E3S Web Conf.
Volume 208, 2020First Conference on Sustainable Development: Industrial Future of Territories (IFT 2020)
|Number of page(s)||5|
|Section||Management of Sustainable Development of Territories|
|Published online||24 November 2020|
The study of changes in the land fund balance to manage the sustainable spatial development of the developed and developing territories in Russia
Moscow state University of geodesy and cartography, Gorokhovsky per., 4, 105064 Mosсow, Russia
* Corresponding author: firstname.lastname@example.org
The analysis of changes in the land fund balance reflects the implementation of the scientific paradigm – “minimum initial information - maximum valid generalizations”. Active indicators, namely the shares of different types of land in the composition of certain land categories from the total area of a certain land category should be a priority. In 2011-2017, the share of settlement lands in the total land fund in the Russian Federation increased from 1.15% to 1.19%, industrial and other special-purpose lands - from 0.99% to 1.02%, which corresponds to modern Russian ideas about the spatial, but extensive, development of territories. The rate of change in the shares of different lands from the area of lands of different categories, %/year, is proposed to use an integrating estimated indicator for the spatial development of territories. The share of agricultural lands in the Russian Federation was increasing in the composition of settlement and industrial lands at a rate of 0.03%/year, which indicates their degradation. The share of forest lands decreased in the composition of industrial lands (-0.09%/ year). These lands served as a “source” of new farming lands for agricultural lands. In the settlement and industrial lands, the share of building land was increasing (0.06%/year), while the share of land under roads was decreasing (from -0.03 to -0.05%/year) due to their unbalanced development. Disturbed lands also need their intensive reclamation.
© The Authors, published by EDP Sciences, 2020
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.