78 results on '"Čarni, A."'
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2. Determination of forest communities on the basis of small plots (microplots) within the geomorphologically diverse landscape of the Kras plateau (Italy, Slovenia)
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Aljaž Jakob, Mateja Breg Valjavec, and Andraž Čarni
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Doline ,Expert system ,Forest ,Karst ,k-means ,Refugium ,Ecology ,QH540-549.5 - Abstract
The article deals with forest communities that develop on small surfaces on steep gradients of the geomorphologically diverse landscape of the Kras plateau. They appear in small depressions called dolines, where a steep gradient of ecological conditions appears over a small spatial scale. We tried to detect the turnover of forest communities on this small scale and steep gradient with small plots (microplots) of 4 m2 arranged in a continuous transect. We sampled only the ground layer and estimated the cover of each vascular plant species. The main problem was that we could not sample vegetation plots in standard sizes, which would allow a standard classification procedure. We built an expert system based on all of the relevant standard vegetation plots from the region and applied this system on a microplot matrix. We classified one third of microplots in this way, but the remainder were classified by semi-supervised k-means clustering. We thus established 8 communities that appear in dolines and compared their characteristics and ecological conditions by Ellenberg indicator values. Our results show that oak-hornbeam forests can be found in the bottom of dolines. Towards the bottom of deeper dolines, mesophilous ravine forests dominated by sycamore on rocky places, and sessile oak forests on deeper soils appear. On lower slopes, thermophilous ravine forests dominated by limes appear on rocky places. Upper slopes are dominated by Turkey oak, hophornbeam-pubescent oak forests and shrub formations. Turkey oak forests can be found on rather deeper soils than hophornbeam-pubescent oak forests. At the top, hophornbeam-pubescent oak forests can be found that build the zonal vegetation of the region. On rock walls vegetation of rock crevices can be found. The high biodiversity of the region supports the idea that diverse karstic features might have the potential for formation of refugia in future foreseen climate change, related to the potential of karstic relief to create diverse climatic conditions.
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- 2025
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3. Estimation of missing Ellenberg Indicator Values for tree species in South-eastern Europe: a comparison of methods
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Letizia Leccese, Giuliano Fanelli, Vito Emanuele Cambria, Marco Massimi, Fabio Attorre, Marco Alfò, Svetlana Aćić, Erwin Bergmeier, Andraž Čarni, Mirjana Cuk, Renata Custerevska, Panayotis Dimopoulos, Petrit Hoda, Alfred Mullaj, Urban Šilc, Zeljko Skvorc, Zvjezdana Stancic, Zora Dajic Stevanovic, Rossen Tzonev, Kiril Vassilev, Luca Malatesta, and Michele De Sanctis
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Vegetation ecology ,Plant indicators ,Vegetation databases ,Biodiversity informatics ,Bioindication ,Missing values ,Ecology ,QH540-549.5 - Abstract
Ellenberg indicator values (EIV) are widely used in vegetation ecology, but the values for many species in Southeastern Europe are not available due to incomplete knowledge of their ecology: it is therefore of paramount importance to estimate missing values in existing databases. The entire EIV set for a single species can be missing or a single EIV can be missing for species for which other indicator values are available. Our aim here is to provide a simple method to impute missing values for species who have missing data in a single or multiple EIV. For this purpose, we adopt a multiple imputation procedure and compare a number of imputation methods on the basis of two datasets: i) “indices”, the set of 9 Ellenberg indicators taken from literature, available for 10,824 species and ii) “vegetation”, a set describing the physical and climatic characteristics (Light, Temperature, Continentality, Soil moisture, Nitrogen, Soil pH, Hemeroby index, Humidity, Organic_matter) of 29,935 relevés from Southeastern Europe where at least one tree species is present. The imputation methods we considered are: k-Nearest Neighbour, multiple linear regression (with or without collinearity correction), Reprediction Algorithm, Weighted Averaging (WA) and Weighted Averaging Partial Least Squares (WAPLS) regression. The different methods of imputation were compared by looking at the output produced and its deviation from the “true” observed values for a set of species with known EIVs. We have considered a set of species with known EIVs and proceeded to multiple imputation using the methods above; as a measure of performance we adopted the mean squared error (MSE) estimate, and expert judgement of ecological consistency. Models based on Regression and k-Nearest Neighbour seem to outperform the others. On the contrary, Reprediction algorithm in its different forms: produced less satisfactory results.Imputation of missing values is generally based on expert knowledge or on some variant of weighted averaging (also known as Hill’s method). Here we show that other methods may be more effective and should be appropriately considered by vegetation scientists, since those may allow the application of EIVs in other biogeographic regions.
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- 2024
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4. Landform-vegetation units in karstic depressions (dolines) evaluated by indicator plant species and Ellenberg indicator values
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Andraž Čarni, Špela Čonč, and Mateja Breg Valjavec
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Biodiversity ,Geomorphic characteristics ,Indicator species ,Ellenberg indicator value ,Karst doline ,Landform-vegetation unit ,Ecology ,QH540-549.5 - Abstract
In this study, the objects of research were circular and concave karstic depressions, called sinkholes or dolines. All these negative topographic anomalies were previously recognized as safe havens for cool-adapted species on karstic plateaus. However, the high geodiversity of doline landforms on karst plateaus does not ensure that all dolines are really safe havens that should be considered for conservation status. We propose the use of indicator species to identify different dolines' “sections” and their overall types to identify dolines with high conservation value for cool-adapted species. We aimed to divide dolines into landform-vegetation units (LVU) according to basic geomorphic characteristics and indicator plant species.We carried out intensive sampling of vegetation plots (n = 286) across 10 dolines of different geomorphology ranging from 20 m to 100 m in diameter and from 2 m to 20 m in depth. Each doline was classified into a maximum of four LVUs: bottom, lower slope, upper slope and top. Vascular plants were used as a proxy for ecosystem biodiversity and indicator of ecological conditions. The diversity of vascular plant communities was sampled along N–S transects from one side of the doline over the bottom to the other side. Geodiversity parameters of individual dolines were calculated using a high-resolution digital elevation model (LiDAR / Light Detection And Ranging) and their significance was established by permutation test in CCA (Canonical Correlation Analysis). The floristic gradient was established by the first axis of PCoA (Principal Coordinates Analysis) and shows the species turn-over along the trajectory. Discrete plant communities were determined by TWINSPAN (Two-Way Indicator Species ANnalysis) classification. Based on this analysis, transects were disintegrated into four LVUs. Communities within LVUs were compared by Ellenberg indicator values and according to habitat preference of species. The indicator (also termed diagnostic) plant species were calculated by fidelity measure and related to ecological conditions along transects.We found that all four LVUs appear only in dolines that are at least 13.5 m deep and those can serve as a good safe haven for cool-adapted species in foreseen climatic change. We also confirmed that doline depth is the most important factors influencing the plant community composition. The results can be directly transformed to other karst regions (karst plateaus) with the same zonal vegetation, but calibration is needed in case of their application in other areas.
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- 2022
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5. Turnover of Plant Species on an Ecological Gradient in Karst Dolines Is Reflected in Plant Traits: Chorotypes, Life Forms, Plant Architecture and Strategies
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Aljaž Jakob, Mateja Breg Valjavec, and Andraž Čarni
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chorotype ,doline ,ecology ,plant functional strategy ,life form ,plant architecture ,Biology (General) ,QH301-705.5 - Abstract
We analyzed plants and their traits in dolines, which are characteristic enclosed terrain depressions on carbonate (karst) plateaus. These landforms range from a few meters to over 100 m in diameter, their depth generally varying from a few meters to a few tens of meters. A pronounced ecological gradient can be found from the bottom to the top, starting from humid, cool and shaded bottoms to sunny, dry and warm slopes and tops. We sampled dolines of various depths and analyzed the distribution of plant species on the gradient and how this distribution is reflected in plant traits: chorotypes, life forms, plant architecture and strategies. We used the transect method and sampled the floristic composition from the doline bottom to the top. We collected information about plant traits from various literature sources. The results show life forms and plant architecture explain this gradient well and, to a lesser extent, also chorotypes, but functional strategies have a low explanatory power. Life forms and plant architecture are the result of adaptation of species to the environment, and chorotypes are defined as species with an overlapping geographical distribution pattern due to their distribution and environmental histories. Functional strategies, which have evolved to enable plants to succeed in various environments, unexpectedly have a low explanatory power.
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- 2022
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6. Ellenberg-type indicator values for European vascular plant species
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Lubomír, Tichý, Irena, Axmanová, Jürgen, Dengler, Riccardo, Guarino, Florian, Jansen, Gabriele, Midolo, Nobis, Michael P., Koenraad, Van , Meerbeek, Svetlana, Aćić, Attorre, Fabio, Erwin, Bergmeier, Idoia, Biurrun, Gianmaria, Bonari, Helge, Bruelheide, Juan Antonio Campos, Andraž, Čarni, Alessandro, Chiarucci, Mirjana, Ćuk, Renata, Ćušterevska, Yakiv, Didukh, Daniel, Dítě, Zuzana, Dítě, Tetiana, Dziuba, Fanelli, Giuliano, Eduardo, Fernández‐pascual, Emmanuel, Garbolino, Gavilán, Rosario G., Jean‐claude, Gégout, Ulrich, Graf, Behlül, Güler, Michal, Hájek, Hennekens, Stephan M., Ute, Jandt, Anni, Jašková, Borja, Jiménez‐alfaro, Philippe, Julve, Stephan, Kambach, Dirk Nikolaus Karger, Gerhard, Karrer, Ali, Kavgacı, Ilona, Knollová, Anna, Kuzemko, Filip, Küzmič, Flavia, Landucci, Attila, Lengyel, Jonathan, Lenoir, Corrado, Marcenò, Jesper Erenskjold Moeslund, Pavel, Novák, Aaron, Pérez‐haase, Tomáš, Peterka, Remigiusz, Pielech, Pignatti, Alessandro, Valerijus, Rašomavičius, Solvita, Rūsiņa, Arne, Saatkamp, Urban, Šilc, Željko, Škvorc, Jean‐paul, Theurillat, Thomas, Wohlgemuth, Milan, Chytrý, Tichy L., Axmanova I., Dengler J., Guarino R., Jansen F., Midolo G., Nobis M.P., VanMeerbeek K., Acic S., Attorre F., Bergmeier E., Biurrun I., Bonari G., Bruelheide H., Campos J.A., Carni A., Chiarucci A., Cuk M., Custerevska R., Didukh Y., Dite D., Dite Z., Dziuba T., Fanelli G., Fernandez-Pascual E., Garbolino E., Gavilan R.G., Gegout J.-C., Graf U., Guler B., Hajek M., Hennekens S.M., Jandt U., Jaskova A., Jimenez-Alfaro B., Julve P., Kambach S., Karger D.N., Karrer G., Kavgaci A., Knollova I., Kuzemko A., Kuzmic F., Landucci F., Lengyel A., Lenoir J., Marceno C., Moeslund J.E., Novak P., Perez-Haase A., Peterka T., Pielech R., Pignatti A., Rasomavicius V., Rusina S., Saatkamp A., Silc U., Skvorc Z., Theurillat J.-P., Wohlgemuth T., Chytry M., Tichý, Lubomír, Axmanová, Irena, Dengler, Jürgen, Guarino, Riccardo, Jansen, Florian, Midolo, Gabriele, Nobis, Michael P., Van Meerbeek, Koenraad, Aćić, Svetlana, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Bonari, Gianmaria, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Chiarucci, Alessandro, Ćuk, Mirjana, Ćušterevska, Renata, Didukh, Yakiv, Dítě, Daniel, Dítě, Zuzana, Dziuba, Tetiana, Fanelli, Giuliano, Fernández‐Pascual, Eduardo, Garbolino, Emmanuel, Gavilán, Rosario G., Gégout, Jean‐Claude, Graf, Ulrich, Güler, Behlül, Hájek, Michal, Hennekens, Stephan M., Jandt, Ute, Jašková, Anni, Jiménez‐Alfaro, Borja, Julve, Philippe, Kambach, Stephan, Karger, Dirk Nikolau, Karrer, Gerhard, Kavgacı, Ali, Knollová, Ilona, Kuzemko, Anna, Küzmič, Filip, Landucci, Flavia, Lengyel, Attila, Lenoir, Jonathan, Marcenò, Corrado, Moeslund, Jesper Erenskjold, Novák, Pavel, Pérez‐Haase, Aaron, Peterka, Tomáš, Pielech, Remigiusz, Pignatti, Alessandro, Rašomavičius, Valeriju, Rūsiņa, Solvita, Saatkamp, Arne, Šilc, Urban, Škvorc, Željko, Theurillat, Jean‐Paul, Wohlgemuth, Thoma, and Chytrý, Milan
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Vascular plant ,bioindication ,Ellenberg indicator values ,light ,moisture ,nutrients ,reaction ,salinity ,temperature ,vascular plants ,Bos- en Landschapsecologie ,Environmental Sciences & Ecology ,Plant Science ,MOISTURE ,RICHNESS ,FORESTS ,GRADIENT ,ECOLOGICAL BEHAVIOR ,Forest and Landscape Ecology ,577: Ökologie ,Vegetatie ,Ellenberg indicator value ,Vegetation ,Science & Technology ,NORTH ,Ecology ,Plant Sciences ,SHIFTS ,Forestry ,bioindication, Ellenberg indicator values, light, moisture, nutrients, reaction, salinity, temperature, vascular plants ,REGIONS ,580: Pflanzen (Botanik) ,Settore BIO/03 - Botanica Ambientale E Applicata ,Vegetatie, Bos- en Landschapsecologie ,Vegetation, Forest and Landscape Ecology ,Life Sciences & Biomedicine ,Nutrient - Abstract
This is a dataset of Ellenberg-type indicator values for European vascular plant species described in this article: Tichý L., Axmanová I., Dengler J., Guarino R., Jansen F., Midolo G., Nobis M.P., Van Meerbeek K., Aćić S., Attorre F., Bergmeier E., Biurrun I., Bonari G., Bruelheide H., Campos J.A., Čarni A., Chiarucci A., Ćuk M., Ćušterevska M., Didukh Y., Dítě D., Dítě Z., Dziuba T., Fanelli G., Fernández-Pascual E., Garbolino E., Gavilán R.G., Gégout J.-C., Graf U., Güler B., Hájek M., Hennekens S.M., Jandt U., Jašková A., Jiménez-Alfaro B., Julve P., Kambach S., Karger D.N., Karrer G., Kavgacı A., Knollová I., Kuzemko A., Küzmič F., Landucci F., Lengyel A., Lenoir J., Marcenò C., Moeslund J.E., Novák P., Pérez-Haase A., Peterka T., Pielech R., Pignatti A., Rašomavičius V., Rūsiņa S., Saatkamp A., Šilc U., Škvorc Ž., Theurillat J.-P., Wohlgemuth T. & Chytrý M. (2023) Ellenberg-type indicator values for European vascular plant species. Journal of Vegetation Science, 34, e13168. https://doi.org/10.1111/jvs.13168 The dataset contains: 1) Harmonized Ellenberg-type indicator values for light, temperature, moisture, reaction, nutrients, and salinity for European vascular plants. 2) Original indicator values from 13 datasets of Ellenberg-type indicator values: - Germany (Ellenberg & Leuschner 2010) - Austria (Karrer 1992) - Cantabrian Range (Jiménez-Alfaro et al. 2021) - Czech Republic (Chytrý et al. 2018) - European mires (Hájek et al. 2020) - France (Julve 2015) - Great Britain (Hill et al. 2000) - Greece (South Aegean) (Böhling et al. 2002) - Hungary (Borhidi 1995) - Italy (Guarino & La Rosa 2019, modified) - Saline habitats (Dítě et al. 2023) - Switzerland and the Alps (Landolt et al. 2010) - Ukraine (Didukh 2011) 3) Species nomenclature is standardized according to the Euro+Med PlantBase (http://europlusmed.org)., The final version of the paper (accepted 8th Dec 2022; published 22nd Dec 2022). Difference from version 1.0: Minor changes in newly added species values calculated from co-occurrence with other species in the EVA database. They were corrected using straight-line calibration.
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- 2022
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7. Bringing the margin to the focus:10 challenges for riparian vegetation science and management
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Patricia M. Rodríguez‐González, Eleni Abraham, Francisca Aguiar, Andrea Andreoli, Ligita Baležentienė, Naim Berisha, Ivan Bernez, Michael Bruen, Daniel Bruno, Carlo Camporeale, Andraž Čarni, Mila Chilikova‐Lubomirova, Dov Corenblit, Renata Ćušterevska, Tanya Doody, Judy England, André Evette, Robert Francis, Virginia Garófano‐Gómez, Marta González del Tánago, Yasar Selman Gultekin, Florian Guyard, Seppo Hellsten, Georgi Hinkov, Jiří Jakubínský, Philippe Janssen, Roland Jansson, Jochem Kail, Emine Keles, Mary Kelly‐Quinn, Anna Kidová, Tímea Kiss, Mart Kulvik, Nicola La Porta, Marianne Laslier, Melissa Latella, Stefan Lorenz, Dejan Mandžukovski, Paraskevi Manolaki, Vanesa Martinez‐Fernández, David Merritt, Adrien Michez, Jelena Milovanović, Tomasz Okruszko, Eva Papastergiadou, Ellis Penning, Remigiusz Pielech, Emilio Politti, Ana Portela, Tenna Riis, Željko Škvorc, Michal Slezák, Barbara Stammel, John Stella, Danijela Stesevic, Vladimir Stupar, Olga Tammeorg, Priit Tammeorg, Therese Moe Fosholt, Gorazd Urbanič, Marc Villar, Ioannis Vogiatzakis, Paul Vrchovsky, Rasoul Yousefpour, Peggy Zinke, Tzvetan Zlatanov, Simon Dufour, Ecosystems and Environment Research Programme, Department of Agricultural Sciences, Viikki Plant Science Centre (ViPS), Crop Science Research Group, Helsinki Institute of Sustainability Science (HELSUS), AgriChar research group, Plant Production Sciences, University of Helsinki, Centro de Estudos Florestais, Instituto Superior de Agronomia [Lisboa] (ISA), Universidade de Lisboa = University of Lisbon (ULISBOA)-Universidade de Lisboa = University of Lisbon (ULISBOA), Laboratório Associado Terra, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Faculty of Science and Technology, Free University of Bozen-Bolzano, Institute of Environment and Ecology, Vytautas Magnus University - Vytauto Didziojo Universitetas (VDU), Department of Biology, Faculty of Mathematics and Natural Sciences, University of Prishtina, Dynamique et durabilité des écosystèmes : de la source à l’océan (DECOD), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), UCD Earth Institute & UCD Dooge Centre for Water Resources Research, University College Dublin [Dublin] (UCD), Laboratoire des EcoSystèmes et des Sociétés en Montagne (UR LESSEM), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Instituto Pirenaico de Ecologìa = Pyrenean Institute of Ecology [Zaragoza] (IPE - CSIC), Department of environmental, land and infrastructure engineering, Politecnico di Torino = Polytechnic of Turin (Polito), Scientific Research Centre of the Slovenian Academy of Sciences and Arts, Bulgarian Academy of Sciences (BAS), Laboratoire de Géographie Physique et Environnementale (GEOLAB), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut Sciences de l'Homme et de la Société (IR SHS UNILIM), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Faculty of Natural Sciences and Mathematics, Institute of Biology, Ss Cyril and Methodius University in Skopje, CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Environment Agency, King‘s College London, Instituto de Investigación para la Gestión Integrada de Zonas Costeras [Universitat Politècnica de València] (IGIC), Universitat Politècnica de València (UPV), Laboratorio de Hidrobiología, Universidad Politécnica de Madrid (UPM), Forest Economics Department, Düzce University, Geography and Spatial Planning, Université de Rennes 2 (UR2), Finnish Environment Institute (SYKE), Forest Research Institute - Department of Forest Entomology - Bulgarian Academy of Sciences (BAS), Global Change Research, Institute CAS, Department of Ecology and Environmental Science [Umeå], Umeå University, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Faculty of Architecture, Department of Landscape Architecture, Trakya University, School of Biology & Environmental Science and UCD Earth Institute, Geophysical Institute of the Slovak Academy of Sciences, Department of Geoinformatics, Physical and Environmental Geography, University of Szeged [Szeged], Estonian University of Life Sciences (EMU), Centro Ricerca e Innovazione, Fondazione Edmund Mach, Instituto Agrario S. Michele all' Adige, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Institute for Ecological Chemistry, Plant Analysis and Stored Product Protection, Julius Kuehn-Institut, Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Field Crops and Grassland, Braunschweig, Germany, Department for Forest Management Planning, PE Nacionalni sumi, Faculty of Pure and Applied Sciences, Open University of Cyprus, Museo Nacional de Ciencias Naturales [Madrid] (MNCN), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), National Stream and Aquatic Ecology Center, Biological and Physical Resources Staff, USDA, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, Université de Liège - Gembloux-Université de Liège - Gembloux, Environment and Sustainable Development, Singidunum University, Institute of Environmental Engineering, Warsaw University of Life Sciences (SGGW), University of Patras, Department of Inland Water Systems, Deltares [The Netherlands], University of Agriculture in Krakow, Department of civil, environmental and mechanical engineering [Trento], University of Trento [Trento], Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Universidade do Porto = University of Porto, CIBIO-InBIO - Universidade do Porto, Program in Genomics, Biodiversity and Land Planning (BIOPOLIS), Department of Biology, Aarhus Universitet, Faculty of Forestry and Wood Technology [Zagreb], University of Zagreb, Institute of Forest Ecology, Slovak Academy of Sciences (SAS), Floodplain Institute, Catholic University of Eichstätt-Ingolstadt, Department of Sustainable Resources Management, SUNY College of Environmental Science and Forestry (SUNY-ESF), State University of New York (SUNY)-State University of New York (SUNY), University of Montenegro (UCG), Department of Forest Ecology, University of Banja Luka, Department of Agricultural Science, Norwegian Institute for Water Research (NIVA), Institute for Holistic Environmental Management, Ltd. (URBANZERO), Biologie intégrée pour la valorisation de la diversité des Arbres et de la Forêt (BioForA), Office national des forêts (ONF)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institute of Forestry and Conservation, John H. Daniels Faculty of Architecture, Landscape, and Design, University of Toronto, Chair of Forestry Economics and Forest Planning, University of Freiburg, Sciencemonastery AS, Institute of Biodiversity and Ecosystem Research, Littoral, Environnement, Télédétection, Géomatique (LETG - Rennes ), Université de Brest (UBO)-Université de Rennes 2 (UR2)-Nantes Université (Nantes Univ)-Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (Nantes Univ - IGARUN), Nantes Université - pôle Humanités, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Humanités, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (Nantes Univ - IGARUN), Nantes Université (Nantes Univ), Suomen ympäristökeskus, and The Finnish Environment Institute
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rantakasvillisuus ,luonnonhoito ,Settore AGR/05 - ASSESTAMENTO FORESTALE E SELVICOLTURA ,riparian zone, river management, socioecosystem ,nature management ,water ,vesi ,nature conservation ,Ocean Engineering ,Oceanografi, hydrologi och vattenresurser ,Management, Monitoring, Policy and Law ,Aquatic Science ,SALICACEAE ,Oceanography ,riparian zone ,Oceanography, Hydrology and Water Resources ,vegetation ,RIVER ,river management ,socioecosystem ,PLANTS ,1172 Environmental sciences ,aquatic ecosystems ,Water Science and Technology ,Ekologi ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,Ecology ,vesiekosysteemit ,kasvillisuus ,Miljövetenskap ,ecosystems (ecology) ,FRAMEWORK ,waterside vegetation ,[SDE.ES]Environmental Sciences/Environmental and Society ,ekologia ,ekosysteemit (ekologia) ,ekosysteemipalvelut ,[SDE]Environmental Sciences ,FEEDBACKS ,luonnonsuojelu ,ecosystem services ,Biologie ,Environmental Sciences - Abstract
Riparian zones are the paragon of transitional ecosystems, providing critical habitat and ecosystem services that are especially threatened by global change. Following consultation with experts, 10 key challenges were identified to be addressed for riparian vegetation science and management improvement: (1) Create a distinct scientific community by establishing stronger bridges between disciplines; (2) Make riparian vegetation more visible and appreciated in society and policies; (3) Improve knowledge regarding biodiversity—ecosystem functioning links; (4) Manage spatial scale and context-based issues; (5) Improve knowledge on social dimensions of riparian vegetation; (6) Anticipate responses to emergent issues and future trajectories; (7) Enhance tools to quantify and prioritize ecosystem services; (8) Improve numerical modeling and simulation tools; (9) Calibrate methods and increase data availability for better indicators and monitoring practices and transferability; and (10) Undertake scientific validation of best management practices. These challenges are discussed and critiqued here, to guide future research into riparian vegetation. This article is categorized under: Water and Life > Nature of Freshwater Ecosystems Water and Life > Stresses and Pressures on Ecosystems Water and Life > Conservation, Management, and Awareness
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- 2022
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8. Distribution maps of vegetation alliances in Europe
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Zdenka Preislerová, Borja Jiménez‐Alfaro, Ladislav Mucina, Christian Berg, Gianmaria Bonari, Anna Kuzemko, Flavia Landucci, Corrado Marcenò, Tiago Monteiro‐Henriques, Pavel Novák, Denys Vynokurov, Erwin Bergmeier, Jürgen Dengler, Iva Apostolova, Frederic Bioret, Idoia Biurrun, Juan Antonio Campos, Jorge Capelo, Andraž Čarni, Süleyman Çoban, János Csiky, Mirjana Ćuk, Renata Ćušterevska, Fred J.A. Daniëls, Michele De Sanctis, Yakiv Didukh, Daniel Dítě, Giuliano Fanelli, Yaroslav Golovanov, Valentin Golub, Riccardo Guarino, Michal Hájek, Dmytro Iakushenko, Adrian Indreica, Florian Jansen, Anni Jašková, Martin Jiroušek, Veronika Kalníková, Ali Kavgacı, Ilya Kucherov, Filip Küzmič, Maria Lebedeva, Javier Loidi, Zdeňka Lososová, Tatiana Lysenko, Đorđije Milanović, Viktor Onyshchenko, Gwenhael Perrin, Tomáš Peterka, Valerijus Rašomavičius, María Pilar Rodríguez‐Rojo, John S. Rodwell, Solvita Rūsiņa, Daniel Sánchez‐Mata, Joop H.J. Schaminée, Yuri Semenishchenkov, Nikolay Shevchenko, Jozef Šibík, Željko Škvorc, Viktor Smagin, Danijela Stešević, Vladimir Stupar, Kateřina Šumberová, Jean‐Paul Theurillat, Elena Tikhonova, Rossen Tzonev, Milan Valachovič, Kiril Vassilev, Wolfgang Willner, Sergey Yamalov, Martin Večeřa, Milan Chytrý, Preislerová, Zdenka, Jiménez‐Alfaro, Borja, Mucina, Ladislav, Berg, Christian, Bonari, Gianmaria, Kuzemko, Anna, Landucci, Flavia, Marcenò, Corrado, Monteiro‐Henriques, Tiago, Novák, Pavel, Vynokurov, Deny, Bergmeier, Erwin, Dengler, Jürgen, Apostolova, Iva, Bioret, Frederic, Biurrun, Idoia, Campos, Juan Antonio, Capelo, Jorge, Čarni, Andraž, Çoban, Süleyman, Csiky, Jáno, Ćuk, Mirjana, Ćušterevska, Renata, Daniëls, Fred J.A., De Sanctis, Michele, Didukh, Yakiv, Dítě, Daniel, Fanelli, Giuliano, Golovanov, Yaroslav, Golub, Valentin, Guarino, Riccardo, Hájek, Michal, Iakushenko, Dmytro, Indreica, Adrian, Jansen, Florian, Jašková, Anni, Jiroušek, Martin, Kalníková, Veronika, Kavgacı, Ali, Kucherov, Ilya, Küzmič, Filip, Lebedeva, Maria, Loidi, Javier, Lososová, Zdeňka, Lysenko, Tatiana, Milanović, Đorđije, Onyshchenko, Viktor, Perrin, Gwenhael, Peterka, Tomáš, Rašomavičius, Valeriju, Rodríguez‐Rojo, Maria Pilar, Rodwell, John S., Rūsiņa, Solvita, Sánchez‐Mata, Daniel, Schaminée, Joop H.J., Semenishchenkov, Yuri, Shevchenko, Nikolay, Šibík, Jozef, Škvorc, Željko, Smagin, Viktor, Stešević, Danijela, Stupar, Vladimir, Šumberová, Kateřina, Theurillat, Jean‐Paul, Tikhonova, Elena, Tzonev, Rossen, Valachovič, Milan, Vassilev, Kiril, Willner, Wolfgang, Yamalov, Sergey, Večeřa, Martin, and Chytrý, Milan
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Vegetation ,Ecology ,alliance ,syntaxon ,phytosociology ,Bos- en Landschapsecologie ,Plant Ecology and Nature Conservation ,Management, Monitoring, Policy and Law ,PE&RC ,Europe ,EuroVegChecklist ,580: Pflanzen (Botanik) ,classification ,vegetation survey ,vegetation type ,map ,Settore BIO/03 - Botanica Ambientale E Applicata ,distribution ,Plantenecologie en Natuurbeheer ,Vegetatie, Bos- en Landschapsecologie ,Forest and Landscape Ecology ,Vegetation, Forest and Landscape Ecology ,Vegetatie ,Alliance, Distribution, Europe, EuroVegChecklist, Map, Phytosociology, Syntaxon, Vegetation survey, Vegetation type ,Nature and Landscape Conservation - Abstract
Aim The first comprehensive checklist of European phytosociological alliances, orders and classes (EuroVegChecklist) was published by Mucina et al. (2016, Applied Vegetation Science, 19 (Suppl. 1), 3-264). However, this checklist did not contain detailed information on the distribution of individual vegetation types. Here we provide the first maps of all alliances in Europe. Location Europe, Greenland, Canary Islands, Madeira, Azores, Cyprus and the Caucasus countries. Methods We collected data on the occurrence of phytosociological alliances in European countries and regions from literature and vegetation-plot databases. We interpreted and complemented these data using the expert knowledge of an international team of vegetation scientists and matched all the previously reported alliance names and concepts with those of the EuroVegChecklist. We then mapped the occurrence of the EuroVegChecklist alliances in 82 territorial units corresponding to countries, large islands, archipelagos and peninsulas. We subdivided the mainland parts of large or biogeographically heterogeneous countries based on the European biogeographical regions. Specialized alliances of coastal habitats were mapped only for the coastal section of each territorial unit. Results Distribution maps were prepared for 1,105 alliances of vascular-plant dominated vegetation reported in the EuroVegChecklist. For each territorial unit, three levels of occurrence probability were plotted on the maps: (a) verified occurrence; (b) uncertain occurrence; and (c) absence. The maps of individual alliances were complemented by summary maps of the number of alliances and the alliance-area relationship. Distribution data are also provided in a spreadsheet. Conclusions The new map series represents the first attempt to characterize the distribution of all vegetation types at the alliance level across Europe. There are still many knowledge gaps, partly due to a lack of data for some regions and partly due to uncertainties in the definition of some alliances. The maps presented here provide a basis for future research aimed at filling these gaps. This project was funded by the Czech Science Foundation (grant no. 19-28491X). LM was supported by Iluka Chair of Vegetation Science & Biogeography, Murdoch University, Perth; IB, JAC and JL by the Basque Government (IT936-16); TMH by the European Social Fund (POCH and NORTE 2020) and National Funds (MCTES) through Fundacao para a Ciencia e a Tecnologia postdoctoral fellowship (SFRH/BPD/115057/2016) and project UIDB/04033/2020; AC and FK by the Slovenian Research Agency (P1-0236 to AC and program for Young Researchers to FK); SR by the University of Latvia (AAp2016/B041/Zd2016/AZ03); and KS by the Institute of Botany of the Czech Academy of Sciences (RVO 67985939).
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- 2022
9. Phylogenetic structure of European forest vegetation
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Jens-Christian Svenning, Emiliano Agrillo, Adrian Indreica, Kiril Vassilev, Jonathan Lenoir, Gianmaria Bonari, Ilona Knollová, Mirjana Ćuk, Juan Antonio Campos, Željko Škvorc, Larisa Khanina, Wolfgang Willner, Remigiusz Pielech, Idoia Biurrun, Erwin Bergmeier, Andraž Čarni, Fabio Attorre, Borja Jiménez-Alfaro, Valerijus Rašomavičius, Zdeňka Lososová, Josep Padullés Cubino, Milan Chytrý, Michele De Sanctis, Czech Science Foundation, Villum Fonden, Eusko Jaurlaritza, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), and Centre National de la Recherche Scientifique (CNRS)-Université de Picardie Jules Verne (UPJV)
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0106 biological sciences ,010504 meteorology & atmospheric sciences ,postglacial recolonization ,[SDE.MCG]Environmental Sciences/Global Changes ,[SDV.BID]Life Sciences [q-bio]/Biodiversity ,Glacial refugia ,010603 evolutionary biology ,01 natural sciences ,Mediterranean Basin ,Vegetation-plot data ,phylogenetic relatedness ,Phylogenetic community structure ,Postglacial recolonization ,community assembly, environmental filtering, European forests, glacial refugia, phylogenetic community structure, phylogenetic relatedness, postglacial recolonization, vegetation-plot data ,Phylogenetics ,glacial refugia ,Clade ,Ecology, Evolution, Behavior and Systematics ,0105 earth and related environmental sciences ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,Ecology ,Hemiboreal ,Phylogenetic tree ,Community assembly ,phylogenetic community structure ,environmental filtering ,15. Life on land ,vegetation-plot data ,community assembly ,European forests ,Taxon ,Geography ,Spatial ecology ,Biological dispersal ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Phylogenetic relatedness ,Environmental filtering - Abstract
[Aims] (a) To determine the contribution of current macro-environmental factors in explaining the phylogenetic structure of European forest vegetation, (b) to map and describe spatial patterns in their phylogenetic structure and (c) to examine which lineages are the most important contributors to phylogenetic clustering and whether their contribution varies across forest types and regions. [Location] Europe. [Taxon] Angiosperms. [Methods] We analysed the phylogenetic structure of 61,816 georeferenced forest vegetation plots across Europe considering alternative metrics either sensitive to basal (ancient evolutionary dynamics) or terminal (recent dynamics) branching in the phylogeny. We used boosted regression trees to model metrics of the phylogenetic structure as a function of current macro-environmental factors. We also identified clades encompassing significantly more taxa than under random expectation in phylogenetically clustered plots. [Results] Phylogenetic clustering was driven by climatic stress and instability and was strong in the areas glaciated during the Pleistocene, likely reflecting limited postglacial migration, and to a lower extent in areas of northern-central Europe and in summer-dry Mediterranean regions. Phylogenetic overdispersion was frequent in the hemiboreal zone in Russia, in some areas around the Mediterranean Basin, and along the Atlantic seaboard of the Iberian Peninsula. The families Ericaceae, Poaceae and Fagaceae were overrepresented in clustered plots in different regions of Europe. [Main conclusions] We provide the first maps and analyses on the phylogenetic structure of European forest vegetation at the plot level. Our results highlight the role of environmental filtering, postglacial dispersal limitation and spatial transitions between major biomes in determining the distribution of plant lineages in Europe., The study was supported by the Czech Science Foundation (19-28491X). IB and JAC were funded by the Basque Government (IT936-16). JCS considers this work a contribution to his VILLUM Investigator project “Biodiversity Dynamics in a Changing World” funded by VILLUM FONDEN (grant 16549).
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- 2021
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10. Plant species turnover on forest gaps after natural disturbances in the Dinaric fir beech forests (Omphalodo-Fagetum sylvaticae)
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Blanka Ravnjak, Jože Bavcon, and Andraž Čarni
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Ecology ,Ecological Modeling ,kolonizacija ,dinarski jelovo-bukovi gozdovi ,plant colonisation ,rastline ,Agricultural and Biological Sciences (miscellaneous) ,Ellenberg values ,Ellenbergove indikatorske vrednosti ,forest gaps ,community strategy ,Dinaric fir-beech forests ,gozdne vrzeli ,udc:630*1 ,Nature and Landscape Conservation - Abstract
We studied species turnover and changes of ecological conditions and plant strategies on forest gaps created by natural disturbances (sleet, windthrow). We studied five forest gaps and a control plot within in the Dinaric silver fir-beech forest in the southern part of Slovenia. Forest gaps varied in age and size. The total number of recorded species in gaps was 184, with the highest number (106) at the largest forest gap and with the 58 species at the control locality in a juvenile beech forest. Forest gaps were predominantly colonised mostly by species of understory, forest margins, and forest clearings. The species presented in all forest gaps are representatives of the understory of beech forests. Species colonising forest gaps prefer habitats with more sunlight, medium wet to dry soil, and are tolerant to high daily and seasonal temperature fluctuations. In gaps, the community of plant species has a competitive strategy, which is also complemented with a stress-tolerator strategy. We determined that a forest gap represents a significant habitat patch, especially for those plant species which were not present there before.
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- 2022
11. Classification of Wetland Forests and Scrub in the Western Balkans
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Dragan Koljanin, Jugoslav Brujić, Andraž Čarni, Đorđije Milanović, Željko Škvorc, and Vladimir Stupar
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floodplain ,swamp forests ,Franguletea ,ecological gradient ,Salicetea purpureae ,Ecology ,Ecological Modeling ,Agricultural and Biological Sciences (miscellaneous) ,Alno-Populetea ,vegetation ,Alnetea glutinosae ,riparian forests ,ecological factors ,Nature and Landscape Conservation - Abstract
Wetland forests and scrub (WFS) are conditioned by the strong impact of water. They consist of various vegetation types, depending on many factors such as type and duration of flooding, water table level and its fluctuation, river current strength, substrate ability to retain water, etc. WFS vegetation has been insufficiently studied in the Balkan Peninsula, especially in Bosnia and Herzegovina. By means of numerical classification, we aimed to classify Western Balkans WFS at the alliance level, and to identify the main underlying ecological gradients driving the variation in species composition. The dataset containing all published and available unpublished relevés from Slovenia, Croatia and Bosnia and Herzegovina was first classified using the EuroVegChecklist Expert System in Juice software in order to assign the corresponding class to each of the relevés. Relevés were subsequently analyzed within each of the four WFS classes (Alno glutinosae-Populetea albae, Salicetea purpureae, Alnetea glutinosae and Franguletea). Cluster analysis resulted in eight alliances, Salicion albae, Salicion triandrae, Salicion eleagno-daphnoidis, Alno-Quercion, Alnion incanae, Alnion glutinosae, Betulion pubescentis and Salicion cinereae, while one cluster could not be assigned with certainty. Edafic factors were found to be the most important factors determining the floristic composition and syntaxa differentiation of WFS in the study area.
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- 2023
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12. Diversity and ecological differentiation of oak forests in NW Thrace (Turkey)
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Kavgaci Ali, Čarni Andraz, Tecimeni Bariş, and Özalp Gülen
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biodiversity ,ecology ,floodplain ,phytogeography ,thermophilous forest ,vegetation ,Biology (General) ,QH301-705.5 - Abstract
Quercus robur, Q. frainetto, Q. cerris and Q. petraea that predominate in forests in the Thrace region, a bridge between the Balkans and Anatolia, were sampled, elaborated and classified. The ecological conditions were estimated by bio-indicator values. Oak forests can be divided into four groups: Q. robur-Fraxinus angustifolia forests thriving in floodplains, Q. petraea forests found at higher altitudes, Q. frainetto-Carpinus orientalis forests appearing in the warmest and driest sites and Q. frainetto forests on more humid sites. It was established that the most important topographic factor is altitude, while slope and aspect are of minor importance. .
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- 2010
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13. Disturbance indicator values for European plants
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Gabriele Midolo, Tomáš Herben, Irena Axmanová, Corrado Marcenò, Ricarda Pätsch, Helge Bruelheide, Dirk Nikolaus Karger, Svetlana Aćić, Ariel Bergamini, Erwin Bergmeier, Idoia Biurrun, Gianmaria Bonari, Andraž Čarni, Alessandro Chiarucci, Michele De Sanctis, Olga Demina, Jürgen Dengler, Tetiana Dziuba, Giuliano Fanelli, Emmanuel Garbolino, Gianpietro Giusso del Galdo, Friedemann Goral, Behlül Güler, Guillermo Hinojos‐Mendoza, Florian Jansen, Borja Jiménez‐Alfaro, Attila Lengyel, Jonathan Lenoir, Aaron Pérez‐Haase, Remigiusz Pielech, Vadim Prokhorov, Valerijus Rašomavičius, Eszter Ruprecht, Solvita Rūsiņa, Urban Šilc, Željko Škvorc, Zvjezdana Stančić, Irina Tatarenko, Milan Chytrý, Midolo, G, Herben, T, Axmanova, I, Marceno, C, Patsch, R, Bruelheide, H, Karger, DN, Acic, S, Bergamini, A, Bergmeier, E, Biurrun, I, Bonari, G, Carni, A, Chiarucci, A, De Sanctis, M, Demina, O, Dengler, J, Dziuba, T, Fanelli, G, Garbolino, E, del Galdo, GG, Goral, F, Guler, B, Hinojos-Mendoza, G, Jansen, F, Jimenez-Alfaro, B, Lengyel, A, Lenoir, J, Perez-Haase, A, Pielech, R, Prokhorov, V, Rasomavicius, V, Ruprecht, E, Rusina, S, Silc, U, Skvorc, A, Stancic, Z, Tatarenko, I, and Chytry, M
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Ellenberg indicator value ,Global and Planetary Change ,Ecology ,bioindicator ,ecological niche ,Ellenberg indicator values ,expert judgement ,functional trait ,plant life-form ,bioindicator, ecological niche, Ellenberg indicator values, expert judgement, functional trait, plant life-form ,580: Pflanzen (Botanik) ,577: Ökologie ,Ecology, Evolution, Behavior and Systematics - Abstract
Motivation: Indicator values are numerical values used to characterize the ecological niches of species and to estimate their occurrence along gradients. Indicator values on climatic and edaphic niches of plant species have received considerable attention in ecological research, whereas data on the optimal positioning of species along disturbance gradients are less developed. Here, we present a new data set of disturbance indicator values identifying optima along gradients of natural and anthropogenic disturbance for 6382 vascular plant species based on the analysis of 736,366 European vegetation plots and using expert-based characterization of disturbance regimes in 236 habitat types. The indicator values presented here are crucial for integrating disturbance niche optima into large-scale vegetation analyses and macroecological studies. Main types of variables contained: We set up five main continuous indicator values for European vascular plants: disturbance severity, disturbance frequency, mowing frequency, grazing pressure and soil disturbance. The first two indicators are provided separately for the whole community and for the herb layer. We calculated the values as the average of expert-based estimates of disturbance values in all habitat types where a species occurs, weighted by the number of plots in which the species occurs within a given habitat type. Spatial location and grain: Europe. Vegetation plots ranging in size from 1 to 1000 m2. Time period and grain: Vegetation plots mostly sampled between 1956 and 2013 (= 5th and 95th quantiles of the sampling year, respectively). Major taxa and level of measurement: Species-level indicator values for vascular plants. Software format: csv file. © 2022 John Wiley & Sons Ltd.
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- 2022
14. sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots
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Ben Sparrow, V. B. Martynenko, Jonathan Lenoir, Eszter Ruprecht, Idoia Biurrun, Luzmila Arroyo, Borja Jiménez-Alfaro, Aníbal Pauchard, Roberto Venanzoni, Stephan M. Hennekens, Mohamed Z. Hatim, Cyrus Samimi, Arkadiusz Nowak, Gerhard E. Overbeck, Petr Sklenář, Renata Ćušterevska, Valentin Golub, Eduardo Vélez-Martin, Gwendolyn Peyre, Inger Greve Alsos, Ioannis Tsiripidis, Tarek Hattab, Andrey Yu. Korolyuk, Jutta Kapfer, Jörg Ewald, Donald M. Waller, Ute Jandt, Tetiana Dziuba, Marco Schmidt, Alvaro G. Gutiérrez, Thomas Wohlgemuth, Adrian Indreica, Zygmunt Kącki, Jürgen Dengler, Željko Škvorc, Dirk Nikolaus Karger, Panayotis Dimopoulos, Viktor Onyshchenko, Hanhuai Shan, John Janssen, Hua Feng Wang, Holger Kreft, Jérôme Munzinger, Brian J. Enquist, Frederic Lens, Wannes Hubau, Birgit Jedrzejek, Alexander Christian Vibrans, Miguel D. Mahecha, Emmanuel Garbolino, Sophie Gachet, Abel Monteagudo Mendoza, Josep Peñuelas, Melisa A. Giorgis, Svetlana Aćić, Débora Vanessa Lingner, Victor V. Chepinoga, Richard Field, Ladislav Mucina, Michele De Sanctis, Mohamed A. El-Sheikh, Isabelle Aubin, Hamid Gholizadeh, Fahmida Sultana, Fabio Attorre, Valerijus Rašomavičius, Cindy Q. Tang, Tomáš Černý, Gonzalo Rivas-Torres, Donald A. Walker, Alicia Teresa Rosario Acosta, Timothy J. Killeen, Francesco Maria Sabatini, Susan K. Wiser, Urban Šilc, Andraž Čarni, Florian Jansen, Valério D. Pillar, Jonas V. Müller, Aaron Pérez-Haase, Els De Bie, Antonio Galán-de-Mera, Zhiyao Tang, Anne D. Bjorkman, Sylvia Haider, Kiril Vassilev, Risto Virtanen, Henrik von Wehrden, Hjalmar S. Kühl, Manfred Finckh, Zvjezdana Stančić, Pavel Shirokikh, Elizabeth Kearsley, Petr Petřík, Yves Bergeron, Iva Apostolova, Emiliano Agrillo, Jozef Šibík, Norbert Jürgens, Marta Gaia Sperandii, Anna Kuzemko, Jens-Christian Svenning, Timothy J. S. Whitfeld, Michael Kessler, Bruno Hérault, John-Arvid Grytnes, Laura Casella, Tomáš Peterka, Miguel Alvarez, Tsipe Aavik, Gregory Richard Guerin, André Luis de Gasper, Corrado Marcenò, Luis Cayuela, Brody Sandel, Cyrille Violle, Jens Kattge, Guillermo Hinojos Mendoza, Anke Jentsch, Arindam Banerjee, Jesper Erenskjold Moeslund, Mohammed Abu Sayed Arfin Khan, Patrice de Ruffray, Milan Chytrý, S. M. Yamalov, Tatiana Lysenko, Meelis Pärtel, Viktoria Bondareva, Helge Bruelheide, John S. Rodwell, Jiri Dolezal, Oliver L. Phillips, Rasmus Revermann, Larisa Khanina, Erwin Bergmeier, Robert K. Peet, Jörg Brunet, Solvita Rūsiņa, Oliver Purschke, Gianmaria Bonari, Jürgen Homeier, Martin Zobel, János Csiky, Marijn Bauters, Jalil Noroozi, Karsten Wesche, Kim André Vanselow, Norbert Hölzel, Flavia Landucci, Farideh Fazayeli, Wolfgang Willner, Viktoria Wagner, Alireza Naqinezhad, Aurora Levesley, Vadim Prokhorov, Hongyan Liu, Ali Kavgaci, Rodolfo Vásquez Martínez, Franziska Schrodt, Attila Lengyel, Elise A. Arnst, Sabatini F.M., Lenoir J., Hattab T., Arnst E.A., Chytry M., Dengler J., De Ruffray P., Hennekens S.M., Jandt U., Jansen F., Jimenez-Alfaro B., Kattge J., Levesley A., Pillar V.D., Purschke O., Sandel B., Sultana F., Aavik T., Acic S., Acosta A.T.R., Agrillo E., Alvarez M., Apostolova I., Arfin Khan M.A.S., Arroyo L., Attorre F., Aubin I., Banerjee A., Bauters M., Bergeron Y., Bergmeier E., Biurrun I., Bjorkman A.D., Bonari G., Bondareva V., Brunet J., Carni A., Casella L., Cayuela L., Cerny T., Chepinoga V., Csiky J., Custerevska R., De Bie E., de Gasper A.L., De Sanctis M., Dimopoulos P., Dolezal J., Dziuba T., El-Sheikh M.A.E.-R.M., Enquist B., Ewald J., Fazayeli F., Field R., Finckh M., Gachet S., Galan-de-Mera A., Garbolino E., Gholizadeh H., Giorgis M., Golub V., Alsos I.G., Grytnes J.-A., Guerin G.R., Gutierrez A.G., Haider S., Hatim M.Z., Herault B., Hinojos Mendoza G., Holzel N., Homeier J., Hubau W., Indreica A., Janssen J.A.M., Jedrzejek B., Jentsch A., Jurgens N., Kacki Z., Kapfer J., Karger D.N., Kavgaci A., Kearsley E., Kessler M., Khanina L., Killeen T., Korolyuk A., Kreft H., Kuhl H.S., Kuzemko A., Landucci F., Lengyel A., Lens F., Lingner D.V., Liu H., Lysenko T., Mahecha M.D., Marceno C., Martynenko V., Moeslund J.E., Monteagudo Mendoza A., Mucina L., Muller J.V., Munzinger J., Naqinezhad A., Noroozi J., Nowak A., Onyshchenko V., Overbeck G.E., Partel M., Pauchard A., Peet R.K., Penuelas J., Perez-Haase A., Peterka T., Petrik P., Peyre G., Phillips O.L., Prokhorov V., Rasomavicius V., Revermann R., Rivas-Torres G., Rodwell J.S., Ruprecht E., Rusina S., Samimi C., Schmidt M., Schrodt F., Shan H., Shirokikh P., Sibik J., Silc U., Sklenar P., Skvorc Z., Sparrow B., Sperandii M.G., Stancic Z., Svenning J.-C., Tang Z., Tang C.Q., Tsiripidis I., Vanselow K.A., Vasquez Martinez R., Vassilev K., Velez-Martin E., Venanzoni R., Vibrans A.C., Violle C., Virtanen R., von Wehrden H., Wagner V., Walker D.A., Waller D.M., Wang H.-F., Wesche K., Whitfeld T.J.S., Willner W., Wiser S.K., Wohlgemuth T., Yamalov S., Zobel M., Bruelheide H., Sabatini, Fm, Lenoir, J, Hattab, T, Arnst, Ea, Chytry, M, Dengler, J, De Ruffray, P, Hennekens, Sm, Jandt, U, Jansen, F, Jimenez-Alfaro, B, Kattge, J, Levesley, A, Pillar, Vd, Purschke, O, Sandel, B, Sultana, F, Aavik, T, Acic, S, Acosta, Atr, Agrillo, E, Alvarez, M, Apostolova, I, Khan, Masa, Arroyo, L, Attorre, F, Aubin, I, Banerjee, A, Bauters, M, Bergeron, Y, Bergmeier, E, Biurrun, I, Bjorkman, Ad, Bonari, G, Bondareva, V, Brunet, J, Carni, A, Casella, L, Cayuela, L, Cerny, T, Chepinoga, V, Csiky, J, Custerevska, R, De Bie, E, de Gasper, Al, De Sanctis, M, Dimopoulos, P, Dolezal, J, Dziuba, T, El-Sheikh, Mam, Enquist, B, Ewald, J, Fazayeli, F, Field, R, Finckh, M, Gachet, S, Galan-de-Mera, A, Garbolino, E, Gholizadeh, H, Giorgis, M, Golub, V, Alsos, Ig, Grytnes, Ja, Guerin, Gr, Gutierrez, Ag, Haider, S, Hatim, Mz, Herault, B, Mendoza, Gh, Holzel, N, Homeier, J, Hubau, W, Indreica, A, Janssen, Jam, Jedrzejek, B, Jentsch, A, Jurgens, N, Kacki, Z, Kapfer, J, Karger, Dn, Kavgaci, A, Kearsley, E, Kessler, M, Khanina, L, Killeen, T, Korolyuk, A, Kreft, H, Kuhl, H, Kuzemko, A, Landucci, F, Lengyel, A, Lens, F, Lingner, Dv, Liu, Hy, Lysenko, T, Mahecha, Md, Marceno, C, Martynenko, V, Moeslund, Je, Mendoza, Am, Mucina, L, Muller, Jv, Munzinger, Jm, Naqinezhad, A, Noroozi, J, Nowak, A, Onyshchenko, V, Overbeck, Ge, Partel, M, Pauchard, A, Peet, Rk, Penuelas, J, Perez-Haase, A, Peterka, T, Petrik, P, Peyre, G, Phillips, Ol, Prokhorov, V, Rasomavicius, V, Revermann, R, Rivas-Torres, G, Rodwell, J, Ruprecht, E, Rusina, S, Samimi, C, Schmidt, M, Schrodt, F, Shan, Hh, Shirokikh, P, Sibik, J, Silc, U, Sklenar, P, Skvorc, Z, Sparrow, B, Sperandii, Mg, Stancic, Z, Svenning, Jc, Tang, Zy, Tang, Cq, Tsiripidis, I, Vanselow, Ka, Martinez, Rv, Vassilev, K, Velez-Martin, E, Venanzoni, R, Vibrans, Ac, Violle, C, Virtanen, R, von Wehrden, H, Wagner, V, Walker, Da, Waller, Dm, Wang, Hf, Wesche, K, Whitfeld, Tj, Willner, W, Wiser, Sk, Wohlgemuth, T, Yamalov, S, Zobel, M, Bruelheide, H, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), Centre de recherche sur les Risques et les Crises (CRC), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), ANR-07-BDIV-0006,BIONEOCAL,L'endémisme en Nouvelle-Calédonie : étude phylogénétique et populationnelle des son émergence.(2007), ANR-07-BDIV-0008,INC,Incendies et biodiversité de écosystèmes en Nouvelle-Calédonie.(2007), ANR-07-BDIV-0010,ULTRABIO,Biodiversité et stratégies adaptatives végétales et microbiennes des écosystèmes ultramafiques en Nouvelle-Calédonie.(2007), European Project: 610028,EC:FP7:ERC,ERC-2013-SyG,IMBALANCE-P(2014), European Project: 291585,EC:FP7:ERC,ERC-2011-ADG_20110209,T-FORCES(2012), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut de Recherche pour le Développement (IRD), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
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0106 biological sciences ,Biome ,Bos- en Landschapsecologie ,Biodiversity ,DIVERSITY ,FOREST VEGETATION ,01 natural sciences ,purl.org/becyt/ford/1 [https] ,Abundance (ecology) ,big data ,Vegetation type ,PHYTOSOCIOLOGICAL DATABASE ,parcelle ,Forest and Landscape Ecology ,functional traits ,vascular plants ,biodiversity ,biogeography ,database ,macroecology ,vegetation plots ,Macroecology ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,Global and Planetary Change ,Ecology ,vascular plant ,Vegetation ,F70 - Taxonomie végétale et phytogéographie ,PE&RC ,Vegetation plot ,Geography ,580: Pflanzen (Botanik) ,Ecosystems Research ,Diffusion de l'information ,Plantenecologie en Natuurbeheer ,Vegetatie, Bos- en Landschapsecologie ,Biodiversité ,ARCHIVE ,Communauté végétale ,Evolution ,[SDE.MCG]Environmental Sciences/Global Changes ,Biogéographie ,GRASSLAND VEGETATION ,Plant Ecology and Nature Conservation ,[SDV.BID]Life Sciences [q-bio]/Biodiversity ,010603 evolutionary biology ,Behavior and Systematics ,Couverture végétale ,577: Ökologie ,PLANT ,purl.org/becyt/ford/1.6 [https] ,functional trait ,Biology ,Ecology, Evolution, Behavior and Systematics ,Vegetatie ,010604 marine biology & hydrobiology ,Impact sur l'environnement ,DRY GRASSLANDS ,Plant community ,15. Life on land ,Végétation ,WETLAND VEGETATION ,Earth and Environmental Sciences ,UNIVERSITY ,Physical geography ,Vegetation, Forest and Landscape Ecology ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,données ouvertes - Abstract
Datos disponibles en https://github.com/fmsabatini/sPlotOpen_Code, EU H2020 project BACI, Grant No. 640176 (...), Sabatini, F.M., Lenoir, J., Hattab, T., Arnst, E.A., Chytrý, M., Dengler, J., De Ruffray, P., Hennekens, S.M., Jandt, U., Jansen, F., Jiménez-Alfaro, B., Kattge, J., Levesley, A., Pillar, V.D., Purschke, O., Sandel, B., Sultana, F., Aavik, T., Aćić, S., Acosta, A.T.R., Agrillo, E., Alvarez, M., Apostolova, I., Arfin Khan, M.A.S., Arroyo, L., Attorre, F., Aubin, I., Banerjee, A., Bauters, M., Bergeron, Y., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Bonari, G., Bondareva, V., Brunet, J., Čarni, A., Casella, L., Cayuela, L., Černý, T., Chepinoga, V., Csiky, J., Ćušterevska, R., De Bie, E., de Gasper, A.L., De Sanctis, M., Dimopoulos, P., Dolezal, J., Dziuba, T., El-Sheikh, M.A.E.-R.M., Enquist, B., Ewald, J., Fazayeli, F., Field, R., Finckh, M., Gachet, S., Galán-de-Mera, A., Garbolino, E., Gholizadeh, H., Giorgis, M., Golub, V., Alsos, I.G., Grytnes, J.-A., Guerin, G.R., Gutiérrez, A.G., Haider, S., Hatim, M.Z., Hérault, B., Hinojos Mendoza, G., Hölzel, N., Homeier, J., Hubau, W., Indreica, A., Janssen, J.A.M., Jedrzejek, B., Jentsch, A., Jürgens, N., Kącki, Z., Kapfer, J., Karger, D.N., Kavgacı, A., Kearsley, E., Kessler, M., Khanina, L., Killeen, T., Korolyuk, A., Kreft, H., Kühl, H.S., Kuzemko, A., Landucci, F., Lengyel, A., Lens, F., Lingner, D.V., Liu, H., Lysenko, T., Mahecha, M.D., Marcenò, C., Martynenko, V., Moeslund, J.E., Monteagudo Mendoza, A., Mucina, L., Müller, J.V., Munzinger, J., Naqinezhad, A., Noroozi, J., Nowak, A., Onyshchenko, V., Overbeck, G.E., Pärtel, M., Pauchard, A., Peet, R.K., Peñuelas, J., Pérez-Haase, A., Peterka, T., Petřík, P., Peyre, G., Phillips, O.L., Prokhorov, V., Rašomavičius, V., Revermann, R., Rivas-Torres, G., Rodwell, J.S., Ruprecht, E., Rūsiņa, S., Samimi, C., Schmidt, M., Schrodt, F., Shan, H., Shirokikh, P., Šibík, J., Šilc, U., Sklenář, P., Škvorc, Ž., Sparrow, B., Sperandii, M.G., Stančić, Z., Svenning, J.-C., Tang, Z., Tang, C.Q., Tsiripidis, I., Vanselow, K.A., Vásquez Martínez, R., Vassilev, K., Vélez-Martin, E., Venanzoni, R., Vibrans, A.C., Violle, C., Virtanen, R., von Wehrden, H., Wagner, V., Walker, D.A., Waller, D.M., Wang, H.-F., Wesche, K., Whitfeld, T.J.S., Willner, W., Wiser, S.K., Wohlgemuth, T., Yamalov, S., Zobel, M., Bruelheide, H.
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- 2021
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15. Diversity of wet and mesic grasslands along a climatic gradient on the southern margin of the Pannonian Basin
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Željko Škvorc, Ružica Igić, Miloš Ilić, Igor Zelnik, Dragana Vukov, Mirjana Ćuk, Andraž Čarni, Jozo Franjić, and Daniel Krstonošić
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0106 biological sciences ,Ecology ,Phytosociology ,Vegetation classification ,Pannonian basin ,environmental gradient, macroclimate, meadows, Molinio-Arrhentheretea, pastures, phytosociology, relevés, vegetation classification ,Management, Monitoring, Policy and Law ,010603 evolutionary biology ,01 natural sciences ,Geography ,Climatic gradient ,Margin (machine learning) ,Physical geography ,010606 plant biology & botany ,Nature and Landscape Conservation ,Environmental gradient ,Diversity (business) - Abstract
© 2020 The Authors. Applied Vegetation Science published by John Wiley & Sons Ltd on behalf of International Association for Vegetation Science Questions: Which are the main wet and mesic grassland vegetation types along the climatic gradient on the southern margin of the Pannonian basin? Which are the most important environmental gradients that determine their distribution and species composition?. Location: The southern margin of the Pannonian plain (N and E Slovenia, N Croatia, N Serbia). Methods: A database of 2,575 vegetation plots originally assigned to the Molinio-Arrhenatheretea was compiled. Semi-supervised classification based on the K-means algorithm was applied to assign plots into 12 a-priori alliances and to search for new alliances. Non-metric Multidimensional Scaling (NMDS) ordination with Ellenberg's indicator values and bioclimatic variables were applied to show the influence of ecological conditions on species composition. The plots within each alliance were further classified into associations using the beta flexible method. Results: Classification resulted in 12 alliances recognized in the EuroVegChecklist, and two new groups appeared. The first group occurs in the eastern part of the research area, where many ruderal species appear. This group was treated as a new alliance, Salvio nemorosae-Arrhenatherion forming a vicariant syntaxon of the alliance Arrhenatherion. The second group occurs in the western part. It is a transitional group between mesic (Arrhenatherion) and wet meadows (Deschampsion) and can be treated as Alopecurion. Besides, three new associations and six new subassociations were described, together with the typification of seven associations and of three subassociations. Numerical analyses revealed floristic, ecological and geographical differentiation among analysed vegetation types. Conclusions: The communities showed typical Central European features in the western part, but their floristic and ecological conditions changed towards the eastern part, where the continental influence was more pronounced. The vegetation structure and plant species composition in the studied area were influenced by soil moisture and soil nutrient availability as well as by strong biogeographical and climatic gradients.
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- 2020
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16. Dimensions of invasiveness: Links between local abundance, geographic range size, and habitat breadth in Europe's alien and native floras
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Patrick Weigelt, Steven Jansen, Bruno Enrico Leone Cerabolini, Jonathan Lenoir, Fons van der Plas, Jan Pergl, Jens-Christian Svenning, Franz Essl, Jane A. Catford, Adam R. Martin, Arildo S. Dias, Ute Jandt, Milan Chytrý, Rubén H. Heleno, Sean T. Michaletz, Idoia Biurrun, Chaeho Byun, Grzegorz Swacha, Maria Laura Carranza, Fabio Attorre, Hans Henrik Bruun, Tomáš Peterka, Eduardo Chacón-Madrigal, Erwin Bergmeier, Iris de Ronde, Hanno Seebens, Mark van Kleunen, Andraž Čarni, Corrado Marcenò, Petr Pyšek, Markus Bernhardt-Römermann, Anna Kuzemko, Armin Macanović, Nate Hough-Snee, Kiril Vassilev, Remigiusz Pielech, Filip Küzmič, Steffen Boch, Angela Stanisci, Akira Mori, Florian Jansen, Trevor S. Fristoe, Mária Šibíková, Pablo Vargas, Renata Ćušterevska, Noëlie Maurel, Solvita Rūsiņa, Valerijus Rašomavičius, Gianmaria Bonari, Valentin Golub, Rense Haveman, Wayne Dawson, Zoltán Botta-Dukát, Qiang Yang, Ülo Niinemets, Daniela Ciccarelli, Jürgen Dengler, Holger Kreft, Urban Šilc, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Centre National de la Recherche Scientifique (CNRS)-Université de Picardie Jules Verne (UPJV), and Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)
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0106 biological sciences ,Flora ,enemy release ,[SDE.MCG]Environmental Sciences/Global Changes ,media_common.quotation_subject ,Enemy release ,invasion successforms of raritydistribution–abundance relationshipenemy releaseleaf economic spectrum ,Plant Ecology and Nature Conservation ,[SDV.BID]Life Sciences [q-bio]/Biodiversity ,Alien ,Leaf economic spectrum ,distribution–abundance relationship ,invasion success, forms of rarity, distribution–abundance relationship, enemy release, leaf economic spectrum ,010603 evolutionary biology ,01 natural sciences ,Abundance (ecology) ,ddc:570 ,invasion success, forms of rarity, distribution-abundance relationship, enemy release, leaf economic spectrum ,forms of rarity ,Forms of rarity ,Invasion success ,Alien species ,Ecosystem ,media_common ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,Multidisciplinary ,leaf economic spectrum ,Ecology ,distribution-abundance relationship ,invasion success ,010604 marine biology & hydrobiology ,Vegetation ,15. Life on land ,Plants ,Biological Sciences ,Distribution-abundance relationship ,Defensie ,Europe ,Phylogeography ,580: Pflanzen (Botanik) ,Geography ,Habitat ,Plantenecologie en Natuurbeheer ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Introduced Species ,Distribution–Abundance relationship ,Diversity (politics) - Abstract
Understanding drivers of success for alien species can inform on potential future invasions. Recent conceptual advances highlight that species may achieve invasiveness via performance along at least three distinct dimensions: 1) local abundance, 2) geographic range size, and 3) habitat breadth in naturalized distributions. Associations among these dimensions and the factors that determine success in each have yet to be assessed at large geographic scales. Here, we combine data from over one million vegetation plots covering the extent of Europe and its habitat diversity with databases on species' distributions, traits, and historical origins to provide a comprehensive assessment of invasiveness dimensions for the European alien seed plant flora. Invasiveness dimensions are linked in alien distributions, leading to a continuum from overall poor invaders to super invaders - abundant, widespread aliens that invade diverse habitats. This pattern echoes relationships among analogous dimensions measured for native European species. Success along invasiveness dimensions was associated with details of alien species' introduction histories: earlier introduction dates were positively associated with all three dimensions, and consistent with theory-based expectations, species originating from other continents, particularly acquisitive growth strategists, were among the most successful invaders in Europe. Despite general correlations among invasiveness dimensions, we identified habitats and traits associated with atypical patterns of success in only one or two dimensions - for example, the role of disturbed habitats in facilitating widespread specialists. We conclude that considering invasiveness within a multidimensional framework can provide insights into invasion processes while also informing general understanding of the dynamics of species distributions., Deutsche Forschungsgemeinschaft (264740629) Grantová Agentura České Republiky (19-28491X) Grantová Agentura České Republiky (19-28807X) Grantová Agentura České Republiky (RVO 67985939) Austrian Science Fund (I 2086 - B29) Bundesministerium für Bildung und Forschung (01LC1807A) Eusko Jaurlaritza (IT299-10) National Research Foundation of Korea (2018R1C1B6005351) University of Latvia (AAp2016/B041//Zd2016/AZ03) Villum Fonden (16549)
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- 2021
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17. Mapping species richness of plant families in European vegetation
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Renata Ćušterevska, Juan Antonio Campos, Jesper Erenskjold Moeslund, Maria Laura Carranza, Eszter Ruprecht, Irena Axmanová, Idoia Biurrun, Laura Casella, Pauline Delbosc, Kiril Vassilev, Thomas Wohlgemuth, Anni Jašková, Urban Šilc, Remigiusz Pielech, Željko Škvorc, Anna Kuzemko, Jan Divíšek, Gianmaria Bonari, Florian Jansen, Martin Večeřa, Jean-Claude Gégout, Jonathan Lenoir, Jozef Šibík, Andraž Čarni, Maria Vladimirovna Lebedeva, Ute Jandt, Grzegorz Swacha, Irina V. Tatarenko, Milan Chytrý, Zdeňka Lososová, Tatiana Lysenko, Josep Padullés Cubino, Federico Fernández-González, Alessandro Chiarucci, Steffen Boch, S. M. Yamalov, Ilona Knollová, Borja Jiménez-Alfaro, Jürgen Dengler, Svetlana Aćić, Czech Science Foundation, Eusko Jaurlaritza, Slovenian Research Agency, National Research Foundation of Ukraine, National Science Foundation (US), Vecera M., Axmanova I., Padulles Cubino J., Lososova Z., Divisek J., Knollova I., Acic S., Biurrun I., Boch S., Bonari G., Campos J.A., Carni A., Carranza M.L., Casella L., Chiarucci A., Custerevska R., Delbosc P., Dengler J., Fernandez-Gonzalez F., Gegout J.-C., Jandt U., Jansen F., Jaskova A., Jimenez-Alfaro B., Kuzemko A., Lebedeva M., Lenoir J., Lysenko T., Moeslund J.E., Pielech R., Ruprecht E., Sibik J., Silc U., Skvorc Z., Swacha G., Tatarenko I., Vassilev K., Wohlgemuth T., Yamalov S., Chytry M., Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), and Centre National de la Recherche Scientifique (CNRS)-Université de Picardie Jules Verne (UPJV)
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0106 biological sciences ,[SDE.MCG]Environmental Sciences/Global Changes ,Biodiversity ,[SDV.BID]Life Sciences [q-bio]/Biodiversity ,Plant Science ,Plant community ,010603 evolutionary biology ,01 natural sciences ,Diversity index ,relative species richne ,biodiversity, Europe, European Vegetation Archive, family-level taxonomy, macroecology, map, plant community, relative species richness, vascular plant family, vegetation ,Taxonomic rank ,Macroecology ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,Vegetation ,Ecology ,European Vegetation Archive ,food and beverages ,15. Life on land ,Europe ,Family-level taxonomy ,580: Pflanzen (Botanik) ,Geography ,Map ,Vascular plant family ,Species richness ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Relative species richness ,010606 plant biology & botany ,Global biodiversity - Abstract
Aims: Biodiversity is traditionally studied mostly at the species level, but biogeographical and macroecological studies at higher taxonomic levels can provide valuable insights into the evolutionary processes at large spatial scales. Our aim was to assess the representation of vascular plant families within different vegetation formations across Europe. Location: Europe. Methods: We used a data set of 816,005 vegetation plots from the European Vegetation Archive (EVA). For each plot, we calculated the relative species richness of each plant family as the number of species belonging to that family divided by the total number of species. We mapped the relative species richness, averaged across all plots in 50 km × 50 km grid cells, for each family and broad habitat groups: forests, grasslands, scrub and wetlands. We also calculated the absolute species richness and the Shannon diversity index for each family. Results: We produced 522 maps of mean relative species richness for a total of 152 vascular plant families occurring in forests, grasslands, scrub and wetlands. We found distinct spatial patterns for many combinations of families and habitat groups. The resulting series of 522 maps is freely available, both as images and GIS layers. Conclusions: The distinct spatial patterns revealed in the maps suggest that the relative species richness of plant families at the community level reflects the evolutionary history of individual families. We believe that the maps and associated data can inspire further biogeographical and macroecological studies and strengthen the ongoing integration of phylogenetic, functional and taxonomic diversity concepts., MV, IA, JPC, ZL, IK, AJ and MC were funded by the Czech Science Foundation, programme EXPRO (project no. 19-28491X); JDi by the Czech Science Foundation (18-02773S); IB and JAC by the Basque Government (IT936-16); AČ by the Slovenian Research Agency (ARRS, P1-0236); AK by the National Research Foundation of Ukraine (project no. 2020.01/0140); JŠ by the Slovak Research and Development Agency (APVV 16-0431); KV by the National Science Fund (Contract DCOST 01/7/19.10.2018).
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- 2021
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18. Classification of forest and shrubland vegetation in Mediterranean Turkey
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Andraž Čarni, Neslihan Balpinar, Ali Kavgaci, Gianmaria Bonari, Münevver Arslan, Milan Chytrý, and Hafize Handan Öner
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0106 biological sciences ,Mediterranean climate ,geography.geographical_feature_category ,Ecology ,Forestry ,Plant community ,Management, Monitoring, Policy and Law ,010603 evolutionary biology ,01 natural sciences ,Shrubland ,Vegetation types ,Deciduous ,Geography ,medicine ,medicine.symptom ,Vegetation (pathology) ,010606 plant biology & botany ,Nature and Landscape Conservation - Published
- 2021
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19. Anthropogenic disturbances alter the conservation value of karst dolines
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Andraž Čarni, Mateja Breg Valjavec, András Vojtkó, Csaba Tölgyesi, Gunnar Keppel, Tünde Farkas, Matija Zorn, Zoltán Bátori, Gábor Módra, Péter János Kiss, László Erdős, Bátori, Zoltán, Vojtkó, András, Keppel, Gunnar, Tölgyesi, Csaba, Čarni, Andraž, Zorn, Matija, Farkas, Tünde, Erdős, László, Kiss, Péter János, Módra, Gábor, and Breg Valjavec, Mateja
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0106 biological sciences ,010504 meteorology & atmospheric sciences ,Microclimate ,Biodiversity ,Context (language use) ,safe haven ,010603 evolutionary biology ,01 natural sciences ,logging ,vegetation ,Vulnerable species ,Ecology, Evolution, Behavior and Systematics ,0105 earth and related environmental sciences ,Nature and Landscape Conservation ,geography ,vulnerable species ,geography.geographical_feature_category ,Ecology ,Global warming ,Vegetation ,Karst ,climate change ,Habitat ,karst depression ,Environmental science ,microrefugia - Abstract
Dolines are depressions in karst landscapes that are of high value for conservation, providing habitats and supporting species not found in the surrounding landscape. This is due to their high microhabitat diversity and ability to decouple microclimate from regional climate changes, making them potential refugia for biodiversity. Nevertheless, local anthropogenic disturbances have had considerable impact on the species composition and vegetation structure of many dolines. Here we investigate the conservation value of dolines in three European karst areas, where different levels and types of anthropogenic disturbances have been shaping the vegetation for centuries, using the number of plant species that are cool-adapted, moist-adapted and of high conservation importance (i.e. vulnerable species) as indicators. We found that anthropogenic disturbances generally have a negative impact, reducing the number of vulnerable species supported by dolines. However, more cool-adapted and moist-adapted species were found in some dolines planted with non-native Picea abies than in less disturbed dolines, indicating that anthropogenic disturbances can also have positive consequences for biodiversity. We conclude that anthropogenic disturbances alter the capacity of dolines to support vulnerable species, and that this will impact survival of species in landscapes under global warming. In this context, the effects of various disturbances on species composition and diversity need to carefully considered to determine the best conservation and/or management options.
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- 2020
20. International Code of Phytosociological Nomenclature. 4th edition
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Helga Bültmann, Wolfgang Willner, Federico Fernández-González, Jean-Paul Theurillat, Andraž Čarni, Heinrich E. Weber, Daniela Gigante, and Ladislav Mucina
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0106 biological sciences ,phytosociological nomenclature ,History ,Ecology ,Steering committee ,phytosociology ,Library science ,Management, Monitoring, Policy and Law ,type ,010603 evolutionary biology ,01 natural sciences ,nomenclatural type ,Terminology ,International code ,name ,Taxon ,Type (biology) ,ICPN ,code ,effective publication ,syntaxonomy ,Nomenclature ,vegetation classification ,010606 plant biology & botany ,Nature and Landscape Conservation - Abstract
The fourth edition of the International Code of Phytosociological Nomenclature (ICPN) was prepared by the Steering Committee of the IAVS Working Group for Phytosociological Nomenclature (GPN). The edition consists of 14 Definitions, 7 Principles, 53 Articles, and 7 Appendices. When compared with the previous edition, the main amendments are: (a) the acceptance of electronic publications (Art. 1); (b) the introduction of binding decisions (Definition XIV, Principle II, Articles 1, 2b, 3c, 29b, 40, 42, 44, Appendices 6 and 7); (c) the mandatory use of the English or Latin terminology for syntaxonomic novelties (Definition II, Principle II, Articles 3d and 3i); (d) the introduction of autonyms for the main ranks when the corresponding secondary ranks are created (Articles 13b and 24); (e) the automatic correction of the taxon names (name‐giving taxa) used in the names of syntaxa in accordance with the International Code of Nomenclature for algae, fungi, and plants (ICN) (Article 44); (f) the possibility to mutate the name of a syntaxon in using other correct, alternative names for the name‐giving taxa (Article 45); (g) the introduction of inadequate names, a new category of rejected names (Definition V, Articles 43 through 45); and (h) the introduction of a conserved type (Definition XIII, Article 53). The fourth edition of ICPN was approved by the GPN on 25 May 2019 and becomes effectively binding on 1 January 2021.
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- 2021
21. Climate and socio-economic factors explain differences between observed and expected naturalization patterns of European plants around the world
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Juan Antonio Campos, Rasmus Ejrnæs, Alla V. Verkhozina, Patrick Weigelt, Iris de Ronde, V. B. Martynenko, Aleksandr L. Ebel, Renata Ćušterevska, Grzegorz Swacha, Qiang Yang, Jan Pergl, Florian Jansen, Ricarda Pätsch, Jean-Claude Gégout, Rense Haveman, Jörg Ewald, Panayotis Dimopoulos, Bernd Lenzner, Kiril Vassilev, Svetlana Aćić, Valerijus Rašomavičius, Borja Jiménez-Alfaro, Pavel Shirokikh, Franz Essl, Robin Pouteau, Jonathan Lenoir, Maria Laura Carranza, Michele de Sá Dechoum, Andraž Čarni, Jürgen Dengler, Milan Valachovič, Zvjezdana Stančić, Pavel Dan Turtureanu, Jens-Christian Svenning, Anna Kuzemko, Holger Kreft, Laura Casella, Ali Kavgaci, Ute Jandt, Caroline Brunel, Urban Šilc, Giuliano Fanelli, Jozef Šibík, Mark van Kleunen, Eszter Ruprecht, Michele De Sanctis, Emiliano Agrillo, Trevor S. Fristoe, Idoia Biurrun, Zoltán Botta-Dukát, Nejc Jogan, Wayne Dawson, Fabio Attorre, Rosario G. Gavilán, Jesper Erenskjold Moeslund, Elena Yu. Zykova, Carsten Hobohm, Corrado Marcenò, Ori Fragman-Sapir, Solvita Rūsiņa, Gianmaria Bonari, Maike Isermann, Maria Vladimirovna Lebedeva, Ariel Bergamini, Helge Bruelheide, Milan Chytrý, Angela Stanisci, Carsten Meyer, Barry John Conn, Tatiana Lysenko, Erwin Bergmeier, Larisa Khanina, Petr Pyšek, Christian Berg, Remigiusz Pielech, Wilfried Thuiller, Federico Fernández-González, Steffen Boch, S. M. Yamalov, Ilona Knollová, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Recherche pour le Développement (IRD [France-Sud]), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Europa-Universität Flensburg, Taizhou University, The University of Sydney, Duke University [Durham], Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis] (UFSC), Tomsk State University [Tomsk], Siberian Branch of the Russian Academy of Sciences (SB RAS), University of Vienna [Vienna], The Hebrew University of Jerusalem (HUJ), University of Konstanz, University of Ljubljana, SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), National Natural Science Foundation of China, Volkswagen Foundation, German Research Foundation, Czech Science Foundation, Comunidad de Madrid, Villum Fonden, and Durham University
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0106 biological sciences ,Range (biology) ,Species distribution ,alien species ,010603 evolutionary biology ,01 natural sciences ,Invasive species ,антропогенная нагрузка ,систематическая ошибка выборки ,Antrophogenic pressure ,ddc:570 ,introduction pathway ,чужеродные виды ,577: Ökologie ,functional trait ,экологический фактор ,alien species, anthropogenic pressure, environmental driver, functional trait, global change, introduction pathway, naturalization, ornamental plant, sampling bias, species distribution model ,Ecology, Evolution, Behavior and Systematics ,global change ,декоративные растения ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,Global and Planetary Change ,Ecology ,environmental driver ,species distribution model ,010604 marine biology & hydrobiology ,ornamental plant ,anthropogenic pressure ,naturalization ,sampling bias ,Species distribution model ,Global change ,15. Life on land ,климатические факторы ,Taxon ,Geography ,580: Pflanzen (Botanik) ,Habitat ,Disturbance (ecology) ,модели распространения видов ,[SDE]Environmental Sciences ,функциональные признаки ,натурализация ,Species richness - Abstract
Pouteau, R., et al., [Aim] The number of naturalized (i.e. established) alien species has increased rapidly over recent centuries. Given the differences in environmental tolerances among species, little is known about what factors determine the extent to which the observed size of the naturalized range of a species and hence the extent to which the observed richness of naturalized species of a region approach their full potential. Here, we asked which region- and species-specific characteristics explain differences between observed and expected naturalizations. [Location] Global. [Time period] Present. [Major taxa studied] Vascular plants. [Methods] We determined the observed naturalized distribution outside Europe for 1,485 species endemic to Europe using the Global Naturalized Alien Flora (GloNAF) database and their expected distributions outside Europe using species distribution models. First, we investigated which of seven socio-economic factors related to introduction pathways, anthropogenic pressures and inventory effort best explained the differences between observed and expected naturalized European floras. Second, we examined whether distributional features, economic use and functional traits explain the extent to which species have filled their expected ranges outside Europe. Results: In terms of suitable area, more than 95% of expected naturalizations of European plants were not yet observed. Species were naturalized in only 4.2% of their suitable regions outside of Europe (range filling) and in 0.4% of their unsuitable regions (range expansion). Anthropogenic habitat disturbance primarily explained the difference between observed and expected naturalized European floras, as did the number of treaties relevant to invasive species. Species of ornamental and economic value and with large specific leaf area performed better at filling and expanding beyond their expected range. Main conclusions: The naturalization of alien plant species is explained by climate matching but also by the regional level of human development, the introduction pressure associated with the ornamental and economic values of the species and their adaptation to disturbed environments., Robin Pouteau was supported by the National Natural Science Foundation of China (grant number 31901176) and Taizhou University (2018YQ001). Carsten Meyer acknowledges funding by the Volkswagen Foundation through a Freigeist Fellowship (A118199), and additional support by iDiv, funded by the German Research Foundation (DFG–FZT 118, 202548816). Petr Pyšek and Jan Pergl were supported by the Czech Science Foundation (EXPRO grant 19-28807X) and the Czech Academy of Sciences (long-term research development project RVO 67985939). Idoia Biurrun and Juan Antonio Campos were supported by the Basque Government (IT936-16). Gianmaria Bonari, Milan Chytrý, Ilona Knollová, Anna Kuzemko and Corrado Marcenò were supported by the Czech Science Foundation (19-28491X). Rosario G. Gavilán was supported by Madrid Government project REMEDINAL (P2018/EMT-4338). Jens-Christian Svenning considers this work a contribution to his VILLUM Investigator project ‘Biodiversity Dynamics in a Changing World’ funded by VILLUM FONDEN (16549). Mark van Kleunen was supported by the German Research Foundation DFG (264740629). The authors appreciate the helpful comments by three anonymous referees and the Handling Editor, Melodie A. McGeoch.
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- 2021
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22. The relationship between niche breadth and range size of beech (Fagus) species worldwide
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Cindy Q. Tang, Andraž Čarni, Jianxiao Zhu, Wenjing Fang, Francesco Maria Sabatini, Hamid Gholizadeh, Wolfgang Willner, Zhiyao Tang, Jens-Christian Svenning, Robert K. Peet, Franziska Schrodt, Adrian Indreica, Chengjun Ji, Remigiusz Pielech, Jonathan Lenoir, Süleyman Çoban, Jiangling Zhu, Dirk Nikolaus Karger, József Pál Frink, Jingyun Fang, Richard Field, Kubota Yasuhiro, Juan Antonio Campos, Jiri Dolezal, Erik Welk, Qiong Cai, Michele De Sanctis, Helge Bruelheide, Ioannis Tsiripidis, Milan Chytrý, Ute Jandt, Fabio Attorre, Jürgen Dengler, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Cai Q., Welk E., Ji C., Fang W., Sabatini F.M., Zhu J., Tang Z., Attorre F., Campos J.A., Carni A., Chytry M., Coban S., Dengler J., Dolezal J., Field R., Frink J.P., Gholizadeh H., Indreica A., Jandt U., Karger D.N., Lenoir J., Peet R.K., Pielech R., De Sanctis M., Schrodt F., Svenning J.-C., Tang C.Q., Tsiripidis I., Willner W., Yasuhiro K., Fang J., and Bruelheide H.
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0106 biological sciences ,Range (biology) ,[SDE.MCG]Environmental Sciences/Global Changes ,Niche ,niche evolution ,[SDV.BID]Life Sciences [q-bio]/Biodiversity ,010603 evolutionary biology ,01 natural sciences ,co-occurrence data ,niche breadth ,Fagus ,geographical range size ,Beech ,Ecology, Evolution, Behavior and Systematics ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,Fagu ,climatic niche ,deciduous species ,Fagus, geographical range size ,phylogenetic signal ,temperate forest flora ,vegetation-plot data ,Ecology ,biology ,Phylogenetic tree ,Vegetation ,15. Life on land ,biology.organism_classification ,Deciduous ,Taxon ,580: Pflanzen (Botanik) ,deciduous specie ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Temperate rainforest ,010606 plant biology & botany - Abstract
Aim: This work explores whether the commonly observed positive range size-niche breadth relationship exists for Fagus, one of the most dominant and widespread broad-leaved deciduous tree genera in temperate forests of the Northern Hemisphere. Additionally, we ask whether the 10 extant Fagus species' niche breadths and climatic tolerances are under phylogenetic control. Location: Northern Hemisphere temperate forests. Taxon: Fagus L. Methods: Combining the global vegetation database sPlot with Chinese vegetation data, we extracted 107,758 releves containing Fagus species. We estimated biotic and climatic niche breadths per species using plot-based co-occurrence data and a resource-based approach, respectively. We examined the relationships of these estimates with range size and tested for their phylogenetic signal, prior to which a Random Forest (RF) analysis was applied to test which climatic properties are most conserved across the Fagus species. Results: Neither biotic niche breadth nor climatic niche breadth was correlated with range size, and the two niche breadths were incongruent as well. Notably, the widespread North American F. grandifolia had a distinctly smaller biotic niche breadth than the Chinese Fagus species (F. engleriana, F. hayatae, F. longipetiolata and F. lucida) with restricted distributions in isolated mountains. The RF analysis revealed that cold tolerance did not differ among the 10 species, and thus may represent an ancestral, fixed trait. In addition, neither biotic nor climatic niche breadths are under phylogenetic control. Main Conclusions: We interpret the lack of a general positive range size-niche breadth relationship within the genus Fagus as a result of the widespread distribution, high among-region variation in available niche space, landscape heterogeneity and Quaternary history. The results hold when estimating niche sizes either by fine-scale co-occurrence data or coarse-scale climate data, suggesting a mechanistic link between factors operating across spatial scales. Besides, there was no evidence for diverging ecological specialization within the genus Fagus. National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC); Ministry of Science and Technology of ChinaMinistry of Science and Technology, China; National Key Research and Development Program of China; Grantova Agentura Ceske RepublikyGrant Agency of the Czech Republic; Chinese Scholarship CouncilChina Scholarship Council; Independent Research Fund Denmark; Villum Fonden; German Research FoundationGerman Research Foundation (DFG); Ministry of Education, Youth and Sport of the Czech Republic, program Inter-Excellence; Natural Sciences project TREECHANGE National Natural Science Foundation of China; Ministry of Science and Technology of China; National Key Research and Development Program of China; Grantova Agentura Ceske Republiky; Chinese Scholarship Council; Independent Research Fund Denmark; Natural Sciences project TREECHANGE; Villum Fonden; German Research Foundation; Ministry of Education, Youth and Sport of the Czech Republic, program Inter-Excellence
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- 2021
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23. EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats
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Viktor Onyshchenko, Rosario G. Gavilán, Mirjana Ćuk, Tatiana Braslavskaya, Eleni Tryfon, Andraž Čarni, Andrey Yu. Korolyuk, Tetiana Dziuba, Anni Jašková, Milan Valachovič, Lise Maciejewski, Denys Vynokurov, Friedemann Goral, Mette Palitzsch Lund, Ali Kavgaci, Joachim Schrautzer, Els De Bie, Olga N. Demina, Pavel Novák, Elena B. Tikhonova, Michal Hájek, Jozef Šibík, I. A. Lavrinenko, Helge Bruelheide, Jan B.M.J. Jansen, Yakiv Didukh, Anna Kuzemko, Pauline Delbosc, Florian Jansen, Ulrich Graf, Lubomír Tichý, Maike Isermann, Maria Vladimirovna Lebedeva, Rania Spyropoulou, Tomáš Peterka, Daniel Dítě, Veronika Kalníková, O. V. Lavrinenko, Aleksander Marinšek, Oleg L. Kuznetsov, Constantin Mardari, Nadezhda Goncharova, Idoia Biurrun, Wolfgang Willner, Renata Ćušterevska, Valentin Golub, Gianpietro Giusso del Galdo, Laura Casella, Željko Škvorc, Stephan M. Hennekens, Domas Uogintas, Joop H.J. Schaminée, Jürgen Dengler, Jörg Ewald, Viktor A. Smagin, Maxim G. Napreenko, Vadim Prokhorov, Larisa Khanina, Zdeňka Lososová, Corrado Marcenò, Ute Jandt, Zygmunt Kącki, Remigiusz Pielech, Svetlana Aćić, Valerijus Rašomavičius, János Bölöni, Adrian Indreica, Jiří Danihelka, Solvita Rūsiņa, Gianmaria Bonari, Fabio Attorre, Kiril Vassilev, Martin Jiroušek, Steffen Boch, Tatiana Lysenko, Aaron Pérez-Haase, S. M. Yamalov, John Janssen, Ilona Knollová, Urban Šilc, Dominik Zukal, Māris Laiviņš, Emiliano Agrillo, Zvjezdana Stančić, Milan Chytrý, Sylvain Abdulhak, Mariya Kozhevnikova, Erwin Bergmeier, John S. Rodwell, Flavia Landucci, Filip Küzmič, Angela Stanisci, Douglas Evans, Maria Pilar Rodríguez Rojo, Borja Jiménez-Alfaro, Ladislav Mucina, Juan Antonio Campos, Jean Claude Gégout, Tiina Tonteri, SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Patrimoine naturel (PatriNat), and Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Office français de la biodiversité (OFB)
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0106 biological sciences ,Bos- en Landschapsecologie ,coastal habitat ,diagnostic species ,distribution map ,dune vegetation, European Nature Information System (EUNIS) ,European Vegetation Archive (EVA) ,expert system ,forest ,grassland ,habitat classification ,man-made habitat ,shrubland ,vegetation database ,vegetation plot ,wetland ,Biodiversity ,Distribution (economics) ,Wetland ,computer.software_genre ,01 natural sciences ,Grassland ,Forest and Landscape Ecology ,Plant ecology ,biodiversity ,geography.geographical_feature_category ,Ecology ,Vegetation ,PE&RC ,Europe ,Geography ,Habitat ,Vegetatie, Bos- en Landschapsecologie ,Europa ,European Nature Information System (EUNIS) ,Cartography ,dune vegetation ,Habitat (Ecology) ,databases ,Hàbitat (Ecologia) ,Management, Monitoring, Policy and Law ,010603 evolutionary biology ,Shrubland ,vegetation ,invasions ,14. Life underwater ,577: Ökologie ,Vegetatie ,Nature and Landscape Conservation ,forests ,business.industry ,Ecologia vegetal ,wetland formalized classification ,alien plants ,15. Life on land ,Expert system ,fidelity ,example ,Vegetation, Forest and Landscape Ecology ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,business ,man‐made habitat ,computer ,010606 plant biology & botany - Abstract
Aim The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation-plot records to the habitats of the EUNIS system, use it to classify a European vegetation-plot database, and compile statistically-derived characteristic species combinations and distribution maps for these habitats. Location Europe. Methods We developed the classification expert system EUNIS-ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each habitat was formally defined as a formula in a computer language combining algebraic and set-theoretic concepts with formal logical operators. We applied this expert system to classify 1,261,373 vegetation plots from the European Vegetation Archive (EVA) and other databases. Then we determined diagnostic, constant and dominant species for each habitat by calculating species-to-habitat fidelity and constancy (occurrence frequency) in the classified data set. Finally, we mapped the plot locations for each habitat. Results Formal definitions were developed for 199 habitats at Level 3 of the EUNIS hierarchy, including 25 coastal, 18 wetland, 55 grassland, 43 shrubland, 46 forest and 12 man-made habitats. The expert system classified 1,125,121 vegetation plots to these habitat groups and 73,188 to other habitats, while 63,064 plots remained unclassified or were classified to more than one habitat. Data on each habitat were summarized in factsheets containing habitat description, distribution map, corresponding syntaxa and characteristic species combination. Conclusions EUNIS habitats were characterized for the first time in terms of their species composition and distribution, based on a classification of a European database of vegetation plots using the newly developed electronic expert system EUNIS-ESy. The data provided and the expert system have considerable potential for future use in European nature conservation planning, monitoring and assessment. The previous versions of the expert system and related reports were produced within a contract from the European Environment Agency to Wageningen Environmental Research and Masaryk University. The opinions expressed are those of the contractor and do not represent the Agency's official position. EVA data management and preparation of this paper were supported by the Czech Science Foundation (project no. 19-28491X to MC, LT, IK, TP, CM, JDa, MH, PN, DZ, GB, AJ, AKu, ZL and DV). IB and JAC were supported by the Basque Government (project no. T936-16). TB, ET, and LK were supported by the Ministry of Science and Higher Education of the Russian Federation (TB and ET project no. AAAA-A18-118052590019-7; LK project no. AAAA-A19-119012490096-2).
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- 2020
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24. Syntaxonomy and biogeography of dry grasslands on calcareous substrates in the central and southern Balkans
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Ladislav Mucina, Vlado Matevski, Andraž Čarni, Mitko Kostadinovski, and Renata Ćušterevska
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0106 biological sciences ,Mediterranean climate ,geography ,geography.geographical_feature_category ,Ecology ,Bedrock ,Biogeography ,Context (language use) ,Vegetation ,Management, Monitoring, Policy and Law ,010603 evolutionary biology ,01 natural sciences ,Grassland ,Ordination ,Indicator value ,Physical geography ,010606 plant biology & botany ,Nature and Landscape Conservation - Abstract
Questions Which major syntaxa of dry grasslands supported by carbonate bedrock occur in the Central and South Balkans? What is their position along major ecological gradients and in context of phytogeographic patterns of the region?. Location Central and South Balkans, incl. Western Bulgaria, Northern Greece, Kosovo, Macedonia (FYROM) and Serbia. Methods We compiled a matrix of 660 releves of dry grasslands over lime-rich bedrocks, previously classified in the Festuco-Brometea. We applied clustering techniques to classify separately synoptic and releve data, and applied non-metric multidimensional scaling with passive projection of indicator values, climatic data, and biogeographic geo-elements onto ordination diagrams to assist interpretation of the syntaxonomic patterns. We constructed elevation distribution profiles for alliances and classes of grasslands of several grassland classes from a broader study area to elucidate the relationship of the elevational sorting of the syntaxa in relation to latitude. Results The analysis revealed six major vegetation types, classified into four orders: (1) Stipo pulcherrimae-Festucetalia pallentis, incl. (sub)montane rocky steppic grasslands of the Saturejion montanae of Central Balkans, and the Koelerio-Festucion dalmaticae—submontane rocky grasslands of southern Serbia and Kosovo; (2) Astragalo onobrychidis-Potentilletalia represented by the Saturejo-Thymion (low-elevation steppic grasslands of Southern Balkans); (3) Festucetalia valesiacae represented by grasslands on deep-soil and low-elevation of Northern Greece, and finally (4) high-elevation rocky grasslands of Southern Balkans, classified as a new alliance—the Diantho haematocalycis-Festucion hirtovaginatae that might belong to a new, yet undescribed syntaxonomic order. Ordination suggests that the major differentiation of the high-rank syntaxa follows north-south geographical and low-high elevational gradients. Conclusions Because of the transitional biogeographic position of the studied region as well as considerable large elevation span across latitudes, the diversity of vegetation types is high. The indication a putative new dry-grassland order the mid-high altitudes of the Southern Balkans points upon a necessity of re-assessing the Balkan vegetation occupying the community niche between the low-elevation dry grasslands (Festuco-Brometea) and those typical of high elevations (Elyno-Seslerietea and Daphno-Festucetea), seeking parallels to patterns described from the Western Alps, Pyrenees, and Apennines. This syntaxonomic unit is poised to expand the concept of the Festuco hystricis-Ononidetea striatae to the Balkans. This article is protected by copyright. All rights reserved.
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- 2018
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25. Turnover of Plant Species on an Ecological Gradient in Karst Dolines Is Reflected in Plant Traits: Chorotypes, Life Forms, Plant Architecture and Strategies.
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Jakob, Aljaž, Breg Valjavec, Mateja, and Čarni, Andraž
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PLANT species ,KARST ,BIOGEOGRAPHY ,TRANSECT method ,PHYTOGEOGRAPHY ,CHEMICAL plants - Abstract
We analyzed plants and their traits in dolines, which are characteristic enclosed terrain depressions on carbonate (karst) plateaus. These landforms range from a few meters to over 100 m in diameter, their depth generally varying from a few meters to a few tens of meters. A pronounced ecological gradient can be found from the bottom to the top, starting from humid, cool and shaded bottoms to sunny, dry and warm slopes and tops. We sampled dolines of various depths and analyzed the distribution of plant species on the gradient and how this distribution is reflected in plant traits: chorotypes, life forms, plant architecture and strategies. We used the transect method and sampled the floristic composition from the doline bottom to the top. We collected information about plant traits from various literature sources. The results show life forms and plant architecture explain this gradient well and, to a lesser extent, also chorotypes, but functional strategies have a low explanatory power. Life forms and plant architecture are the result of adaptation of species to the environment, and chorotypes are defined as species with an overlapping geographical distribution pattern due to their distribution and environmental histories. Functional strategies, which have evolved to enable plants to succeed in various environments, unexpectedly have a low explanatory power. [ABSTRACT FROM AUTHOR]
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- 2022
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26. Study of Forage Quality of Grasslands on the Southern Margin of the Pannonian Basin
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Andraž Čarni, Mirjana Ćuk, Željko Škvorc, and Daniel Krstonošić
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0106 biological sciences ,functional group ,Forage ,010603 evolutionary biology ,01 natural sciences ,Pasture ,Grassland ,vegetation ,ecological strategy ,Grazing ,grazing ,mowing ,2. Zero hunger ,geography ,geography.geographical_feature_category ,Ecology ,Agriculture ,Vegetation ,15. Life on land ,Habitat ,Ordination ,Indicator value ,Agronomy and Crop Science ,010606 plant biology & botany - Abstract
Since grasslands provide many ecosystem services, there are often different opinions on their management (e.g., agronomy, ecology, botany). Multidisciplinary research on this topic is therefore needed. This article focuses on the impact of ecological conditions, functional groups, ecological strategies, floristic composition (through habitat preference of species), major floristic gradients (presented as first two NMDS axes), and the management of forage quality. We estimated the forage quality using indicator values. All of the available vegetation plots in the region on wet and mesic meadows, managed pastures, and tall-herb meadow/pasture fringes on deeper or shallower soils (i.e., grasslands) were collected, organized in a database, and elaborated according to standard procedure. We used a widely accepted grassland classification system that uses floristic composition to define grassland types. Based on an NMDS ordination diagram and according to functional groups, ecological strategies, and habitat preferences (behavior of species) and management, we defined three major groups: mesic meadows (mowed), wet meadows (mowed), and pastures (grazed). We correlated all groups’ functional groups, ecological strategies, habitat preferences (behavior of species), major floristic gradients, management, and forage quality. We found that forage quality mainly depends on moisture conditions and that nutrients and grazing are less important. Within the grasslands under consideration, mesic meadows and mesic pastures have the highest forage quality. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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- 2021
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27. Prediction of the appearance of tree of heaven in forest communities in western Slovenia
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Andraž Čarni, Nina Juvan Mastnak, Igor Dakskobler, Lado Kutnar, Urban Šilc, and Aleksander Marinšek
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Ailanthus altissima ,geography.geographical_feature_category ,biology ,Ecology ,business.industry ,Bedrock ,Forest management ,Endangered species ,Distribution (economics) ,04 agricultural and veterinary sciences ,General Medicine ,010501 environmental sciences ,biology.organism_classification ,01 natural sciences ,General Biochemistry, Genetics and Molecular Biology ,Floristics ,Invasive species ,Geography ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Social ecological model ,invasive species ,distribution model ,traits ,General Agricultural and Biological Sciences ,business ,0105 earth and related environmental sciences - Abstract
Background and Purpose: Tree of heaven (Ailanthus altissima) is one of the most invasive tree species in Slovenia. Since its invasion into forests is expected, we must raise public awareness and prepare guidelines for forest management in the presence of invasive species. The aim of the research was to predict the potential distribution of tree of heaven, to detect the most endangered forest communities and to discover what characteristics of forest stands make them susceptible.Materials and methods: From databases, literature sources and field observations, we collected all localities in which tree of heaven appears. We assigned these localities geological, geomorphological, soil and climatic data. We then built an ecological model and prepared a map of potential distribution. Based on the modelled future distribution of tree of heaven, we randomly selected and sampled 50 plots in the area in which invasion is expected and beyond this area. We analyzed their morphological and ecological strategies, ecological condition, origin and social behavior spectrum.Results: We found that it has the largest invasive potential in western Slovenia. The model showed that the most susceptible forest communities appear in warm areas with pronounced climatic seasonality. Many differences occur in floristics and plant traits of forest communities in extreme positions, in terms of susceptibility to invasion, but in transitional areas, these differences are not so obvious, only a higher pH of soil and absence of species characteristic of acidophilus communities are an indicator of vulnerability.Conclusion: Susceptibility to invasion by tree of heaven is mainly influenced by macro-climatic conditions; in the transitional zone, communities thriving on shallow, carbonate bedrock are more vulnerable.
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- 2017
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28. Vegetation of Croatia: Phytosociological classification of the high-rank syntaxa
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Nenad Jasprica, Željko Škvorc, Antun Alegro, Sanja Kovačić, Ana Vraneša, Jozo Franjić, Andraž Čarni, and Danijel Krstonošić
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0106 biological sciences ,Croatian ,Phytosociology ,Ecology ,Agroforestry ,Rank (computer programming) ,Plant Science ,Braun-Blanquet approach ,phytosociology ,syntaxonomy ,vegetation ,010603 evolutionary biology ,01 natural sciences ,language.human_language ,Floristics ,Geography ,language ,medicine ,Species richness ,medicine.symptom ,Endemism ,Vegetation (pathology) ,Baseline (configuration management) ,Ecology, Evolution, Behavior and Systematics ,010606 plant biology & botany - Abstract
Croatia is among the most ecologically diverse and floristically rich countries in Europe, with a great variety of communities. The vegetation elaboration according to the standard central European method was initiated in Croatia at the beginning of the 20thcentury. In previous overviews of Croatian vegetation, the number of classes and alliances was underrepresented in relation to the country’s floristic richness. Furthermore, the level of knowledge and the amount of available data varied greatly among the various types of vegetation. The aims of this paper are mainly to compile a stabile syntaxonomic list of classes, orders and alliances dominated by vascular plants in Croatia and to adjust Croatian vegetation to the new European syntaxonomic system (EuroVegChecklist). It introduces a consistent description of high-rank syntaxa in Croatian. In conclusion, the vegetation of Croatia comprises 66 classes, 121 orders and 201 alliances. The number of syntaxa shows vegetation diversity that is rather high compared to most other European countries; this is related to the high floristic richness and endemism. The list points out the obvious problems and gaps in our knowledge of vegetation in Croatia and can serve as a baseline for the future vegetation studies.
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- 2017
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29. Ecological, floristic and functional analysis of zonal forest vegetation in Bosnia and Herzegovina
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Andraž Čarni and Vladimir Stupar
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0106 biological sciences ,Secondary succession ,Ecology ,Plant community ,Plant Science ,Ecological succession ,Vegetation ,Balkans ,climatic gradient ,chorotypes ,ecological strategies ,life forms ,ordination ,plant functional types ,zonal communities ,010603 evolutionary biology ,01 natural sciences ,Floristics ,Detrended correspondence analysis ,Geography ,Ordination ,Precipitation ,Ecology, Evolution, Behavior and Systematics ,010606 plant biology & botany - Abstract
Zonal vegetation is a large-scale expression of macro-climate and, due to the climatic diversity of the country, there are seven traditionally recognized zonal forest plant communities in Bosnia and Herzegovina. Using data from Bosnia and Herzegovina, this study aimed to reveal whether macro-climate is indeed the most important factor determining the existence of zonal forest plant communities (ZFPC). Detrended correspondence analysis of 398 relevés of seven ZFPCs revealed that the species turnover along the first axis is strongly related to the macro-climatic gradient (annual mean temperature, mean temperature of the coldest quarter and precipitation of the warmest quarter). No correlation was detected between this gradient and topographic factors (slope and aspect) and soil reaction. Floristic analysis revealed clear separation of ZFPCs in terms of diagnostic species. Functional analysis of all layers showed that competitive ecological strategy has the highest proportion, while analysis of the herb layer alone expressed a shift of CSR signatures towards the middle of the C-S axis. Ruderality was overall poorly expressed. Statistically significant differences among communities were discovered along the C-S axis. In terms of life forms, statistically significant differences in the proportions of Phanerophytes, Geophytes and Hemicryptophytes among communities were discovered. Our study confirms that macro-climatic gradient is the most important determinant of the species turnover along ZFPCs. CSR signatures show that zonal forest vegetation is represented by productive communities in a terminal stage of succession. This does not refer to degraded Quercus ilex stands (maquis), which are in the middle stage of secondary succession.
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- 2017
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30. Testing macroecological abundance patterns:the relationship between local abundance and range size, range position and climatic suitability among European vascular plants
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Gunnar Seidler, Jürgen Dengler, Urban Šilc, Svetlana Aćić, Ute Jandt, Anna Kuzemko, Andraž Čarni, Risto Virtanen, Helge Bruelheide, Jonathan Lenoir, Idoia Biurrun, Vigdis Vandvik, Corrado Marcenò, Erik Welk, Solvita Rūsiņa, Juan Antonio Campos, Milan Chytrý, Aaron Pérez-Haase, Jesper Erenskjold Moeslund, Maria Sporbert, Petr Keil, Renata Ćušterevska, Kiril Vasilev, Valentin Golub, Florian Jansen, Ioannis Tsiripidris, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), and Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)
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0106 biological sciences ,commonness and rarity ,Climatic suitability ,Range (biology) ,[SDE.MCG]Environmental Sciences/Global Changes ,Commonness and rarity ,distributions ,Range size ,[SDV.BID]Life Sciences [q-bio]/Biodiversity ,shape ,010603 evolutionary biology ,01 natural sciences ,Vegetation-plot data ,Realized climatic niche ,models ,Abundance ,niche breadth ,Abundance (ecology) ,577: Ökologie ,Plant ecology ,species distribution models ,Ecology, Evolution, Behavior and Systematics ,climatic suitability ,range size ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,Climatology ,2. Zero hunger ,abundance ,Ecology ,realized climatic niche ,Ecologia vegetal ,010604 marine biology & hydrobiology ,conservation ,resolution ,Species distribution model ,dynamics ,15. Life on land ,vegetation-plot data ,580: Pflanzen (Botanik) ,Geography ,Climatologia ,community ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Resolution ,Vegetation‐plot data - Abstract
Aim A fundamental question in macroecology centres around understanding the relationship between species' local abundance and their distribution in geographical and climatic space (i.e. the multi-dimensional climatic space or climatic niche). Here, we tested three macroecological hypotheses that link local abundance to the following range properties: (a) the abundance-range size relationship, (b) the abundance-range centre relationship and (c) the abundance-suitability relationship. Location Europe. Taxon Vascular plants. Methods Distribution range maps were extracted from the Chorological Database Halle to derive information on the range and niche sizes of 517 European vascular plant species. To estimate local abundance, we assessed samples from 744,513 vegetation plots in the European Vegetation Archive, where local species' abundance is available as plant cover per plot. We then calculated the 'centrality', that is, the distance between the location of the abundance observation and each species' range centre in geographical and climatic space. The climatic suitability of plot locations was estimated using coarse-grain species distribution models (SDMs). The relationships between centrality or climatic suitability with abundance was tested using linear models and quantile regression. We summarized the overall trend across species' regression slopes from linear models and quantile regression using a meta-analytical approach. Results We did not detect any positive relationships between a species' mean local abundance and the size of its geographical range or climatic niche. Contrasting yet significant correlations were detected between abundance and centrality or climatic suitability among species. Main conclusions Our results do not provide unequivocal support for any of the relationships tested, demonstrating that determining properties of species' distributions at large grains and extents might be of limited use for predicting local abundance, including current SDM approaches. We conclude that environmental factors influencing individual performance and local abundance are likely to differ from those factors driving plant species' distribution at coarse resolution and broad geographical extents. Graduiertenforderung Sachsen-Anhalt (scholarship to MS), with additional support through institutional funds of Martin Luther University Halle-Wittenberg. PK received support from the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig funded by the German Research Foundation (FZT 118). IB and JAC were supported by the Basque Government (IT936-16). MC, AK and CM were supported by the Czech Science Foundation (19-28491X). SR was supported by the University of Latvia through grant funding (AAp2016/B041//Zd2016/AZ03). We acknowledge the financial support of the Open Access Publication Fund of the Martin Luther University Halle-Wittenberg.
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- 2020
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31. Classification of the European marsh vegetation (Phragmito‐Magnocaricetea) to the association level
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Roberto Venanzoni, Jazep Stepanovič, Flavia Landucci, Ute Jandt, Valentin Golub, Andraž Čarni, Lyubov Borsukevych, Zvjezdana Stančić, Florian Jansen, Alexander A. Bobrov, Lubomír Tichý, Milan Chytrý, Zofija Sinkevičienė, Zygmunt Kącki, Svitlana Iemelianova, Urban Šilc, Igor Zelnik, Kateřina Šumberová, Boris Teteryuk, Liene Aunina, Stephan M. Hennekens, Eva Papastergiadou, Richard Hrivnák, Rossen Tzonev, Konrád Lájer, Claudia Biță‐Nicolae, and Els De Bie
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0106 biological sciences ,Association (object-oriented programming) ,Vegetation classification ,Bos- en Landschapsecologie ,cocktail method ,Class (philosophy) ,association, cocktail method, consistency, discriminating species groups, functional species group, physiognomy, sociological species group, vegetation classification, vegetation database, wetland vegetation ,Management, Monitoring, Policy and Law ,010603 evolutionary biology ,01 natural sciences ,Association ,wetland vegetation ,vegetation database ,Forest and Landscape Ecology ,Nomenclature ,Vegetatie ,vegetation classification ,Nature and Landscape Conservation ,sociological species group ,Vegetation ,physiognomy ,Ecology ,consistency ,discriminating species groups ,Physiognomy ,15. Life on land ,functional species group ,Geography ,Vegetatie, Bos- en Landschapsecologie ,Vegetation, Forest and Landscape Ecology ,Marsh vegetation ,Scale (map) ,Cartography ,010606 plant biology & botany - Abstract
Aims: To create a comprehensive, consistent and unequivocal phytosociological classification of European marsh vegetation of the class Phragmito-Magnocaricetea. Location: Europe. Methods: We applied the Cocktail method to a European data set of 249, 800 vegetation plots. We identified the main purposes and attributes on which to base the classification, defined assignment rules for vegetation plots, and prepared formal definitions for all the associations, alliances and orders of the class Phragmito-Magnocaricetea using formal logic. Each formula consists of the combination of “functional species groups”, cover values of individual species, and in the case of high-rank syntaxa also of “discriminating species groups” created using the Group Improvement (GRIMP) method. Results: The European Phragmito-Magnocaricetea vegetation was classified into 92 associations grouped in 11 alliances and six orders. New syntaxa (previously invalidly published according to the International Code of Phytosociological Nomenclature) were introduced: Bolboschoeno maritimi-Schoenoplection tabernaemontani, Glycerio maximae-Sietum latifolii, Glycerio notatae-Veronicetum beccabungae, Schoenoplectetum corymbosi and Thelypterido palustris-Caricetum elongatae. Based on a critical revision, some other syntaxa were rejected or excluded from the class Phragmito-Magnocaricetea. Conclusions: This work provides the first consistent classification of the class Phragmito-Magnocaricetea at the European scale, which is an important tool for nature conservation. Our classification largely respects previously existing concepts of syntaxa, but it also proposes modifications to the recently published EuroVegChecklist. This work also provides a protocol that can be used for extending the current classification to new syntaxa and geographical regions.
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- 2020
32. Assessing sampling coverage of species distribution in biodiversity databases
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Idoia Biurrun, Helge Bruelheide, Corrado Marcenò, Gunnar Seidler, Jonathan Lenoir, Jürgen Dengler, Valentin Golub, Vigdis Vandvik, Jesper Erenskjold Moeslund, John-Arvid Grytnes, Gunnar Austrheim, Ute Jandt, Solvita Rūsiņa, Aaron Pérez-Haase, Els De Bie, Miska Luoto, Juan Antonio Campos, Erik Welk, Milan Chytrý, Maria Sporbert, János Csiky, Andraž Čarni, Martin Jiroušek, Kiril Vassilev, Florian Jansen, Adrian Indreica, Petr Keil, Department of Geosciences and Geography, Helsinki Institute of Sustainability Science (HELSUS), BioGeoClimate Modelling Lab, Deutsche Forschungsgemeinschaft - German Research Foundation (DFG), Martin-Luther-Universität Halle Wittenberg (MLU), Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, National Institute of Biology [Ljubljana] (NIB), Masaryk University [Brno] (MUNI), University of Pecs, Universität Bayreuth, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Centre National de la Recherche Scientifique (CNRS)-Université de Picardie Jules Verne (UPJV), Thule Institute, University of Oulu, University of Bergen (UiB), and Institute of Biology, Geobotany and Botanical Garden
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0106 biological sciences ,Chorological Database Halle (CDH) ,Range (biology) ,multi-scale ,[SDE.MCG]Environmental Sciences/Global Changes ,vegetation-plot databases ,Species distribution ,Plant Science ,[SDV.BID]Life Sciences [q-bio]/Biodiversity ,computer.software_genre ,010603 evolutionary biology ,01 natural sciences ,macro-ecology ,333: Bodenwirtschaft und Ressourcen ,577: Ökologie ,Realized niche width ,Macroecology ,Ecological niche ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,spatial scale ,Ecology ,Database ,Null model ,vegetation plot databases ,climatic niche ,vascular plant ,Sampling (statistics) ,species range ,Vegetation ,15. Life on land ,Dynamic Match Coefficient (DMC) ,sampling bias ,Geography ,realized niche ,1181 Ecology, evolutionary biology ,macroecology ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,computer ,010606 plant biology & botany ,European Vegetation Archive (EVA) - Abstract
Aim Biodiversity databases are valuable resources for understanding plant species distributions and dynamics, but they may insufficiently represent the actual geographic distribution and climatic niches of species. Here we propose and test a method to assess sampling coverage of species distribution in biodiversity databases in geographic and climatic space. Location Europe. Methods Using a test selection of 808,794 vegetation plots from the European Vegetation Archive (EVA), we assessed the sampling coverage of 564 European vascular plant species across both their geographic ranges and realized climatic niches. Range maps from the Chorological Database Halle (CDH) were used as background reference data to capture species geographic ranges and to derive species climatic niches. To quantify sampling coverage, we developed a box-counting method, the Dynamic Match Coefficient (DMC), which quantifies how much a set of occurrences of a given species matches with its geographic range or climatic niche. DMC is the area under the curve measuring the match between occurrence data and background reference (geographic range or climatic niche) across grids with variable resolution. High DMC values indicate good sampling coverage. We applied null models to compare observed DMC values with expectations from random distributions across species ranges and niches. Results Comparisons with null models showed that, for most species, actual distributions within EVA are deviating from null model expectations and are more clumped than expected in both geographic and climatic space. Despite high interspecific variation, we found a positive relationship in DMC values between geographic and climatic space, but sampling coverage was in general more random across geographic space. Conclusion Because DMC values are species-specific and most biodiversity databases are clearly biased in terms of sampling coverage of species occurrences, we recommend using DMC values as covariates in macroecological models that use species as the observation unit. This article is protected by copyright. All rights reserved.
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- 2019
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33. Nomenclatural remarks to the classification of plant communities along post-fire succession
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Mehmet Ali Bașaran, Andraž Čarni, Özge Denli, Ali Kavgaci, Urban Šilc, Saime Bașaran, Neslihan Balpinar, Petra Košir, Aleksander Marinšek, and Münevver Arslan
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0301 basic medicine ,Ecology ,Ecology (disciplines) ,Botany ,pinus brutia ,Forestry ,Post fire succession ,Plant community ,Plant Science ,030108 mycology & parasitology ,03 medical and health sciences ,Geography ,Plant science ,QL1-991 ,QK1-989 ,turkey ,typification ,international code of phytosociological nomenclature ,Zoology ,Ecology, Evolution, Behavior and Systematics - Abstract
This paper contains the original diagnoses of new syntaxa and typifications of existing names of syntaxa from paper “Classification of plant communities along post-fire succession in Pinus brutia stands in southern Antalya (Turkey)” that was published in Turkish Journal of Botany. As journal has only on-line version according to ICPN descriptions are not valid. We described syntaxa: Eryngio falcati-Securigerion securidacae all. nova, Ajugo chiae-Lactucetum serriolae ass. nova, Phlomido grandiflorae-Cistetum salvifolii ass. nova, and Arbuto andrachnes- Quercetum cocciferae ass. nova and selected nomenclatural type for Querco- Phillyreetum mediae Barbero & Quézel 1976.
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- 2017
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34. Alpha diversity of vascular plants in European forests
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Valerijus Rašomavičius, Emiliano Agrillo, Jens-Christian Svenning, Marcela Řezníčková, Thomas Wohlgemuth, Grzegorz Swacha, Jonathan Lenoir, Roberto Venanzoni, Urban Šilc, Ilona Knollová, Joop H.J. Schaminée, Milan Chytrý, Wolfgang Willner, Adrian Indreica, Panayotis Dimopoulos, Federico Fernández-González, Kiril Vassilev, Mirjana Ćuk, Juan Antonio Campos, Andraž Čarni, Jean Claude Gégout, Jan Divíšek, Martin Večeřa, Idoia Biurrun, John S. Rodwell, Borja Jiménez-Alfaro, Ute Jandt, Florian Jansen, Guillermo Crespo Jiménez, Jörg Ewald, Zygmunt Kącki, Masaryk University [Brno] (MUNI), Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), University of Oviedo, Department of Plant Biology and Ecology, University of the Basque Country UPV/ EHU, Bilbao, Spain, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], National Institute of Biology [Ljubljana] (NIB), University of Castilla-La Mancha (UCLM), University of Novi Sad, University of Patras [Patras], Institute for Molecular Systems Biology [ETH Zurich] (IMSB), Department of Biology [ETH Zürich] (D-BIOL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)- Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), SILVA (SILVA), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-AgroParisTech, Transilvania University of Brasov, Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, Martin-Luther-University Halle-Wittenberg, University of Rostock, University of Wrocław [Poland] (UWr), Nature Research Centre [Vilnius], Centre for Ecosystem Studies, University of Wageningen, Wageningen University and Research [Wageningen] (WUR), Aarhus University [Aarhus], Bulgarian Academy of Sciences (BAS), Dept Appl Biol, Università degli Studi di Perugia (UNIPG), Vienna Institute for Nature Conservation and Analyses (VINCA), and Swiss Federal Institute for Forest, Snow and Landscape Research WSL
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0106 biological sciences ,Random Forests ,plant community ,Bos- en Landschapsecologie ,Biodiversity ,01 natural sciences ,Vegetation-plot database ,Forest and Landscape Ecology ,vascular plants ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,0303 health sciences ,Diversity ,Ecology ,biology ,European Vegetation Archive ,Vegetation ,PE&RC ,Europe ,Geography ,Plantenecologie en Natuurbeheer ,Forest vegetation ,Vegetatie, Bos- en Landschapsecologie ,species-richness patterns ,Vascular plant ,forest vegetation ,Gamma diversity ,[SDE.MCG]Environmental Sciences/Global Changes ,Plant Ecology and Nature Conservation ,[SDV.BID]Life Sciences [q-bio]/Biodiversity ,Plant community ,010603 evolutionary biology ,diversity ,03 medical and health sciences ,Species-richness patterns ,Ecology, Evolution, Behavior and Systematics ,Vegetatie ,030304 developmental biology ,European Vegetation Archive (EVA) ,predictive modelling ,vegetation-plot database ,Vascular plants ,Predictive modelling ,Species diversity ,15. Life on land ,biology.organism_classification ,Alpha diversity ,Vegetation, Forest and Landscape Ecology ,Species richness ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology - Abstract
Aim The former continental‐scale studies modelled coarse‐grained plant species‐richness patterns (gamma diversity). Here we aim to refine this information for European forests by (a) modelling the number of vascular plant species that co‐occur in local communities (alpha diversity) within spatial units of 400 m2; and (b) assessing the factors likely determining the observed spatial patterns in alpha diversity. Location Europe roughly within 12°W–30°E and 35–60°N. Taxon Vascular plants. Methods The numbers of co‐occurring vascular plant species were counted in 73,134 georeferenced vegetation plots. Each plot was classified by an expert system into deciduous broadleaf, coniferous or sclerophyllous forest. Random Forest models were used to map and explain spatial patterns in alpha diversity for each forest type separately using 19 environmental, land‐use and historical variables. Results Our models explained from 51.0% to 70.9% of the variation in forest alpha diversity. The modelled alpha‐diversity pattern was dominated by a marked gradient from species‐poor north‐western to species‐rich south‐eastern Europe. The most prominent richness hotspots were identified in the Calcareous Alps and adjacent north‐western Dinarides, the Carpathian foothills in Romania and the Western Carpathians in Slovakia. Energy‐related factors, bedrock types and terrain ruggedness were identified as the main variables underlying the observed richness patterns. Alpha diversity increases especially with temperature seasonality in deciduous broadleaf forests, on limestone bedrock in coniferous forests and in areas with low annual actual evapotranspiration in sclerophyllous forests. Main conclusions We provide the first predictive maps and analyses of environmental factors driving the alpha diversity of vascular plants across European forests. Such information is important for the general understanding of European biodiversity. This study also demonstrates a high potential of vegetation‐plot databases as sources for robust estimation of the number of vascular plant species that co‐occur at fine spatial grains across large areas., M.V., J.D., I.K., M.Ř. and M.C. were supported by the Czech Science Foundation (Centre of Excellence Pladias; project no. 14–36079G). I.B. and J.A.C. were supported by the Basque Government (IT936‐16). B.J.‐A. was supported by the Marie Curie Clarín‐COFUND program of the Principate of Asturias and the European Union (ACB17‐26). J.‐C.S. considers this work a contribution to his VILLUM Investigator project “Biodiversity Dynamics in a Changing World” funded by VILLUM FONDEN (grant 16549) and his Danish Council for Independent Research | Natural Sciences TREECHANGE project (grant 6108‐00078B).
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- 2019
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35. Validations and Typifications of Some South Europe an Syntaxa
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Andraž Čarni and Ladislav Mucina
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Evropa ,phytosociology ,Balkanski polotok ,Roso pendulinae-Pinetea mugo ,Plant Science ,Juncetea trifidi ,validacija ,Balkan peninsula ,Altitude ,Plant science ,zveza ,Environmental protection ,lcsh:Botany ,lcsh:Zoology ,lcsh:QL1-991 ,Nomenclature ,Ecology, Evolution, Behavior and Systematics ,validation ,Phytosociology ,Ecology ,alliance ,Forestry ,Plant community ,Balkan Peninsula ,Quercetea pubescentis ,fitocenologija ,nomenklatura ,Rhamno-Prunetea ,lcsh:QK1-989 ,Europe ,Geography ,nomenclature ,Woody plant - Abstract
In the course of the compilation of a list of high-rank syntaxa of Europe, it appeared that some of syntaxa from south Europe were not validly described. In this paper, the following syntaxa have been either described or validated, such as the Potentillo montenegrinae-Festucion paniculatae (Festucetalia spadiceae, Juncetea trifidi), the Aquilegio nigricantis-Rhododendrion hirsuti (Rhododendro hirsuti-Ericetalia carneae, Rhododendro hirsuti-Ericetea carneae), the Hyperico grisebachii-Pinion mugo (Junipero-Pinetalia mugo, Roso pendulinae-Pinetea mugo), the Lathyro veneti-Taxion baccatae, Quercion petraeo-cerridis (both Quercetalia pubescentis, Quercetea pubescentis) and the Buxo- Syringion vulgaris (Paliuretalia, Rhamno-Prunetea).
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- 2015
36. Transition along gradient from warm to mesic temperate forests evaluated by GAMM
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Andrej Paušič, Andraž Čarni, Mitko Kostadinovski, Vlado Matevski, Petra Košir, Aleksander Marinšek, Urban Šilc, and Nina Juvan
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0106 biological sciences ,Geography ,Ecology ,Temperate forest ,Plant Science ,010603 evolutionary biology ,01 natural sciences ,Temperate rainforest ,Ecology, Evolution, Behavior and Systematics ,010606 plant biology & botany - Published
- 2015
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37. What makes a plant species specialist in mixed broad-leaved deciduous forests?
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Michael Manthey, Urban Šilc, Andraž Čarni, and Aleksander Marinšek
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Ecological niche ,education.field_of_study ,Ecology ,Population ,Biodiversity ,Plant Science ,Biology ,Generalist and specialist species ,Plant ecology ,Deciduous ,Indicator value ,Realized niche width ,education - Abstract
Knowledge about relationships between specialization degree of species, i.e. the width of their realized niche and functional traits, may have important implications for the assessment of future population developments under environmental change. In this study, we used a recently introduced method to calculate ecological niche widths of plant species in mixed broad-leaved deciduous forests and to investigate the dependence between niche widths of plants and their functional traits and Ellenberg indicator values. The research is based on a dataset of 4556 phytosociological releves of mixed broad-leaved deciduous forests in Slovenia. We calculated theta indices for 326 species, which ranks them along a continuous gradient of habitat specialization. For 272 species, we compiled 26 functional traits and Ellenberg indicator values. We found some significant correlations between theta indices of species and their functional traits and Ellenberg indicator values; habitat specialists thrive primarily on the highest altitudes, on colder, dry sites and achieve the age of first flowering later than generalists. They also have smaller seed diameter, lower leaf dry matter content, lower mean canopy height and bigger specific leaf area than generalists. Two species groups, chamaephytes and spring green species, are particularly characterized as specialist species. The added value of our work is in complementing the knowledge about the niche differentiating along different environmental gradients and species coexistence in mixed broad-leaved deciduous forests.
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- 2015
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38. Global trait–environment relationships of plant communities
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Esteban Álvarez-Dávila, Maurizio Mencuccini, Zhiyao Tang, Norbert Jürgens, Christopher Baraloto, Robert K. Peet, Jérôme Munzinger, Josep Peñuelas, Peter M. van Bodegom, Erwin Bergmeier, Wim A. Ozinga, Isabelle Aubin, Yadvinder Malhi, Michele De Sanctis, William Farfan-Rios, Marten Winter, Benjamin Blonder, Jordi Sardans, Christian Wirth, Valério D. Pillar, Nicole J. Fenton, Ilona Knollová, Jiří Doležal, Miguel D. Mahecha, Jens Kattge, Marijn Bauters, Zoltán Botta-Dukát, Francesco Maria Sabatini, Jonathan Lenoir, Peter B. Reich, Florian Jansen, Jorcely Barroso, Frédérique Louault, Anne D. Bjorkman, Alvaro G. Gutiérrez, Michael Kleyer, Matteo Dainese, Dylan Craven, Andraž Čarni, Anita K. Smyth, Gunnar Seidler, Idoia Biurrun, Ted R. Feldpausch, Javier Silva Espejo, Helge Bruelheide, Risto Virtanen, Tarek Hattab, Franziska Schrodt, Greg R. Guerin, Sandra Díaz, Anke Jentsch, Jürgen Dengler, Borja Jiménez-Alfaro, J. Hans C. Cornelissen, Kate H. Orwin, Bruno Hérault, Tomáš Černý, Stephan M. Hennekens, Erik Welk, Frederic Lens, Mohammed Abu Sayed Arfin Khan, Jacqueline Loos, Kiril Vassilev, Milan Chytrý, Jonas V. Müller, Christine Römermann, Sylvia Haider, Géraldine Derroire, Marcos Silveira, Greg H. R. Henry, Petr Petřík, Ülo Niinemets, Zygmunt Kącki, Isla H. Myers-Smith, Michael Kessler, Dirk Nikolaus Karger, Evan Weiher, Andrey Yu. Korolyuk, Richard Field, Raquel Thomas, Eric Garnier, Luis Cayuela, Brody Sandel, Cyrille Violle, Jens-Christian Svenning, Corrado Marcenò, Aaron Pérez-Haase, Daniel C. Laughlin, Pedro Higuchi, Jürgen Homeier, Ute Jandt, Fabio Attorre, Karsten Wesche, Norbert Hölzel, Oliver L. Phillips, Ingolf Kühn, Marco Schmidt, Meelis Pärtel, David A. Neill, Maria Sporbert, Mariyana Lyubenova, Oliver Purschke, Arthur Vinicius Rodrigues, Ioannis Tsiripidis, Jan Altman, Institute of Biology/Geobotany and Botanical Garden, Martin-Luther-Universität Halle Wittenberg (MLU), Universität Bayreuth, German Centre for Integrative Biodiversity Research (iDiv), UR Ecol & Dynam Syst Anthropises EDYSAN, UMR CNRS 7058, Université de Picardie Jules Verne (UPJV), Department of Botany and Zoology, Masaryk University, ALTERRA Wageningen, ALTERRA, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Universidade Federal do Rio Grande do Norte [Natal] (UFRN), Universiteit Leiden [Leiden], Fundación Con-Vida, Ecologie des forêts de Guyane (ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université des Antilles et de la Guyane (UAG)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Universidade Federal do Acre (UFAC), Ecology and Evolutionary Biology [Tucson] (EEB), University of Arizona, National Institute of Biology [Ljubljana], Universidad Rey Juan Carlos [Madrid] (URJC), Vrije Universiteit Amsterdam [Amsterdam] (VU), Royal Institute of Technology (KTH), Department of Microelectronics and Information Technology, Kista Photonics Research Center (KPRC) (KTH), Royal Institute of Technology [Stockholm] (KTH ), AgroParisTech, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Ecosystèmes et Ressources Aquatiques (UR03AGRO1), Institut National Agronomique de Tunisie, Westfälische Wilhelms-Universität Münster (WWU), Georg-August-Universität Göttingen, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Zurich, Landscape Ecology Group, University of Oldenburg, Helmholtz Zentrum für Umweltforschung (UFZ), Netherlands Centre for Biodiversity Naturalis, Institute of Ecology, Leuphana University, Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Environmental Change Institute, University of Oxford [Oxford], School of Geosciences [Edinburgh], University of Edinburgh, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universidad Estatal Amazonica, Estonian University of Life Sciences, University of Nijmegen, Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona [Barcelona] (UAB), Institute of Ecology and Earth Sciences, University of Tartu, University of Tartu, Department of Forest Resources, University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, Universität Regensburg (REGENSBURG), Universität Regensburg, Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Dept Biol Sci, Ecoinformat & Biodivers Grp, Aarhus University [Aarhus], Aristotle University of Thessaloniki, Dept Biol, University of Oulu, University of Wisconsin-Eau Claire, Department of Botany, Senckenberg Natural History Museum, Synthesis Centre for Biodiversity Sciences, German Centre for Integrative Biodiversity Research, Universität Leipzig [Leipzig], Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Masaryk University [Brno] (MUNI), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Georg-August-University [Göttingen], Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universitat Autònoma de Barcelona (UAB), University of Minnesota [Twin Cities] (UMN), Martin-Luther-University Halle-Wittenberg, Ecologie et Dynamique des Systèmes Anthropisés (EDYSAN), Wageningen University and Research Centre [Wageningen] (WUR), Chercheur indépendant, Department of Ecological Modelling [UFZ Leipzig], Helmholtz Centre for Environmental Research (UFZ), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Hawkesbury Institute for the Environment [Richmond] (HIE), Western Sydney University (UWS), Bruelheide H., Dengler J., Purschke O., Lenoir J., Jimenez-Alfaro B., Hennekens S.M., Botta-Dukat Z., Chytry M., Field R., Jansen F., Kattge J., Pillar V.D., Schrodt F., Mahecha M.D., Peet R.K., Sandel B., van Bodegom P., Altman J., Alvarez-Davila E., Arfin Khan M.A.S., Attorre F., Aubin I., Baraloto C., Barroso J.G., Bauters M., Bergmeier E., Biurrun I., Bjorkman A.D., Blonder B., Carni A., Cayuela L., Cerny T., Cornelissen J.H.C., Craven D., Dainese M., Derroire G., De Sanctis M., Diaz S., Dolezal J., Farfan-Rios W., Feldpausch T.R., Fenton N.J., Garnier E., Guerin G.R., Gutierrez A.G., Haider S., Hattab T., Henry G., Herault B., Higuchi P., Holzel N., Homeier J., Jentsch A., Jurgens N., Kacki Z., Karger D.N., Kessler M., Kleyer M., Knollova I., Korolyuk A.Y., Kuhn I., Laughlin D.C., Lens F., Loos J., Louault F., Lyubenova M.I., Malhi Y., Marceno C., Mencuccini M., Muller J.V., Munzinger J., Myers-Smith I.H., Neill D.A., Niinemets U., Orwin K.H., Ozinga W.A., Penuelas J., Perez-Haase A., Petrik P., Phillips O.L., Partel M., Reich P.B., Romermann C., Rodrigues A.V., Sabatini F.M., Sardans J., Schmidt M., Seidler G., Silva Espejo J.E., Silveira M., Smyth A., Sporbert M., Svenning J.-C., Tang Z., Thomas R., Tsiripidis I., Vassilev K., Violle C., Virtanen R., Weiher E., Welk E., Wesche K., Winter M., Wirth C., Jandt U., Systems Ecology, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), and Institut de Recherche pour le Développement (IRD [France-Sud])-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
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0106 biological sciences ,[SDV]Life Sciences [q-bio] ,Bos- en Landschapsecologie ,01 natural sciences ,Ecosystem services ,forests ,grassland ,life history traits ,plant dispersal ,plants ,Forest and Landscape Ecology ,Environmental planning ,OT PB Vredepeel ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,diversité fonctionnelle ,Ecology ,Vegetation ,Plants ,Grassland ,économie foliaire ,Biogeography ,Community Ecology ,Ecosystems Research ,[SDE]Environmental Sciences ,Trait ,Vegetatie, Bos- en Landschapsecologie ,F40 - Écologie végétale ,F60 - Physiologie et biochimie végétale ,[SDE.MCG]Environmental Sciences/Global Changes ,education ,[SDV.BID]Life Sciences [q-bio]/Biodiversity ,Life History Trait ,Biology ,Sustainability Science ,010603 evolutionary biology ,température ,Life Science ,prédiction ,Ecosystem ,Forest ,577: Ökologie ,Vegetatie ,Ecology, Evolution, Behavior and Systematics ,climat ,Plant Dispersal ,Niche differentiation ,Plant community ,15. Life on land ,Disturbance (ecology) ,Vegetation, Forest and Landscape Ecology ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Scale (map) ,010606 plant biology & botany - Abstract
International audience; Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.
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- 2018
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39. Vegetation as the Bioindicator of Human-induced Degradation in Karst Landscape: Case Study of Waste-filled Dolines
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Andraž Čarni, Daniela Ribeiro, and Mateja Breg Valjavec
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Hydrology ,geography ,geography.geographical_feature_category ,Ecology ,Sinkhole ,Polje ,Plant community ,04 agricultural and veterinary sciences ,Ecological succession ,Vegetation ,010501 environmental sciences ,Karst ,01 natural sciences ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Environmental science ,Indicator value ,0105 earth and related environmental sciences ,Earth-Surface Processes ,Waste disposal - Abstract
Mismanagement practices, such as unsustainable waste disposal, created many degraded sites. In karst landscapes, old uncontrolled landfills are often located in dolines (sinkholes). Buried waste material in dolines represents degradation of landform, habitats and a potential danger of groundwater pollution. Buried waste provides heterogeneous ecological conditions on the surface, thus plant communities or individual plant species that developed on the surface of landfills can be used as a bioindicators of waste-filled doline sites and therefore indicators of land degradation. We aimed to discover the potential of vegetation to detect unknown locations of old dump-sites in suffusion dolines in Logasko polje (Dinaric Karst, Slovenia), either by plant communities or by plant species. We aimed to ascertain whether vegetation can indicate the dumping period by estimation of community succession stage. Locations and the age of waste-filled dolines (doline-dumps) were preliminary identified by a historical landscape study. Thus, we used time series of aerial photographs and digital photogrammetry tools for 3D modelling of historical terrain. Ecological evaluation was based on sampling the floristic composition of plots (5x5 m). We analysed ecological conditions by Ellenberg bioindicator values, structure by life history traits and naturalness by hemerobic levels of plants. We studied in detail 30 up to 50-years-old waste-filled dolines that are interspersed by dry and mesic grasslands. Ecological evaluation demonstrated that the main driver of ecological diversity at doline-dumps is the time at which the doline was backfilled and succession started. Annual and eutrophic communities dominate the youngest doline-dumps, middle aged doline-dumps are covered by nitrophilous perennial forbs and, finally, communities developed towards mesic grassland. We conclude that plant communities in combination with diagnostic plant species can be used as a bioindicators of doline-dumps in agricultural landscape of Logasko polje and can therefore indicate the sites of potential groundwater pollution sources but not the type of long-time buried waste. Key words: suffusion dolines, plant communities, waste dumping, Ellenberg indicator values, polje.
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- 2017
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40. Early spring ephemeral therophytic non-nitrophilous grasslands as a habitat of various species of romulea in the southern balkans
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Vlado Matevski, Andraž Čarni, Renata Ćušterevska, and Urban Šilc
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Mediterranean climate ,geography ,geography.geographical_feature_category ,biology ,Ecology ,Ephemeral key ,Balkans ,climate ,grassland ,nomenclature ,Romulea ,vegetation ,Plant Science ,Vegetation ,Seasonality ,biology.organism_classification ,medicine.disease ,Grassland ,Romulea bulbocodium ,Habitat ,medicine ,Ecology, Evolution, Behavior and Systematics - Abstract
The work deals with habitats of Romulea bulbocodium and Romulea linaresii ssp. graeca in the southern Balkans. Both species appear in early spring ephemeral therophytic non-nitrophilous grasslands in regions under the influence of the Mediterranean climate. These communities are classified within the Romulion alliance, which encompasses such communities from the eastern Mediterranean area. It was established that the main climatic factor causing the diversity of these communities is seasonality in precipitation and temperature. Two associations are presented, as Lagopo-Poetum bulbosae and Romuleo graecae-Poetum bulbosae.
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- 2014
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41. European Vegetation Archive (EVA): an integrated database of European vegetation plots
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Ioannis Tsiripidis, Dmytro Dubyna, Emin Uğurlu, Federico Fernández-González, Svetlana Aćić, Valerijus Rašomavičius, Anna Kuzemko, Jiří Danihelka, Wolfgang Willner, Christian Berg, Mirjana Ćuk, Pavel Dan Turtureanu, Erwin Bergmeier, Aaron Pérez-Haase, Vadim Prokhorov, Deniz Işık Gürsoy, Zoltán Botta-Dukát, Hristo Pedashenko, John Janssen, Martin Kleikamp, Thomas Wohlgemuth, Martin Jiroušek, S. M. Yamalov, Viktor Onyshchenko, Ilona Knollová, Urban Šilc, Jörg Ewald, Henry Brisse, Xavier Font, Didem Ambarlı, John S. Rodwell, Andraž Čarni, Tatiana Rogova, Lynda Weekes, Solvita Rūsiņa, Gunnar Seidler, Tetiana Dziuba, Milan Chytrý, Desislava Sopotlieva, Risto Virtanen, Nikolai Ermakov, Riccardo Guarino, Maria Pilar Rodríguez-Rojo, Florian Jansen, Michele De Sanctis, Zygmunt Kącki, Domas Uogintas, Itziar García-Mijangos, Ute Jandt, Jürgen Dengler, Úna FitzPatrick, Jens-Christian Svenning, Eszter Ruprecht, Idoia Biurrun, Kiril Vassilev, Borja Jiménez-Alfaro, Stephan M. Hennekens, Tomáš Peterka, Laura Casella, Zvjezdana Stančić, Jonathan Lenoir, Iva Apostolova, Flavia Landucci, Milan Valachovič, Fabio Attorre, Joop H.J. Schaminée, Renata Ćušterevska, Corrado Marcenò, Valentin Golub, Grzegorz Swacha, János Csiky, Patrice de Ruffray, Tatiana Lysenko, Vitaliy Kolomiychuk, Rense Haveman, Luis Carlón, Emiliano Agrillo, Ali Kavgaci, W. Bernhard Dickoré, Els De Bie, Željko Škvorc, Vassiliy Martynenko, Dana Michalcová, Roberto Venanzoni, Rosario G. Gavilán, Jesper Erenskjold Moeslund, Pierangela Angelini, Giuliano Fanelli, Jozef Šibík, Juan Antonio Campos, Yulia Vashenyak, Rasmus Ejrnæs, Adrian Indreica, Panayotis Dimopoulos, Daniel Krstonošić, Zora Dajić Stevanović, Chytrý, M., Hennekens, S., Jiménez-Alfaro, B., Knollová, I., Dengler, J., Jansen, F., Landucci, F., Schaminée, J., Aćić, S., Agrillo, E., Ambarlı, D., Angelini, P., Apostolova, I., Attorre, F., Berg, C., Bergmeier, E., Biurrun, I., Botta-Dukát, Z., Brisse, H., Campos, J., Carlón, L., Čarni, A., Casella, L., Csiky, J., Ćušterevska, R., Dajić Stevanović, Z., Danihelka, J., De Bie, E., de Ruffray, P., De Sanctis, M., Dickoré, W., Dimopoulos, P., Dubyna, D., Dziuba, T., Ejrnaes, R., Ermakov, N., Ewald, J., Fanelli, G., Fernández-González, F., Fitzpatrick, Ú., Font, X., García-Mijangos, I., Gavilán, R., Golub, V., Guarino, R., Haveman, R., Indreica, A., Işık Gürsoy, D., Jandt, U., Janssen, J., Jiroušek, M., Kącki, Z., Kavgacı, A., Kleikamp, M., Kolomiychuk, V., Krstivojević Ćuk, M., Krstonošić, D., Kuzemko, A., Lenoir, J., Lysenko, T., Marcenò, C., Martynenko, V., Michalcová, D., Moeslund, J., Onyshchenko, V., Pedashenko, H., Pérez-Haase, A., Peterka, T., Prokhorov, V., Rašomavičius, V., Rodríguez-Rojo, M., Rodwell, J., Rogova, T., Ruprecht, E., Rūsiņa, S., Seidler, G., Šibík, J., Šilc, U., Škvorc, Ž., Sopotlieva, D., Stančić, Z., Svenning, J., Swacha, G., Tsiripidis, I., Turtureanu, P., Uğurlu, E., Uogintas, D., Valachovič, M., Vashenyak, Y., Vassilev, K., Venanzoni, R., Virtanen, R., Weekes, L., Willner, W., Wohlgemuth, T., Yamalov, S., and Universitat de Barcelona
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0106 biological sciences ,International Association for Vegetation Science ,Bos- en Landschapsecologie ,Ecoinformatic ,01 natural sciences ,Ecoinformatics ,Forest and Landscape Ecology ,Vegetació ,Ecology ,Environmental resource management ,PE&RC ,Vegetation plot ,Europe ,Centralized database ,Geography ,Cartografia de la vegetació ,Plantenecologie en Natuurbeheer ,Vegetatie, Bos- en Landschapsecologie ,medicine.symptom ,Geographic coordinate system ,Europa ,Releve ,Plant Ecology and Nature Conservation ,European Vegetation Survey ,Management, Monitoring, Policy and Law ,Biodiversity informatics ,010603 evolutionary biology ,Plot (graphics) ,Relevé ,Database ,Phytosociological data ,Vegetation database ,medicine ,biodiversity informatics ,database ,ecoinformatics ,european vegetation survey ,international association for vegetation science ,phytosociological data ,relevé ,vegetation database ,vegetation plot ,ecology ,nature and landscape conservation ,management ,monitoring ,policy and law ,Vegetatie ,Nature and Landscape Conservation ,Vegetation mapping ,Vegetation ,business.industry ,15. Life on land ,Defensie ,Taxon ,Biodiversity informatic ,Integrated database ,Vegetation, Forest and Landscape Ecology ,business ,Vegetation (pathology) ,010606 plant biology & botany - Abstract
Biurrun, Idoia/0000-0002-1454-0433; Rojo, Maria Pilar Rodriguez/0000-0001-5449-9386; Ermakov, Nikolai/0000-0001-7550-990X; De Sanctis, Michele/0000-0002-7280-6199; Svenning, Jens-Christian/0000-0002-3415-0862; Virtanen, Risto/0000-0002-8295-8217; Agrillo, Emiliano/0000-0003-2346-8346; Onyshchenko, Viktor/0000-0001-9079-7241; Marceno, Corrado/0000-0003-4361-5200; Willner, Wolfgang/0000-0003-1591-8386; Fernandez-Gonzalez, Federico/0000-0003-1234-4065; Jansen, Florian/0000-0002-0331-5185; Swacha, Grzegorz/0000-0002-6380-2954; Dengler, Jurgen/0000-0003-3221-660X; Guarino, Riccardo/0000-0003-0106-9416; Sopotlieva, Desislava/0000-0002-9281-7039; Venanzoni, Roberto/0000-0002-7768-0468; Chytry, Milan/0000-0002-8122-3075; Kuzemko, Anna/0000-0002-9425-2756; Danihelka, Jiri/0000-0002-2640-7867; Kuzemko, Anna/0000-0002-9425-2756; Venanzoni, Roberto/0000-0002-7768-0468; Gavilan, Rosario G./0000-0002-1022-445X; Jansen, Florian/0000-0002-0331-5185; Wohlgemuth, Thomas/0000-0002-4623-0894; Svenning, Jens-Christian/0000-0002-3415-0862; Sibik, Jozef/0000-0002-5949-862X; Casella, Laura/0000-0003-2550-3010; Lenoir, Jonathan/0000-0003-0638-9582; Attorre, Fabio/0000-0002-7744-2195; Kacki, Zygmunt/0000-0002-2241-1631; Jandt, Ute/0000-0002-3177-3669; Carni, Andraz/0000-0002-8909-4298; Jirousek, Martin/0000-0002-4293-478X; GARCIA-MIJANGOS, ITZIAR/0000-0002-6642-7782; Campos, Juan Antonio/0000-0001-5992-2753; Fanelli, Giuliano/0000-0002-3143-1212; Haveman, Rense/0000-0001-9127-4549; Acic, Svetlana/0000-0001-6553-3797; De Bie, Els/0000-0001-7679-743X; Font, Xavier/0000-0002-7253-8905; Moeslund, Jesper Erenskjold/0000-0001-8591-7149; Martynenko, Vasiliy/0000-0002-9071-3789; Jimenez-Alfaro, Borja/0000-0001-6601-9597; Ejrnaes, Rasmus/0000-0003-2538-8606; Carlon Ruiz, Luis/0000-0003-3442-8710; Angelini, Pierangela/0000-0002-5321-9757; Silc, Urban/0000-0002-3052-699X; Landucci, Flavia/0000-0002-6848-0384; Ewald, Jorg/0000-0002-2758-9324; Dziuba, Tetiana/0000-0001-8621-0890 WOS: 000368074600018 The European Vegetation Archive (EVA) is a centralized database of European vegetation plots developed by the IAVS Working Group European Vegetation Survey. It has been in development since 2012 and first made available for use in research projects in 2014. It stores copies of national and regional vegetation-plot databases on a single software platform. Data storage in EVA does not affect on-going independent development of the contributing databases, which remain the property of the data contributors. EVA uses a prototype of the database management software TURBOVEG 3 developed for joint management of multiple databases that use different species lists. This is facilitated by the SynBioSys Taxon Database, a system of taxon names and concepts used in the individual European databases and their corresponding names on a unified list of European flora. TURBOVEG 3 also includes procedures for handling data requests, selections and provisions according to the approved EVA Data Property and Governance Rules. By 30 June 2015, 61 databases from all European regions have joined EVA, contributing in total 1 027 376 vegetation plots, 82% of them with geographic coordinates, from 57 countries. EVA provides a unique data source for large-scale analyses of European vegetation diversity both for fundamental research and nature conservation applications. Updated information on EVA is available online at http://euroveg.org/eva-database. Czech Science Foundation (Centre of Excellence PLADIAS) [14-36079G] Our major thanks go to thousands of European vegetation scientists of several generations who collected the original vegetation-plot data in the field, published them or made their unpublished data available to others, and to those who spent myriad hours digitizing data and managing the contributing databases. EVA data management has been partly funded by the Czech Science Foundation (Centre of Excellence PLADIAS, 14-36079G).
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- 2016
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42. Classification of European beech forests: a Gordian Knot?
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Jens-Christian Svenning, Jörg Ewald, Laura Casella, Milan Chytrý, Zygmunt Kącki, Ioannis Tsiripidis, Željko Škvorc, John S. Rodwell, Thomas Wohlgemuth, János Csiky, Jozef Šibík, Roberto Venanzoni, Ali Kavgaci, Pavel Dan Turtureanu, Viktor Onyshchenko, Ute Jandt, Rossen Tzonev, Andraž Čarni, Yakiv Didukh, Kiril Vassilev, Jonathan Lenoir, Juan Antonio Campos, Wolfgang Willner, Florian Jansen, Renata Ćušterevska, Joop H.J. Schaminée, Aleksander Marinšek, Emiliano Agrillo, Borja Jiménez-Alfaro, and Idoia Biurrun
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0106 biological sciences ,Range (biology) ,Fagus sylvatica ,Syntaxonomy ,FAGUS ,Bos- en Landschapsecologie ,BULGARIA ,Context (language use) ,Plant Ecology and Nature Conservation ,Management, Monitoring, Policy and Law ,Fagion sylvaticae ,010603 evolutionary biology ,01 natural sciences ,Fagetalia sylvaticae ,Floristics ,Fagus orientalis ,Forest and Landscape Ecology ,Beech ,Luzulo-Fagion sylvaticae ,Vegetatie ,Nature and Landscape Conservation ,Vegetation ,Ecology ,biology ,Vegetation plot database ,Forestry ,15. Life on land ,biology.organism_classification ,Beech forest ,Europe ,TWINSPAN ,Vegetation-plot database ,PE&RC ,Geography ,Alliance ,PATTERNS ,Plantenecologie en Natuurbeheer ,Vegetatie, Bos- en Landschapsecologie ,Indicator value ,Vegetation, Forest and Landscape Ecology ,VEGETATION ,010606 plant biology & botany ,PHYTOGEOGRAPHICAL DIFFERENTIATION - Abstract
QuestionsWhat are the main floristic patterns in European beech forests? Which classification at the alliance and suballiance level is the most convincing?LocationEurope and Asia Minor.MethodsWe applied a TWINSPAN classification to a data set of 24605 releves covering the whole range of Fagus sylvatica forests and the western part of Fagus orientalis forests. We identified 24 operational phytosociological units' (OPUs), which were used for further analysis. The position of each OPU along the soil pH and temperature gradient was evaluated using Ellenberg Indicator Values. Fidelity of species to OPUs was calculated using the phi coefficient and constancy ratio. We compared alternative alliance concepts, corresponding to groups of OPUs, in terms of number and frequency of diagnostic species. We also established formal definitions for the various alliance concepts based on comparison of the total cover of the diagnostic species groups, and evaluated alternative geographical subdivisions of beech forests.ResultsThe first and second division levels of TWINSPAN followed the temperature and soil pH gradients, while lower divisions were mainly geographical. We grouped the 22 OPUs of Fagus sylvatica forests into acidophytic, meso-basiphytic and thermo-basiphytic beech forests, and separated two OPUs of F.orientalis forests. However, a solution with only two ecologically defined alliances of F.sylvatica forests (acidophytic vs basiphytic) was clearly superior with regard to number and frequency of diagnostic species. In contrast, when comparing groupings with three to six geographical alliances of basiphytic beech forests, respectively, we did not find a strongly superior solution.ConclusionsWe propose to classify F.sylvatica forests into 15 suballiances - three acidophytic and 12 basiphytic ones. Separating these two groups at alliance or order level was clearly supported by our results. Concerning the grouping of the 12 basiphytic suballiances into ecological or geographical alliances, as advocated by many authors, we failed to find an optimal solution. Therefore, we propose a multi-dimensional classification of basiphytic beech forests, including both ecological and geographical groups as equally valid concepts which may be used alternatively depending on the purpose and context of the classification.
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- 2017
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43. Plant species diversity and composition of wet grasslands in relation to environmental factors
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Andraž Čarni and Igor Zelnik
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Abiotic component ,Ecology ,Wet meadow ,Soil test ,Biodiversity ,food and beverages ,Species diversity ,Phytogeography ,Agronomy ,Soil pH ,Environmental science ,Species richness ,Ecology, Evolution, Behavior and Systematics ,Nature and Landscape Conservation - Abstract
Relationships between environmental factors and plant species-richness as well as the composition of plant species in wet grasslands from the order Molinietalia caeruleae were studied with a view to quantifying the relative contribution of different abiotic factors, such as soil chemical parameters, climatic conditions and human impact to diversity of vascular plants and floristic composition. Data and soil samples were collected from 88 plots across Slovenia from regions at the eastern edge of the Po plain, karstic and pre-Alpine mountain regions and the western part of the Pannonian plain, which are classified to sub-Mediterranean, Dinnaric, pre-Alpine and sub-Pannonian phytogeographic areas. Plant diversity was positively correlated with the content of exchangeable Ca2+ in soil and the amount of annual precipitation, while significant negative correlation was calculated in case of the plant-available phosphorous content and altitude. Moreover, plant species richness was also negatively correlated with altitude. Among the groups of environmental factors the group of soil factors revealed the strongest correlation with species richness, followed by climatic and topographic group. The order of these groups was the same in the explanation of species composition. Variance of plant species composition was best explained with altitude, soil pH, geographical gradient, frequency of flooding, mean annual temperature, date of mowing, humidity, annual amount of precipitation as well as with the content of plant-available phosphorous, total nitrogen, exchangeable Mg2+ and Ca2+ in the soil.
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- 2013
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44. Functional Response TRAITS and Plant Community Strategy Indicate the Stage of Secondary Succession
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Paušič Andrej and Čarni Andraž
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geography ,Gradient analysis ,geography.geographical_feature_category ,Secondary succession ,Ecology ,Functional response ,Forestry ,Plant community ,Plant Science ,Ecological succession ,Biology ,Grassland ,Pollinator ,Afforestation ,Ecology, Evolution, Behavior and Systematics - Abstract
Changes of species composition, plant community strategy and functional response trait turnover were studied in a succession from dry pastures to a forest community (oak-hornbeam forests). The following question was asked: are functional response traits and plant community strategies indicators of TAA (time since agricultural land use abandonment), thus of a specific succession stage. Indirect gradient analysis (DCA) was used in order to observe the position of the relevés along the axis and to correlate it with TAA. It was found that the position of relevés on DCA axis 1 is our proxy for TAA. Correlations (Spearman’s rho) between the occurrence of plant functional traits and TAA were performed. Low-growing herb species with scleromorphic leaves and green or red flowers are the predominant plant type on grassland areas, while plant species with digitate, hydro or mesomorphic leaves and white flowers typically prevail in forest. The proportion of chamaephytes increases immediately after land abandonment (afforestation). In a closed forest stand, there are many more herb species with vegetative propagation (bulbils). Herbal species in those stands most often reward pollinators with pollen. The ecological strategy of the entire plant community changes with spontaneous afforestation. On grassland, stress-tolerant species are dominant. After 10 years, the community is defined as CS and after 200 years as a community with a C-CS strategy.
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- 2012
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45. Alien plant species and factors of invasiveness of anthropogenic vegetation in the Northwestern Balkans — a phytosociological approach
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Sava Vrbničanin, Zora Dajić Stevanović, Urban Šilc, Dragana Božić, and Andraž Čarni
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0106 biological sciences ,QH301-705.5 ,Continental phytogeographical region ,Introduced species ,Alien ,Regression tree ,Biology ,010603 evolutionary biology ,01 natural sciences ,General Biochemistry, Genetics and Molecular Biology ,Invasive species ,continental phytogeographical region ,mediterranean phytogeographical region ,Neophytes ,Biology (General) ,Endemism ,2. Zero hunger ,Mediterranean phytogeographical region ,Archaeophytes ,General Immunology and Microbiology ,Ecology ,General Neuroscience ,Propagule pressure ,neophytes ,Regression analysis ,04 agricultural and veterinary sciences ,Vegetation ,15. Life on land ,Habitat ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,regression tree ,General Agricultural and Biological Sciences ,archaeophytes - Abstract
We studied the anthropogenic vegetation of the Northwest Balkans in order to determine its susceptibility to invasion by alien plant species. We compiled a dataset of 3089 vegetation plots sampled between 1939 and 2009, recording a set of variables for each sample plot in order to determine which factors have the most effect on a habitat’s vulnerability to invaders. We calculated the proportion of native species, archaeophytes and neophytes for each plot. We used regression tree models to determine the site conditions of the most invaded anthropogenic habitats. The sample plots contained an average of 12.7% alien plant species, with a low proportion of archaeophytes (4.3%) and 8.4% neophytes. Local habitat conditions proved to have the largest effect, rather than climatic variables or propagule pressure. The proportion of archaeophytes follows a different pattern than that seen in central and northern Europe, indicating that macroecological factors are more important. Neophytes show a similar distribution to other European locations.
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- 2012
46. Geographical and ecological differentiation ofFagusforest vegetation in SE Europe
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Andraž Čarni, Urban Šilc, and Aleksander Marinšek
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Mediterranean climate ,Ecology ,biology ,Stratification (vegetation) ,Management, Monitoring, Policy and Law ,Phytogeography ,biology.organism_classification ,Ecological indicator ,Geography ,Boreal ,Forest vegetation ,Longitude ,Beech ,Nature and Landscape Conservation - Abstract
Questions: What is the main syntaxonomical pattern within beech forests in SE Europe? What macroecological and ecological factors distinguishthese forests? Location: SE Europe: Balkan Peninsula, from the SE Alps in Slovenia, through Croatia, Bosnia and Herzegovina, Serbia, Montenegro and the Republic of Mac- edonia to N and NE Greece and Bulgaria, covering ca. 400 000 km 2 over a length of 1000 km. Methods: With a view to differentiating beech and beech-fir forests, a data set of 5952 published and unpublished phytosociological relevesw ere surveyed. After stratification, 997 releves remained. Cluster analysis of the data set was used to calculate diagnostic species for each cluster. Ecological indicator values (EIV) were used to estimate ecological conditions. Average EIV, altitude, latitude and longitude for releves of each cluster were plotted in a detrended correspon- dence analysis (DCA) diagram for ecological interpretation of clusters and rela- tionships between clusters. Correlations between DCA relevescores and explanatory variables (EIV, portion of life forms and chorotypes, altitude, lati- tude and longitude) were subsequently calculated. Results: Cluster analysis divided mesophilous beech forests of SE Europe into two major clusters. Beech forests can therefore be classified into two alliances, Aremonio-Fagion and Fagion moesiacae. Further division revealed seven beech and beech-fir forest types, which we interpreted geographically and ecologically. A significant increase in the proportion of chamaephytes, hemicryptophytes and therophytes was detected along the main macroecological gradient towards the S and E. At the same time, the proportion of geophytes and phanerophytes sig- nificantly decreased in the same direction. There was also a significant increase in the proportion of Stenomediterranean, Eurymediterranean, Mediterranean- Montane, and Eurasian species, while Boreal species, as expected, decreased toward the southeast. The main differentiation of beech forests in SE Europe is due to macroecological factors (macro-climatic and historical development of vegetation), whereas local ecological factors (particularly temperature and mois- ture) are reflected in the differentiation of sub-alliances. Conclusions: Our study confirmed two major groups of beech forests in the research area, which could be classified into two alliances. It also revealed that there is not just an altitudinal distribution of beech forests in the SE part of the research area, but also structural and functional changes of communities as a result of the altitudinal limitation of beech forests and changed macroclimatic factors.
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- 2012
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47. Classification and phytogeographical differentiation of oriental beech forests in Turkey and Bulgaria
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Andraž Čarni, Ali Kavgaci, Münevver Arslan, Neslihan Erdoğan, and Ümit Bingöl
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Mediterranean climate ,biology ,Phytosociology ,Ecology ,Cell Biology ,Plant Science ,Stratification (vegetation) ,biology.organism_classification ,Phytogeography ,Biochemistry ,Floristics ,Geography ,Fagus orientalis ,Genetics ,Animal Science and Zoology ,Ordination ,Molecular Biology ,Beech ,Ecology, Evolution, Behavior and Systematics - Abstract
Floristic differentiation of the oriental beech (Fagus orientalis Lipsky) forests in Turkey and Bulgaria was investigated and the role of geographical and topographical factors in this differentiation was assessed. After geographical and ecological stratification of the available 922 releves, 288 remained. Classification, by applying cluster analysis, resulted in seven vegetation units defined by species composition which represent the geographical and ecological variation of Fagus orientalis forests. DCA ordination was applied to these units by passively projecting their chorological structure, as supplementary variables. For more detailed interpretation of vegetation types with similar geographic distribution patterns, PCA was applied by passively projecting the chorological elements, life-forms and topographical factors as supplementary variables. Seven vegetation units representing the geographical and ecological variety of Fagus orientalis forests were described. Four vegetation units represent the core area of Fagus orientalis distribution on the western and middle coast of the Black Sea region (Euxine region); the remaining three types represent the distribution in the eastern Black Sea region (Colchic region), the distribution in western and southern Anatolia under the influence of the Mediterranean climate and the distribution in the transitional zone from the Euxine region to the continental parts of Inner Anatolia, respectively. The four vegetation types in Euxine region reflect the decreasing effect of Black Sea towards Inner Anatolia, as well as altitudinal differences, except the forest type representing forests on calcareous sites. The other three vegetation units represent ravine, lowland to montane and altimontane forests in Euxine region. Fagus orientalis forests could be distinguished by their floristic composition, their chorological elements and life-forms spectra, which reflect a geographical and ecological gradients.
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- 2012
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48. Plant communities in gradients
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Andraž Čarni, Urban Šilc, A. Paušič, Petra Košir, Aleksander Marinšek, and Nina Juvan
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Secondary succession ,Gradient analysis ,Phytosociology ,Ecology ,Ordination ,Plant community ,Plant Science ,Vegetation ,Ecological succession ,Biology ,Phytogeography ,Ecology, Evolution, Behavior and Systematics - Abstract
The work deals with the confrontation of two approaches in vegetation science, which already had their origins at the beginning of the past century: gradient analysis and classification of communities. We tested whether samples are arranged along gradients according to the individualistic or the integrative concept. We studied gradients in several case studies – successional, altitudinal, gradient of human impact, phenological, macroecological, (phyto)geographical – and tried to detect the main gradient (by direct or indirect ordination methods) and arrange the plant assemblages along the gradient. We then applied different classification methods to test whether it is possible to detect discrete plant communities. We analyzed the secondary succession of birch forests in Slovenia, the process of autosuccession of Pinus brutia in Turkey, the altitudinal distribution of communities in rock crevices on silicate bedrock in Slovenia, the gradient of spruce planting in beech forest, the influence of the...
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- 2011
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49. Vegetation of temporary ponds in cold holes in the Taurus mountain chain (Turkey)
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Andraž Čarni, Mehmet Ali Başaran, Ali Kavgaci, Saime Basaran, Urban Šilc, Petra Košir, and Aleksander Marinšek
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geography.geographical_feature_category ,Ecology ,Plant community ,Cell Biology ,Plant Science ,Biochemistry ,Grassland ,Vegetation types ,Altitude ,Geography ,Mountain chain ,Genetics ,medicine ,Animal Science and Zoology ,medicine.symptom ,Marsh vegetation ,Vegetation (pathology) ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics - Abstract
The work deals with vegetation zonation in temporary ponds within cold holes in the Western Taurus mountain chain. There are two main factors that cause differentiation within the studied vegetation: one relates to the microtopography, the other to altitude. In the bottom of temporary ponds, marsh vegetation of Ranunculo argyrei-Tanacetea argentei (Sedo nani-Convolvuletalia galactici) appears (an endemic class vicariant to Scheuchzerio-Caricetea fuscae); in the intermediate zone, the vegetation is dominated by therophytes of Stellarietea mediae (Thero-Brometalia) and in the upper part, there is vegetation of hygrophilous grassland communities of Molinio-Arrhenatheretea (Potentillo-Polygonetalia). This zonation of communities can be found at lower altitudes (up to 1600 m); whereas at higher altitudes, the intermediate zone dominated by therophytes gradually disappears and then also the hygrophilous grasslands. The work also provides a description of new syntaxa, to wit: Ranunculo argyrei-Tanacetea argentei, Sedo nani-Convolvuletalia galactici, Rorippo aureae-Eleocharidion quinqueflorae, Sedo nani-Ranunculetum argyrei, Trifolio caudati-Hordeion geniculati, Taeniathero caput-medusae-Hordeetum geniculati, Alopecuro vaginati-Trifolion resupinati and Ornithogalo lanceolati-Elymetum repentis.
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- 2010
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50. Notes on phytosociology of Juniperus Excelsa in Macedonia (Southern Balkan Peninsula)
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Ladislav Mucina, Urban Šilc, Vlado Matevski, Andraž Čarni, Mitko Kostadinovski, Aleksander Marinšek, and Andrej Paušič
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Phytosociology ,biology ,Ecology ,Ecology (disciplines) ,Forestry ,Plant Science ,Vegetation ,biology.organism_classification ,Balkan peninsula ,Deciduous ,Habitat ,Juniperus excelsa ,Nomenclature ,Ecology, Evolution, Behavior and Systematics - Abstract
Notes on phytosociology ofJuniperus Excelsain Macedonia (Southern Balkan Peninsula)Juniperus excelsais an East Mediterranean species found also in marginal, sub-mediterranean regions of the southern part of the Balkan Peninsula. It prefers shallow soils in the warmest habitats of the zone of thermophilous deciduous forests. In the past the rank of alliance and the name ofJuniperion excelsae-foetidissimaehave been suggested for the vegetation dominated byJuniperus excelsain the Balkan Peninsula. In this paper we present the valid description of the alliance in accordance with the International Code of Phytosociological Nomenclature. The validation of theJuniperion excelsae-foetidissimaerequired description of a new association - theQuerco trojanae-Juniperetum excelsae.TheJuniperion excelsae-foetidissimaeis classified within the order ofQuercetalia pubescentisKlika 1933 (theQuercetea pubescentisDoing-Kraft ex Scamoni et Passarge 1959).
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- 2010
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