Ákos BEDE-FAZEKAS, PhD

Ákos BEDE-FAZEKAS, PhD

2022.01.01.
Ákos BEDE-FAZEKAS, PhD

senior lecturer (partial time)

Contact

akos.bede-fazekas [at] ttk.elte.hu

bfakos [at] ecolres.hu

official website (at CER)

ResearchGate

Information for applicants for Stipendium Hungaricum scholarship

Qualifications

University studies and qualifications

2009 – landscape management and construction (BSc) – Corvinus University of Budapest

2012 – landscape architect (MSc) – Corvinus University of Budapest

2013 – software information technologist (BSc) – Eötvös Loránd University

Scientific degree

2017 – agricultural engeneering sciences (PhD) – Szent István University

Prediction of the potential planting area for woody ornamental plants based on potential natural vegetation models

Languages

English – intermediate level

French – basic level

Workplaces, positions

2015–2018 assistant research fellow (MTA Centre for Ecological Research, Institute of Ecology and Botany)
from 2018 research fellow (Centre for Ecological Research, Institute of Ecology and Botany)
from 2021 partial-time senior lecturer (ELTE TTK Department of Environmental and Landscape Geography)

Education

BSc:

  • ornamental plants, horticultural dendrology (Corvinus University of Budapest, Szent István University)
  • geoinformatics – ArcGIS (Eötvös Loránd University)

MSc/MA:

  • ornamental plant application (Corvinus University of Budapest, Szent István University)
  • geoinformatics (University of Veterinary Medicine Budapest)
  • geoinformatics – ArcGIS, QGIS (Eötvös Loránd University)
  • programming basics – Python, HTML+CSS+JavaScript (Eötvös Loránd University)
  • geoinformatics-related programming – Python (rasterio, fiona, shapely, arcpy), R (sf, raster), JavaScript (Leaflet, Google Earth Engine) (Eötvös Loránd University)

PhD, postgradual:

  • geostatistics (Hungarian University of Agriculture and Life Sciences)
  • geoinformatics-related programming – R (sf, raster) (Eötvös Loránd University)
  • programming – R (functions, error handling) (ÖK ÖBI Talentia program)

at any educational level:

  • geoinformatics-related programming – R (sp, sf, raster) (Eötvös Loránd University)
  • stylization with ornamental plants (Corvinus University of Budapest, Szent István University)

Supervision

Corvinus University of Budapest, Szent István University – 8 BSc

Eötvös Loránd University – 1 BSc, 1 MSc

University of Veterinary Medicine Budapest – 1 MSc

Open BSc/MSc thesis topics for geography and environmental science students

Profile in the Hungarian Doctoral Database (doktori.hu)

Research

Keywords of research interest

  • climate change
  • potential natural vegetation
  • ornamental plants
  • ecological modeling
  • predictive distribution modeling

Main research topics

Publications

Package development

[R] LandComp: Analysing Landscape Composition and Structure at Multiple Scales (maintainer: Krisztina Dóra Konrád)

[R] confcons: Confidence and Consistency of Predictive Distribution Models (maintainer: Ákos Bede-Fazekas)

List of scientific publications

The Hungarian Scientific Bibliography (MTMT)

Google Scholar

Web of Science (peer reviews)

D1 publications

2024

Zhang Z, Ma S, Bede-Fazekas Á, Mammola S, Qu M, Zhou J, Feng EY, Qin G, Lin Q (2024): Considering biotic interactions exacerbates the predicted impacts of climate change on coral-dwelling species. Journal of Biogeography 51(4): 769–782 .

2023

Bede-Fazekas Á, Somodi I (2023): Bridging the gap between an applied map and the scientific needs: how to visualize plant hardiness zone maps, their differences and their uncertainties?. Applied Geography 154: 102938.
Konrád KD, Bede-Fazekas Á, Bartha S, Somodi I (2023): Adapting a multiscale approach to assess the compositional diversity of landscapes. Landscape Ecology 38(11): 2731–2747.
Bede-Fazekas Á, Török P, Erdős L (2023): Empirical delineation of the forest-steppe zone is supported by macroclimate. Scientific Reports 13(1): 17379.
2022
Erdős L*, Bede-Fazekas Á*, Bátori Z, Berg C, Kröel-Dulay G, Magnes M, Sengl P, Tölgyesi C, Török P, Zinnen J (2022): Species-based indicators to assess habitat degradation: Comparing the conceptual, methodological, and ecological relationships between hemeroby and naturalness values. Ecological Indicators 136: 108707.
McDonald GC*, Bede-Fazekas Á*, Ivanov A, Crecco L, Székely T, Kosztolányi A (2022): Landscape and climatic predictors of Kentish Plover (Charadrius alexandrinus) distributions throughout Kazakhstan. Ibis 164(4): 949–967.
Erdős L, Török P, Veldman J, Bátori Z, Bede-Fazekas Á, Magnes M, Kröel-Dulay G, Tölgyesi C (2022): How climate, topography, soils, herbivores, and fire control forest-grassland coexistence in the Eurasian forest-steppe biome. Biological Reviews 97(6): 2195–2208.
Konrád KD, Bede-Fazekas Á, Molnár Z, Somodi I (2022): Multilayer landscape classification based on potential vegetation. Preslia 94(4): 631–650.

2021

Demeter L, Molnár ÁP, Bede-Fazekas Á, Öllerer K, Varga A, Szabados K, Tucakov M, Kiš A, Biró M, Marinkov J, Molnár Z (2021): Controlling invasive alien shrub species, enhancing biodiversity and mitigating flood risk: A win–win–win situation in grazed floodplain plantations. Journal of Environmental Management 295: 113053.

2020

Bede-Fazekas Á, Somodi I (2020): The way bioclimatic variables are calculated has impact on potential distribution models. Methods in Ecology and Evolution 11(12): 1559–1570.
Ujházy N, Molnár Z, Bede-Fazekas Á, Szabó MO, Biró M (2020): Do farmers and conservationists perceive landscape changes differently? Ecology and Society 25(3): 1–17.
Erdős L, Török P, Szitár K, Bátori Z, Tölgyesi C, Kiss PJ, Bede-Fazekas Á, Kröel-Dulay G (2020): Beyond the forest-grassland dichotomy: the gradient-like organization of habitats in forest-steppes. Frontiers in Plant Science 11: 236.

2019

Pinke G, Kolejanisz T, Vér A, Nagy K, Milics G, Schlögl G, Bede-Fazekas Á, Botta-Dukát Z, Czúcz B (2019): Drivers of Ambrosia artemisiifolia abundance in arable fields along the Austrian-Hungarian border. Preslia 91(4): 369–389.

2017

Somodi I, Molnár Z, Czúcz B, Bede-Fazekas Á, Bölöni J, Pásztor L, Laborczi A, Zimmermann NE (2017): Implementation and application of multiple potential natural vegetation models – a case study of Hungary. Journal of Vegetation Science 28(6): 1260–1269.
*: co-first-authors