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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Applied Vegetation S...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Vegetation Science
Article . 2015 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Sub‐alpine and alpine grassland communities in the northeastern Greater Caucasus of Azerbaijan

Authors: Jonathan Etzold; Franziska Münzner; Michael Manthey;

Sub‐alpine and alpine grassland communities in the northeastern Greater Caucasus of Azerbaijan

Abstract

AbstractQuestionsWhich are the main sub‐alpine and alpine grassland communities in the northeastern Greater Caucasus of Azerbaijan and what are their environmental and anthropogenic drivers?LocationGrasslands at 1800 and 3500 m a.s.l. on northern macroslope of the Greater Caucasus in Azerbaijan near Shahdag Mt.MethodsWe established a randomized sampling design with stratification by geomorphology and altitude and validation using remote sensing data. The vegetation survey on 194 relevés in a nested plot design of up to 100 m² encompassed examiniation of various site conditions. We applied cluster and indicator species analysis for vegetation classification, and indirect multivariate ordination to assess vegetation–environment relationships.ResultsWe classified 13 unranked communities in two sub‐alpine groups and one alpine group, plus the very distinct vegetation around camp sites of semi‐nomadic herders. Important drivers for vegetation differentiation are altitude as proxy for temperature, latitude as proxy for orographically founded differences in bedrock and precipitation, aspect, soil factors, such as content of organic matter and variables connected to land‐use types and intensity (e.g. pasturing vs hay meadows, browsing tracks). In consequence, also effects on species richness are detectable. Furthermore, we found only partial concordance of our communities with existing vegetation classifications in the Greater Caucasus.ConclusionsA state‐of‐the‐art classification and ordination of regional high‐mountain grassland communities and their environmental drivers fills a gap in knowledge about this vegetation. It is widely unknown to international audience and remained almost unstudied during the last 25 yr, when severe shifts in land use remarkably changed the natural conditions. The study can help to identify problems in current grassland management and their consequences for biodiversity conservation. Desirable changes towards sustainable grassland utilization require combined socio‐ecological assessments beforehand.

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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!
8
Top 10%
Average
Average
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