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.
2026
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Saturated hydraulic conductivity (ks) is a key hydrological property influenced by the size and topology of soil pores, particularly macropores. This study assessed eight (N = 8) published ks models that derive pore size distributions (PSD) from water retention (WR) functions, with either exponential (Brooks-Corey function, BC) or sigmoidal (van Genuchten function, VG) shapes. The models are semi-empirical (N = 3) or based on integration of WR-derived PSD (N = 5). Since measurements of ks are conflated by both natural variability and the method used to determine its values, models were evaluated with hydraulic properties from 378 samples collected using uniform methodology (HYP-UNI), and separately, with data from 1,734 soils measured by multiple institutions using a range of methods (HYPRES). Macroporosity, defined as the fraction of total porosity that is air-filled at −10 kPa (relative air capacity, RAC), was used to detect soil structure signatures on ks predictions. For HYP-UNI, integral-based models, particularly those using the BC function, performed best in soils with RAC ≥ 5%, but tended to underpredict ks when RAC < 5%. Overprediction was less frequent and mainly associated with low total porosity (∼ 40% or lower). Compared to HYP-UNI, model predictions worsened with HYPRES data and semi-empirical models outperformed integral-based approaches. Underprediction in soils with RAC < 5% persisted with HYPRES data but overprediction was not significantly related to porosity. Underprediction in soils with RAC < 5% was pervasive, indicating a limitation in current models that warrants further investigation. Moreover, this study highlights the advantages of using methodologically uniform databases along with high-quality WR-derived PSDs for development/testing of ks models.
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Gjengroing av område som tidlegare vart slått eller nytta som beite er ein av årsakene til at seminaturlege naturtypar er raudlista. Dette er ein stor trugsel for arter som til dømes solblom, dragehode og mogop.
Forfattere
Ingrid TengeSammendrag
Webinar for landbruksforvaltningen i Møre og Romsdal. Informasjon om ulike bruksområder for arealressurskartet AR5, ansvar for ajourhold og hvorfor det er viktig at kartet er oppdatert.
Forfattere
Clemens Mosig Janusch Vajna-Jehle Miguel D. Mahecha Yan Cheng Henrik Hartmann David Montero Samuli Junttila Stéphanie Horion Mirela Beloiu Schwenke Michael J. Koontz Khairul Nizam Abdul Maulud Stephen Adu-Bredu Djamil Al-Halbouni Muhammad Ali Matthew Allen Jan Altman Lot Amorós Claudia Angiolini Rasmus Astrup Hassan Awada Caterina Barrasso Harm Bartholomeus Pieter S.A. Beck Aurora Bozzini Joshua Braun-Wimmer Benjamin Brede Fabio Marcelo Breunig Stefano Brugnaro Allan Buras Vicente Burchard-Levine Jesús Julio Camarero Anna Candotti Luka Capuder Erik Carrieri Mauro Centritto Gherardo Chirici Myriam Cloutier Dhemerson Conciani KC Cushman James W. Dalling Phuong D. Dao Jan Dempewolf Martin Denter Marcel Dogotari Ricardo Díaz-Delgado Simon Ecke Jana Eichel Anette Eltner André Fabbri Maximilian Fabi Fabian Fassnacht Matheus Pinheiro Ferreira Fabian Jörg Fischer Julian Frey Annett Frick Jose Fuentes Selina Ganz Matteo Garbarino Milton García Matthias Gassilloud Antonio Gazol Guillermo Gea-Izquierdo Kilian Gerberding Marziye Ghasemi Francesca Giannetti Jeffrey Gillan Roy Gonzalez Carl Gosper Terry Greene Konrad Greinwald Stuart Grieve André Große-Stoltenberg Jesus Aguirre Gutierrez Anna Göritz Peter Hajek David Hedding Jan Hempel Stien Heremans Melvin Hernández Marco Dietmar Heurich Eija Honkavaara Bernhard Höfle Robert Jackisch Tommaso Jucker Jesse M. Kalwij Sebastian Kepfer-Rojas Pratima Khatri-Chhetri Till Kleinebecker Hans-Joachim Klemmt Tomáš Klouček Niko Koivumäki Nagesh Kolagani Jan Komárek Kirill Korznikov Bartłomiej Kraszewski Stefan Kruse Robert Krüger Helga Kuechly Ivan H.Y. Kwong Etienne Laliberté Liam Langan Hooman Latifi Claudia Leal-Medina Jan R.K. Lehmann Linyuan Li Emily Lines Maciej Lisiewicz Javier Lopatin Arko Lucieer Antonia Ludwig Marvin Ludwig Päivi Lyytikäinen-Saarenmaa Qin Ma Nicolas Mansuy José Manuel Peña Giovanni Marino Michael Maroschek M.Pilar Martín Darío Martín-Benito Pavan Matham Sabrina Mazzoni Fabio Meloni Annette Menzel Hanna Meyer Mojdeh Miraki Gerardo Moreno Daniel Moreno-Fernández Helene C. Muller-Landau Mirko Mälicke Jakobus Möhring Jana Müllerova Setti Sridhara Naidu Davide Nardi Paul Neumeier Mihai Daniel Nita Roope Näsi Lars Oppgenoorth Sagynbek Orunbaev Melanie Palmer Thomas Paul Mattis Pfenning Alastair Potts Gudala Laxmi Prasanna Suzanne Prober Stefano Puliti Antonio J. Pérez-Luque Oscar Pérez-Priego Chris Reudenbach Jesús Revuelto Gonzalo Rivas-Torres Philippe Roberge Pier Paolo Roggero Christian Rossi Nadine Katrin Ruehr Paloma Ruiz-Benito Christian Mestre Runge Gabriele Giuseppe Antonio Satta Bruno Scanu Michael Scherer-Lorenzen Felix Schiefer Christopher Schiller Jacob Schladebach Marie-Therese Schmehl Jonathan Schmid Tristan Alexander Schmidt Selina Schwarz Rupert Seidl Thomas Seifert Ana Seifert Barba Elham Shafeian Aurélie Shapiro Leopoldo de Simone Hormoz Sohrabi Salim Soltani Laura Sotomayor Ben Sparrow Benjamin S.C. Steer Matt Stenson Benjamin Stöckigt Yanjun Su Juha Suomalainen Elisa Tamudo Mauro J. Tognetti Barbieri Enrico Tomelleri Michele Torresani Katerina Trepekli Saif Ullah Sami Ullah Josefine Umlauft Nicolás Vargas-Ramírez Can Vatandaslar Vladimir Visacki Michele Volpi Vicente Vásquez Christine Wallis Ben Weinstein Hannah Weiser Serge Wich Tagle Casapia Ximena Pablo J. Zarco-Tejada Katherine Zdunic Katarzyna Zielewska-Büttner Raquel Alves de Oliveira Liz van Wagtendonk Vincent von Dosky Teja KattenbornSammendrag
Excessive tree mortality is a global concern and remains poorly understood as it is a complex phenomenon. We lack global and temporally continuous coverage on tree mortality data. Ground-based observations on tree mortality, e.g., derived from national inventories, are very sparse, and may not be standardized or spatially explicit. Earth observation data, combined with supervised machine learning, offer a promising approach to map overstory tree mortality in a consistent manner over space and time. However, global-scale machine learning requires broad training data covering a wide range of environmental settings and forest types. Low altitude observation platforms (e.g., drones or airplanes) provide a cost-effective source of training data by capturing high-resolution orthophotos of overstory tree mortality events at centimeter-scale resolution. Here, we introduce deadtrees.earth, an open-access platform hosting more than two thousand centimeter-resolution orthophotos, covering more than 1,000,000 ha, of which more than 58,000 ha are manually annotated with live/dead tree classifications. This community-sourced and rigorously curated dataset can serve as a comprehensive reference dataset to uncover tree mortality patterns from local to global scales using space-based Earth observation data and machine learning models. This will provide the basis to attribute tree mortality patterns to environmental changes or project tree mortality dynamics to the future. The open nature of deadtrees.earth, together with its curation of high-quality, spatially representative, and ecologically diverse data will continuously increase our capacity to uncover and understand tree mortality dynamics.