Open Access Open Access  Restricted Access Subscription Access

Development of A Simulation System for Analyzing and Estimating Profitable Forestry Biological Resources Based on The Geographic And Ecosystem Big Data Covering Large Scale

Yuichi Yamazaki, Tiwari Sachin, Tohru Nakajima

Abstract



The purpose of this study was to determine forestry profitability under various conditions relating to local timber harvest activities throughout Japanese country scale. For this, we collected data for parameters such as slope, distance to road network, depth of snowfall, and deer habitat distribution. Based on these data, included in geographic information system (GIS), we estimated the soil expectation value (SEV) for the whole of Japan divided into 10 m grid squares by combining simulation systems developed for previous studies.

The results showed that Japanese timber production is most profitable in the Hokkaido and Kyushu regions. Additionally, at present, prefectures in Kyushu account for a high proportion of Japan’s timber supply. Finally, in the future, it is expected that Hokkaido and Tohoku may be able to supply more timber than at present.

Keywords


Big Data analysis, forestry profitability, geographic Big Data, Japanese planted forests, timber production,

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. Journal never mentioned that we have DOI number. However, to get free DOI, author can register your work which published with Zonodo (https://zenodo.org/signup/). We have no objection for this open access repository.