Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2024
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Authors
Ruben Erik Roos Johan Asplund Tone Birkemoe Aud Helen Halbritter Siri Lie Olsen Linn Vassvik Kristel Zuijlen Kari KlanderudAbstract
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Jiunn Luh Tan Nina Trandem Zhibo Hamborg Jana Fránová dag-ragnar blystad Dag-Ragnar Blystad Rostislav ZemekAbstract
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Jian Liu Faruk Djodjic Barbro Ulén Helena Aronsson Marianne Bechmann Lars Bergström Tore Krogstad Katarina KyllmarAbstract
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Peter Maenhout Claudia Di Bene Maria Luz Cayuela Eugenio Diaz-Pines Anton Govednik Frida Keuper Sara Mavsar Rok Mihelic Adam O'Toole Ana Schwarzmann Marjetka Suhadolc Alina Syp Elena ValkamaAbstract
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Authors
Jose Climent Ricardo Alía Katri Karkkainen Catherine Bastien Marta Benito-Garzon Laurent Bouffier Giovanbattista De Dato Sylvain Delzon Arnaud Dowkiw Margarita Elvira-Recuenco Delphine Grivet Santiago C. González-Martínez Haleh Hayatgheibi Sonja Kujala Jean-Charles Leplé Ruth C. Martín-Sanz Marina de Miguel M. Cristina Monteverdi Sven Mutke Christophe Plomion José Alberto Ramírez-Valiente Leopoldo Sanchez Aida Solé-Medina Jean-Paul Soularue Arne Steffenrem Angela Teani Johan Westin Richard Whittet Harry Wu Rafael Zas Stephen CaversAbstract
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João Neiva Jorge Manuel Ferreira de Assis Eliza Fragkopoulou Gareth A. Pearson Peter T. Raimondi Laura Anderson Dorte Krause-Jensen Núria Marbà Andrew Want Olga Selivanova Masahiro Nakaoka W. Stewart Grant Brenda Konar Michael Roleda Mikael K. Sejr Cristina Paulino Ester A. SerrãoAbstract
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Authors
Shelemia Nyamuryekung'eAbstract
On the Ground: -Precision livestock management through sensor technology using the Internet of Things offers enhanced surveillance and monitoring of the ranching operations. -At the ranch scale, the integration of sensor technology, including on-animal sensors, environmental monitoring equipment, and remote sensing can shift livestock operations from a solely reactive, traditional, knowledge-based approach toward a proactive, data-driven, decision-making process. -Leveraging data from sensors at the ranch scale can address logistical challenges and create efficiency in decision-making processes concerning resource management.
Abstract
Recurrent climate-driven disturbances impact on the health of European forests that reacted with increased tree dieback and mortality over the course of the last four decades. There is therefore large interest in predicting and understanding the fate and survival of forests under climate change. Forest conditions are monitored within the pan-European ICP Forests programme (UN-ECE International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests) since the 1980s, with tree crown defoliation being the most widely used parameter. Defoliation is not a cause-specific indicator of tree health and vitality, and there is a need to connect defoliation levels with the physiological functioning of trees. The physiological responses connected to tree crown defoliation are species-specific and concern, among others, water relations, photosynthesis and carbon metabolism, growth, and mineral nutrients of leaves. The indicators to measure physiological variables in forest monitoring programs must be easy to apply in the field with current state-of-the-art technologies, be replicable, inexpensive, time efficient and regulated by ad hoc protocols. The ultimate purpose is to provide data to feed process-based models to predict mortality and threats in forests due to climate change. This study reviews the problems and perspectives connected to the realization of a systematic assessment of physiological variables and proposes a set of indicators suitable for future application in forest monitoring programs.