RODRÍGUEZ-ROJO, Maria Pilar, Federico FERNÁNDEZ-GONZÁLEZ, Lubomír TICHÝ and Milan CHYTRÝ. Vegetation diversity of mesic grasslands (Arrhenatheretalia) in the Iberian Peninsula. Applied Vegetation Science. Wiley, 2014, vol. 17, No 4, p. 780-796. ISSN 1402-2001. Available from: https://dx.doi.org/10.1111/avsc.12118.
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Basic information
Original name Vegetation diversity of mesic grasslands (Arrhenatheretalia) in the Iberian Peninsula
Authors RODRÍGUEZ-ROJO, Maria Pilar (724 Spain), Federico FERNÁNDEZ-GONZÁLEZ (724 Spain), Lubomír TICHÝ (203 Czech Republic, belonging to the institution) and Milan CHYTRÝ (203 Czech Republic, guarantor, belonging to the institution).
Edition Applied Vegetation Science, Wiley, 2014, 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 States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.548
RIV identification code RIV/00216224:14310/14:00074420
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1111/avsc.12118
UT WoS 000342839200018
Keywords in English Classification; Cocktail method; Europe; Hay meadows; Pastures; Phytosociology; Vegetation databases
Tags AKR, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Lucie Jarošová, DiS., učo 205746. Changed: 13/3/2018 10:49.
Abstract
Questions: What is the diversity and main vegetation types in mesic grasslands on the Iberian Peninsula? What are the main diagnostic species of each type? What are the main environmental gradients that drive patterns of species composition? To what extent does biogeography influence community diversity? Location: Iberian Peninsula (Portugal and Spain, including the French Pyrenees). Methods: Formal definitions based on the Cocktail method were used to establish a typology of mesic grasslands of the Arrhenatheretalia order. This method was applied to a stratified data set of 3485 relevés, also including other types of perennial grassland. Semi-supervised classification based on the K-means algorithm was used to assign almost 757 relevés into the vegetation types defined by Cocktail and to identify new ones. The types were compared by means of detrended correspondence analysis (DCA) using climate data, altitude and Ellenberg indicator values as explanatory variables. Results: Fourteen ecologically well-defined associations were distinguished in the Arrhenatheretalia order: five in the Arrhenatherion alliance, two in Triseto-Polygonion and seven in Cynosurion. Soil reaction, summer aridity and altitude were identified as the most important determinants of species composition. These lithological and bioclimatic gradients are related to the biogeographic diversity of the study area, which is the main driver of community diversity in Arrhenatheretalia grasslands; it is more important than the management practices expressed in the concept of alliances. The classification and ordination analyses also showed a clear differentiation in community diversity according to biogeographic sectors (eastern Cantabrian-Atlantic, Galician-Portuguese, Carpetan-Leonese, Pyrenean, Orocantabrian/western Pyrenean and Oroiberian/Catalan-Valencian). In addition, moisture and nutrient content were more important than altitude in differentiating Arrhenatherion and Triseto-Polygonion communities in the Pyrenees. Conclusions: We suggest a simplification of the traditional classification of the Iberian Arrhenatheretalia grasslands. For this revised classification, we propose an electronic expert system with consistent rules for assigning vegetation observations to the associations defined, and a list of the diagnostic species of each vegetation type. These results can be applied to identify and monitor the hay meadows included in Annex I of the European Habitats Directive, taking into account the biogeographic context of the indicator species.
Links
GAP505/11/0732, research and development projectName: Zobecněná řízená klasifikace v ekologii společenstev
Investor: Czech Science Foundation
GB14-36079G, research and development projectName: Centrum analýzy a syntézy rostlinné diverzity (PLADIAS) (Acronym: PLADIAS)
Investor: Czech Science Foundation
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