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.
2022
Sammendrag
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.
Sammendrag
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Sammendrag
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Forfattere
Stephan Hoffmann Marian Schönauer Joachim Heppelmann Antti Asikainen Emmanuel Cacot Benno Eberhard Hubert Hasenauer Janis Ivanovs Dirk Jaeger Andis Lazdins Sima Mohtashami Tadeusz Moskalik Tomas Nordfjell Krzysztof Stereńczak Bruce Talbot Jori Uusitalo Morgan Vuillermoz Rasmus AstrupSammendrag
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Forfattere
Lu Feng Lise Bonne Guldberg Michael Jørgen Hansen Chun Ma Rikke Vinther Ohrt Henrik Bjarne MøllerSammendrag
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Forfattere
Anna Birgitte MilfordSammendrag
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Forfattere
P.L. Sullivan S.A. Billings D. Hirmas L. Li X. Zhang S. Ziegler K. Murenbeeld H. Ajami A. Guthrie K. Singha D. Giménez A. Duro V. Moreno A. Flores A. Cueva A.N. Koop E.L. Aronson H.R. Barnard S.A. Banwart R.M. Keen Attila Nemes N.P. Nikolaidis J.B. Nippert D. Richter D.A. Robinson K. Sadayappan Souza de Souza M. Unruh H. WenSammendrag
Soils form the skin of the Earth’s surface, regulating water and biogeochemical cycles and generating production of food, timber, and textiles around the world. Changes in soil and its ability to perform a range of processes have important implications for Earth system function, especially in the critical zone (CZ)—the area that extends from the top of the canopy to the bottom of groundwater and that harbors most of Earth’s biosphere. A key aspect of the way soil functions results from its structure, defined as the size, shape, and arrangement of soil particles and pores. The network of pores provides storage space for at least a quarter of Earth’s biodiversity, while the abundance, size and connectivity of the pore space regulates fluxes of heat, water, nutrients and gases that define the physical and chemical environment. Here we review the nature of soil structure, focusing on its co-evolution with the plants and microbes that live within the soil, and the degree to which these processes have been incorporated into flow and transport models. Though it is well known that soil structure can change with wetting and drying events, often oscillating seasonally, the dynamic nature of soil structure that we discuss is a systematic shift that results in changes in its hydro-bio-geochemical function over decades to centuries, timescales over which major changes in carbon and nutrient cycles have been observed in the Anthropocene. We argue that the variable nature of soil structure, and its dynamics, need to be better understood and captured by land surface and ecosystem models, which currently describe soil structure as static. We further argue that modelers and empiricists both are well-poised to quantify and incorporate these dynamics into their studies. From these efforts, four fundamental questions emerge: 1) How do rates of soil aggregate formation and collapse, and their overall arrangements, interact in the Anthropocene to regulate CZ functioning from soil particle to continental scales? 2) How do alterations in rooting-depth distributions in the Anthropocene influence pore structure to control hydrological partitioning, biogeochemical transformations and fluxes, exchanges of energy and carbon with the atmosphere and climate, regolith weathering, and thus regulation of CZ functioning? 3) How does changing microbial functioning in a high CO2, warmer world with shifting precipitation patterns influence soil organic carbon dynamics and void-aggregate profile dynamics? 4) How deeply does human influence in the Anthropocene propagate into the subsurface, how does this depth relate to profile structure, and how does this alter the rate at which the CZ develops? The United Nations has recently recognized that 33% of the Earth's soils are already degraded and over 90% could become degraded by 2050. This recognition highlights the importance of addressing these proposed questions, which will promote a predictive understanding of soil structure.
Forfattere
Paraskevi Alizoti Jean-Charles Bastien Debojyoti Chakraborty Marcin Miroslav Klisz Johan Kroon Charalambos Neophytou Silvio Schueler Marcela van Loo Marjana Westergren Monika Konnert Vlatko Andonovski Kjell Andreassen Peter Brang Robert Brus Branislav Cvjetković Martina Đodan Manuel Fernández Josef Frýdl Bo Karlsson Zsolt Keserű Andrej Kormutak Vasyl Lavnyy Tiit Maaten Bill Mason Georgeta Mihai Cristina Monteverdi Sanja Perić Krasimira Petkova Emil Borissov Popov Matti Rousi Srđan Milenko Stojnić Ivaylo TsvetkovSammendrag
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Forfattere
Anne Catriona Mehlhoop Bram Van Moorter Christer Moe Rolandsen Dagmar Hagen Aksel Granhus Rune Eriksen Thor Harald Ringsby Erling Johan SolbergSammendrag
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Forfattere
Ghislain Tchoromi Tepa-Yotto Robert L. Meagher Jeannette K. Winsou Borghero T. A. Dahoueto Manuele Tamò May Sæthre Rodney N. NagoshiSammendrag
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