The Examination of Cost-effective Weeding Schedules Using Monte Carlo Simulation:-Reference-Cited by-同舟云学术

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The Examination of Cost-effective Weeding Schedules Using Monte Carlo Simulation:

Published:2020-02-01 Issue:1 Volume:102 Page:38-43
ISSN:1349-8509
Container-title:Journal of the Japanese Forest Society
language:en
Short-container-title:J. Jpn. For. Soc.

Author:

Fukumoto Keiko¹,Ota Tetsuji²,Mizoue Nobuya³,Yoshida Shigejiro³,Teraoka Yukio⁴,Kajisa Tsuyoshi⁴,Nishizono Tomohiro¹,Hosoda Kazuo¹

Affiliation:

1. Forestry and Forest Products Research Institute, Forest Research and Management Organization

2. Institute of Decision Science for a Sustainable Society, Kyushu University

3. Faculty of Agriculture, Kyushu University

4. Faculty of Agriculture, Kagoshima University

Publisher

The Japanese Forest Society

Link

https://www.jstage.jst.go.jp/article/jjfs/102/1/102_38/_pdf

Reference6 articles.

1. Fukumoto K, Ota T, Mizoue N, Yoshida S, Teraoka Y, Kajisa T (2017) The effect of weeding frequency and timing on the height growth of young sugi (Cryptomeria japonica) in southwestern Japan. J For Res 22: 204-207

2. Fukumoto K, Ota T, Mizoue N, Yoshida S, Teraoka Y, Kajisa T (2019) The effect of weeding frequency and schedule on weeding operation time: a simulation study on a sugi (Cryptomeria japonica) plantation in Japan. J Forestry Res (in press)

3. Peters G (2018) _userfriendlyscience: Quantitative analysis made accessible_. doi: 10.17605/osf.io/txequ (URL: http://doi.org/10.17605/osf.io/txequ), R package version 0.7.1, <URL: https://userfriendlyscience.com >.

4. R Core Team (2018) R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. URL: http://www.R-project.org/

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