Terrestrial Ecosystem Monitoring

Erik Framstad

Main scientific experience covers population and habitat ecology of small mammals in boreal forests and mountain ecosystems. Applied research and consultancy work includes studies and assessments of boreal forest ecology, protected areas, ecological effects of agriculture and forestry on species and ecosystems, environmental impact assessments of infrastructure development projects, as well as assessments, indicators and monitoring of terrestrial biodiversity.

Main administrative experience covers management of NINA's research department in Oslo over > 25 yrs, as well as coordination of terrestrial ecosystem monitoring and major research projects and programmes on boreal forests or cultural landscapes.

John Atle Kålås

Marianne Evju

plant ecology, monitoring of biodiversity, nature types, demography and population dynamics, plant-herbivore interactions

Heidi Elin Myklebost

Vegetasjonsøkologi, vegetasjonsovervåking, naturtypekartlegging etter NiN.

Odd Egil Stabbetorp

Research Ecologist Field of work: Vegetation ecology, botany, population ecology, population genetics, conservation biology, species and area management, agricultural landscapes, environmental impact assessments, landscape analysis, geographic information systems (GIS).

Vegar Bakkestuen

Major practical experience includes: Thorough knowledge of different GIS applications, e.g. ArcView, ArcGIS, ArcInfo, ERDAS IMAGINE, Surfer, Idrisi, MapObjects, Grass, MapFactory, Splus SpatialStatistics. Thorough knowledge of Avenue, script language of ArcView. Development of scripts and extensions for ArcView Knowledge of VisualBasic programming Digital landscape- and terrain analyses Spatial statistics Studies of vegetation structure and vegetation dynamics Regional studies of impacts of acid deposition on terrestrial plant biota, - vascular plants, bryophytes, lichens and fungi. Fieldwork design, sampling protocols and data analyses Numerical and statistical treatment of field data, including multivariate analyses like CA, DCA and direct gradient analyses; e.g. CCA constrained ordination