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Видовое разнообразие живого напочвенного покрова в сосновых насаждениях побережья Белого моря

Authors: Kovrigina, A. A.; Tretyakov, S. V.; Paramonov, A. A.;

Видовое разнообразие живого напочвенного покрова в сосновых насаждениях побережья Белого моря

Abstract

В статье представлены результаты исследования видового разнообразия растений живого напочвенного покрова, в том числе лекарственных, в сосновых насаждениях, произрастающих на побережье Белого моря в Приморском районе Архангельской области. Первый участок располагается на острове Ягры и представлен смешанным сосново-березово-осиновым средневозрастным насаждением типа леса сосняк черничный. Встречается 14 видов растений, которые были объединены по группам. В группе «Кустарнички» доминантном является брусника обыкновенная Vaccinium vitisidaea L., коэффициент встречаемости 0,65. Два других участка, № 2 и № 3, находятся в непосредственной близости к СНТ «Зеленый бор» и относятся к молоднякам. На участке № 2 встречается 18 видов растений напочвенного покрова, на участке № 3 – 14 видов. Так как они примыкают к песчаным пляжам, их можно отнести к соснякам дюнным, довольно редким в условиях Европейского Севера. Вычисленный коэффициент сходства Жаккара для этих участков равняется 0,52 и показывает высокое совпадение видового состава. Видовой состав сосняка черничного и сосняка дюнного значительно отличается, коэффициент сходства Жаккара составляет 0,16–0,18. Для насаждений, примыкающих к населенным пунктам и часто посещаемых населением, характерно, наряду с лесными, присутствие злаков и других видов сорной растительности. В исследуемых насаждениях встречаются типичные для побережья Белого моря и островных территорий виды, например, дерен шведский (Cornus suecica L.). Проведенные исследования повышают точность оценки видового состава живого напочвенного покрова сосновых насаждений, в том числе пищевых и лекарственных ресурсов на побережье Белого моря. The article presents research results of species diversity in the living ground cover plants, including medicinal ones in pine plantings, growing on the White Sea coast in the Primorsky district of the Arkhangelsk region, Russia. The fi rst research area is located on the island of Yagry and represented by a mixed pine-birch-aspen middle-aged planting of the bilberry-pine forest type. There are 14 plant species, which were combined into groups. In the group «Subshrubs» the dominant plant species is cowberry (Vaccinium vitis-idaea L.), its occurrence coeffi cient is 0,65. Two other research areas № 2 and № 3 are located in close proximity to the GNP “Green Forest” settlement and belong to young forests. There are 18 species of the ground cover plants on the research area № 2 and 14 species on the research area № 3. Being adjacent to sandy beaches, they can be classifi ed as dune pine forests, which are quite rare in the conditions of the European North. The calculated Jaccard similarity coeffi cient for these areas is 0,52 and shows a high coincidence of species composition. The species composition of the bilberry pine forest and the dune pine forest differs signifi cantly, the Jaccard similarity coeffi cient is 0,16–0,18. Plantings adjacent to settlements and frequently visited by population are characterized by the presence of cereals and other types of weeds along with forest species. The researched plantings contain species typical to the White Sea coast and island territories, for example, Swedish Turf (Cornus suecica L.). The conducted researches increase the species composition on the living ground cover of pine plantings assessment accuracy, including food and medicinal resources on the White Sea coast.

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Keywords

SPECIES DIVERSITY, ВИДОВОЕ РАЗНООБРАЗИЕ, ЖИВОЙ НАПОЧВЕННЫЙ ПОКРОВ, MEDICINAL PLANTS, LIVING GROUND COVER, ЛЕКАРСТВЕННЫЕ РАСТЕНИЯ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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