Anne Kari Bergjord Olsen

Dr. Anne Kari Bergjord Olsen

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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 April 2017 in Journal of Applied Ecology
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AOAnne Kari Bergjord Olsen
Anne Kari Bergjord Olsen
JBJarle W. Bjerke
Jarle W. Bjerke
ITIngunn M. Tombre
Ingunn M. Tombre

18 February 2017 in AMBIO
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JBJohannes M. Baveco
Johannes M. Baveco
AOAnne Kari Bergjord Olsen
Anne Kari Bergjord Olsen
JBJarle W. Bjerke
Jarle W. Bjerke
MCMagda E. Chudzińska
Magda E. Chudzińska
LPLoïc Pellissier
Loïc Pellissier
BNBart A. Nolet
Bart A. Nolet
Many goose species feed on agricultural land, and with growing goose numbers, conflicts with agriculture are increasing. One possible solution is to designate refuge areas where farmers are paid to leave geese undisturbed. Here, we present a generic modelling tool that can be used to designate the best locations for refuges and to gauge the area needed to accommodate the geese. With a species distribution model, locations are ranked according to goose suitability. The size of the area to be designated as refuge can be chosen by including more or less suitable locations. A resource depletion model is then used to estimate whether enough resources are available within the designated refuge to accommodate all geese, taking into account the dynamics of food resources, including depletion by geese. We illustrate this with the management scheme for pink-footed goose Anser brachyrhynchus implemented in Norway. Here, all geese can be accommodated, but damage levels appear to depend on weather, land use and refuge size.

23 June 2026 in Land
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DKDorothee Kolberg
Dorothee Kolberg
EHEva Solbjørg Flo Heggem
Eva Solbjørg Flo Heggem
AOAnne Kari Bergjord Olsen
Anne Kari Bergjord Olsen
MHMats Höglind
Mats Höglind
HRHugh Riley
Hugh Riley
SDSigridur Dalmannsdottir
Sigridur Dalmannsdottir
In Norway, agroclimatic zones (ACZs) are a valuable tool for national analyses in subject areas concerning the optimized management of agricultural land resources. However, current Norwegian ACZs have been criticized for having an outdated standard climate normal (1931–1960), a limited representation of the local climatic variation, a lack of important model parameters, and weak methodological documentation. Therefore, this paper presents new ACZs for Norway that address these weaknesses. The most significant methodological updates are the use of the standard climate normal of 1991–2020, additional weather data variables, the downscaling of weather data to 250 m hexagons, and the incorporation of phenological crop models for spring wheat, spring barley, and forage grass. The grass model was calibrated with the number of grass harvests at research stations, while the grain models were calibrated with subsidy claim data. The modeled zones for the three crops were combined into the general ACZs. Example maps of the crop zones and new ACZs for the selected regions and the whole country are presented. The new ACZs are more robust, agronomically relevant, and better aligned with the current climatic conditions in Norway. The deliberate exclusion of factors other than climate ensures the new ACZs’ national comparability and their applicability in policy development, land-use planning, climate adaptation, and agronomic assessments at the national scale.