RUSSIAN JOURNAL OF FOREST SCIENCE, 2020, No. 2, 135–146


CRITERIA SYSTEM DEVELOPMENT FOR PLANT ASSOCIATIONS IN ORDER TO CREATEA REGIONAL GREEN BOOK OF THE ROSTOV OBLAST
T. A. Sokolova
Institute of Arid Zones Southern Scientific Center RAS,
Chehova st. 41, 344006 Rostov-on-Don, Russia
E-mail: sta1562@yandex.ru


Received 17 May 2016
The natural forests of Rostov Oblast were studied, including black alder, oak, elm, birch, aspen and other forests. Vegetation communities were described using the Braun-Blanquet method, distinguishing 6 classes (Carpino–Fagetea, Quercetea pubescentis, Alno glutinosae–Populetea albae, Alnetea glutinosae, Salicetea purpureae and Crataego–Prunetea), 7 unions (Scillo sibericae–Quercion roboris, Aceri tatarici–Quercion, Alnion incanae, Alnion glutinosae, Salicion albae, Berberidion vulgaris, Prunion fruticosae) and 18 associations, 9 subassociations and more than 40 variances, as well as 10 non-ranked communities. An assessment of nature conservation significance was carried out on association-subassociation level and for non-ranked communities. As a result, maximum points of conservation categories (30-35) were assigned to the old oak forests: thermophilic – subass. A. t.–Q. violetosum odoratae, ass. Chamaecytiso ruthenici–Quercetum roboris, mesophytic — ass. Fraxino excelsioris–Quercetum roboris (including the subassociations), hygro-mesophytic — ass. Filipendulo ulmariae–Quercetum roboris. As for the black alder forests — ass. Aceri tatarici–Alnetum glutinosae, subass. typicum, subass. A. t.–A. g. platantheretosum bifoliae, ass. Thelypterido palustris–Alnetum glutinosae and ass. Carici elongatae–Alnetum glutinosae. Most part of the territories, covered by those forests currently has no special nature conservation policy. However, those syntaxons contain nearly 70% of rare plant species from the Red Book of the Rostov Oblast. These communities, without any doubt, should be listed as rare and requiring conservation measures.
Keywords: criteria set, Green book, natural forests, Rostov Oblast.
Acknowledgement: The publication was prepared within the framework of State Assignment for SSC RAS realization, Project No. AAAA-A19-119011190176-7.
DOI: 10.31857/S0024114820010143


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