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Supplementary material 8 from: Dengler J, Jansen F, Chusova O, Hüllbusch E, Nobis MP, Van Meerbeek K, Axmanová I, Bruun HH, Chytrý M, Guarino R, Karrer G, Moeys K, Raus T, Steinbauer MJ, Tichý L, Tyler T, Batsatsashvili K, Bita-Nicolae C, Didukh Y, Diekmann M, Englisch T, Fernández-Pascual E, Frank D, Graf U, Hájek M, Jelaska SD, Jiménez-Alfaro B, Julve P, Nakhutsrishvili G, Ozinga WA, Ruprecht E-K, Šilc U, Theurillat J-P, Gillet F (2023) Ecological Indicator Values for Europe (EIVE) 1.0. Vegetation Classification and Survey 4: 7-29. https://doi.org/10.3897/VCS.98324

Dengler, Jürgen ; Jansen, Florian ; Chusova, Olha ; [et al.]

Pensoft Publishers ; 2023

In: Vegetation Classification and Survey Vol. 4 ( 2023-01-13), p. 7-29

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In: Vegetation Classification and Survey, Pensoft Publishers, Vol. 4 ( 2023-01-13), p. 7-29

Abstract: Aims : To develop a consistent ecological indicator value system for Europe for five of the main plant niche dimensions: soil moisture (M), soil nitrogen (N), soil reaction (R), light (L) and temperature (T). Study area : Europe (and closely adjacent regions). Methods : We identified 31 indicator value systems for vascular plants in Europe that contained assessments on at least one of the five aforementioned niche dimensions. We rescaled the indicator values of each dimension to a continuous scale, in which 0 represents the minimum and 10 the maximum value present in Europe. Taxon names were harmonised to the Euro+Med Plantbase. For each of the five dimensions, we calculated European values for niche position and niche width by combining the values from the individual EIV systems. Using T values as an example, we externally validated our European indicator values against the median of bioclimatic conditions for global occurrence data of the taxa. Results : In total, we derived European indicator values of niche position and niche width for 14,835 taxa (14,714 for M, 13,748 for N, 14,254 for R, 14,054 for L, 14,496 for T). Relating the obtained values for temperature niche position to the bioclimatic data of species yielded a higher correlation than any of the original EIV systems ( r = 0.859). The database : The newly developed Ecological Indicator Values for Europe (EIVE) 1.0, together with all source systems, is available in a flexible, harmonised open access database. Conclusions : EIVE is the most comprehensive ecological indicator value system for European vascular plants to date. The uniform interval scales for niche position and niche width provide new possibilities for ecological and macroecological analyses of vegetation patterns. The developed workflow and documentation will facilitate the future release of updated and expanded versions of EIVE, which may for example include the addition of further taxonomic groups, additional niche dimensions, external validation or regionalisation. Abbreviations : EIV = Ecological indicator value; EIVE = Ecological Indicator Values for Europe; EVA = European Vegetation Archive; GBIF = Global Biodiversity Information Facility; i = index for taxa; j = index for EIV systems; L = ecological indicator for light; M = ecological indicator for moisture; N = ecological indicator for nitrogen availability; R = ecological indicator for reaction; T = ecological indicator for temperature.

Type of Medium: Online Resource

ISSN: 2683-0671

URL: Article

DOI: 10.3897/VCS.98324

DOI: 10.3897/VCS.98324.figure1

DOI: 10.3897/VCS.98324.figure2

DOI: 10.3897/VCS.98324.figure3

DOI: 10.3897/VCS.98324.figure4

DOI: 10.3897/VCS.98324.figure5

DOI: 10.3897/VCS.98324.suppl1

DOI: 10.3897/VCS.98324.suppl2

DOI: 10.3897/VCS.98324.suppl3

DOI: 10.3897/VCS.98324.suppl4

DOI: 10.3897/VCS.98324.suppl5

DOI: 10.3897/VCS.98324.suppl6

DOI: 10.3897/VCS.98324.suppl7

DOI: 10.3897/VCS.98324.suppl8

Language: Unknown

Publisher: Pensoft Publishers

Publication Date: 2023

detail.hit.zdb_id: 3025473-5

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Figure 5 from: Novotný P, Brůna J, Chytrý M, Kalčík V, Kaplan Z, Kebert T, Rohn M, Řezníčková M, Štech M, Wild J (2022) Pladias platform: Technical description of the database structure. Biodiversity Data Journal 10: e80167. https://doi.org/10.3897/BDJ.10.e80167

Novotný, Petr ; Brůna, Josef ; Chytrý, Milan ; [et al.]

Pensoft Publishers ; 2022

In: Biodiversity Data Journal Vol. 10 ( 2022-04-01)

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In: Biodiversity Data Journal, Pensoft Publishers, Vol. 10 ( 2022-04-01)

Abstract: Digitising and aggregating local floristic data is a critical step in the study of biodiversity. The integrative web-based platform Pladias, designed to cover a wide range of data on vascular plants, was recently developed in the Czech Republic. The combination of occurrence data with species characteristics opens many opportunities for data analysis and synthesis. This article describes the relational structure of the Pladias database service (PladiasDB) and the context of the platform architecture. The structure is relatively complex, as our goal was to cover: (i) species occurrence records, including their management, validation and export of revised species distribution maps, (ii) data on species characteristics with quality control tools using defined data types and (iii) separate user interfaces (UI) for professionals and the general public. We discuss the approaches chosen to model individual elements in PladiasDB and summarise the experience gained during the first five years of operation of the Pladias platform.

Type of Medium: Online Resource

ISSN: 1314-2828 , 1314-2836

URL: Article

DOI: 10.3897/BDJ.10.e80167

DOI: 10.3897/BDJ.10.e80167.figure1

DOI: 10.3897/BDJ.10.e80167.figure2

DOI: 10.3897/BDJ.10.e80167.figure3

DOI: 10.3897/BDJ.10.e80167.figure4

DOI: 10.3897/BDJ.10.e80167.figure5

Language: Unknown

Publisher: Pensoft Publishers

Publication Date: 2022

detail.hit.zdb_id: 2736709-5

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Bookreviews

Šmilauer, Petr ; Chytrý, Milan ; Jarošík, Vojtěch

Springer Science and Business Media LLC ; 2001

In: Folia Geobotanica Vol. 36, No. 3 ( 2001-9), p. 333-336

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In: Folia Geobotanica, Springer Science and Business Media LLC, Vol. 36, No. 3 ( 2001-9), p. 333-336

Type of Medium: Online Resource

ISSN: 1211-9520 , 1874-9348

URL: Article

DOI: 10.1007/BF02803185

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2001

detail.hit.zdb_id: 212912-7

detail.hit.zdb_id: 212913-9

detail.hit.zdb_id: 2047713-2

detail.hit.zdb_id: 1430387-5

SSG: 12

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Supplementary material 1 from: Cubino JP, Těšitel J, Fibich P, Lepš J, Chytrý M (2022) Alien plants tend to occur in species-poor communities. NeoBiota 73: 39-56. https://doi.org/10.3897/neobiota.73.79696

Cubino, Josep Padullés ; Těšitel, Jakub ; Fibich, Pavel ; [et al.]

Pensoft Publishers ; 2022

In: NeoBiota Vol. 73 ( 2022-05-05), p. 39-56

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In: NeoBiota, Pensoft Publishers, Vol. 73 ( 2022-05-05), p. 39-56

Abstract: Invasive alien species can have severe negative impacts on natural ecosystems. These impacts may be particularly pronounced within ecological communities, where alien species can cause local extinctions. However, it is unclear whether individual alien plant species consistently occur in species-poor or species-rich communities across broad geographical scales and whether this pattern differs amongst habitat types. Using ~17,000 vegetation plots sampled across the Czech Republic, we calculated the median, range and skewness of the distribution in community species richness associated with 73 naturalised alien plant species. We compared the observed values with those obtained under a null expectation to test whether alien species occurred at random with respect to species richness in forest and grassland communities. We found that the relationship between the occurrence of alien species and the diversity of local plant communities was species-dependent and varied across habitats. Overall, however, alien species occurred in species-poor communities more often than expected by chance. These patterns were more pronounced in grasslands, where alien species also occurred in communities with a lower range of species richness than under random expectation. Our study represents one of the most comprehensive quantitative analyses relating alien plant invasion to resident community diversity at a broad geographical scale. This research also demonstrates that multi-species studies are needed to understand the processes of community assembly and to assess the impact of alien plant invasions on native diversity.

Type of Medium: Online Resource

ISSN: 1314-2488 , 1619-0033

URL: Article

DOI: 10.3897/neobiota.73.79696

DOI: 10.3897/neobiota.73.79696.suppl1

Language: Unknown

Publisher: Pensoft Publishers

Publication Date: 2022

detail.hit.zdb_id: 2628537-X

SSG: 21

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Halophytic flora and vegetation in southern Moravia and northern Lower Austria : past and present

Danihelka, Jiří ; Chytrý, Kryštof ; Harásek, Martin ; [et al.]

Czech Botanical Society ; 2022

In: Preslia Vol. 94, No. 1 ( 2022), p. 13-110

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In: Preslia, Czech Botanical Society, Vol. 94, No. 1 ( 2022), p. 13-110

Type of Medium: Online Resource

ISSN: 0032-7786

URL: Article

DOI: 10.23855/preslia.2022.013

Language: English

Publisher: Czech Botanical Society

Publication Date: 2022

detail.hit.zdb_id: 2128739-9

SSG: 12

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Natural forests of Pinus pinea in western Turkey: a priority for conservation

Bonari, Gianmaria ; Chytrý, Kryštof ; Çoban, Süleyman ; [et al.]

Springer Science and Business Media LLC ; 2020

In: Biodiversity and Conservation Vol. 29, No. 14 ( 2020-12), p. 3877-3898

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In: Biodiversity and Conservation, Springer Science and Business Media LLC, Vol. 29, No. 14 ( 2020-12), p. 3877-3898

Type of Medium: Online Resource

ISSN: 0960-3115 , 1572-9710

URL: Article

DOI: 10.1007/s10531-020-02052-z

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2020

detail.hit.zdb_id: 2000787-5

SSG: 12

SSG: 23

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Vegetation of the European mountain river gravel bars: A formalized classification

Kalníková, Veronika ; Chytrý, Kryštof ; Biţa‐Nicolae, Claudia ; [et al.]

Wiley ; 2021

In: Applied Vegetation Science Vol. 24, No. 1 ( 2021-01)

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In: Applied Vegetation Science, Wiley, Vol. 24, No. 1 ( 2021-01)

Abstract: River gravel bars are endangered habitats in Europe. However, classification schemes of their vegetation and habitat types differ among European countries, and they are even ignored in some national schemes. This causes problems in conservation planning, monitoring and management. Hence we aimed at building the first unified vegetation classification for river gravel‐bar habitats across European mountain systems. Location Europe. Methods In total 4,769 vegetation plot records of river gravel‐bar plant communities were collected from national, regional or private databases, digitized from the literature and newly collected in the field. A hierarchical classification expert system with formal definitions of vegetation types was created. The definitions combined the criteria of presence or cover of groups of species with similar ecology or single species narrowly specialized to a particular gravel‐bar habitat. The TWINSPAN classification was applied to early‐successional vegetation types to check whether the classification based on formal definitions was supported by the results of unsupervised classification. Similarity patterns among vegetation types were visualized using the detrended correspondence analysis (DCA) ordination. Results Early‐successional and scrub gravel‐bar vegetation types were respectively classified into two classes: Thlaspietea rotundifolii and Salicetea purpureae . Eleven associations and four alliances ( Calamagrostion pseudophragmitae , Epilobion fleischeri , Salicion cantabricae and Salicion eleagno‐daphnoidis ) were defined formally. Based on a critical revision, some associations or alliances defined in the previous literature were merged or discarded. The main gradient in variability within the gravel‐bar vegetation is connected with the altitudinal gradient, biogeographical variation, local hydromorphological processes and various successional changes. Conclusions The first unified and formalized classification system of the European mountain river gravel‐bar vegetation was created, and species composition, ecology and distribution of these types were characterized. The syntaxonomical nomenclature of these types was checked and revised. This study provides a base for conservation planning of these threatened and rapidly disappearing habitats.

Type of Medium: Online Resource

ISSN: 1402-2001 , 1654-109X

URL: Issue

URL: Article

DOI: 10.1111/avsc.v24.1

DOI: 10.1111/avsc.12542

Language: English

Publisher: Wiley

Publication Date: 2021

detail.hit.zdb_id: 2053083-3

SSG: 12

SSG: 23

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Weather fluctuations drive short‐term dynamics and long‐term stability in plant communities: A 25‐year study in a Central European dry grassland

Fischer, Felícia M. ; Chytrý, Kryštof ; Těšitel, Jakub ; [et al.]

Wiley ; 2020

In: Journal of Vegetation Science Vol. 31, No. 5 ( 2020-09), p. 711-721

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In: Journal of Vegetation Science, Wiley, Vol. 31, No. 5 ( 2020-09), p. 711-721

Abstract: Infrequent events of extreme drought or extreme temperatures may considerably affect the structure and functioning of vegetation. Here we investigate how fluctuations in precipitation and temperature shape year‐to‐year dynamics and plant species composition in a dry grassland community, and how this variation affects plants with different life histories. Location Dry grassland ( Festucion valesiacae ) in the Pavlov Hills, SE Czech Republic. Methods Long‐term trends in vegetation change in the grassland studied were assessed by the ordination of plot records from vegetation surveys performed between 1930 and 2019. In addition, year‐to‐year changes in vegetation were studied in seven permanent plots of 16 m 2 surveyed annually from 1993 to 2018. Variation in species composition and abundances was related to temperature and precipitation in the preceeding two springs, summers, autumns and winters using ordinations and mixed‐effect linear models. Results There were no remarkable directional changes in the grassland community over the period 1930–2019. However, during the last 25 years, the community exhibited pronounced year‐to‐year fluctuations, which depended on weather conditions in the previous two years. Species with different life histories (e.g. perennials vs. annuals) and different ecology (e.g. ruderal vs. dry‐grassland species) responded differently to specific weather patterns. Perennials were sustained by wet summers, annuals benefitted from wet springs and autumns and moderately warm and wet winters, and covers of ruderals of mixed life histories increased after dry summers. Conclusions Plant species composition in a Central European dry grassland shows remarkable year‐to‐year dynamics in response to weather patterns over the previous two years. These community changes are non‐directional and contribute to the stability of this grassland, which has not changed considerably over the past 90 years. However, increasing frequency of drought events because of ongoing climate change can result in a directional change with an expansion of ruderal species.

Type of Medium: Online Resource

ISSN: 1100-9233 , 1654-1103

URL: Issue

URL: Article

DOI: 10.1111/jvs.v31.5

DOI: 10.1111/jvs.12895

RVK:

WA 15000

Language: English

Publisher: Wiley

Publication Date: 2020

detail.hit.zdb_id: 2047714-4

detail.hit.zdb_id: 1053769-7

SSG: 12

SSG: 23

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Central European forest–steppe: An ecosystem shaped by climate, topography and disturbances

Chytrý, Kryštof ; Willner, Wolfgang ; Chytrý, Milan ; [et al.]

Wiley ; 2022

In: Journal of Biogeography Vol. 49, No. 6 ( 2022-06), p. 1006-1020

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In: Journal of Biogeography, Wiley, Vol. 49, No. 6 ( 2022-06), p. 1006-1020

Abstract: The occurrence and origin of dry grasslands and their rich biota in the moderately humid Central‐European climate have fascinated scientists for over a century. Modern palaeoecological and phylogeographical data support earlier hypotheses that these grasslands are late Pleistocene relicts and can therefore be considered part of the Eurasian forest–steppe biome. However, it is still unclear which factors fostered the maintenance of steppe patches in Central Europe throughout the Holocene. Here, we provide an overview of the main hypotheses, which stress, respectively, the effects of climate, edaphic conditions and disturbances. We then develop a general conceptual framework on how these three factors interact to form forest–steppe mosaics. We thereby emphasize the role of topography as a crucial control on forest–steppe patterns at the landscape scale. Topography is related to several mechanistic drivers that influence vegetation processes, such as near‐surface microclimate and soil formation. Consequently, topographic variation allows both forest and steppe patches to occur beyond their macroclimatic niche, favouring the development of forest–steppe mosaics. To illustrate our framework, we demonstrate the interactive effect of macroclimate and topography on the occurrence of steppe patches at 108 selected Central European forest–steppe sites. Although we developed our framework focusing on the current distribution of Central European forest–steppe, we suggest that it contributes to the understanding of similar transitions between temperate forest and steppe biomes in the past as well as elsewhere in the world.

Type of Medium: Online Resource

ISSN: 0305-0270 , 1365-2699

URL: Issue

URL: Article

DOI: 10.1111/jbi.v49.6

DOI: 10.1111/jbi.14364

Language: English

Publisher: Wiley

Publication Date: 2022

detail.hit.zdb_id: 2020428-0

detail.hit.zdb_id: 188963-1

SSG: 12

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Classification of the Mediterranean lowland to submontane pine forest vegetation

Bonari, Gianmaria ; Fernández‐González, Federico ; Çoban, Süleyman ; [et al.]

Wiley ; 2021

In: Applied Vegetation Science Vol. 24, No. 1 ( 2021-01)

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In: Applied Vegetation Science, Wiley, Vol. 24, No. 1 ( 2021-01)

Abstract: Vegetation types of Mediterranean thermophilous pine forests dominated by Pinus brutia , Pinus halepensis , Pinus pinaster and Pinus pinea were studied in various areas. However, a comprehensive formal vegetation classification of these forests based on a detailed data analysis has never been developed. Our aim is to provide the first broad‐scale classification of these pine forests based on a large data set of vegetation plots. Location Southern Europe, North Africa, Levant, Anatolia, Crimea and the Caucasus. Methods We prepared a data set of European and Mediterranean pine forest vegetation plots. We selected 7,277 plots dominated by the cold‐sensitive Mediterranean pine species Pinus brutia , Pinus halepensis , Pinus pinaster and Pinus pinea . We classified these plots using TWINSPAN, interpreted the ecologically and biogeographically homogeneous TWINSPAN clusters as alliances, and developed an expert system for automatic vegetation classification at the class, order and alliance levels. Results We described Pinetea halepensis as a new class for the Mediterranean lowland to submontane pine forests, included in the existing Pinetalia halepensis order, and distinguished 12 alliances of native thermophilous pine forests, including four newly described and three informal groups merging supposedly native stands and old‐established plantations. The main gradients in species composition reflect elevational vegetation belts and the west–east, and partly north–south, biogeographical differences. Both temperature and precipitation seasonality co‐vary with these gradients. Conclusions We provide the first formal classification at the order and alliance levels for all the Mediterranean thermophilous pine forests based on vegetation‐plot data. This classification includes traditional syntaxa, which have been critically revised, and a new class and four new alliances. We also outline a methodological workflow that might be useful for other vegetation classification syntheses. The expert system, which is jointly based on pine dominance and species composition, is a tool for applying this classification in research and nature conservation survey, monitoring and management.

Type of Medium: Online Resource

ISSN: 1402-2001 , 1654-109X

URL: Issue

URL: Article

DOI: 10.1111/avsc.v24.1

DOI: 10.1111/avsc.12544

Language: English

Publisher: Wiley

Publication Date: 2021

detail.hit.zdb_id: 2053083-3

SSG: 12

SSG: 23

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