Profile
Lengyel, Attila, PhD
research fellow
Contact:
lengyel.attila@ecolres.hu
plant invasions, vegetation science, data analysis, biodiversity, citizen science
Current research topics:
- Alien plant species in Hungary: I am interested in the changes in the flora of Hungary and Europe, the naturalisation process of alien species, and the ecological effects of multi-species invasions. This topic is also in the focus of my Bolyai scholarship.
- Long-term vegetation changes: As a participant of a KEHOP project, I am using data from the National Biodiversity-monitoring System for revealing long-term changes of plant communities in Hungary.
- Development and application of plant and vegetation databases: During my work, I often encounter different types of data, like plant traits, occurrences, phytosociological relevés, including citizen science data. I find it a tempting challenge to combine these different sources of information to answer ecological questions. The databases I most frequently use are the CoenoDat (Hungarian phytosociological database – under construction), Vascular plants of Hungary online database, iNaturalist, GBIF, PADAPT
Currently inactive research topics I used to work on in the past include vegetation classification, the development of statistical methods for use in ecology, and the ecological consequences of heterostyly.
Selected publications
Lengyel, Attila; Landucci, Flavia; Mucina, Ladislav; L Tsakalos, James; Botta‐Dukát, Zoltán. Joint optimization of cluster number and abundance transformation for obtaining effective vegetation classifications JOURNAL OF VEGETATION SCIENCE. 29: 336-347
2018
Lengyel, Attila; Botta‐Dukát, Zoltán. Silhouette width using generalized mean—A flexible method for assessing clustering efficiency ECOLOGY AND EVOLUTION. 9: 13231-13243
2019
Lengyel, Attila; Roberts, David W.; Botta‐Dukát, Zoltán. Comparison of silhouette‐based reallocation methods for vegetation classification JOURNAL OF VEGETATION SCIENCE. 32: -
2021
Lengyel Attila; Botta‐Dukát Zoltán. A guide to between‐community functional dissimilarity measures ECOGRAPHY, 2023 : 11. Paper: 06718 (2023)
2023
