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- Title
Syntaxonomy and ecology of mesophilous scrub vegetation in Tajikistan (Middle Asia).
- Authors
Świerszcz, Sebastian; Nobis, Marcin; Nowak, Sylwia; Kotowski, Marcin; Klichowska, Ewelina; Nobis, Agnieszka; Nowak, Arkadiusz
- Abstract
Aims: In this paper we propose the first syntaxonomic classification for the mesophilous scrub vegetation in Tajikistan with some remarks on their environmental variability. Methods: Altogether 120 relevés were sampled using the standard, seven-degree cover-abundance scale of Braun-Blanquet, in 2015-2021. They were classified by the modified TWINSPAN method using the four step interval scale with cutoff levels of 0%, 2%, 5% and 10% and total inertia as a measure of cluster heterogeneity. Diagnostic species were identified using the phi coefficient as a fidelity measure. Detrended Correspondence Analysis (DCA) was used to determine the relationship between the sampled plots, vegetation units and major gradients in species composition. Results: Plant communities known so far as šhiblyak and including xeric and mesophilic shrublands seral or marginal to broad-leaved forests in the nemoral zone of the Irano-Turanian region are described herein. Numerical analyses of vegetation data allowed distinguishing five associations representing the Ranunculo tenuilobi-Cotoneasterion hissarici alliance. The new associations include: Eremuro comosi-Rhuidetum coriariae, Calophacetum grandiflorae, Fraxinetum raibocarpae, Pruno sogdianae-Crataegetum turkestanicae, Aflatunio ulmifoliae-Caraganetum turkestanicae. For the latter association, two habitat variants (with Ferula clematidifolia and Malus sieversii) are proposed. The main factors determining the species composition of the studied vegetation include: elevation, mean annual temperature and sum of annual precipitation. Conclusions: The research results herein presented fill the gap in knowledge about the shrubland vegetation of Tajikistan. Studies in neighbouring countries and a focus on subalpine scrubs in dry habitats are needed to complete the classification of shrubland vegetation of Middle Asia.
- Subjects
TAJIKISTAN; VEGETATION classification; SHRUBLANDS; NUMERICAL analysis; PLANT communities; FERULA; DATA analysis
- Publication
Phytocoenologia, 2022, Vol 51, Issue 2, p177
- ISSN
0340-269X
- Publication type
Article
- DOI
10.1127/phyto/2022/0395