János Bölöni
Hungarian Academy of Sciences
32 Papers
177 Citations
János Bölöni is an academic researcher from Hungarian Academy of Sciences. The author has contributed to research in topics: Vegetation & Biodiversity. The author has an hindex of 15, co-authored 28 publications.
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Papers
EUNIS Habitat Classification: expert system, characteristic species combinations and distribution maps of European habitats
Milan Chytrý,Lubomír Tichý,Stephan M. Hennekens,Ilona Knollová,John Janssen,John S. Rodwell,Tomáš Peterka,Corrado Marcenò,Flavia Landucci,Jiří Danihelka,Michal Hájek,Jürgen Dengler,Jürgen Dengler,Pavel Novák,Dominik Zukal,Borja Jiménez-Alfaro,Ladislav Mucina,Ladislav Mucina,Sylvain Abdulhak,Svetlana Aćić,Emiliano Agrillo,Fabio Attorre,Erwin Bergmeier,Idoia Biurrun,Steffen Boch,János Bölöni,Gianmaria Bonari,Gianmaria Bonari,Tatiana Braslavskaya,Helge Bruelheide,Juan Antonio Campos,Andraž Čarni,Andraž Čarni,Laura Casella,Mirjana Ćuk,Renata Ćušterevska,Els De Bie,Pauline Delbosc,Olga N. Demina,Yakiv Didukh,Daniel Dítě,Tetiana Dziuba,Jörg Ewald,Rosario G. Gavilán,Jean Claude Gégout,Gianpietro Giusso del Galdo,Valentin Golub,Nadezhda Goncharova,Friedemann Goral,Ulrich Graf,Adrian Indreica,Maike Isermann,Ute Jandt,Florian Jansen,Jan B.M.J. Jansen,Anni Jašková,Martin Jiroušek,Martin Jiroušek,Zygmunt Kącki,Veronika Kalníková,Ali Kavgaci,Larisa Khanina,Andrey Yu. Korolyuk,Mariya Kozhevnikova,Anna Kuzemko,Anna Kuzemko,Filip Küzmič,Oleg L. Kuznetsov,Māris Laiviņš,I. A. Lavrinenko,O. V. Lavrinenko,Maria Vladimirovna Lebedeva,Zdeňka Lososová,Tatiana Lysenko,Lise Maciejewski,Lise Maciejewski,Constantin Mardari,Aleksander Marinšek,Maxim G. Napreenko,Viktor Onyshchenko,Aaron Pérez-Haase,Aaron Pérez-Haase,Remigiusz Pielech,Vadim Prokhorov,Valerijus Rašomavičius,Maria Pilar Rodríguez Rojo,Solvita Rūsiņa,Joachim Schrautzer,Jozef Šibík,Urban Šilc,Željko Škvorc,Viktor A. Smagin,Zvjezdana Stančić,Angela Stanisci,Elena B. Tikhonova,Tiina Tonteri,Domas Uogintas,Milan Valachovič,Kiril Vassilev,Denys Vynokurov,Denys Vynokurov,Wolfgang Willner,S. M. Yamalov,Douglas Evans,Mette Palitzsch Lund,Rania Spyropoulou,Eleni Tryfon,Joop H.J. Schaminée +107 more
TL;DR: This article developed the classification expert system EUNIS-ESy, which assigns vegetation plots to European habitats based on their species composition and geographic location. But the system is not suitable for outdoor gardening.
Beyond the obvious impact of domestic livestock grazing on temperate forest vegetation – A global review
TL;DR: In this paper, the authors summarized the main scientific evidence and knowledge gaps on forest livestock grazing through a global review of the literature for the temperate region and stress the need for well-planned real-world experiments and observations, and for more quantitative studies to foster evidence-based conservation management.
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A grid-based, satellite-image supported, multi-attributed vegetation mapping method (MÉTA)
Zsolt Molnár,Sándor Bartha,Tibor Seregélyes,Eszter Illyés,Zoltán Botta-Dukát,Gábor Tímár,Ferenc Horváth,A. Révész,András Kun,János Bölöni,Marianna Biró,László Bodonczi,Áron Deák József,Péter Fogarasi,András Horváth,István Isépy,László Karas,Ferenc Kecskés,Csaba Molnár,Adrienne Ortmann-né Ajkai,Szilvia Rév +20 more
TL;DR: In this paper, the main characteristics of a new grid-based, landscape-ecology-oriented, satellite-image supported, field vegetation mapping method, called META (META stands for Magyarorszagi Előhelyek Terkepi Adatbazisa: GIS Database of the Hungarian Habitats).
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Use of long-term data to evaluate loss and endangerment status of Natura 2000 habitats and effects of protected areas.
TL;DR: This work analysed, from a long-term perspective, the habitat specificity of habitat-area loss, the change in trends in habitat loss since 1989, and the impact of protected areas on habitat loss in Hungary.
68
Implementation and application of multiple potential natural vegetation models - a case study of Hungary
Imelda Somodi,Zsolt Molnár,Bálint Czúcz,Ákos Bede-Fazekas,János Bölöni,László Pásztor,Annamária Laborczi,Niklaus E. Zimmermann +7 more
TL;DR: In this paper, the authors proposed a framework for the probabilistic and multilayer representation of potential vegetation in an area by modeling the occurrence probabilities of individual vegetation types using gradient boosting models (GBM).
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