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.
2022
Authors
Jingjing Liang Javier G. P. Gamarra Nicolas Picard Mo Zhou Bryan Pijanowski Douglass F. Jacobs Peter B. Reich Thomas W. Crowther Gert-Jan Nabuurs Sergio de-Miguel Jingyun Fang Christopher W. Woodall Jens-Christian Svenning Tommaso Jucker Jean-Francois Bastin Susan K. Wiser Ferry Slik Bruno Hérault Giorgio Alberti Gunnar Keppel Geerten M. Hengeveld Pierre L. Ibisch Carlos A. Silva Hans ter Steege Pablo L. Peri David A. Coomes Eric B. Searle Klaus von Gadow Bogdan Jaroszewicz Akane O. Abbasi Meinrad Abegg Yves C. Adou Yao Jesús Aguirre-Gutiérrez Angelica M. Almeyda Zambrano Jan Altman Esteban Alvarez-Dávila Juan Gabriel Álvarez-González Luciana F. Alves Bienvenu H. K. Amani Christian A. Amani Christian Ammer Bhely Angoboy Ilondea Clara Antón Fernández Valerio Avitabile Gerardo A. Aymard Akomian F. Azihou Johan A. Baard Timothy R. Baker Radomir Balazy Meredith L. Bastian Rodrigue Batumike Marijn Bauters Hans Beeckman Nithanel Mikael Hendrik Benu Robert Bitariho Pascal Boeckx Jan Bogaert Frans Bongers Olivier Bouriaud Pedro H. S. Brancalion Susanne Brandl Francis Q. Brearley Jaime Briseno-Reyes Eben N. Broadbent Helge Bruelheide Erwin Bulte Ann Christine Catlin Roberto Cazzolla Gatti Ricardo G. César Han Y. H. Chen Chelsea Chisholm Emil Cienciala Gabriel D. Colletta José Javier Corral-Rivas Anibal Cuchietti Aida Cuni-Sanchez Javid A. Dar Selvadurai Dayanandan Thales de Haulleville Mathieu Decuyper Sylvain Delabye Géraldine Derroire Ben DeVries John Diisi Tran Van Do Jiri Dolezal Aurélie Dourdain Graham P. Durrheim Nestor Laurier Engone Obiang Corneille E. N. Ewango Teresa J. Eyre Tom M. Fayle Lethicia Flavine N. Feunang Leena Finér Markus Fischer Jonas Fridman Lorenzo Frizzera André L. de Gasper Damiano Gianelle Henry B. Glick Maria Socorro Gonzalez-Elizondo Lev Gorenstein Richard Habonayo Olivier J. Hardy David J. Harris Andrew Hector Andreas Hemp Martin Herold Annika Hillers Wannes Hubau Thomas Ibanez Nobuo Imai Gerard Imani Andrzej M. Jagodzinski Stepan Janecek Vivian Kvist Johannsen Carlos A. Joly Blaise Jumbam Banoho L. P. R. Kabelong Goytom Abraha Kahsay Viktor Karminov Kuswata Kartawinata Justin N. Kassi Elizabeth Kearsley Deborah K. Kennard Sebastian Kepfer-Rojas Mohammed Latif Khan John N. Kigomo Hyun Seok Kim Carine Klauberg Yannick Klomberg Henn Korjus Subashree Kothandaraman Florian Kraxner Amit Kumar Relawan Kuswandi Mait Lang Michael J. Lawes Rodrigo V. Leite Geoffrey Lentner Simon L. Lewis Moses B. Libalah Janvier Lisingo Pablito Marcelo López-Serrano Huicui Lu Natalia V. Lukina Anne Mette Lykke Vincent Maicher Brian S. Maitner Eric Marcon Andrew R. Marshall Emanuel H. Martin Olga Martynenko Faustin M. Mbayu Musingo T. E. Mbuvi Jorge A. Meave Cory Merow Stanislaw Miscicki Vanessa S. Moreno Albert Morera Sharif A. Mukul Jörg C. Müller Agustinus Murdjoko Maria Guadalupe Nava-Miranda Litonga Elias Ndive Victor J. Neldner Radovan V. Nevenic Louis N. Nforbelie Michael L. Ngoh Anny E. N’Guessan Michael R. Ngugi Alain S. K. Ngute Emile Narcisse N. Njila Melanie C. Nyako Thomas O. Ochuodho Jacek Oleksyn Alain Paquette Elena I. Parfenova Minjee Park Marc Parren Narayanaswamy Parthasarathy Sebastian Pfautsch Oliver L. Phillips Maria T. F. Piedade Daniel Piotto Martina Pollastrini Lourens Poorter John R. Poulsen Axel Dalberg Poulsen Hans Pretzsch Mirco Rodeghiero Samir G. Rolim Francesco Rovero Ervan Rutishauser Khosro Sagheb-Talebi Purabi Saikia Moses Nsanyi Sainge Christian Salas-Eljatib Antonello Salis Peter Schall Dmitry Schepaschenko Michael Scherer-Lorenzen Bernhard Schmid Jochen Schöngart Vladimír Šebeň Giacomo Sellan Federico Selvi Josep M. Serra-Diaz Douglas Sheil Anatoly Z. Shvidenko Plinio Sist Alexandre F. Souza Krzysztof J. Stereńczak Martin J. P. Sullivan Somaiah Sundarapandian Miroslav Svoboda Mike D. Swaine Natalia Targhetta Nadja Tchebakova Liam A. Trethowan Robert Tropek John Tshibamba Mukendi Peter Mbanda Umunay Vladimir A. Usoltsev Gaia Vaglio Laurin Riccardo Valentini Fernando Valladares Fons van der Plas Daniel José Vega-Nieva Hans Verbeeck Helder Viana Alexander C. Vibrans Simone A. Vieira Jason Vleminckx Catherine E. Waite Hua-Feng Wang Eric Katembo Wasingya Chemuku Wekesa Bertil Westerlund Florian Wittmann Verginia Wortel Tomasz Zawiła-Niedźwiecki Chunyu Zhang Xiuhai Zhao Jun Zhu Xiao Zhu Zhi-Xin Zhu Irie C. Zo-Bi Cang HuiAbstract
The latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots. We then quantify drivers of local tree species richness patterns across latitudes. Generally, annual mean temperature was a dominant predictor of tree species richness, which is most consistent with the metabolic theory of biodiversity (MTB). However, MTB underestimated LDG in the tropics, where high species richness was also moderated by topographic, soil and anthropogenic factors operating at local scales. Given that local landscape variables operate synergistically with bioclimatic factors in shaping the global LDG pattern, we suggest that MTB be extended to account for co-limitation by subordinate drivers.
Authors
Michel VerheulAbstract
No abstract has been registered
Abstract
Climate change results in longer growing season, benefitting forage crop production in northern Norway. Wild goose populations take advantage of the increased access to this high-quality feed. European goose populations are increasing, triggering conflicts and economical losses for farmers. A warmer climate may open for higher yielding seed mixtures, with better tolerance against goose grazing. We tested eight different seed mixtures by adding five forage species in various combinations to a traditional, commercial seed mixture in a randomized block design, three replicates. Goose grazing was simulated by weekly cutting small plots (0.25 m2) fixed within 10.5 m2 larger plots. Cumulated biomass in the weekly cut small plots was compared to total yields from the large plots, harvested twice according to normal practice. No significant differences in biomass accumulation between seed mixtures of the weekly cut plots were identified, possibly due to large variation between replicates, harvest years and cutting regime. However, results indicate that several of the new mixtures containing Dactylis glomerata are higher yielding and tolerate intensified cutting better than the traditional mixtures. This suggests that traditional, commercial seed mixtures are not the best for grasslands subjected to intensive geese grazing. goose grazing, Northern Norway, Dactylis glomerata, field study, simulated grazing
Abstract
No abstract has been registered
Abstract
No abstract has been registered
Abstract
The occurrence of freeze–thaw cycles modifies water infiltration processes and surface runoff generation. Related processes are complex and are not yet fully investigated at field scale. While local weather conditions and soil management practices are the most important factors in both runoff generation and surface erosion processes, local terrain heterogeneities may significantly influence soil erosion processes in catchments with undulating terrain. This paper presents a field-based investigation of spatial and temporal heterogeneities in subsurface soil moisture and soil temperature associated with freezing, thawing, and snowmelt infiltration. The field setup consists of a combination of traditional point measurements performed with frequency domain reflectometry (FDR) and electrical resistivity tomography (ERT). The transect was approximately 70 m long and spanned an entire depression with a north-facing slope (average slope of 11.5%) and a south-facing slope (average slope of 9.7%). The whole depression was entirely covered with stubble. Observed resistivity patterns correspond well to the measured soil moisture patterns. During the observation period, the north facing slope froze earlier and deeper compared with the south facing slope. Freeze–thaw cycles were less pronounced in the north-facing slope than in the south-facing slope. There were also differences in soil temperature and soil moisture patterns between lower and upper parts of the monitored depression. These indicate that initiation and development of runoff related processes, and consequently soil erosion, in regions with freeze–thaw cycles may differ significantly depending on local terrain characteristics. Consequently, it indicates that spatial terrain heterogeneities, especially slope aspects, may be important when studying soil erosion processes, water flow and nutrient leaching in lowlands where patchy snowpacks and dynamic freeze–thaw cycles are predominating.
Abstract
Rapid methods allowing for non-destructive crop monitoring are imperative for accurate in-season nitrogen (N) status assessment and precision N management. The objectives of this paper were to (1) compare the performance of a leaf fluorescence sensor Dualex 4 and an active canopy reflectance sensor Crop Circle ACS-430 for estimating maize (Zea mays L.) N status indicators across growth stages; (2) evaluate the potential of N status prediction across growth stages using the reflectance parameters acquired from the canopy sensor at an early growth stage; and, (3) investigate the prospect of combining the active canopy sensor and leaf fluorescence sensor data to estimate N nutrition index (NNI) indirectly using a general model across growth stages. The results indicated that data from both sensors were closely related to NNI across stages. However, using the direct NNI estimation method, among the tested indices, only the N balance index (NBI) could diagnose N status satisfactorily, based on the Kappa statistics. The effect of growth stages on proximal sensing was reduced by incorporating the information of days after sowing. It was found that the leaf fluorescence sensor performed relatively better in estimating plant N concentration whereas the canopy reflectance sensor performed better in aboveground biomass estimation. Their combination significantly improved the reliability of N diagnosis, including NNI prediction. In addition, the study confirmed that N status can be assessed by predicting aboveground biomass at the later stages using the canopy reflectance measurements at an early stage. Furthermore, the integrated NBI was verified to be a more robust and sensitive N status indicator than the chlorophyll concentration index. It is concluded that combining active canopy sensor data, of an early growth stage (e.g. V8), with leaf fluorescence sensor data, modified using days after sowing, can improve the accuracy of corn N status diagnosis across growth stages.
Abstract
No abstract has been registered
Abstract
The impact of weather, soil and management on yield and nutritive value of grassland can be evaluated using process-based simulation models. These models may be calibrated using data on biomass, leaf area and other characteristics acquired from drones, hand-held devices, and satellites. The objective of this study was to compare the prediction accuracy of the BASGRA model calibrated with grassland data from Northern Norway obtained in 2016 and 2017. The data were acquired either from: (1) ground registrations; or (2) a hand-held spectrometer and satellites. Data on crude protein and fibre content from NIRS analyses were used in both calibrations. Daily air temperature, precipitation, relative air humidity, wind speed and solar radiation that were input to the BASGRA simulations were taken from The Norwegian Meteorological Institute and The Agrometeorology Norway network. Information about soil texture, cutting regime and N fertilization was obtained from farmers and advisers. The differences between simulated and observed biomass, and crude protein and fibre content were similar after the two calibrations. Observed crude protein and fibre content were simulated with a higher accuracy than biomass for both types of calibration data.
Authors
Francesca Shepherd Caroline Chylinski Michael R. Hutchings Joana Lima Ross Davidson Robert Kelly Alastair Macrae Juha-Pekka Salminen Marica T. Engström Veronica Maurer Håvard Steinshamn Susanne Fittje Ángela Morell Pérez Rocio Rosa Garcia Spiridoula AthanasiadouAbstract
Background: Gastrointestinal nematode (GIN) control is traditionally achieved with the use of anthelmintic drugs, however due to regulations in organic farming and the rise in anthelmintic resistance, alternatives are sought after. A promising alternative is the use of bioactive plant feeding due to the presence of plant secondary metabolites (PSMs) such as proanthocyanidins (PAs). This study focussed on the perennial shrub heather (Ericaceae family), a plant rich in PAs, highly abundant across Europe and with previously demonstrated anthelmintic potential. Methods: In vitro assays were used to investigate heather’s anthelmintic efficacy against egg hatching and larval motility. Heather samples were collected from five European countries across two seasons, and extracts were tested against two GIN species: Teladorsagia circumcincta and Trichostrongylus colubriformis. Polyphenol group‑specific ultraperformance liquid chromatography‑tandem mass spectrometry analysis was performed to identify relevant polyphenol subgroups present, including the PA concentration and size and ratio of the subunits. Partial least squares analysis was performed to associate efficacy with variation in PSM composition. Results: Heather extracts reduced egg hatching of both GIN species in a dose‑dependent manner by up to 100%, while three extracts at the highest concentration (10 mg/ml) reduced larval motility to levels that were not signifi‑ cantly different from dead larvae controls. PAs, particularly the procyanidin type, and flavonol derivatives were associ‑ ated with anthelmintic activity, and the particular subgroup of polyphenols associated with the efficacy was depend‑ ent on the GIN species and life stage. Conclusions: Our results provide in vitro evidence that heather, a widely available plant often managed as a weed in grazing systems, has anthelmintic properties attributed to various groups of PSMs and could contribute to sustainable GIN control in ruminant production systems across Europe.