Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2021
Forfattere
Paul Eric AspholmSammendrag
Det er ikke registrert sammendrag
Forfattere
Chloé GrieuSammendrag
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Forfattere
Oskar PuschmannSammendrag
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Forfattere
Oskar PuschmannSammendrag
Det er ikke registrert sammendrag
Forfattere
Jens H. Kuhn Scott Adkins Bernard R. Agwanda Rim Al Kubrusli Sergey V. Alkhovsky Gaya K. Amarasinghe Tatjana Avšič-Županc María A. Ayllón Justin Bahl Anne Balkema-Buschmann Matthew J. Ballinger Christopher F. Basler Sina Bavari Martin Beer Nicolas Bejerman Andrew J. Bennett Dennis A. Bente Éric Bergeron Brian H. Bird Carol D. Blair Kim R. Blasdell Dag-Ragnar Blystad Jamie Bojko Wayne B. Borth Steven Bradfute Rachel Breyta Thomas Briese Paul A. Brown Judith K. Brown Ursula J. Buchholz Michael J. Buchmeier Alexander Bukreyev Felicity Burt Carmen Büttner Charles H. Calisher Mengji Cao Inmaculada Casas Kartik Chandran Rémi N. Charrel Qi Cheng Yuya Chiaki Marco Chiapello Il-Ryong Choi Marina Ciuffo J. Christopher S. Clegg Ian Crozier Elena Dal Bó Juan Carlos de la Torre Xavier de Lamballerie Rik L. de Swart Humberto Debat Nolwenn M. Dheilly Emiliano Di Cicco Nicholas Di Paola Francesco Di Serio Ralf G. Dietzgen Michele Digiaro Olga Dolnik Michael A. Drebot J. Felix Drexler William G. Dundon W. paul Duprex Ralf Dürrwald John M. Dye Andrew J. Easton Hideki Ebihara Toufic Elbeaino Koray Ergünay Hugh W. Ferguson Anthony R. Fooks Marco Forgia Pierre B.H. Formenty Jana Fránová Juliana Freitas-Astúa Jingjing Fu Stephanie Fürl Selma Gago-Zachert George Fú Gāo María Laura García Adolfo García-Sastre Aura R. Garrison Thomas Gaskin Jean-Paul J. Gonzalez Anthony Griffiths Tony L. Goldberg Martin H. Groschup Stephan Günther Roy A. Hall John Hammond Tong Han Jussi Hepojoki Roger Hewson Jiang Hong Ni Hong Seiji Hongo Masayuki Horie John S. Hu Tao Hu Holly R. Hughes Florian Hüttner Timothy H. Hyndman M. Ilyas Risto Jalkanen Dàohóng Jiāng Gilda B. Jonson Sandra Junglen Fujio Kadono Karia H. Kaukinen Michael Kawate Boris Klempa Jonas Klingström Gary Kobinger Igor Koloniuk Hideki Kondo Eugene V. Koonin Mart Krupovic Kenji Kubota Gael Kurath Lies Laenen Amy J. Lambert Stanley L. Langevin Benhur Lee Elliot J. Lefkowitz Eric M. Leroy Shaorong Li Longhui Li Jianrong Li Huazhen Liu Igor S. Lukashevich Piet Maes William Marciel de Souza Marco Marklewitz Sergio H. Marshall Shin-Yi L. Marzano Sebastien Massart John W. McCauley Michael Melzer Nicole Mielke-Ehret Kristina M. Miller Tobi J. Ming Ali Mirazimi Gideon J. Mordecai Hans-Peter Mühlbach Elke Mühlberger Rayapati Naidu Tomohide Natsuaki José A. Navarro Sergey V. Netesov Gabriele Neumann Norbert Nowotny Márcio R. T. Nunes Alejandro Olmedo-Velarde Gustavo Palacios Vicente Pallás Bernadett Pályi Anna Papa Sofia Paraskevopoulou Adam C. Park Colin R. Parrish David A. Patterson Alex Pauvolid-Corrêa Janusz T. Pawęska Susan Payne Carlotta Peracchio Daniel R. Pérez Thomas S. Postler Liying Qi Sheli R. Radoshitzky Renato O. Resende Carina A. Reyes Bertus K. Rima Gabriel Robles Luna Víctor Romanowski Paul Rota Dennis Rubbenstroth Luisa Rubino Jonathan Runstadler Sead Sabanadzovic Amadou Alpha Sall Maria S. Salvato Rosemary Sang Takahide Sasaya Angela D. Schulze Martin Schwemmle Mang Shi Xiǎohóng Shí Zhènglì Shí Yoshifumi Shimomoto Yukio Shirako Stuart G. Siddell Peter Simmonds Manuela Sironi Guy Smagghe Sophie J. Smither Jin-Won Song Kirsten Spann Jessica R. Spengler Mark D. Stenglein David M. Stone Jari Sugano Curtis A. Suttle Amy Tabata Ayato Takada Shigeharu Takeuchi David P. Tchouassi Amy Teffer Robert B. Tesh Natalie J. Thornburg Yasuhiro Tomitaka Keizō Tomonaga Noël Tordo Baldwyn Torto Jonathan S. Towner Shinya Tsuda Changchun Tu Massimo Turina Ioannis E. Tzanetakis Janice Uchida Tomio Usugi Anna Maria Vaira Marta Vallino Bernadette van den Hoogen Arvind Varsani Nikos Vasilakis Martin Verbeek Susanne von Bargen Jiro Wada Victoria Wahl Peter J. Walker Lin-Fa Wang Guoping Wang Yanxiang Wang Yaqin Wang Muhammad Waqas Tàiyún Wèi Shaohua Wen Anna E. Whitfield John V. Williams Yuri I. Wolf Jiangxiang Wu Lei Xu Hironobu Yanagisawa Caixia Yang Zuokun Yang F. Murilo Zerbini Lifeng Zhai Yong-Zhen Zhang Song Zhang Jinguo Zhang Zhe Zhang Xueping ZhouSammendrag
In March 2021, following the annual International Committee on Taxonomy of Viruses (ICTV) ratification vote on newly proposed taxa, the phylum Negarnaviricota was amended and emended. The phylum was expanded by four families (Aliusviridae, Crepuscuviridae, Myriaviridae, and Natareviridae), three subfamilies (Alpharhabdovirinae, Betarhabdovirinae, and Gammarhabdovirinae), 42 genera, and 200 species. Thirty-nine species were renamed and/or moved and seven species were abolished. This article presents the updated taxonomy of Negarnaviricota as now accepted by the ICTV.
Forfattere
Ingunn ØvsthusSammendrag
Det er ikke registrert sammendrag
Sammendrag
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Forfattere
Cerena J. Brewen John-Pascal Berrill Martin W. Ritchie Kevin Boston Christa M. Dagley Bobette Jones Michelle Coppoletta Coye L. BurnettSammendrag
Quaking aspen (Populus tremuloides) is a valued, minor component on northeastern California landscapes. It provides a wide range of ecosystem services and has been in decline throughout the region for the last century. This decline may be explained partially by the lack of fire on the landscape due to heavier fire suppression, as aspen benefit from fire that eliminates conifer competition and stimulates reproduction through root suckering. However, there is little known about how aspen stand area changes in response to overlapping fire. Our study area in northeastern California on the Lassen, Modoc and Plumas National Forests has experienced recent large mixed-severity wildfires where aspen was present, providing an opportunity to study the re-introduction of fire. We observed two time periods; a 52-year absence of fire from 1941 to 1993 preceding a 24-year period of wildfire activity from 1993 to 2017. We utilized aerial photos and satellite imagery to delineate aspen stands and assess conifer cover percent. We chose aspen stands in areas where wildfires overlapped (twice-burned), where only a single wildfire burned, and areas that did not burn within the recent 24-year period. We observed these same stands within the first period of fire exclusion for comparison (i.e., 1941–1993). In the absence of fire, all aspen stand areas declined and all stands experienced increases in conifer composition. After wildfire, stands that burned experienced a release from conifer competition and increased in stand area. Stands that burned twice or at high severity experienced a larger removal of conifer competition than stands that burned once at low severity, promoting expansion of aspen stand area. Stands with less edge:area ratio also expanded in area more with fire present. Across both time periods, stand movement, where aspen stand footprints were mostly in new areas compared to footprints of previous years, was highest in smaller stands. In the fire exclusion period, smaller stands exhibited greater loss of area and changes in location (movement) than in the return of fire period, highlighting their vulnerability to loss via succession to conifers in the absence of disturbances that provide adequate growing space for aspen over time.
Forfattere
Eva Narten HøbergSammendrag
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Forfattere
Puchun Niu Angela Dagmar Schwarm Helge Bonesmo Alemayehu Kidane Bente Aspeholen Åby Tonje Marie Storlien Michael Kreuzer Maria Clementina Alvarez Flores Jon Kristian Sommerseth Egil PrestløkkenSammendrag
Simple Summary: Many techniques exist to quantify enteric methane (CH4) emissions from dairy cows. Since measurement on the entire national cow populations is not possible, it is necessary to use estimates for national inventory reporting. This study aimed to develop (1) a basic equation of enteric CH4 emissions from individual animals based on feed intake and nutrient contents of the diet, and (2) to update the operational way of calculation used in the Norwegian National Inventory Report based on milk yield and concentrate share of the diet. An international database containing recently published data was used for this updating process. By this the accuracy of the CH4 production estimates included in the national inventory was improved. Abstract: The aim of this study was to develop a basic model to predict enteric methane emission from dairy cows and to update operational calculations for the national inventory in Norway. Development of basic models utilized information that is available only from feeding experiments. Basic models were developed using a database with 63 treatment means from 19 studies and were evaluated against an external database (n = 36, from 10 studies) along with other extant models. In total, the basic model database included 99 treatment means from 29 studies with records for enteric CH4 production (MJ/day), dry matter intake (DMI) and dietary nutrient composition. When evaluated by low root mean square prediction errors and high concordance correlation coefficients, the developed basic models that included DMI, dietary concentrations of fatty acids and neutral detergent fiber performed slightly better in predicting CH4 emissions than extant models. In order to propose country-specific values for the CH4 conversion factor Ym (% of gross energy intake partitioned into CH4 ) and thus to be able to carry out the national inventory for Norway, the existing operational model was updated for the prediction of Ym over a wide range of feeding situations. A simulated operational database containing CH4 production (predicted by the basic model), feed intake and composition, Ym and gross energy intake (GEI), in addition to the predictor variables energy corrected milk yield and dietary concentrate share were used to develop an operational model. Input values of Ym were updated based on the results from the basic models. The predicted Ym ranged from 6.22 to 6.72%. In conclusion, the prediction accuracy of CH4 production from dairy cows was improved with the help of newly published data, which enabled an update of the operational model for calculating the national inventory of CH4 in Norway.