九州大学-研究者情報 [野下浩司 (助教) 理学研究院生物科学部門]

野下浩司（のしたこうじ）

データ更新日：2023.06.16

助教　／　理学研究院生物科学部門

著書

1.	農業情報学会, 新スマート農業 : 進化する農業情報利用, 農林統計出版, 総ページ数：xxiv, 500p, 2019.05.
2.	Yuichi Kano, Jason Hon, Khairulazman Sulaiman Mohd Khairulazman Sulaiman, Mitsuhiro Aizu, Koji Noshita, Hiromitsu Samejima, Stream Fish Biodiversity and the Effects of Plantations in the Bintulu Region, Sarawak, Springer International Publishing, 10.1007/978-981-13-7513-2_13, 235-274, 2020.01, [URL], The biodiversity of stream-dwelling fish and the effects of oil palm and acacia plantations on this biodiversity were evaluated by field research conducted in the Bintulu region of central Sarawak, Malaysia. A quantitative survey was conducted at 61 locations by electrofishing. These 61 locations included 16 sites in oil palm plantations, five sites in acacia plantations, four sites in local community-protected forests (called pulau or pulau galau by local communities) and 36 sites in natural forests. The protected forests had the highest species richness (average ± standard deviation: 9.3 ± 2.6) followed by natural forests (7.4 ± 3.1). The species richness of oil palm (3.3 ± 1.9) and acacia (4.0 ± 1.9) plantations was approximately half that of protected and secondary forests. Cluster analysis suggests that the fish fauna was largely divided into two main groups: the plantation group and the forest group. Statistical analysis by a generalised linear model also suggests that plantations have a negative impact on fish diversity as species richness, the number of individuals and Shannon’s diversity index were all negatively affected by both oil palm and acacia plantations. The models included topographical parameters, such as slope and altitude, but the effect of plantations was much stronger than the effects of these parameters, indicating that there was no spurious relationship between plantations and fish communities. In this chapter, we evaluate the negative effect of plantations on fish biodiversity. The mechanisms by which plantations affect fish biodiversity need to be investigated in the future..
3.	野下浩司，田村光平, 幾何学的形態測定学とRを使った解析例 in 文化進化の考古学（中尾央，松木武彦，三中信宏編）, 勁草書房, 2017.08.
4.	Sasaki, T., Maekawa, Y., Takeda, Y., Atsushiba, M., Chen, C., Noshita, K., Uesugi, K. and Hoshino, M., 3D Visualization of Calcified and Non-calcified Molluscan Tissues Using Computed Tomography. in Biomineralization, Springer, Singapore, 10.1007/978-981-13-1002-7_9, pp. 83-93., 2018.10.

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pure2017年10月2日から、「九州大学研究者情報」を補完するデータベースとして、Elsevier社の「Pure」による研究業績の公開を開始しました。

　

QIR　九州大学学術情報リポジトリシステム情報科学研究院

理学部・理学研究院