Classification of semi-natural mesic grasslands in the Ukrainian Carpathians

Zajac, M.; Ujházy, Karol; Škodová, Iveta; Куземко, Анна; Borsukevych, Ljubov; Danylyuk, Kateryna; Duchoň, Mário; Figura, Tomáš; Кіш, Р.; Smatanová, Janka; Turis, Peter; Turisová, Ingrid; Uhliarová, E.; Janišová, Monika

doi:10.1127/phyto/2016/0104

Cited by 8 publications

(8 citation statements)

References 24 publications

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“…A (hasonló honos fajoktól eltérően évelő) nö-vény április-májusban, virágzáskor feltűnő, később a gyepszőnyegben szinte eltűnik. Az ukrajnai Kárpátok rétjein meghonosodott (Zajac et al 2016), a terü-letre bizonyára onnan érkezett. 1700.…”

Section: Enumerációunclassified

Chorological, ecological and taxonomic notes on the vascular flora of Hungary III

Király¹,

Király²

2018

Botanikai Közlemények

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BevezetésA magyarországi edényes fl óra kutatása az 1990-es évek eleje óta meglehetősen aktív fázisában van, ezt bizonyítják a sokasodó fl orisztikai dolgozatok és egyes nagyobb (nem feltétlenül csak a fl orisztikára szorítkozó) összegzések. Utóbbiak (a legjelentősebbek Farkas 1999, Király 2009, Molnár 2011 szerepe nem csak a nagy tömegű adat összegyűjtésében és rendszerezésében jelentős, hanem egyben ráirányítják a fi gyelmet a kevéssé ismert fajokra, fajcsoportokra, illetve a hiányosan ismert fl órájú tájakra.

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Section: Enumerációunclassified

Chorological, ecological and taxonomic notes on the vascular flora of Hungary III

Király¹,

Király²

2018

Botanikai Közlemények

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“…; Zajac et al. ), Ukraine (Kuzemko ) and the Iberian Peninsula (Rodríguez‐Rojo et al. ), but a European revision is still lacking.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, large-scale classifications of mesic grasslands have been performed in the NW Balkan Peninsula ( Silc et al 2014), the Carpathians (Rozbrojov a et al 2010;Zajac et al 2016), Ukraine (Kuzemko 2016) and the Iberian Peninsula (Rodr ıguez-Rojo et al 2014), but a European revision is still lacking. Since mesic meadows and pastures are very widespread and diverse across Central and Northwest Europe, only a continental-scale critical revision can produce consistent syntaxonomical delimitation.…”

Section: Introductionmentioning

confidence: 99%

Diversity of lowland hay meadows and pastures in Western and Central Europe

Rodríguez-Rojo

Jíménez-Alfaro

Jandt

et al. 2017

Applied Vegetation Science

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Questions Which are the main vegetation types of lowland hay meadows and pastures in Western and Central Europe? What are the main environmental gradients that drive patterns of species composition? Is it possible to classify these grasslands to phytosociological alliances that reflect management practices? Location Western and Central Europe (excluding the Alps and Carpathians). Methods A database of 21 400 vegetation plots of mesic grasslands across Western and Central Europe was compiled. After geographically stratified resampling, semi‐supervised classification based on the K‐means algorithm was applied to assign a subset of plots into 32 a priori association‐level vegetation types and to search for new types within the subset of non‐assigned plots. The vegetation plots assigned into the final vegetation types were submitted to another K‐means classification to show the grouping into higher‐level vegetation types. Results A total of 36 associations were distinguished in the resampled subset of 8277 vegetation plots and were grouped into four large groups: (1) eutrophic and intensively managed hay meadows and permanent pastures; (2) nutrient‐rich grasslands developed from recently abandoned fields or managed under irregular practices of mowing and manuring; (3) non‐eutrophic lowland and submontane hay meadows; (4) extensively managed pastures and Atlantic grazed hay meadows. A PCoA of the associations of these four groups showed that extensively managed pastures were floristically more similar to non‐eutrophic hay meadows than to permanent intensively managed pastures, which was more obvious in the Atlantic region than in Central Europe. Species composition of the lowland hay meadows was clearly differentiated according to biogeographic sectors. Other floristic differences were related to climate, altitude, soil base status and topography. Conclusions This analysis challenges the traditional concept of mesic grassland alliances separating hay meadows from pastures. New classification should be based mainly on the differences in management intensity rather than in management practice. Consequently, nutrient‐poor extensive pastures, which currently are not considered in the European Habitats Directive, should receive the same conservation attention as low‐intensive hay meadows, because both types of vegetation can be equally species‐rich and do not differ substantially in floristic composition from each other.

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“…This Special Issue includes four classification studies on natural and semi-natural grasslands. Two of the studies (Zajac et al 2016 andDajić et al 2016) are supra-national syntaxonomic revisions, one (Kuzemko 2016) is a national revision, while the final study (Nowak et al 2016) describes grass steppes of a still under-investigated region (Pamir Alai Mts. in Tajikistan), thus filling an important knowledge gap on the grassland vegetation of Middle Asia.…”

Section: Introduction To the Articles Of The Special Issuementioning

confidence: 99%

“…The included studies deal with phytosociological material from ten countries (Bulgaria, Hungary, Kosovo, Macedonia, Poland, Romania, Serbia, Slovakia, Tajikistan, Ukraine), ordered to six phytosociological classes (Astragalo-Brometea, Cleistogenetea squarrosi, Festuco-Puccinellietea, Molinio-Arrhenatheretea, Nardetea strictae, Thero-Salicornietea). Two studies (Dajić et al 2016 andNowak et al 2016) use unsupervised hierarchical clustering, while the other two (Kuzemko 2016 andZajac et al 2016) use supervised classification by expert systems developed on the Cocktail definitions (Bruelheide 2000). A semi-supervised classification (Tichý et al 2014) by K-means algorithm was used by Zajac et al (2016) to apply the classification system developed in one country (Slovakia) for identification of syntaxa in less explored areas of a neighbouring country (Ukraine).…”

Section: Introduction To the Articles Of The Special Issuementioning

confidence: 99%

Classification of Palaearctic grasslands

Janišová¹,

Dengler²,

Willner³

2016

phyto

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Along with a brief introduction to the four research articles of the Special Issue "Classification of Palaearctic grasslands", we present a bibliometric analysis of publication trends regarding classification of Palaearctic grasslands in journals included in the Web of Science database. Regional studies (covering only a part of a country's territory) prevailed (51%), but supra-national studies were more numerous (34%) than national overviews (15%). Four European countries (Austria, the Czech Republic, Italy and Slovakia) were included in the highest number of grassland classification studies (12 each). The publication of grassland classification studies in Web of Science journals continuously increased during the last 15 years. Festuco-Brometea and Molinio-Arrhenatheretea were the most frequently studied grassland classes. Phytocoenologia and Tuexenia were the most popular outlets for original grassland classification studies, while Journal of Vegetation Science had a leading position in publishing methodological articles with relation to grassland vegetation. Methods of unsupervised hierarchical classification were most common in grassland classification studies. Publications outside the Web of Science were not analysed although they represent an important source of knowledge in grassland classification.

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Classification of semi-natural mesic grasslands in the Ukrainian Carpathians

Cited by 8 publications

References 24 publications

Chorological, ecological and taxonomic notes on the vascular flora of Hungary III

Chorological, ecological and taxonomic notes on the vascular flora of Hungary III

Diversity of lowland hay meadows and pastures in Western and Central Europe

Classification of Palaearctic grasslands

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