Rchr
J-GLOBAL ID：201801008814633585   Update date: Mar. 22, 2024

Shuntaro Watanabe

Shuntaro Watanabe
Affiliation and department：
Kagoshima University

About Kagoshima University


Research field  (3)： Forest science ,  Environmental dynamics ,  Ecology and environmental science
Research keywords  (1)： Plant Ecology
Research theme for competitive and other funds  (3)：
  • 2023 - 2026 シカ生息域照葉樹林のレジームシフト解析と植生動態解析による生物多様性保全の研究
  • 2021 - 2024 同時開花植物の花色のバラツキを左右する機構の解明
  • 2018 - 2023 Classifying vegetation using deep learning: clarification of characteristics of vegetation
Papers (18)：
  • Yuri Maesako, Shuntaro Watanabe, Yudai Ogawa. Factors influencing the distribution of Pteris wallichiana J. Agardh (Pteridaceae) in Kasugayama Primeval Forest , Nara Prefecture, Japan. Vegetation Science. 2023. 40. 1. 1-7
  • Shuntaro Watanabe, Muneo Matsuda, Chikako Ohtsuka. Natural History of Musashino Minamisawa (IV): Origin of Hybrids of the Genus Phoxinus in the Ochiai River and Changes in the Ecosystem by Domestic Invasive Fishes. Bulletin of Jiyu Gakuen College of Liberal Arts. 2023. 8. 1. 17-29
  • Masanori Onishi, Shuntaro Watanabe, Tadashi Nakashima, Takeshi Ise. Practicality and Robustness of Tree Species Identification Using UAV RGB Image and Deep Learning in Temperate Forest in Japan. Remote Sensing. 2022. 14. 7. 1710-1710
  • Shuntaro Watanabe, Yuri Maesako. Co-occurrence pattern of congeneric tree species provides conflicting evidence for competition relatedness hypothesis. PeerJ. 2021. 9. e12150-e12150
  • Shuntaro Watanabe, Kazuaki Sumi, Takeshi Ise. Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests. BMC Ecology. 2020. 20. 1
ｍore...
MISC (8)：
  • Shuntaro Watanabe, Takeshi Ise. Applications of image recognition technology for biodiversity monitoring. Image Laboratory. 2021. 32. 1. 45-50
  • 渡部俊太郎, 伊勢武史, 伊勢武史. 畳み込みニューラルネットワークによる航空写真中の植生識別とその応用. 日本生態学会大会講演要旨(Web). 2019. 66th
  • 渡部俊太郎, 角和暁, 伊勢武史, 伊勢武史. 畳み込みニューラルネットワークによる航空写真中の植生識別とその応用. 日本地球惑星科学連合大会予稿集(Web). 2019. 2019
  • 伊勢武史, 伊勢武史, 渡部俊太郎. ビッグデータで植物の季節変化を解明する. 日本生態学会大会講演要旨(Web). 2018. 65th
  • 渡部俊太郎, 角和暁, 伊勢武史, 伊勢武史. 深層学習による衛星画像からの樹種識別とその応用-竹林での試み-. 日本生態学会大会講演要旨(Web). 2018. 65th
ｍore...
Books (1)：
  • 植物の超階層生物学 : ゲノミクス×フェノミクス×生態学でひもとく多様性
    文一総合出版 2023 ISBN:9784829962107
Association Membership(s) (2)：
THE SOCIETY FOR THE STUDY OF SPECIES BIOLOGY ,  THE ECOLOGICAL SOCIETY OF JAPAN
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