Reliable information about the land surface and vegetation is a prerequisite for managing protected areas, maintaining biodiversity or even predicting climate change. Yet, despite the enormous efforts in field-mapping campaigns, the coverage of vegetation maps in Norway is low. To supplement the coverage of vegetation maps, statistical methods were applied to predict the vegetation distribution. Information about environmental conditions regulating the vegetation distributions were extracted in the process. Moreover, the environmental information about the preferences of each vegetation type was used to improve the ecological components of climate models. This doctoral thesis (1) presents detailed predictions of vegetation-type distribution...
The impact of climate change on forest ecosystems may manifest itself by a shift in forest vegetatio...
This study explores the effect of increasing sample units density with presence-only data (PO data) ...
Altitudinal tree- and forest lines (TFLs) are two boundaries (but often abbreviated with one word to...
Aim: Many countries lack informative and high‐resolution, wall‐to‐wall vegetation or land‐cover maps...
Vegetation is an important component in global ecosystems, affecting the physical, hydrological and ...
Aim: Distribution modelling is a useful approach to obtain knowledge about the spatial distribution ...
Finnmarksvidda is Norway’s largest mountain plateau, located in the Arctic/alpineboreal transition ...
Distribution limits of plants in relation to climatic variables have long interested ecologists. Hig...
Alpine plant communities are being subject to climate change, resulting in the need for plants to ad...
Dataset accompanying manuscript "A comparison among three ways to assemble wall-to-wall land-cover m...
International audienceReconstructions of modern Potential Natural Vegetation (PNV) are widely used i...
Refugia, the sites preserving conditions reminiscent of suitable climates, are projected to be cruci...
The Norwegian area frame survey of land cover and outfield land resources (AR18X18), completed in 20...
This chapter illustrates some recent approaches to broad-scale modelling of ecosystems in Northern r...
The impact of climate change on forest ecosystems may manifest itself by a shift in forest vegetatio...
This study explores the effect of increasing sample units density with presence-only data (PO data) ...
Altitudinal tree- and forest lines (TFLs) are two boundaries (but often abbreviated with one word to...
Aim: Many countries lack informative and high‐resolution, wall‐to‐wall vegetation or land‐cover maps...
Vegetation is an important component in global ecosystems, affecting the physical, hydrological and ...
Aim: Distribution modelling is a useful approach to obtain knowledge about the spatial distribution ...
Finnmarksvidda is Norway’s largest mountain plateau, located in the Arctic/alpineboreal transition ...
Distribution limits of plants in relation to climatic variables have long interested ecologists. Hig...
Alpine plant communities are being subject to climate change, resulting in the need for plants to ad...
Dataset accompanying manuscript "A comparison among three ways to assemble wall-to-wall land-cover m...
International audienceReconstructions of modern Potential Natural Vegetation (PNV) are widely used i...
Refugia, the sites preserving conditions reminiscent of suitable climates, are projected to be cruci...
The Norwegian area frame survey of land cover and outfield land resources (AR18X18), completed in 20...
This chapter illustrates some recent approaches to broad-scale modelling of ecosystems in Northern r...
The impact of climate change on forest ecosystems may manifest itself by a shift in forest vegetatio...
This study explores the effect of increasing sample units density with presence-only data (PO data) ...
Altitudinal tree- and forest lines (TFLs) are two boundaries (but often abbreviated with one word to...