Publikasjoner
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2015
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Trygve S. AamlidSammendrag
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Ivan N. Bolotov Yulia V. Bespalaya Ilya V. Vikhrev Olga V. Aksenova Paul Eric Aspholm Mikhail Y. Gofarov Olga K. Klishko Yulia S. Kolosova Alexander V. Kondakov Artyom A. Lyubas Inga S. Paltser Ekaterina S. Konopleva Sakboworn Tumpeesuwan Nikita I. Bolotov Irina S. VoroshilovaSammendrag
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Eva Brod Anne K. Falk Øgaard Eddy Walther Hansen David Wragg Trond Haraldsen Tore KrogstadSammendrag
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Zhibo Hamborg Gry Skjeseth Abdelhameed Elameen Sissel Haugslien Astrid Sivertsen Jihong Liu Clarke Qiao-Chun Wang Dag-Ragnar BlystadSammendrag
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Mohammad Maniruzzaman Mohammad Shahid Ullah Talukder M.H. Khan Jatish C. Biswas Attila NemesSammendrag
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Attila NemesSammendrag
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Sammendrag
Interactions between soil properties and climate affect forage grass productivity. Dynamic models, simulating crop performance as a function of environmental conditions, are valid for a specific location with given soil and weather conditions. Extrapolations of local soil properties to larger regions can help assess the requirement for soil input in regional yield estimations. Using the LINGRA model, we simulated the regional yield level and variability of timothy, a forage grass, in Akershus and Østfold counties, Norway. Soils were grouped according to physical similarities according to 4 sets of criteria. This resulted in 66, 15, 5 and 1 groups of soils. The properties of the soil with the largest area was extrapolated to the other soils within each group and input to the simulations. All analyses were conducted for 100 yr of generated weather representing the period 1961-1990, and climate projections for the period 2046-2065, the Intergovernmental Panel on Climate Change greenhouse gas emission scenario A1B, and 4 global climate models. The simulated regional seasonal timothy yields were 5-13% lower on average and had higher inter-annual variability for the least detailed soil extrapolation than for the other soil extrapolations, across climates. There were up to 20% spatial intra-regional differences in simulated yield between soil extrapolations. The results indicate that, for conditions similar to these studied here, a few representative profiles are sufficient for simulations of average regional seasonal timothy yield. More spatially detailed yield analyses would benefit from more detailed soil input.
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© The Author(s) 2015. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.