DANIELS, Fred, Johannes G. DE MOLENAAR, Milan CHYTRÝ and Lubomír TICHÝ. Vegetation change in Southeast Greenland? Tasiilaq revisited after 40 years. Applied Vegetation Science. Oxford: Wiley-Blackwell, 2011, vol. 14, No 2, p. 230-241. ISSN 1402-2001. Available from: https://dx.doi.org/10.1111/j.1654-109X.2010.01107.x.
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Basic information
Original name Vegetation change in Southeast Greenland? Tasiilaq revisited after 40 years
Authors DANIELS, Fred (276 Germany), Johannes G. DE MOLENAAR (528 Netherlands), Milan CHYTRÝ (203 Czech Republic, guarantor, belonging to the institution) and Lubomír TICHÝ (203 Czech Republic, belonging to the institution).
Edition Applied Vegetation Science, Oxford, Wiley-Blackwell, 2011, 1402-2001.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10600 1.6 Biological sciences
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW Fulltext on Wiley Online Library
Impact factor Impact factor: 1.678
RIV identification code RIV/00216224:14310/11:00054652
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1111/j.1654-109X.2010.01107.x
UT WoS 000287863600009
Keywords in English Climate change; Low-Arctic tundra; Monitoring; Multivariate analysis; Phytosociology; Plant communities; Species richness
Tags AKR, rivok
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Milan Chytrý, Ph.D., učo 871. Changed: 3/4/2015 15:27.
Abstract
Questions: Are there changes in species composition of the oceanic, Low-Arctic tundra vegetation after 40 years? Can possible changes be attributed to climate change? Location: Ammassalik Island near Tasiilaq, Southeast Greenland. Methods: Species composition and cover of 11 key vegetation types were recorded in 110 vegetation survey plots in 1968–1969 and in 11 permanent plots in 1981. Recording was repeated in 2007. Temporal changes in species composition and cover between the surveys were tested using permutation tests linked with constrained ordinations for vegetation types, and Mann–Whitney tests for individual species. Changes in vegetation were related to climate change. Results: Although climate became warmer over the studied period, most of the vegetation types showed minor changes. The changes were most conspicuous in mire and snowbed vegetation, such as the Carex rariflora mire and Hylocomium splendens snowbed. In the C. rariflora mire, species number and cover of vascular plants and cover of bryophytes increased, whereas in the H. splendens snowbed species numbers of vascular plants, bryophytes, and also lichens increased. Lichen richness increased in the Carex bigelowii snowbed and cover of bryophytes in the Salix herbacea snowbed. No such changes occurred in the Alchemilla glomerulans meadow, Alchemilla alpina snowbed and Phyllodoce coerulea heath. There was no change of species composition within the Salix glauca scrub, A. alpina snowbed, lichen grassland and the Empetrum nigrum and Phyllodoce coerulea heaths. Most changes resulted from increasing frequency or cover of some species; there were very few decreasing species. Most of the increasing species indicate drier substrate conditions. Conclusions: Only minor changes in species composition and cover were detected in the vegetation types studied. These changes were probably caused by milder winters and warmer summers during the years before the 2007 sampling. Climate warming may have reduced the duration of snow cover and soil moisture, particularly in snowbed and mire habitats, where species composition change was most pronounced. However, its magnitude was insufficient to cause a major change in species composition. Thus, on the level of plant community types, tundra vegetation near Tasiilaq was rather stable over the last 40 years.
Links
MSM0021622416, plan (intention)Name: Diverzita biotických společenstev a populací: kauzální analýza variability v prostoru a čase
Investor: Ministry of Education, Youth and Sports of the CR, Diversity of Biotic Communities and Populations: Causal Analysis of variation in space and time
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