Issue |
E3S Web Conf.
Volume 291, 2021
IV International Scientific and Practical Conference “Sustainable Development and Green Growth on the Innovation Management Platform” (SDGG 2021)
|
|
---|---|---|
Article Number | 01003 | |
Number of page(s) | 5 | |
Section | Creation of Regional Infrastructure for Sustainable Development of Social Production | |
DOI | https://doi.org/10.1051/e3sconf/202129101003 | |
Published online | 19 July 2021 |
Comparative analysis of the state of Pinus sylvestris L. and Pinus koraiensis Siebold et Zucc. in the Vladivostok agglomeration
1 Primorskaya State Academy of Agriculture Forestry Institute, 44 Bluhera st., 692510 Ussuriisk, Russian Federation
2 Far Eastern Federal University FEFU, School of Education, Department of natural science education Ajax 10, 690922 Vladivostok, Russia
The paper analyzes the growth of Pinus sylvestris L. and Pinus koraiensis Siebold et Zucc. Bonitet, age, diameter and height, density and resources were determined on 11 sample plots. The analysis of the state of artificial plantations of pinus koraiensis and pinus sylvestris, planted from 1954 to 1980, indicates their low preservation, which after 25-40 years, depending on the location of the research object, decreases to 14-25%, which confirms the need for expanding and reconstruction of green areas of the cities of the “Big Vladivostok”. The main reasons for the decline in the preservation of plantations are forest fires and unauthorized felling.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.