J 2014

Vegetation diversity of mesic grasslands (Arrhenatheretalia) in the Iberian Peninsula

RODRÍGUEZ-ROJO, Maria Pilar, Federico FERNÁNDEZ-GONZÁLEZ, Lubomír TICHÝ a Milan CHYTRÝ

Základní údaje

Originální název

Vegetation diversity of mesic grasslands (Arrhenatheretalia) in the Iberian Peninsula

Autoři

RODRÍGUEZ-ROJO, Maria Pilar (724 Španělsko), Federico FERNÁNDEZ-GONZÁLEZ (724 Španělsko), Lubomír TICHÝ (203 Česká republika, domácí) a Milan CHYTRÝ (203 Česká republika, garant, domácí)

Vydání

Applied Vegetation Science, Wiley, 2014, 1402-2001

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10600 1.6 Biological sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 2.548

Kód RIV

RIV/00216224:14310/14:00074420

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000342839200018

Klíčová slova anglicky

Classification; Cocktail method; Europe; Hay meadows; Pastures; Phytosociology; Vegetation databases

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 13. 3. 2018 10:49, Mgr. Lucie Jarošová, DiS.

Anotace

V originále

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.

Návaznosti

GAP505/11/0732, projekt VaV
Název: Zobecněná řízená klasifikace v ekologii společenstev
Investor: Grantová agentura ČR, Generalized supervised classification in community ecology
GB14-36079G, projekt VaV
Název: Centrum analýzy a syntézy rostlinné diverzity (PLADIAS) (Akronym: PLADIAS)
Investor: Grantová agentura ČR, Centrum analýzy a syntézy rostlinné diverzity