USING LANDIS-II MODEL AT MOUNT PAPANDAYAN TO EXPLORE THE EFFECTS OF TEMPERATURE RISE TOWARDS THE FOREST DYNAMIC

• Main Author: Adelia Widijanto, Maria
• Format: Final Project
• Language: Indonesia
• Subjects: Ilmu hayati ; Biologi
• Online Access: https://digilib.itb.ac.id/gdl/view/57471
• Institution: Institut Teknologi Bandung

Forests have an important role to mitigate the rising temperature effect in a world that is facing the threat of climate change. Therefore, it is important to understand the processes and responses of forest dynamics to the changes that are taking place. LANDIS-II is a forest landscape model capable of simulating forest dynamics in spatial and temporal scales. This model has been widely used in various places. In this study, the LANDIS-II model will be applied in Mount Papandayan forest using the PnET-Succession extension module. This study aims to use LANDIS-II to assess the impact of temperature rise based on the IPCC RCP 8.5 scenario on tree stand biomass (AGB) within 100 years in the Mount Papandayan forest and analyze the key processes that cause changes in biomass patterns as a result of temperature rises. The model is first parameterized before used for simulating the forest growth under RCP 8.5 temperature rise scenario. The results of the study show that in the projected condition of increasing air temperature in the next 100 years, the forest will experience a decrease in biomass. This decrease in biomass is caused by two main processes. The first is the reduction in photosynthesis because this process is sensitive to temperature rises. The second is the increase of potential mortality rate that can be analyzed by PnET-Succession through information on fluctuations in non-structural carbohydrates, which shows to be decreasing its production under high temperature. The conclusion of this research is the increase in air temperature can reduce the production of forest biomass by 29.72%. This is caused by two key processes, namely a decrease in the rate of photosynthesis by 11.82% and an increase in the probability of death through its correlation with the value of non-structural carbohydrates whose production decreases by 54.25% under high temperature conditions.