The effect of weeding frequency and schedule on weeding operation time: a simulation study on a sugi (Cryptomeria japonica) plantation in Japan

Fukumoto, Keiko; Ota, Tetsuji; Mizoue, Nobuya; Yoshida, Shigejiro; Teraoka, Yukio; Kajisa, Tsuyoshi

doi:10.1007/s11676-019-01017-5

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…Recently, conifer plantations have matured in Japan, and it is now necessary to consider management of old trees (Miyamoto 2015). Moreover, we need to reduce management costs to improve revenue for forest owners (Fukumoto et al 2017(Fukumoto et al , 2020b(Fukumoto et al , 2021Sakai et al 2019). While promising, our models do not yet address some of the problems currently experienced in the Japanese forestry industry, and further refinement is required to adapt the yield growth models for non-standard treatments.…”

Section: R a F Tmentioning

confidence: 99%

Individual-level distance-independent-based growth and yield prediction models for long-term Japanese cedar (Cryptomeria japonica)

2022

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Yield prediction has been determined to be vital in sustainable forest management. Recently, research trends have shifted from stand-level to individual-level yield prediction. In this study, we examined the effectiveness of yield prediction models based on a distance-independent approach for Japanese cedar (Cryptomeria japonica (L.f.) D.Don) trees in western Japan. We further examined the accuracy of the models with reference to existing data collected over the long-term. First, we constructed distance-independent height, diameter growth, and survival models. Then, we simulated for approximately 50 years individual tree height, diameter at breast height (DBH), and volume growth using the test data. We then compared the predicted and observed values and calculated root-mean-square error (RMSE) and bias to evaluate the model accuracy. The models were noted to perform well when predicting mean height, DBH, and volume for Japanese cedar trees; in fact, they adequately predicted the diameter distribution. Our results suggest that distance-independent models could adequately predict long-term mean values and diameter distribution. However, RMSE and bias indicated that error propagation occurred over longer time spans. Thus, it is effective to conduct actual measurements at some point in the forest development phase and use the measurements as initial values for short- or medium-term predictions.

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Section: R a F Tmentioning

confidence: 99%

Individual-level distance-independent-based growth and yield prediction models for long-term Japanese cedar (Cryptomeria japonica)

2022

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Growth and survival of hybrid larch F1 (Larix gmelinii var. japonica × L. kaempferi) and Japanese larch under various intensities of competition

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

et al. 2020

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1 (2020) The Examination of Cost-effective Weeding Schedules Using Monte Carlo Simulation: A Case Study of the Sugi (Cryptomeria japonica) Stand in Takakuma Experimental Forest of Kagoshima University. J Jpn For Soc 102: 38-43 This study identified the cost-effective weeding schedules for reducing weeding cost. First, we used a Monte Carlo method to simulate 7-year-old sugi (Cryptomeria Japonica) mean height and cumulative weeding operation time under different combinations of weeding timing and frequency from 0 to 6 times after planting. Then, we calculated operation time per sugi mean height to express cost-effectiveness. Moreover, to evaluate the stability of the cost-effectiveness, we calculated coefficient of variation for sugi mean height, cumulative operation time and operation time per sugi height. Each coefficient of variation was lower when weeding frequency was equal to or more than three times. The operation time per sugi height decreased when weeding was conducted in the first or second year after planting. We conclude that the threetreatment weeding frequency including the first-or second-year weeding is more effective weeding for the reduction of weeding costs.

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The effect of weeding frequency and schedule on weeding operation time: a simulation study on a sugi (Cryptomeria japonica) plantation in Japan

Cited by 4 publications

References 13 publications

Individual-level distance-independent-based growth and yield prediction models for long-term Japanese cedar (Cryptomeria japonica)

Individual-level distance-independent-based growth and yield prediction models for long-term Japanese cedar (Cryptomeria japonica)

Growth and survival of hybrid larch F1 (Larix gmelinii var. japonica × L. kaempferi) and Japanese larch under various intensities of competition

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

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