Profile

Research topics

• climate change and potential natural vegetation
• methodology of predictive ecological modeling
• climate analogy and bioclimatic variables
• geoinformatics in ecology

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

Scientific profile

CER Institute of Ecology and Botany
ELTE University
ResearchGate
Profile in the Hungarian Doctoral Database (doktori.hu)

List of scientific publications

The Hungarian Scientific Bibliography (MTMT)
Google Scholar
Web of Science (peer reviews)

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)

D1 publications

2024

	Garamszegi LZ, Soltész Z, Szentiványi T, Kurucz K, Nagy G, Bede-Fazekas Á (2024): Identifying ecological factors mediating the spread of three invasive mosquito species: citizen science informed prediction. Journal of Pest Science.
	Tanács E*, Bede-Fazekas Á*, Báldi A (2024): Surprisingly good fit of pressure-based cropland condition map and bird census data at the national scale. Ecological Indicators 167: 112665.
	Huang H*, Zhang Z*, Bede-Fazekas Á, Mammola S, Gu J, Zhou J, Qu J, Lin Q (2024): Cross‐validation matters in species distribution models: a case study with goatfish species. Ecography 2024: e07354.
	Bede‐Fazekas Á, Somodi I (2024): Precipitation and temperature timings underlying bioclimatic variables rearrange under climate change globally. Global Change Biology 30(9): e17496.
	Demeter L, Kiš A, Kemenes A, Ulicsni V, Juhász E, Đapić M, Bede-Fazekas Á, Szabados K, Öllerer K, Molnár Z (2024): Uncovering the little known impact of a millennia-old traditional use of temperate oak forests: free-ranging domestic pigs markedly change the herb layer, but barely affect the shrub layer. Forest Ecology and Management 568: 122150.
	Jakab G, Bede-Fazekas Á, Vona V, Madarász B, Karlik M, Zacháry D, Filep T, Dévény Z, Centeri C, Masoudi M, Bidló A, Al-Graiti T, Szatmári G, Vancsik A, Király C, Darabos G, Angyal Z, Szalai Z (2024): Beyond land use: Understanding variations in topsoil bulk versus recalcitrant organic matter. CATENA 244: 108232.
	Zhang Z*, Zhou J*, García Molinos J, Mammola S, Bede-Fazekas Á, Feng X, Kitazawa D, Assis J, Qiu T, Lin Q (2024): Incorporating physiological knowledge into correlative species distribution models minimizes bias introduced by the choice of calibration area. Marine Life Science & Technology 6(2): 349–362.
	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.
	Cevallos D, Bede‐Fazekas Á, Tanács E, Szitár K, Halassy M, Kövendi‐Jakó A, Török K (2020): Seed transfer zones based on environmental variables better reflect variability in vegetation than administrative units: evidence from Hungary. Restoration Ecology 28(4): 911–918.

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.
	Nah K, Magpantay FMG, Bede-Fazekas Á, Röst G, Trájer AJ, Wu X, Zhang X, Wu J (2019): Assessing systemic and non-systemic transmission risk of tick-borne encephalitis virus in Hungary. PLOS ONE 14(6): e0217206. DOI: 10.1371/journal.pone.0217206.

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

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, 5 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)