Institution
Slovenian Academy of Sciences and Arts
Other•Ljubljana, Slovenia•
About: Slovenian Academy of Sciences and Arts is a other organization based out in Ljubljana, Slovenia. It is known for research contribution in the topics: Karst & Vegetation. The organization has 295 authors who have published 771 publications receiving 12914 citations. The organization is also known as: SAZU & SASA.
Topics: Karst, Vegetation, Cave, Context (language use), Sexual dimorphism
Papers published on a yearly basis
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Stellenbosch University1, University of Western Australia2, University of Kiel3, University of Geneva4, Free University of Berlin5, University of Nova Gorica6, Slovenian Academy of Sciences and Arts7, Macedonian Academy of Sciences and Arts8, Academy of Sciences of the Czech Republic9, University of Vienna10, University of Bayreuth11, Complutense University of Madrid12, Masaryk University13, Sapienza University of Rome14, University of Zielona Góra15, University of Münster16, University of Göttingen17, Russian Academy of Sciences18, Slovak Academy of Sciences19, Radboud University Nijmegen20, Wageningen University and Research Centre21, National Academy of Sciences of Ukraine22, University of Lisbon23, University of Vechta24, University of California, Davis25, University of Patras26
TL;DR: This paper features the first comprehensive and critical account of European syntaxa and synthesizes more than 100 yr of classification effort by European phytosociologists.
Abstract: Aims: Vegetation classification consistent with the
Braun-Blanquet approach is widely used in Europe for applied
vegetation science, conservation planning and land management.
During the long history of syntaxonomy, many concepts and names
of vegetation units have been proposed, but there has been no
single classification system integrating these units. Here we
(1) present a comprehensive, hierarchical, syntaxonomic system
of alliances, orders and classes of Braun-Blanquet syntaxonomy
for vascular plant, bryophyte and lichen, and algal communities
of Europe; (2) briefly characterize in ecological and
geographic terms accepted syntaxonomic concepts; (3) link
available synonyms to these accepted concepts; and (4) provide
a list of diagnostic species for all classes. LocationEuropean
mainland, Greenland, Arctic archipelagos (including Iceland,
Svalbard, Novaya Zemlya), Canary Islands, Madeira, Azores,
Caucasus, Cyprus. Methods: We evaluated approximately 10000
bibliographic sources to create a comprehensive list of
previously proposed syntaxonomic units. These units were
evaluated by experts for their floristic and ecological
distinctness, clarity of geographic distribution and compliance
with the nomenclature code. Accepted units were compiled into
three systems of classes, orders and alliances
(EuroVegChecklist, EVC) for communities dominated by vascular
plants (EVC1), bryophytes and lichens (EVC2) and algae (EVC3).
Results: EVC1 includes 109 classes, 300 orders and 1108
alliances; EVC2 includes 27 classes, 53 orders and 137
alliances, and EVC3 includes 13 classes, 24 orders and 53
alliances. In total 13448 taxa were assigned as indicator
species to classes of EVC1, 2087 to classes of EVC2 and 368 to
classes of EVC3. Accepted syntaxonomic concepts are summarized
in a series of appendices, and detailed information on each is
accessible through the software tool EuroVegBrowser.
Conclusions: This paper features the first comprehensive and
critical account of European syntaxa and synthesizes more than
100 yr of classification effort by European phytosociologists.
It aims to document and stabilize the concepts and nomenclature
of syntaxa for practical uses, such as calibration of habitat
classification used by the European Union, standardization of
terminology for environmental assessment, management and
conservation of nature areas, landscape planning and education.
The presented classification systems provide a baseline for
future development and revision of European syntaxonomy.
817 citations
University of Bristol1, University of Oregon2, Macquarie University3, Imperial College London4, University of Wyoming5, Centre national de la recherche scientifique6, University of Exeter7, Osaka City University8, University of Wisconsin-Madison9, University of New South Wales10, American Museum of Natural History11, Australian National University12, University of Bern13, Slovenian Academy of Sciences and Arts14, Sofia University15, University of Göttingen16, University of Montpellier17, Canadian Forest Service18, Geological Survey of Denmark and Greenland19, University of Newcastle20, École Polytechnique Fédérale de Lausanne21, Monash University22, Australian Nuclear Science and Technology Organisation23, University of Bremen24, UPRRP College of Natural Sciences25, University of Calgary26, University of Tennessee27, University of Cologne28, Virginia Tech29, Russian Academy of Sciences30, University of Wisconsin–Oshkosh31, Sapienza University of Rome32, Katholieke Universiteit Leuven33, University of Chile34, University of Queensland35, University of Münster36, University of the Witwatersrand37, Stockholm University38, Laval University39, University of Franche-Comté40, Geode41, University of Plymouth42, Fordham University43, University of the Free State44, Kyoto Prefectural University45, University of Orléans46, University of Kansas47, University of Geneva48, Central Washington University49, Chinese Academy of Sciences50
TL;DR: This article analyzed sedimentary charcoal records to show that the changes in fire regime over the past 21,000 yrs are predictable from changes in regional climates and showed that fire increases monotonically with changes in temperature and peaks at intermediate moisture levels.
Abstract: Climate is an important control on biomass burning, but the sensitivity of fire to changes in temperature and moisture balance has not been quantified. We analyze sedimentary charcoal records to show that the changes in fire regime over the past 21,000 yrs are predictable from changes in regional climates. Analyses of paleo- fire data show that fire increases monotonically with changes in temperature and peaks at intermediate moisture levels, and that temperature is quantitatively the most important driver of changes in biomass burning over the past 21,000 yrs. Given that a similar relationship between climate drivers and fire emerges from analyses of the interannual variability in biomass burning shown by remote-sensing observations of month-by-month burnt area between 1996 and 2008, our results signal a serious cause for concern in the face of continuing global warming.
362 citations
Martin Luther University of Halle-Wittenberg1, University of Bayreuth2, Zürcher Fachhochschule3, University of Picardie Jules Verne4, University of Oviedo5, Wageningen University and Research Centre6, Masaryk University7, University of Nottingham8, University of Rostock9, Max Planck Society10, Universidade Federal do Rio Grande do Sul11, University of North Carolina at Chapel Hill12, Santa Clara University13, Leiden University14, Academy of Sciences of the Czech Republic15, Shahjalal University of Science and Technology16, Sapienza University of Rome17, Natural Resources Canada18, Florida International University19, Universidade Federal do Acre20, Ghent University21, University of Göttingen22, University of the Basque Country23, Aarhus University24, Environmental Change Institute25, Rocky Mountain Biological Laboratory26, Slovenian Academy of Sciences and Arts27, University of Nova Gorica28, King Juan Carlos University29, Czech University of Life Sciences Prague30, VU University Amsterdam31, University of Würzburg32, National University of Cordoba33, National University of Saint Anthony the Abbot in Cuzco34, Wake Forest University35, University of Exeter36, Université du Québec en Abitibi-Témiscamingue37, University of Montpellier38, University of Adelaide39, University of Chile40, IFREMER41, University of British Columbia42, Universidade do Estado de Santa Catarina43, University of Münster44, University of Hamburg45, University of Wrocław46, Swiss Federal Institute for Forest, Snow and Landscape Research47, University of Zurich48, University of Oldenburg49, University of Wyoming50, University of Waikato51, Institut national de la recherche agronomique52, Sofia University53, Royal Botanic Gardens54, University of Edinburgh55, Landcare Research56, Radboud University Nijmegen57, Spanish National Research Council58, University of Barcelona59, University of Leeds60, University of Tartu61, University of Minnesota62, University of Sydney63, University of Jena64, University of La Serena65, Peking University66, Iwokrama International Centre for Rain Forest Conservation and Development67, Aristotle University of Thessaloniki68, Bulgarian Academy of Sciences69, University of Oulu70, University of Wisconsin–Eau Claire71, International Institute of Minnesota72, American Museum of Natural History73, Leipzig University74
TL;DR: It is shown that global trait composition is captured by two main dimensions that are only weakly related to macro-environmental drivers, which reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale.
Abstract: 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.
349 citations
Centre national de la recherche scientifique1, Helmholtz Centre for Environmental Research - UFZ2, Technical University of Berlin3, University of Debrecen4, Jagiellonian University5, Vilnius University6, Estonian University of Life Sciences7, Butterfly Conservation8, Slovenian Academy of Sciences and Arts9
TL;DR: The EuMon project conducted a large-scale evaluation of monitoring practices in Europethroughanon-linequestionnaireandisreportingontheresultheresultsofthissurvey as mentioned in this paper.
Abstract: Without robust and unbiased systems for monitoring, changes in natural systems will remain enigmatic for policy makers, leaving them without a clear idea of the consequences of any environmental policies they might adopt. Generally, biodiversity-monitoring activities are not integrated or evaluated across any large geographic region. The EuMon project conducted the first large-scale evaluation of monitoring practices inEuropethroughanon-linequestionnaireandisreportingontheresultsofthissurvey.InSeptember 2007 the EuMon project had documented 395 monitoring schemes for species, which represents a total annual cost of about €4 million, involving more than 46,000 persons devoting over 148,000 person-days/year to biodiversity-monitoring activities. Here we focused on the analysis of variations of monitoring practices across a set of taxonomic groups (birds, amphibians and reptiles, mammals, butterflies, plants, and other insects) and across 5 European countries (France, Germany, Hungary, Lithuania, and Poland). Our results suggest that the overall sampling effort of a scheme is linked with the proportion of volunteers involved in that scheme. Because precision is a function of the number of monitored sites and the number of sites is maximized by volunteer involvement, our results do not support the common belief that volunteer-based schemes are too noisy to be informative. Just the opposite, we believe volunteer-based schemes provide relatively reliable data,
327 citations
TL;DR: The lognormal distribution deserves greater consideration as a richness estimator when undersampling bias is severe, and should be the default null hypothesis for singleton frequencies.
Abstract: Summary 1. Frequency of singletons ‐ species represented by single individuals ‐ is anomalously high in most large tropical arthropod surveys (average, 32%). 2. We sampled 5965 adult spiders of 352 species (29% singletons) from 1 ha of lowland tropical moist forest in Guyana. 3. Four common hypotheses (small body size, male-biased sex ratio, cryptic habits, clumped distributions) failed to explain singleton frequency. Singletons are larger than other species, not gender-biased, share no particular lifestyle, and are not clumped at 0·25‐1 ha scales. 4. Monte Carlo simulation of the best-fit lognormal community shows that the observed data fit a random sample from a community of ~700 species and 1‐2 million individuals, implying approximately 4% true singleton frequency. 5. Undersampling causes systematic negative bias of species richness, and should be the default null hypothesis for singleton frequencies. 6. Drastically greater sampling intensity in tropical arthropod inventory studies is required to yield realistic species richness estimates. 7. The lognormal distribution deserves greater consideration as a richness estimator when undersampling bias is severe.
302 citations
Authors
Showing all 306 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Ingi Agnarsson | 41 | 138 | 6153 |
| Matjaž Kuntner | 33 | 126 | 3725 |
| Igor Grabec | 28 | 135 | 2279 |
| Andraž Čarni | 22 | 101 | 2298 |
| Urban Šilc | 20 | 90 | 1974 |
| Špela Goričan | 19 | 49 | 863 |
| Krištof Oštir | 18 | 74 | 1721 |
| Matija Zorn | 17 | 123 | 1137 |
| Simona Kralj-Fišer | 17 | 44 | 969 |
| Andrej Mihevc | 15 | 71 | 490 |
| Janez Mulec | 15 | 63 | 729 |
| Nataša Ravbar | 15 | 70 | 858 |
| Stanka Šebela | 15 | 79 | 613 |
| Adrijan Košir | 14 | 20 | 517 |
| Metka Petrič | 14 | 73 | 632 |