The role of an altitudinal zonal basis and remote sensing data in sustainable management of the mountain forests

Описание

Тип публикации: статья из журнала

Год издания: 2020

Идентификатор DOI: 10.31857/S0024114820010106

Ключевые слова: comptexes of forest types by attitudinal zftnes, foresi cover classification, mountain forests, remote sensing, seasonal functioning, thermal cbannets of terra/modis

Аннотация: This study was performed To prove the necessity for the enhancement of principles of natural basis utilization for the ecosystem-focused forest management in mountainous conditions, using all the collected knowledge, regional data bases and the new remote sensing facilities. The results of using of the spectral features of the vegeПоказать полностьюtation for studying the altitudinal dilferenciation of forest cover while also employing the thermal sensing, were shown on the example of the Altai-Sayan mountain region. Thus, in the Yenisei pari of the Sayans forest- steppe, subtaiga, light coni lerous-sm all-leaved-deciduo us forest, mountain dark coniferous, mountain taiga and subalpine classes of altitudinal zones can be defined. For each of those separate systems of forest management should be employed, with taking into account natural features of those forests and their management purpose. A relevant task for the mountain forestry and the multipurpose forest use in general is the enhancement of the ecological and geographical basis and its cartographic realization in middle-scale maps, reflecting not only the formational composition of forest cover, but also the altitudinal ecosystems classes. Modern satellite systems, in coupled with GlS-technologies open new possibilities for the forest cover inventory, monitoring and study methods. It allows us to start implementing a qualitative natural basis into forest management practices, that is currently highly relevant on all levels of forest planning from single forest plot exploitation projects to the forest plans of the Russian Federation subjects. © 2020, Izdatel'stvo Nauka. All rights reserved.

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Издание

Журнал: Russian Journal of Forest Science

Выпуск журнала: Vol. 2020, Is. 1

Номера страниц: 3-16

ISSN журнала: 00241148

Издатель: Izdatel'stvo Nauka

Персоны

  • Nazimova D.I. (Sukachev Institute of Ihe Foresi SB RAS, Akademgorvdok, 50. hid. 28, Krasnoyarsk, 660036, Russian Federation)
  • Ponomarev E.I. (Sukachev Institute of Ihe Foresi SB RAS, Akademgorvdok, 50. hid. 28, Krasnoyarsk, 660036, Russian Federation, Siberian Federal University, Svobodny prospect, 79, Krasnoyarsk, 660041, Russian Federation)
  • Konovalova M.E. (Sukachev Institute of Ihe Foresi SB RAS, Akademgorvdok, 50. hid. 28, Krasnoyarsk, 660036, Russian Federation)

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