Classification of Molinia meadows in Poland using a hierarchical expert system

Swacha, Grzegorz; Kącki, Zygmunt; Załuski, Tomasz

doi:10.1127/phyto/2016/0094

Cited by 13 publications

(18 citation statements)

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“…It has been well recognized that not every vegetation plot can be classified by the formalized classification approach [51,52]. Indicator species of the alliance Molinion [50] were well represented in both groups that matched and that did not match the formal definition of the alliance Molinion (Fig. S1).…”

Section: Statisticsmentioning

confidence: 92%

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A performance comparison of sampling methods in the assessment of species composition patterns and environment–vegetation relationships in species-rich grasslands

et al. 2017

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The influence that different sampling methods have on the results and the interpretation of vegetation analysis has been much debated, but little is yet known about how the spatial arrangement of samples affect patterns of species composition and environment-vegetation relationships within the same vegetation type. We compared three data sets of the same sample size obtained by three standard sampling methods: preferential, random, and systematic. These different sampling methods were applied to a study area comprising of 36 ha of intermittently wet Molinia meadows. We compared the performance of the three methods under two management categories: managed (extensively mown) and unmanaged (abandoned for 10 years). A total of 285 vegetation-plots were sampled, with 95 plots recorded per sampling method. In preferential sampling, we sampled only patches of vegetation with an abundance of indicator species of the habitat type, while random and systematic plots were positioned independently from the researcher by using GIS. The effect of each sampling method on the patterns of species composition and species-environment relationships was explored by redundancy analysis and the significance of effects was tested by the randomization test. Preferential sampling revealed different patterns of species composition than random and systematic sampling methods. Random and systematic sampling methods have resulted in broader vegetation variability than with preferential sampling method. Preferential sampling revealed different relationship between soil parameters and species composition in contrast to random and systematic sampling methods. Although we have not found significant differences in vegetation-environment relationships between random and systematic sampling methods, random sampling revealed a more robust correlation of species data to soil factors than preferential and systematic sampling methods. Intentional restriction of vegetation variation sampled preferentially may be detrimental to statistical inference in studies of species composition patterns and vegetation-environment relationships.

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Section: Statisticsmentioning

confidence: 92%

“…A formalized plot-based classification using the expert system for Molinion meadows [50] was applied to assess whether all plots represented the same vegetation type (the alliance Molinion). Application of an expert system revealed that 86% of all vegetationplots matched the formal definition.…”

Section: Statisticsmentioning

confidence: 99%

A performance comparison of sampling methods in the assessment of species composition patterns and environment–vegetation relationships in species-rich grasslands

et al. 2017

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“…The fi rst one consists of A. angulosum and G. boreale. These species, although classifi ed by the different units of their natural habitats (Załuski, 2011;Szwacha, Kącki & Załuski, 2016), often coexist in transitional patches between these two habitats, which occurred in the area from which the diaspores were taken. Similar humidity conditions are the deciding factor in that case.…”

Section: Resultsmentioning

confidence: 99%

The analysis of the traits determining the development of some plant species typical for the meadow habitats of the Natura 2000 network

Janicka

Pawluśkiewicz

Małuszyńska

2019

Przegląd Naukowy Inżynieria I Kształtowanie Środowiska

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The aim of this study was to determine the traits in peculiar species which most influence their survivability during early growth and development. Eight representative plant species typical for four non-afforested habitats of river valleys were tested. The results showed that for the restoration of natural habitats, the following species are best suited: Allium angulosum (Cnidion dubii, 6440) due to its good seed germination capacity and fast growth rate of its seedlings; Galium boreale (Molinion, 6410) due to the fast growth rate of its seedlings; Tragopogon pratensis (Arrhenatherion elatioris, 6510) due to its large seeds, good seed germination capacity and fast growth rate of its seedlings; regarding to tested species of Festuco-Brometea (6210), the obtained results do not give a definite answer.

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“…We are particularly happy that a first contribution in the article category "Review and Synthesis", which we newly launched in 2016, was already published in the same year: den Hartog (2016) provides a global overview on our knowledge on sea-grass communities, a fascinating vegetation type that occurs in shallow waters of all oceans, and translates this in a comprehensive syntaxonomic scheme. The Supplements S5 of Stupar et al (2016) and S4 of Swacha et al (2016) are good examples of how plant community types derived in a classification can be made much more tangible to our readers by detailed and beautiful photographs. We hope that such longer supplements become standard in the future, but we also encourage our authors to use our option of presenting one or two photo plates in the printed article, depending on its length.…”

Section: Outstanding Papers In Phytocoenologia 2016mentioning

confidence: 99%

Phytocoenologia: the leading journal with a focus on vegetation classification

Dengler¹,

Bergmeier²,

Jansen³

et al. 2017

phyto

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This annual Editorial of 2017 summarizes the developments of the journal Phytocoenologia in the two years following its relaunch in 2015. Both the Editorial Team and the topics and regions of publications are very diverse. Starting with 2015, Impact Factors and CiteScores profoundly improved compared to the previous years, which, together with some other measures, has rendered Phytocoenologia an increasingly attractive publication venue. Narrowing the scope of Phytocoenologia explicitly down to "vegetation survey and classification" was arguably one of the cornerstones of recent success. The bibliometric analyses have also allowed us to demonstrate that both in absolute numbers and with regard to the proportion of such papers, Phytocoenologia can now be considered the leading journal in the field of vegetation classification worldwide. The citation network of Phytocoenologia includes a wide array of journals, although many remain to be covered in the Web of Science, to the bibliometric disadvantage of Phytocoenologia. We shortly present the four Editors' Choice articles of 2016 and a selection of some other outstanding contributions of that volume. The Editors' Award 2016 goes to Rui B. Elias and colleagues for their combination of vegetation classification and distribution modelling to derive a map of the natural vegetation of the Azores. In conclusion, the Editors aim to provide a service to vegetation ecologists worldwide by maintaining and further improving the qualities of Phytocoenologia.

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Classification of Molinia meadows in Poland using a hierarchical expert system

Cited by 13 publications

References 0 publications

A performance comparison of sampling methods in the assessment of species composition patterns and environment–vegetation relationships in species-rich grasslands

A performance comparison of sampling methods in the assessment of species composition patterns and environment–vegetation relationships in species-rich grasslands

The analysis of the traits determining the development of some plant species typical for the meadow habitats of the Natura 2000 network

Phytocoenologia: the leading journal with a focus on vegetation classification

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