Biodiversity Mapping of Regional Forest Ecosystems by Remote Sensing

2022 Fiscal Year Final Research Report

• Project/Area Number: 20H03014
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 39070:Landscape science-related
• Research Institution: Keio University
• Principal Investigator: ICHINOSE Tomohiro 慶應義塾大学, 環境情報学部(藤沢), 教授 (90316042)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: 鳥類 / 地上徘徊性甲虫 / モニタリングサイト1000 / 航空LiDAR / ドローン

Outline of Final Research Achievements

This study aimed to map the biodiversity of forest ecosystems on a broad scale using remote sensing. A model was constructed using the distribution data of birds and ground beetles in forests accumulated in the 1000 monitoring sites by the Ministry of the Environment as the objective variable and environmental factors as the dependent variable.
We analyzed 434 sites for birds and 30 sites for ground beetles. Thirty sites of ground beetles were classified into three major groups: Hokkaido, Honshu, and Okinawa/Amami Islands. Honshu was further divided into two groups, with elevation and mean temperature influencing the classification. For birds, aerial LiDAR and other remote sensing data were useful for understanding the nesting habitat of raptors and the Daurian Redstart.

Free Research Field

景観生態学

Academic Significance and Societal Importance of the Research Achievements

2022年12月のCOP15において新たな生物多様性目標が採択されたが、生物多様性のモニタリングは最も基盤となる情報である。陸域と海域の30％を保全する30by30では、多様な主体による自然共生サイトの増加が期待されており、簡便なモニタリングの必要性が高まっている。日本全国で行われているモニタリングサイト1000のデータを活用した本研究の成果は、異なる生態系、分類群にも応用できる。