Patterns of Natural Regeneration of Alien Species of Woody Plants in Novosibirsk View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-07

AUTHORS

L. N. Chindyaeva, A. P. Belanova, T. I. Kiseleva

ABSTRACT

For the first time on the territory of the big Siberian city of Novosibirsk in the arboretums, gardens, parks, and residential areas, 91 species of woody plants of different geographical origin, which naturally produce seed and vegetative progeny, have been recorded. It has been found that 44% of species in the city also grow in the natural conditions of the Russian Far East and countries of Southeast Asia, 33% are of North American origin, and 23% are European and Eurasian range types. Most of the alien species (45%) have vegetative regeneration, 34% of species are self-seeding, and 21% of species have seed and vegetative regeneration. By the character of natural regeneration in the urban environment, there are three groups of alien species: species that actively regenerate by seed and also have vegetative regeneration and spread over landscape objects and outside of them (Acer negundo, Amelanchier spicata, A. alnifolia, Elaeagnus commutata, Euonymus europea, Fraxinus pennsylvanica, Prunus pensylvanica, Physocarpus opulifolius, Ulmus laevis, and others), species that have vegetative regeneration and increase the area of growth through formation of clump-clones (Amorpha fruticosa, Menispermum dauricum, Parthenocissus quenquefolia, P. inserta, Rosa rugosa, Rubus odoratus, Symphorycarpos albus, Syringa vulgaris, Swida sericea, Vitis amurensis), and those that regenerate and remain for a long time in the sites of planting without increase in the area (Acer platanoides, Eleutherococcus senticosus, E. sessiliflorus, Deutzia parviflora, Syringa josikaea, S. wolfii). More... »

PAGES

273-285

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s2075111718030025

DOI

http://dx.doi.org/10.1134/s2075111718030025

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107380683


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