EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats
| Autor: | 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 |
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| Přispěvatelé: | SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Patrimoine naturel (PatriNat), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Office français de la biodiversité (OFB) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
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 |
| Zdroj: | Applied Vegetation Science Applied Vegetation Science, Wiley, 2020, 23 (4), pp.648-675. ⟨10.1111/avsc.12519⟩ Applied Vegetation Science, 23, 648-675 Scopus RUO. Repositorio Institucional de la Universidad de Oviedo instname Applied Vegetation Science, 23(4), 648-675 Addi. Archivo Digital para la Docencia y la Investigación RUO: Repositorio Institucional de la Universidad de Oviedo Universidad de Oviedo (UNIOVI) Applied Vegetation Science 23 (2020) 4 Dipòsit Digital de la UB Universidad de Barcelona Applied Vegetation Science 23 Applied Vegetation Science, 23, 4, pp. 648-675 Addi: Archivo Digital para la Docencia y la Investigación Universidad del País Vasco |
| ISSN: | 1402-2001 |
| DOI: | 10.1111/avsc.12519⟩ |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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