The impact of climate change has been rapidly increasing over the last few decades which introduces new challenges for the Finnish forest sector. The mean annual temperature is expected to rise by about 2-6 degrees before the next century, potentially introducingnew risks, such as invasive pest species, as well as amplifying risks already threatening the forests, such as wind damage and forest fires. Forest managers are in need of adaptive management tools capable of keeping the forests profitable. Forestry in Finland also plays an important socioeconomic role in the Finnish society, since the Finnish forest industry which accounts for a large share of the Finnish GDP is heavily reliant on domestic forestry. A potential solution is utilizing GIS-based technology, which is increasing in effectiveness due to technological advancements, such as new and faster data gathering methods. By utilizing GIS-based risk assessment in DSS, the systemsmay assist forest managers with both identifying and mitigating the potential risks, as well as functioning as tools assisting decision-making based on the risks. A systematic literature review was conducted to analyze the overall usefulness of these systems based on the risks caused by climate change in Finnish forests, as well as to identify potential flaws in current practices. The results of the review are based on 28 primary studies that formed the foundation of the analysis as well as a consensus on the topic based on academic sources, addressing questions regarding evidence of existing systems, which risks they may assess, and how they may help planning efforts in the long or short-term. The results suggest that GISbased risk assessment DSS generally prove useful for assessing most of the identified risks caused by climate change. The systems may assist planning efforts in mitigating these risks and the methods used by systems are expected to improve with increased access to higher quality and quantity of data. The adoption process of the systems may, however, possess some obstacles, and the practice of assessing isolated risks may introduce potential flaws and lower the overall reliability of the systems.