In Norway, there has been a large increase in the red deer (Cervus elaphus L.) population, especially in the core areas in western Norway and the population is historically high. Consequently, damages to forests and agricultural grassland have increased and with economic consequences for stakeholders. However, there is a limited understanding of spatial and temporal variation in browsing and grazing patterns of economically important tree species and crops. A deeper understanding of red deer population ecology and patterns of space use is a key to predict damages and to mitigate their impact in human-dominated landscapes and forests. The main objective for this PhD study is to quantify the severity of grazing and browsing damages on forests and agricultural grassland and to determine spatial risk factors. To achieve this, we will combine data on grazing damages to agricultural grasslands, to economically important tree species, and a large dataset of tracking GPS-marked red deer. In the first paper we used experiment exclosures to assess red deer grazing on agricultural grassland. We found an overall loss of biomass of about 20% of total yield, and further that high terrain ruggedness and a high red deer population density increased the biomass loss. In the second paper we analyzed bark-stripping damage to Norway spruce in 470 stands along the west coast of Norway. Bark-stripping damage to spruce stands increased in stands with a longer distance to road, higher red deer density and higher terrain ruggedness index. Damages decreased with increased distance to agricultural land and higher forest age. In the coming papers of the PhD work, we will look at clustering of red deer using GPS-data, timing of habitat change and spatial revisitation to learn more about red deer movement ecology and their impact on human dominated landscapes and forests.