[H-TT16] Development and application of environmental traceability methods

[HTT16-03] A chemical approach to monitoring mountain land due to climate change

*kawagoe seiki¹, Tatsuki Sakuma², Shiho Yabusaki³ (1.Faculty of Symbiotic Systems science/Fukushima university, 2.Greduate school of of Symbiotic Systems Science and Technology/Fukushima university, 3.Research institute for Humanity and Nature)

Keywords:ICP-MS, landslide, Sika deer, mountain stream water

Climate change is expected to cause various changes in natural ecosystems due to warming and precipitation extremes. In mountainous areas in particular, where monitoring and management are difficult due to the lack of population concentrations, it is difficult to monitor changes. In the future, satellite and aerial photography technologies are expected to dramatically improve monitoring techniques. On the other hand, information directly under the tree canopy is still difficult to decipher because the monitoring is mainly conducted in forested areas. Therefore, a monitoring method that can complement aerial photography is needed. The effects of climate change are occurring in an ongoing manner. In recent years, slope failures have been frequently observed in mountainous areas due to heavy rainfall. In addition, the habitat of the Japanese deer (Cervus nippon yesoensis) is expanding as a result of ecological changes associated with global warming and population decline. These effects of climate change are compounded. Deer damage to forest belts and forest floors is linked to the acceleration of slope failures because it interferes with the water retention function of the mountainous areas.
Based on these backgrounds, we started mountain land change monitoring in Fukushima Prefecture, which is at risk of habitat expansion due to the northward migration of the Japanese deer. We obtained chemical composition data based on water discharged from mountain streams. We will compare the data with those of other feeding areas in Japan to elucidate their characteristics and consider their application to monitoring.