and Evolution from the UIC Dept. of Biological Sciences; Spanish CICYT (AMB96-1161; REN2000-0783/GLO; REN2003-05553/GLO; REN2003-03989/GLO; CGL2007-60661/BOS); Yokohama National University; MEXT KAKENHI (25220104); Japan Society for the Promotion of Science KAKENHI (25281053, 17KT0074, 25252026); ADEME (0775C0035); Ministry of Science, Innovation and Universities of Spain (CGL2017-86926-P); Syngenta Philippines; UPSTREAM; LTSER (Val Mazia/Matschertal); Marie Sklodowska Curie Postdoctoral Fellowship (747607); National Science and Technology Base Resource Survey Project of China (2018FY100306); McKnight Foundation (14-168); Program of Fundamental Researches of Presidium of Russian Academy of Sciences (AAAA-A18-118021490070-5); Brazilian National Council of Research CNPq; and French Ministry of Foreign and European Affairs. Author contributions: H.R.P.P. led the analysis, data curation, and writing of the original manuscript draft. C.A.G. assisted in analyses and writing of the original manuscript draft. E.K.C. and N.E. revised subsequent manuscript drafts. J.v.d.H., D.R., and T.W.C. provided additional analyses. E.K.C., N.E., and M.P.T. acquired funding for the project. J.K., K.B.G., B.S., M.L.C.B., M.J.I.B., and G.B. contributed to data curation. H.R.P.P., C.A.G., M.L.C.B., M.J.I.B., G.B., O.F., A.O., E.M.B., J.B., U.B., T.D., F.T.d.V., B.K.-R., M.L., J.M., C.M., W.H.v.d.P., K.S.R., M.C.R., D.R., M.R., M.P.T., D.H.W., D.A.W., E.K.C., and N.E. contributed to the project conceptualization. All authors reviewed and edited the final draft manuscript. The majority of the authors provided data for the analyses. Competing interests: The authors declare no competing interests. Data and materials availability: Data and analysis code are available on the iDiv Data repository (DOI: 10.25829/idiv.1804-5-2593) and GitHub (https://github.com/helenphillips/GlobalEWDiversity; DOI: 10.5281/zenodo.3386456). Soil organisms, including earthworms, are a key component of terrestrial ecosystems. However, little is known about their diversity, their distribution, and the threats affecting them. We compiled a global dataset of sampled earthworm communities from 6928 sites in 57 countries as a basis for predicting patterns in earthworm diversity, abundance, and biomass. We found that local species richness and abundance typically peaked at higher latitudes, displaying patterns opposite to those observed in aboveground organisms. However, high species dissimilarity across tropical locations may cause diversity across the entirety of the tropics to be higher than elsewhere. Climate variables were found to be more important in shaping earthworm communities than soil properties or habitat cover. These findings suggest that climate change may have serious implications for earthworm communities and for the functions they provide.
HAL Descartes; HAL -... arrow_drop_down HAL Descartes; HAL - UPEC / UPEM; Mémoires en Sciences de l'Information et de la Communication; HAL-IRD; Science; Hal-DiderotArticle . Preprint . 2019License: CC BYFull-Text: https://hal.inrae.fr/hal-02788558/documentResearch@WUR; NERC Open Research Archive; Croatian Scientific Bibliography - CROSBI; ScienceOther literature type . Article . 2019 . Peer-reviewedRecolector de Ciencia Abierta, RECOLECTA; ScienceArticle . 2020 . 2019CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y TécnicasArticle . 2019License: CC BY NC SAIRIS - Università degli Studi di CataniaArticle . 2019Data sources: IRIS - Università degli Studi di CataniaNARCIS; ScienceArticle . 2019IRIS - Università degli Studi di CataniaArticle . 2019Data sources: IRIS - Università degli Studi di CataniaHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2019add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 234 citations 234 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 53visibility views 53 download downloads 424 Powered bymore_vert HAL Descartes; HAL -... arrow_drop_down HAL Descartes; HAL - UPEC / UPEM; Mémoires en Sciences de l'Information et de la Communication; HAL-IRD; Science; Hal-DiderotArticle . Preprint . 2019License: CC BYFull-Text: https://hal.inrae.fr/hal-02788558/documentResearch@WUR; NERC Open Research Archive; Croatian Scientific Bibliography - CROSBI; ScienceOther literature type . Article . 2019 . Peer-reviewedRecolector de Ciencia Abierta, RECOLECTA; ScienceArticle . 2020 . 2019CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y TécnicasArticle . 2019License: CC BY NC SAIRIS - Università degli Studi di CataniaArticle . 2019Data sources: IRIS - Università degli Studi di CataniaNARCIS; ScienceArticle . 2019IRIS - Università degli Studi di CataniaArticle . 2019Data sources: IRIS - Università degli Studi di CataniaHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2019add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/587394&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2019 France, Netherlands, Spain, Spain, Denmark, France, Italy, Belgium, FrancePublisher:Cold Spring Harbor Laboratory Publicly fundedFunded by:EC | COEVOLUTION, ARC | Linkage Projects - Grant ..., NSF | Microbes, Diet, and Homin... +12 projectsEC| COEVOLUTION ,ARC| Linkage Projects - Grant ID: LP160100408 ,NSF| Microbes, Diet, and Hominin Evolution: Comparative and Metagenomic Approaches ,ARC| Discovery Early Career Researcher Award - Grant ID: DE170100525 ,NSF| STEMM: Sequence Technology Education Using Microbial Metagenomes ,EC| CD-LINK ,NWO| Understanding the causal relationships between the host genome, microbiota and lipids ,NWO| Illuminating "dark matter": unknown bacteriophages and their role in our intestinal ecosystem ,UKRI| SemenRate Canada/UK: Transforming Germplasm and Genetic Quality to Drive Livestock Productivity ,EC| COMPARE ,NWO| Memorizing, finding and destroying the enemy: mechanism of an adaptive immune system in prokaryotes ,ANR| HeartVir ,EC| BabyVir ,NIH| High-throughput studies of reassortment and coinfection of influenza viruses ,NSERCRobert Edwards; Alejandro A. Vega; Holly M. Norman; Maria Ohaeri; Kyle Levi; Elizabeth A. Dinsdale; Ondrej Cinek; Ramy K. Aziz; Katelyn McNair; Jeremy J. Barr; Kyle Bibby; Stan J. J. Brouns; Adrian Cazares; Patrick A. de Jonge; Christelle Desnues; Samuel L. Díaz Muñoz; Peter C. Fineran; Alexander Kurilshikov; Rob Lavigne; Karla Mazankova; David Thomas McCarthy; Franklin L. Nobrega; Alejandro Reyes Muñoz; German Tapia; Nicole Trefault; Alexander V. Tyakht; Pablo Vinuesa; Jeroen Wagemans; Alexandra Zhernakova; Frank Møller Aarestrup; Gunduz Ahmadov; Abeer Alassaf; Josefa Antón; Abigail E. Asangba; Emma Billings; Vito Adrian Cantu; Jane M. Carlton; Daniel Cazares; Gyu Sung Cho; Tess Condeff; Pilar Cortés; Mike Cranfield; Daniel A. Cuevas; Rodrigo De la Iglesia; Przemyslaw Decewicz; Michael P. Doane; Nathaniel J. Dominy; Lukasz Dziewit; Bashir Mukhtar Elwasila; A. Murat Eren; Charles M. A. P. Franz; Jingyuan Fu; Cristina García-Aljaro; Elodie Ghedin; Kristen M. Gulino; John M. Haggerty; Steven R. Head; Rene S. Hendriksen; Colin Hill; Heikki Hyöty; Elena N. Ilina; Mitchell T. Irwin; Thomas C. Jeffries; Juan Jofre; Randall E. Junge; Scott T. Kelley; Mohammadali Khan Mirzaei; Martin M. Kowalewski; Deepak Kumaresan; Steven R. Leigh; David A. Lipson; Eugenia S. Lisitsyna; Montserrat Llagostera; Julia M. Maritz; Linsey C. Marr; Angela McCann; Shahar Molshanski-Mor; Silvia Monteiro; Benjamin Moreira-Grez; Megan M. Morris; Lawrence Mugisha; Maite Muniesa; Horst Neve; Nam Nguyen; Olivia D. Nigro; Anders S. Nilsson; Taylor O'Connell; Rasha Odeh; Andrew Oliver; Mariana Piuri; Aaron J. Prussin; Udi Qimron; Zhe Xue Quan; Petra Rainetova; Adán Ramírez-Rojas; Raúl R. Raya; Kim Reasor; Gillian A.O. Rice; Alessandro Rossi; Ricardo Santos; John Shimashita; Elyse Stachler; Lars C. Stene; Ronan Strain; Rebecca M. Stumpf; Pedro J. Torres; Alan Twaddle; Mary Ann Ugochi Ibekwe; Nicolás A. Villagra; Stephen Wandro; Bryan A. White; Andrew S. Whiteley; Katrine Whiteson; Cisca Wijmenga; María Mercedes Zambrano; Henrike Zschach; Bas E. Dutilh;pmid: 31285584
pmc: PMC7440971
Microbiomes are vast communities of microorganisms and viruses that populate all natural ecosystems. Viruses have been considered to be the most variable component of microbiomes, as supported by virome surveys and examples of high genomic mosaicism. However, recent evidence suggests that the human gut virome is remarkably stable compared with that of other environments. Here, we investigate the origin, evolution and epidemiology of crAssphage, a widespread human gut virus. Through a global collaboration, we obtained DNA sequences of crAssphage from more than one-third of the world's countries and showed that the phylogeography of crAssphage is locally clustered within countries, cities and individuals. We also found fully colinear crAssphage-like genomes in both Old-World and New-World primates, suggesting that the association of crAssphage with primates may be millions of years old. Finally, by exploiting a large cohort of more than 1,000 individuals, we tested whether crAssphage is associated with bacterial taxonomic groups of the gut microbiome, diverse human health parameters and a wide range of dietary factors. We identified strong correlations with different clades of bacteria that are related to Bacteroidetes and weak associations with several diet categories, but no significant association with health or disease. We conclude that crAssphage is a benign cosmopolitan virus that may have coevolved with the human lineage and is an integral part of the normal human gut virome. ispartof: NATURE MICROBIOLOGY vol:4 issue:10 pages:1727-1736 ispartof: location:England status: published
Nature Microbiology;... arrow_drop_down Nature Microbiology; Nature Reviews MicrobiologyOther literature type . Article . 2019 . Peer-reviewedLicense: Springer Nature TDMRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Full-Text: https://doi.org/10.1038/s41564-019-0494-6Data sources: Recolector de Ciencia Abierta, RECOLECTANARCIS; Utrecht University RepositoryArticle . 2019bioRxivPreprint . 2019Online Research Database In TechnologyArticle . 2019Data sources: Online Research Database In TechnologyRepositorio Institucional de la Universidad de AlicanteArticle . 2019Data sources: Repositorio Institucional de la Universidad de AlicanteMémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-IRDArticle . 2019License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 174 citations 174 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 54visibility views 54 download downloads 9 Powered bymore_vert Nature Microbiology;... arrow_drop_down Nature Microbiology; Nature Reviews MicrobiologyOther literature type . Article . 2019 . Peer-reviewedLicense: Springer Nature TDMRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Full-Text: https://doi.org/10.1038/s41564-019-0494-6Data sources: Recolector de Ciencia Abierta, RECOLECTANARCIS; Utrecht University RepositoryArticle . 2019bioRxivPreprint . 2019Online Research Database In TechnologyArticle . 2019Data sources: Online Research Database In TechnologyRepositorio Institucional de la Universidad de AlicanteArticle . 2019Data sources: Repositorio Institucional de la Universidad de AlicanteMémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-IRDArticle . 2019License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Preprint 2020 France, United KingdomPublisher:Elsevier BV Funded by:EPA, FCT | Center for Environmental ..., EC | ERA4CS +1 projectsEPA ,FCT| Center for Environmental and Sustainability Research ,EC| ERA4CS ,UKRI| Integrated Development of Low-Carbon Energy Systems (IDLES): A Whole-System Paradigm for Creating a National StrategyYves-Marie Saint-Drenan; Romain Besseau; Malte Jansen; Iain Staffell; Alberto Troccoli; Laurent Dubus; Johannes Schmidt; Katharina Gruber; Sofia Simoes; Siegfried Heier;A wind turbine's power curve relates its power production to the wind speed it experiences. The typical shape of a power curve is well known and has been studied extensively; however, the power curves of individual turbine models can vary widely from one another. This is due to both the technical features of the turbine (power density, cut-in and cut-out speeds, limits on rotational speed and aerodynamic efficiency), and environmental factors (turbulence intensity, air density, wind shear and wind veer). Data on individual power curves are often proprietary and only available through commercial databases. We therefore develop an open-source model which can generate the power curve of any turbine, adapted to the specific conditions of any site. This can employ one of six parametric models advanced in the literature, and accounts for the eleven variables mentioned above. The model is described, the impact of each technical and environmental feature is examined, and it is then validated against the manufacturer power curves of 91 turbine models. Versions of the model are made available in MATLAB, R and Python code for the community. Comment: preprint submitted to Renewable Energy
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2020 . Peer-reviewedData sources: University of East Anglia digital repositoryMémoires en Sciences de l'Information et de la CommunicationArticle . 2020License: CC BY NCFull-Text: https://hal.science/hal-03113055/documenthttps://doi.org/10.48550/arxiv...Article . 2019License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 69 citations 69 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 6visibility views 6 download downloads 180 Powered bymore_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2020 . Peer-reviewedData sources: University of East Anglia digital repositoryMémoires en Sciences de l'Information et de la CommunicationArticle . 2020License: CC BY NCFull-Text: https://hal.science/hal-03113055/documenthttps://doi.org/10.48550/arxiv...Article . 2019License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2019 France, ItalyPublisher:Copernicus GmbH Publicly fundedFunded by:EC | CRESCENDO, EC | ERA4CS, EC | ECOPOTENTIALEC| CRESCENDO ,EC| ERA4CS ,EC| ECOPOTENTIALTerzago S.[1]; Andreoli V.[2]; Arduini G.[3]; Balsamo G.[3]; Campo L.[4]; Cassardo C.[2]; Cremonese E.[5]; Dolia D.[4]; Gabellani S.[4]; Von Hardenberg J.[1; 6]; Morra Di Cella U.[5]; Palazzi E.[1]; Piazzi G.[4; 7]; Pogliotti P.[5]; Provenzale A.[8];handle: 11583/2959562 , 2318/1847793
Snow models are usually evaluated at sites providing high-quality meteorological data, so that the uncertainty in the meteorological input data can be neglected when assessing model performances. However, high-quality input data are rarely available in mountain areas and, in practical applications, the meteorological forcing used to drive snow models is typically derived from spatial interpolation of the available in situ data or from reanalyses, whose accuracy can be considerably lower. In order to fully characterize the performances of a snow model, the model sensitivity to errors in the input data should be quantified. In this study we test the ability of six snow models to reproduce snow water equivalent, snow density and snow depth when they are forced by meteorological input data with gradually lower accuracy. The SNOWPACK, GEOTOP, HTESSEL, UTOPIA, SMASH and S3M snow models are forced, first, with high-quality measurements performed at the experimental site of Torgnon, located at 2160 m a.s.l. in the Italian Alps (control run). Then, the models are forced by data at gradually lower temporal and/or spatial resolution, obtained by (i) sampling the original Torgnon 30 min time series at 3, 6, and 12 h, (ii) spatially interpolating neighbouring in situ station measurements and (iii) extracting information from GLDAS, ERA5 and ERA-Interim reanalyses at the grid point closest to the Torgnon site. Since the selected models are characterized by different degrees of complexity, from highly sophisticated multi-layer snow models to simple, empirical, single-layer snow schemes, we also discuss the results of these experiments in relation to the model complexity. The results show that, when forced by accurate 30 min resolution weather station data, the single-layer, intermediate-complexity snow models HTESSEL and UTOPIA provide similar skills to the more sophisticated multi-layer model SNOWPACK, and these three models show better agreement with observations and more robust performances over different seasons compared to the lower-complexity models SMASH and S3M. All models forced by 3-hourly data provide similar skills to the control run, while the use of 6- and 12-hourly temporal resolution forcings may lead to a reduction in model performances if the incoming shortwave radiation is not properly represented. The SMASH model generally shows low sensitivity to the temporal degradation of the input data. Spatially interpolated data from neighbouring stations and reanalyses are found to be adequate forcings, provided that temperature and precipitation variables are not affected by large biases over the considered period. However, a simple bias-adjustment technique applied to ERA-Interim temperatures allowed all models to achieve similar performances to the control run. Regardless of their complexity, all models show weaknesses in the representation of the snow density.
Archivio Istituziona... arrow_drop_down Hydrology and Earth System Sciences (HESS)Other literature type . Article . 2020 . Peer-reviewedLicense: CC BYHydrology and Earth System Sciences (HESS)Other literature type . 2020Data sources: Copernicus PublicationsHydrology and Earth System Sciences; Hydrology and Earth System Sciences (HESS)Article . Preprint . 2020License: CC BYHydrology and Earth System Sciences (HESS)Other literature type . 2019Data sources: Copernicus PublicationsMémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2020License: CC BYFull-Text: https://hal.inrae.fr/hal-03330086/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 26 citations 26 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Archivio Istituziona... arrow_drop_down Hydrology and Earth System Sciences (HESS)Other literature type . Article . 2020 . Peer-reviewedLicense: CC BYHydrology and Earth System Sciences (HESS)Other literature type . 2020Data sources: Copernicus PublicationsHydrology and Earth System Sciences; Hydrology and Earth System Sciences (HESS)Article . Preprint . 2020License: CC BYHydrology and Earth System Sciences (HESS)Other literature type . 2019Data sources: Copernicus PublicationsMémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2020License: CC BYFull-Text: https://hal.inrae.fr/hal-03330086/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019 France, Netherlands, Poland, Netherlands, United Kingdom, Netherlands, Netherlands, Brazil, Netherlands, Argentina, Spain, Spain, Croatia, ItalyPublisher:Cold Spring Harbor Laboratory Publicly fundedFunded by:EC | BIOBIO, EC | SPECIALS, NSERC +11 projectsEC| BIOBIO ,EC| SPECIALS ,NSERC ,EC| ECOWORM ,FCT| LA 1 ,AKA| Macrodetritivore range shifts and implications for aboveground-belowground interactions ,NSF| IGERT: Ecology, Management and Restoration of Integrated Human/Natural Landscapes ,NWO| EV Diagnostics for monitoring therapy byliquid tuneable Coulter flowcytometry (project 3.2) ,EC| Gradual_Change ,NSF| Predicting Regional Invasion Dynamic Processes (PRIDE)-Developing a Cross-scale, Functional-trait Based Modeling Framework ,EC| FUNDIVEUROPE ,FWF| Litter decomposition and humus formation in highalpine soils ,FWF| The macrofauna decomposer food web on alpine pastureland ,EC| AGFORWARDAuthors: Helen Phillips; Carlos A. Guerra; Marie Luise Carolina Bartz; Maria J. I. Briones; +137 AuthorsHelen Phillips; Carlos A. Guerra; Marie Luise Carolina Bartz; Maria J. I. Briones; George G. Brown; Thomas W. Crowther; Olga Ferlian; Konstantin B. Gongalsky; Johan van den Hoogen; Julia Krebs; Alberto Orgiazzi; Devin Routh; Benjamin Schwarz; Elizabeth M. Bach; Joanne M. Bennett; Ulrich Brose; Thibaud Decaëns; Birgitta König-Ries; Michel Loreau; Jérôme Mathieu; Christian Mulder; Wim H. van der Putten; Kelly S. Ramirez; Matthias C. Rillig; David J. Russell; Michiel Rutgers; Madhav P. Thakur; Franciska T. de Vries; Diana H. Wall; David A. Wardle; Miwa Arai; Fredrick O. Ayuke; Geoff H. Baker; Robin Beauséjour; José Camilo Bedano; Klaus Birkhofer; Eric Blanchart; Bernd Blossey; Thomas Bolger; Robert L. Bradley; Mac A. Callaham; Yvan Capowiez; Mark E. Caulfield; Amy Choi; Felicity Crotty; Andrea Dávalos; Darío J. Díaz Cosín; Anahí Domínguez; Andrés Esteban Duhour; Nick van Eekeren; Christoph Emmerling; Liliana B. Falco; Rosa Fernández; Steven J. Fonte; Carlos Fragoso; André L.C. Franco; Martine Fugère; Abegail T Fusilero; Shaieste Gholami; Michael J. Gundale; Mónica Gutiérrez López; Davorka K. Hackenberger; Luis M. Hernández; Takuo Hishi; Andrew R. Holdsworth; Martin Holmstrup; Kristine N. Hopfensperger; Esperanza Huerta Lwanga; Veikko Huhta; Tunsisa T. Hurisso; Basil V. Iannone; Madalina Iordache; Monika Joschko; Nobuhiro Kaneko; Radoslava Kanianska; Aidan M. Keith; Courtland Kelly; Maria Kernecker; Jonatan Klaminder; Armand W. Koné; Yahya Kooch; Sanna T. Kukkonen; H. Lalthanzara; Daniel R. Lammel; Iurii M. Lebedev; Yiqing Li; Juan B. Jesús Lidón; Noa Kekuewa Lincoln; Scott R. Loss; Raphaël Marichal; Radim Matula; Jan Hendrik Moos; Gerardo Moreno; Alejandro Morón-Ríos; Bart Muys; Johan Neirynck; Lindsey Norgrove; Marta Novo; Visa Nuutinen; Victoria Nuzzo; Mujeeb Rahman P; Johan Pansu; Shishir Paudel; Guénola Pérès; Lorenzo Pérez-Camacho; Raúl Piñeiro; Jean-François Ponge; Muhammad Rashid; Salvador Rebollo; Javier Rodeiro-Iglesias; Miguel Á. Rodríguez; Alexander M. Roth; Guillaume Xavier Rousseau; Anna Rożen; Ehsan Sayad; Loes van Schaik; Bryant C. Scharenbroch; Michael Schirrmann; Olaf Schmidt; Boris Schröder; Julia Seeber; Maxim Shashkov; Jaswinder Singh; Sandy M. Smith; Michael Steinwandter; José Antonio Talavera; Dolores Trigo; Jiro Tsukamoto; Anne W. de Valença; Steven J. Vanek; Iñigo Virto; Adrian A. Wackett; Matthew W. Warren; Nathaniel H. Wehr; Joann K. Whalen; Michael B. Wironen; Volkmar Wolters; Irina V. Zenkova; Weixin Zhang; Erin K. Cameron; Nico Eisenhauer;677232 to N.E.). K.S.R. and W.H.v.d.P. were supported by ERC-ADV grant 323020 to W.H.v.d.P. Also supported by iDiv (DFG FZT118) Flexpool proposal 34600850 (C.A.G. and N.E.); the Academy of Finland (285882) and the Natural Sciences and Engineering Research Council of Canada (postdoctoral fellowship and RGPIN-2019-05758) (E.K.C.); DOB Ecology (T.W.C., J.v.d.H., and D.R.); ERC-AdG 694368 (M.R.); and the TULIP Laboratory of Excellence (ANR-10-LABX-41) (M.L.). In addition, data collection was funded by the Russian Foundation for Basic Research (12-04-01538-a, 12-04-01734-a, 14-44-03666-r_center_a, 15-29-02724-ofi_m, 16-04-01878-a 19-05-00245); Tarbiat Modares University; Aurora Organic Dairy; UGC(NERO) (F. 1-6/Acctt./NERO/2007-08/1485); Natural Sciences and Engineering Research Council (RGPIN-2017-05391); Slovak Research and Development Agency (APVV-0098-12); Science for Global Development through Wageningen University; Norman Borlaug LEAP Programme and International Atomic Energy Agency (IAEA); São Paulo Research Foundation - FAPESP (12/22510-8); Oklahoma Agricultural Experiment Station; INIA - Spanish Agency (SUM 2006-00012-00-0); Royal Canadian Geographical Society; Environmental Protection Agency (Ireland) (2005-S-LS-8); University of Hawai‘i at Mānoa (HAW01127H; HAW01123M); European Union FP7 (FunDivEurope, 265171); U.S. Department of the Navy, Commander Pacific Fleet (W9126G-13-2-0047); Science and Engineering Research Board (SB/SO/AS-030/2013) Department of Science and Technology, New Delhi, India; Strategic Environmental Research and Development Program (SERDP) of the U.S. Department of Defense (RC-1542); Maranhão State Research Foundation (FAPEMA); Coordination for the Improvement of Higher Education Personnel (CAPES); Ministry of Education, Youth and Sports of the Czech Republic (LTT17033); Colorado Wheat Research Foundation; Zone Atelier Alpes, French National Research Agency (ANR-11-BSV7-020-01, ANR-09-STRA-02-01, ANR 06 BIODIV 009-01); Austrian Science Fund (P16027, T441); Landwirtschaftliche Rentenbank Frankfurt am Main; Welsh Government and the European Agricultural Fund for Rural Development (Project Ref. A AAB 62 03 qA731606); SÉPAQ; Ministry of Agriculture and Forestry of Finland; Science Foundation Ireland (EEB0061); University of Toronto (Faculty of Forestry); National Science and Engineering Research Council of Canada; Haliburton Forest and Wildlife Reserve; NKU College of Arts and Sciences Grant; Österreichische Forschungsförderungsgesellschaft (837393 and 837426); Mountain Agriculture Research Unit of the University of Innsbruck; Higher Education Commission of Pakistan; Kerala Forest Research Institute, Peechi, Kerala; UNEP/GEF/TSBF-CIAT Project on Conservation and Sustainable Management of Belowground Biodiversity; Ministry of Agriculture and Forestry of Finland; Complutense University of Madrid/European Union FP7 project BioBio (FPU UCM 613520); GRDC; AWI; LWRRDC; DRDC; CONICET (National Scientific and Technical Research Council) and FONCyT (National Agency of Scientific and Technological Promotion) (PICT, PAE, PIP), Universidad Nacional de Luján y FONCyT [PICT 2293 (2006)], Fonds de recherche sur la nature et les technologies du Québec (131894), Deutsche Forschungsgemeinschaft [SCHR1000/3-1, SCHR1000/6-1, 6-2 (FOR 1598), WO 670/7-1, WO 670/7-2, and SCHA 1719/1-2], CONACYT (FONDOS MIXTOS TABASCO/PROYECTO11316); NSF (DGE-0549245, DGE-0549245, DEB-BE-0909452, NSF1241932); Institute for Environmental Science and Policy at the University of Illinois at Chicago; Dean’s Scholar Program at UIC; Garden Club of America Zone VI Fellowship in Urban Forestry from the Casey Tree Endowment Fund; J. E. Weaver Competitive Grant from the Nebraska Chapter of The Nature Conservancy; the College of Liberal Arts and Sciences at DePaul University; Elmore Hadley Award for Research in Ecology and Evolution from the UIC Dept. of Biological Sciences; Spanish CICYT (AMB96-1161; REN2000-0783/GLO; REN2003-05553/GLO; REN2003-03989/GLO; CGL2007-60661/BOS); Yokohama National University; MEXT KAKENHI (25220104); Japan Society for the Promotion of Science KAKENHI (25281053, 17KT0074, 25252026); ADEME (0775C0035); Ministry of Science, Innovation and Universities of Spain (CGL2017-86926-P); Syngenta Philippines; UPSTREAM; LTSER (Val Mazia/Matschertal); Marie Sklodowska Curie Postdoctoral Fellowship (747607); National Science and Technology Base Resource Survey Project of China (2018FY100306); McKnight Foundation (14-168); Program of Fundamental Researches of Presidium of Russian Academy of Sciences (AAAA-A18-118021490070-5); Brazilian National Council of Research CNPq; and French Ministry of Foreign and European Affairs. Author contributions: H.R.P.P. led the analysis, data curation, and writing of the original manuscript draft. C.A.G. assisted in analyses and writing of the original manuscript draft. E.K.C. and N.E. revised subsequent manuscript drafts. J.v.d.H., D.R., and T.W.C. provided additional analyses. E.K.C., N.E., and M.P.T. acquired funding for the project. J.K., K.B.G., B.S., M.L.C.B., M.J.I.B., and G.B. contributed to data curation. H.R.P.P., C.A.G., M.L.C.B., M.J.I.B., G.B., O.F., A.O., E.M.B., J.B., U.B., T.D., F.T.d.V., B.K.-R., M.L., J.M., C.M., W.H.v.d.P., K.S.R., M.C.R., D.R., M.R., M.P.T., D.H.W., D.A.W., E.K.C., and N.E. contributed to the project conceptualization. All authors reviewed and edited the final draft manuscript. The majority of the authors provided data for the analyses. Competing interests: The authors declare no competing interests. Data and materials availability: Data and analysis code are available on the iDiv Data repository (DOI: 10.25829/idiv.1804-5-2593) and GitHub (https://github.com/helenphillips/GlobalEWDiversity; DOI: 10.5281/zenodo.3386456). Soil organisms, including earthworms, are a key component of terrestrial ecosystems. However, little is known about their diversity, their distribution, and the threats affecting them. We compiled a global dataset of sampled earthworm communities from 6928 sites in 57 countries as a basis for predicting patterns in earthworm diversity, abundance, and biomass. We found that local species richness and abundance typically peaked at higher latitudes, displaying patterns opposite to those observed in aboveground organisms. However, high species dissimilarity across tropical locations may cause diversity across the entirety of the tropics to be higher than elsewhere. Climate variables were found to be more important in shaping earthworm communities than soil properties or habitat cover. These findings suggest that climate change may have serious implications for earthworm communities and for the functions they provide.
HAL Descartes; HAL -... arrow_drop_down HAL Descartes; HAL - UPEC / UPEM; Mémoires en Sciences de l'Information et de la Communication; HAL-IRD; Science; Hal-DiderotArticle . Preprint . 2019License: CC BYFull-Text: https://hal.inrae.fr/hal-02788558/documentResearch@WUR; NERC Open Research Archive; Croatian Scientific Bibliography - CROSBI; ScienceOther literature type . Article . 2019 . Peer-reviewedRecolector de Ciencia Abierta, RECOLECTA; ScienceArticle . 2020 . 2019CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y TécnicasArticle . 2019License: CC BY NC SAIRIS - Università degli Studi di CataniaArticle . 2019Data sources: IRIS - Università degli Studi di CataniaNARCIS; ScienceArticle . 2019IRIS - Università degli Studi di CataniaArticle . 2019Data sources: IRIS - Università degli Studi di CataniaHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2019add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 234 citations 234 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 53visibility views 53 download downloads 424 Powered bymore_vert HAL Descartes; HAL -... arrow_drop_down HAL Descartes; HAL - UPEC / UPEM; Mémoires en Sciences de l'Information et de la Communication; HAL-IRD; Science; Hal-DiderotArticle . Preprint . 2019License: CC BYFull-Text: https://hal.inrae.fr/hal-02788558/documentResearch@WUR; NERC Open Research Archive; Croatian Scientific Bibliography - CROSBI; ScienceOther literature type . Article . 2019 . Peer-reviewedRecolector de Ciencia Abierta, RECOLECTA; ScienceArticle . 2020 . 2019CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y TécnicasArticle . 2019License: CC BY NC SAIRIS - Università degli Studi di CataniaArticle . 2019Data sources: IRIS - Università degli Studi di CataniaNARCIS; ScienceArticle . 2019IRIS - Università degli Studi di CataniaArticle . 2019Data sources: IRIS - Università degli Studi di CataniaHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2019add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2019 France, Netherlands, Spain, Spain, Denmark, France, Italy, Belgium, FrancePublisher:Cold Spring Harbor Laboratory Publicly fundedFunded by:EC | COEVOLUTION, ARC | Linkage Projects - Grant ..., NSF | Microbes, Diet, and Homin... +12 projectsEC| COEVOLUTION ,ARC| Linkage Projects - Grant ID: LP160100408 ,NSF| Microbes, Diet, and Hominin Evolution: Comparative and Metagenomic Approaches ,ARC| Discovery Early Career Researcher Award - Grant ID: DE170100525 ,NSF| STEMM: Sequence Technology Education Using Microbial Metagenomes ,EC| CD-LINK ,NWO| Understanding the causal relationships between the host genome, microbiota and lipids ,NWO| Illuminating "dark matter": unknown bacteriophages and their role in our intestinal ecosystem ,UKRI| SemenRate Canada/UK: Transforming Germplasm and Genetic Quality to Drive Livestock Productivity ,EC| COMPARE ,NWO| Memorizing, finding and destroying the enemy: mechanism of an adaptive immune system in prokaryotes ,ANR| HeartVir ,EC| BabyVir ,NIH| High-throughput studies of reassortment and coinfection of influenza viruses ,NSERCRobert Edwards; Alejandro A. Vega; Holly M. Norman; Maria Ohaeri; Kyle Levi; Elizabeth A. Dinsdale; Ondrej Cinek; Ramy K. Aziz; Katelyn McNair; Jeremy J. Barr; Kyle Bibby; Stan J. J. Brouns; Adrian Cazares; Patrick A. de Jonge; Christelle Desnues; Samuel L. Díaz Muñoz; Peter C. Fineran; Alexander Kurilshikov; Rob Lavigne; Karla Mazankova; David Thomas McCarthy; Franklin L. Nobrega; Alejandro Reyes Muñoz; German Tapia; Nicole Trefault; Alexander V. Tyakht; Pablo Vinuesa; Jeroen Wagemans; Alexandra Zhernakova; Frank Møller Aarestrup; Gunduz Ahmadov; Abeer Alassaf; Josefa Antón; Abigail E. Asangba; Emma Billings; Vito Adrian Cantu; Jane M. Carlton; Daniel Cazares; Gyu Sung Cho; Tess Condeff; Pilar Cortés; Mike Cranfield; Daniel A. Cuevas; Rodrigo De la Iglesia; Przemyslaw Decewicz; Michael P. Doane; Nathaniel J. Dominy; Lukasz Dziewit; Bashir Mukhtar Elwasila; A. Murat Eren; Charles M. A. P. Franz; Jingyuan Fu; Cristina García-Aljaro; Elodie Ghedin; Kristen M. Gulino; John M. Haggerty; Steven R. Head; Rene S. Hendriksen; Colin Hill; Heikki Hyöty; Elena N. Ilina; Mitchell T. Irwin; Thomas C. Jeffries; Juan Jofre; Randall E. Junge; Scott T. Kelley; Mohammadali Khan Mirzaei; Martin M. Kowalewski; Deepak Kumaresan; Steven R. Leigh; David A. Lipson; Eugenia S. Lisitsyna; Montserrat Llagostera; Julia M. Maritz; Linsey C. Marr; Angela McCann; Shahar Molshanski-Mor; Silvia Monteiro; Benjamin Moreira-Grez; Megan M. Morris; Lawrence Mugisha; Maite Muniesa; Horst Neve; Nam Nguyen; Olivia D. Nigro; Anders S. Nilsson; Taylor O'Connell; Rasha Odeh; Andrew Oliver; Mariana Piuri; Aaron J. Prussin; Udi Qimron; Zhe Xue Quan; Petra Rainetova; Adán Ramírez-Rojas; Raúl R. Raya; Kim Reasor; Gillian A.O. Rice; Alessandro Rossi; Ricardo Santos; John Shimashita; Elyse Stachler; Lars C. Stene; Ronan Strain; Rebecca M. Stumpf; Pedro J. Torres; Alan Twaddle; Mary Ann Ugochi Ibekwe; Nicolás A. Villagra; Stephen Wandro; Bryan A. White; Andrew S. Whiteley; Katrine Whiteson; Cisca Wijmenga; María Mercedes Zambrano; Henrike Zschach; Bas E. Dutilh;pmid: 31285584
pmc: PMC7440971
Microbiomes are vast communities of microorganisms and viruses that populate all natural ecosystems. Viruses have been considered to be the most variable component of microbiomes, as supported by virome surveys and examples of high genomic mosaicism. However, recent evidence suggests that the human gut virome is remarkably stable compared with that of other environments. Here, we investigate the origin, evolution and epidemiology of crAssphage, a widespread human gut virus. Through a global collaboration, we obtained DNA sequences of crAssphage from more than one-third of the world's countries and showed that the phylogeography of crAssphage is locally clustered within countries, cities and individuals. We also found fully colinear crAssphage-like genomes in both Old-World and New-World primates, suggesting that the association of crAssphage with primates may be millions of years old. Finally, by exploiting a large cohort of more than 1,000 individuals, we tested whether crAssphage is associated with bacterial taxonomic groups of the gut microbiome, diverse human health parameters and a wide range of dietary factors. We identified strong correlations with different clades of bacteria that are related to Bacteroidetes and weak associations with several diet categories, but no significant association with health or disease. We conclude that crAssphage is a benign cosmopolitan virus that may have coevolved with the human lineage and is an integral part of the normal human gut virome. ispartof: NATURE MICROBIOLOGY vol:4 issue:10 pages:1727-1736 ispartof: location:England status: published
Nature Microbiology;... arrow_drop_down Nature Microbiology; Nature Reviews MicrobiologyOther literature type . Article . 2019 . Peer-reviewedLicense: Springer Nature TDMRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Full-Text: https://doi.org/10.1038/s41564-019-0494-6Data sources: Recolector de Ciencia Abierta, RECOLECTANARCIS; Utrecht University RepositoryArticle . 2019bioRxivPreprint . 2019Online Research Database In TechnologyArticle . 2019Data sources: Online Research Database In TechnologyRepositorio Institucional de la Universidad de AlicanteArticle . 2019Data sources: Repositorio Institucional de la Universidad de AlicanteMémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-IRDArticle . 2019License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 174 citations 174 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 54visibility views 54 download downloads 9 Powered bymore_vert Nature Microbiology;... arrow_drop_down Nature Microbiology; Nature Reviews MicrobiologyOther literature type . Article . 2019 . Peer-reviewedLicense: Springer Nature TDMRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Full-Text: https://doi.org/10.1038/s41564-019-0494-6Data sources: Recolector de Ciencia Abierta, RECOLECTANARCIS; Utrecht University RepositoryArticle . 2019bioRxivPreprint . 2019Online Research Database In TechnologyArticle . 2019Data sources: Online Research Database In TechnologyRepositorio Institucional de la Universidad de AlicanteArticle . 2019Data sources: Repositorio Institucional de la Universidad de AlicanteMémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-IRDArticle . 2019License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/527796&type=result"></script>'); --> </script>
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