Rchr
J-GLOBAL ID:201301077377625505
Update date: Oct. 25, 2024
Hiroshi Okamura
オカムラ ヒロシ | Hiroshi Okamura
Affiliation and department:
Job title:
Professor
Homepage URL (1):
https://sites.google.com/site/hiroshiokamura/home
Research field (1):
Aquaculture
Research keywords (8):
データサイエンス
, 生物統計学
, 水産資源学
, 数理モデル
, 目視
, 海洋資源
, 海洋生態
, 海洋保全
Research theme for competitive and other funds (7):
- 2019 - 2022 Elucidation of impacts of climate changes on spatio-temporal distributions of marine animals using machine learning approaches
- 2014 - 2020 Development of new generation's harvest control rule with management strategy evaluation
- 2014 - 2017 Lunar spawning rhythms of small pelagic species - Verification and utilization for stock assessment survey
- 2012 - 2017 海洋生態学と機械学習法の融合によるデータ不足下の生態系評価手法の開発
- 2012 - 2015 Modelling vertical migration patterns of wild animals
- 2009 - 2011 Use of top predator information for developing fishery CPUE analysis and reconstructing historical changes in marine ecosystem
- 2007 - 2008 Precise abundance estimation method by cetacean sighting surveys
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Papers (76):
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Hiroshi Okamura, Shoko Morita, Hiroshi Kuroda. Forecasting fish recruitment using machine learning methods: A case study of arabesque greenling. Fisheries Research. 2024. 278. 107096-107096
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Y Kanaji, H Sasaki, T Hakamada, H Okamura. Hierarchical modelling approach to estimate the abundance of data-limited cetacean species and its application to fishery-targeted and rarely seen delphinid species off Japan. ICES Journal of Marine Science. 2023. 80. 6. 1643-1657
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Okamura Hiroshi. Towards sustainable use of fishery resources: maximum sustainable yield and biometrics. Japanese Journal of Biometrics. 2023. 43. 2. 189-230
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Mitsuyo Miyagawa, Hiroshi Okamura, Momoko Ichinokawa. Which fisheries and biological factors affect the misclassification of stock status determined by data-limited methods?. Fisheries Research. 2023. 257. 106491-106491
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Yuki Hongo, Shota Nishijima, Yuki Kanamori, Shuhei Sawayama, Kazuki Yokouchi, Natsuki Kanda, Shiori Oori, Yasuyuki Uto, Mitsuhiro Ishii, Hisanori Mita, et al. Fish environmental DNA in Tokyo Bay: A feasibility study on the availability of environmental DNA for fisheries. Regional Studies in Marine Science. 2021. 47
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MISC (42):
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宮川光代, 岡村寛, 市野川桃子. データリミテッドな方法を用いた資源評価に影響を及ぼす要因. 日本水産学会大会講演要旨集(CD-ROM). 2021. 2021
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Hiroshi Okamura, Momoko Ichinokawa, Ray Hilborn. Evaluating a harvest control rule to improve the sustainability of Japanese fisheries. 2020
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宮川光代, 岡村寛. Stock assessment method for cases where catch data is only available. 黒潮の資源海洋研究. 2020. 21
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岡村寛, 長田穣, 西嶋翔太. 頑健な再生産関係の推定. 水産海洋学会研究発表大会講演要旨集. 2020. 2020 (CD-ROM)
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中山新一朗, 市野川桃子, 岡村寛, 高須賀明典, 高須賀明典. マイワシとカタクチイワシの個体群動態の原因解明. 研究のうごき(Web). 2019. 17
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Books (2):
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乱獲 : 漁業資源の今とこれから
東海大学出版部 2015 ISBN:9784486020806
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海産哺乳類の調査と評価
日本鯨類研究所 2002
Work history (7):
Awards (3):
- 2017 - 日本水産学会水産学進歩賞
- 2009 - 第5回若手農林水産研究者表彰
- 2009 - 第6回日本計量生物学会奨励賞
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