Context-dependence of diagnostic species: A case study of the central european spruce forests

Chytrý, Milan; Exner, Andreas; Hrivnák, Richard; Ujházy, Karol; Valachovič, Milan; Willner, Wolfgang

doi:10.1007/bf02803255

Cited by 36 publications

(28 citation statements)

References 12 publications

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“…Chytrý et al. ; Willner et al. ) and can vary between 1, when the species is present in all relevés from the given vegetation unit and absent in all other relevés, to −1 when the species is absent from all relevés from the given vegetation unit and present in all other relevés.…”

Section: Methodsmentioning

confidence: 99%

The right relevé in the right vegetation unit: a new typicality index to reproduce expert judgement with an automatic classification programme

Gégout

Coudun²

2011

J Vegetation Science

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Question How to classify forest vegetation relevés automatically in the traditional phytosociological system and thus distinguish typical relevés – easier to classify – from relevés with non‐diagnostic species and intermediate relevés? Material A data set of 11 324 forest vegetation relevés, including 4880 relevés classified a priori by experts in phytosociology down to the association level (100 associations in 30 alliances and ten classes, covering all forest vegetation and environmental conditions encountered in France). Methods A new typicality index was formalized to quantify the probability of automatically classifying a given relevé in the same vegetation unit as would do an expert in phytosociology. Computation of the typicality index is based on two parameters: a level of affinity linked to the number of diagnostic species of the vegetation unit present in the relevé, and a level of differentiation that is greater when the risk of confusion in classification of the relevé between different units is smaller. Results The automatic classification was identical to expert judgement for 60% of the 4080 calibration relevés. The typicality index isolated atypical relevés that are more difficult to classify. The model was successfully transferred to classify an independent data set of 6444 relevés from the French National Forest Inventory performed in 2008 and to distinguish 1114 (17%) typical relevés of phytosociological associations. Conclusions Interest in this new typicality index is manifold. It is: (1) operational for the current phytosociological system that forms the basis of the Natura 2000 system; (2) easy to implement from characteristics of species and communities; and (3) based on criteria of uncertainty used by phytosociological experts. This study establishes a clear bridge between recent works on collecting, storing and analysing vegetation relevés, on one hand, and the traditional phytosociological approach, on the other. It should trigger further studies on the spatial and temporal distribution of European habitats.

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Section: Methodsmentioning

confidence: 99%

The right relevé in the right vegetation unit: a new typicality index to reproduce expert judgement with an automatic classification programme

Gégout

Coudun²

2011

J Vegetation Science

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“…Plant communities in the study area were classified as Calamagrostio villosae-Piceetum and Athyrio alpestris-Piceetum (Neuhäus-lová and Eltsova, 2003), which belong to the Central-European spruce forest group (Chytrý et al, 2002). The dominant species in the herb layer correspond with the diagnostic species of spruce forests in the Bohemian Massif (Chytrý et al, 2002;Svoboda, 2003a;Svoboda et al, 2006). The area is mainly covered with Lithic Leptosols, Hyperskeletic Leptosols (Humic and Dystric) and Dystric Cambisols (Kopáček et al, 2002;Svoboda, 2003b).…”

Section: Study Sitementioning

confidence: 99%

Structure of a Central-European mountain spruce old-growth forest with respect to historical development

Svoboda

Pouska

2008

Forest Ecology and Management

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“…Often these patterns are scale-dependent, showing stronger edaphic effects at finer scales, and stronger geographic distinctions at broader scales (Chytrý et al 2002;Kuželová & Chytrý 2004). However, for many wide-scale data sets, edaphic, local topoclimatic, and geographical factors can have comparable importance and interact in complex ways to form a vegetation pattern (Bergmeier & Dimopoulos 2001;Knollová & Chytrý 2004).…”

Section: Introductionmentioning

confidence: 97%

Floristic composition and spatial distribution assessment of montane mesophilous grasslands in the central Apennines, Italy: A multi-scale and diachronic approach

Catorci

Gatti

2010

Plant Biosystems - An International Journal Dealing with all As

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Evaluation of past land use offers valuable information in seeking to understand the distribution patterns of plant communities, insofar as such activity may have altered soil features, causing anthropogenic soil patchiness and marked plant diversity both locally and regionally. This study sought to provide a general overview of the relationships between the different syntaxonomical units and the soil features in a sub-Mediterranean grassland landscape, starting from assessment of soil parameters. In addition, we wanted to verify whether soil features and hierarchical landscape assessments of grasslands under homogeneous grazing disturbance are sufficient to explain the floristic differentiation of the plant communities, and whether study of land use history helps explain the distribution patterns of these plant communities. A clear understanding of the relationships between environmental factors and the floristic composition of plant communities is a strong basis for future inquiries into how disturbance variations (grazing, mowing, manuring, etc.) and past land use variations have affected grassland structures. This study examined nine syntaxa that develop on semi-flat slopes or those with northern exposure.

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Context-dependence of diagnostic species: A case study of the central european spruce forests

Cited by 36 publications

References 12 publications

The right relevé in the right vegetation unit: a new typicality index to reproduce expert judgement with an automatic classification programme

The right relevé in the right vegetation unit: a new typicality index to reproduce expert judgement with an automatic classification programme

Structure of a Central-European mountain spruce old-growth forest with respect to historical development

Floristic composition and spatial distribution assessment of montane mesophilous grasslands in the central Apennines, Italy: A multi-scale and diachronic approach

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