MACSUR Literature Database -- Query Results

	MACSUR Literature Database Home \| Show All \| Simple Search \| Advanced Search	Login Quick Search: Field: contains: ...
	1–5 of 24 records found matching your query (RSS):

Search & Display Options

Select All Deselect All

<< 1 2 3 4 5 >>

List View

Citations

Details

	Records
	Author	Virkajärvi, P.; Korhonen, P.; Bellocchi, G.; Curnel, Y.; Wu, L.; Jégo, G.; Persson, T.; Höglind, M.; Van Oijen, M.; Gustavsson, A.-M.; Kipling, R.P.
	Title	Modelling responses of forages to climate change with a focus on nutritive value			Type	Journal Article
	Year	2016	Publication	Advances in Animal Biosciences	Abbreviated Journal	Advances in Animal Biosciences
	Volume	7	Issue	03	Pages	227-228
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2040-4700	ISBN		Medium
	Area		Expedition		Conference
	Notes	LiveM, ft_macsur			Approved	no
	Call Number	MA @ admin @			Serial	4876
Permanent link to this record



	Author	Persson, T.; Kværnø, S.; Höglind, M.
	Title	Impact of soil type extrapolation on timothy grass yield under baseline and future climate conditions in southeastern Norway			Type	Journal Article
	Year	2015	Publication	Climate Research	Abbreviated Journal	Clim. Res.
	Volume	65	Issue		Pages	71-86
	Keywords	climate change scenarios; crop modelling; forage grass; lingra; soil properties; spatial variability; phleum pretense; poaceae; simulation-model; nutritive-value; systems simulation; catimo model; crop models; growth; nitrogen; scale; productivity; regrowth
	Abstract	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 Ostfold 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.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	0936-577x 1616-1572	ISBN		Medium	Article
	Area		Expedition		Conference
	Notes	CropM, ft_macsur			Approved	no
	Call Number	MA @ admin @			Serial	4674
Permanent link to this record



	Author	Höglind, M.
	Title	Europeisk landbruk i et klima i endring (MACSUR)			Type	Conference Article
	Year	2014	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords	CropM
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference	Bioforsk-konferansen 2014, Hamar Norway, 2014-02-05 to 2014-02-06
	Notes				Approved	no
	Call Number	MA @ admin @			Serial	2485
Permanent link to this record



	Author	Øygarden, L.; Höglind, M.; Harstad, M.; Hoveid, Ø.
	Title	Modelling European Agriculture with Climate change for food security			Type	Conference Article
	Year	2013	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords	CropM
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference	Bioforsk conference 2013. Proceedings in; Bioforsk Fokus Vol. 8 Nr 2. 2013. pp 372-374. Editors; Erling Fløistad & Morten Gunther. 390 pp. ISBN 978-82-17-00998-6., 2013-02-06 to 2013-02-07
	Notes				Approved	no
	Call Number	MA @ admin @			Serial	2689
Permanent link to this record



	Author	Höglind, M.; the partners of LiveM task L1.3
	Title	Bringing together grassland and farm scale modelling. Part 1. Characterizing grasslands in farm scale modelling			Type	Report
	Year	2017	Publication	FACCE MACSUR Reports	Abbreviated Journal
	Volume	10	Issue		Pages	L1.3-D
	Keywords
	Abstract	This report provides an overview of how grasslands are represented in six different farmscale models represented in MACSUR. A survey was conducted, followed by a workshop in which modellers discussed the results of the survey, and identified research challenges and knowledge gaps. The workshop was attended by grassland as well as livestock specialists. The investigated models differed largely with respect to how grasslands were represented, e.g. as regards weather and management factors accounted for, spatial and temporal resolution, and output variables. All models had grassland modules that simulate DM yield and herbage N content (or crude protein (CP) content = N content x 6.25). Many models also simulate P content, whereas only one simulate K content. About half of the model simulate herbage energy value and/or herbage fibre content and fibre and/or dry matter digestibility. Critical input data required from grassland models to simulate ruminant productivity and GHG emissions at farm scale was identified by the workshop participants. The different types of input data required were ranked in order of importance as regards their influence on important system outputs. For simulation of ruminant productivity and GHG emissions, herbage DM yield was ranked as the most important input variable from grassland models, followed by CP content together with at least one variable describing herbage fibre characteristics. These findings suggest that work on improving the ability of the current grassland models with respect to simulation of fibre/energy should be prioritized in farm-scale modelling aiming at quantifying livestock production and GHG emissions under different management regimes and climate conditions. More work is also needed on model evaluation, a task that has not been prioritized yet for some models.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	LiveM			Approved	no
	Call Number	MA @ admin @			Serial	4957
Permanent link to this record