Japan Geoscience Union Meeting 2025

Presentation information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[A-CG42] Projection and detection of global environmental change

Thu. May 29, 2025 5:15 PM - 7:15 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

convener:Michio Kawamiya(Japan Agency for Marine-Earth Science and Technology), Kaoru Tachiiri(Japan Agency for Marine-Earth Science and Technology), Hiroaki Tatebe(Japan Agency for Marine-Earth Science and Technology), V Ramaswamy(NOAA GFDL)

5:15 PM - 7:15 PM

[ACG42-P01] Mathematical Modeling of the Number of Bear Encounters in Response to Temperature and Theoretical Considerations on Regional Characteristics

*Kirari Makino1, Tsubasa Kohyama1 (1.Department of Information Sciences, Ochanomizu University)


Keywords:bear

In recent years, the increasing appearances of bears in human settlements have become a

social issue, with a sharp rise observed in 2023, a year marked by extreme weather events. In

this study, we aim to investigate the relationship between bear sightings and weather

conditions, and to create a mathematical model to understand the number of bear

appearances. Specifically, since bears come out to human settlements when their food sources

(e.g., beech, Japanese oak) experience poor harvests, this study focuses on the relationship

between beech trees and bears in the Tohoku region, conducting a theoretical analysis.

Previous research indicated that the air temperature in September of the same year showed

the strongest correlation with bear appearances, while beech tree yields were most strongly

correlated with the air temperature in September of the previous year. Based on this observed

evidence, we develop a mathematical model incorporating bears, beech trees, and air

temperature. When observational data and the predicted values are compared, the interannual

variations of bear sightings generally aligned, showing that the model can predict rough

estimates of bear appearances. Moreover, in Iwate and Yamagata, the abundance of beech

trees can be well explained by temperature fluctuations, and the number of bear sightings can

be accurately predicted using a model with temperature data only. In contrast, in Aomori,

Miyagi, and Akita, where the abundance of beech trees is not well explained by temperature,

a model that incorporates beech tree observation data improves the prediction of bear

appearances.