Japan Geoscience Union Meeting 2016

Presentation information

Oral

Symbol M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI20] Environmental changes in mountainous area

Tue. May 24, 2016 3:30 PM - 5:00 PM 301A (3F)

Convener:*Keisuke Suzuki(Department of Environmental Sciences, Faculty of Science, Shinshu University), Yoshihiko Kariya(Department of Environmental Geography, Senshu University), Akihiko SASAKI(Faculty of Science, Shinshu University), Chair:Keisuke Suzuki(Department of Environmental Sciences, Faculty of Science, Shinshu University)

3:45 PM - 4:00 PM

[MGI20-02] Effects of climate change on flowering phenology of montane plants: a case study for a spring ephemeral and alpine plants

★Invited papers

*NAOYA WADA1 (1.Center for Far Eastern Studies, Organization for Promotion of Research, University of Toyama)

Keywords:phenology, alpine plants, climate change

Plant phenology, seasonal and periodic behavior shown by plants, is though to be largely affected by global climate change. Most studies on plant phenology have been carried out on the low-elevation sites in and/or near the urban area. Phenological observation has been rarely conducted in the montane area, especially in the alpine region, where global climate change would have a strong impact. In this presentation, I will show seasonal and yearly variations of flowering phenology in montane plants inhabiting in a secondary forest and alpine ecosystems having a snowy climatic regime. Target species are Erythronium japonicum, Diapensia lapponica var. obovata, and Sieversia pentapetala. I and co-researchers observed these flowering phenology from 2010 to 2015, and also measured air and soil temperatures, and recorded directly or estimated indirectly dates of snowmelt. According to an analyzing technique reported by Kimball et al. (2014), we could express temporal changes of the flowering rate as a logistic curve, using degree-day accumulations based on air and soil temperatures, day of year, and day from snowmelt as explanatory variables. I will show the species specific difference of significant variables against the flowering phenology, and the effectiveness using a logistic model for describing and predicting flowering phenology of montane plants.