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A deep‐learning framework for enhancing habitat identification based on species composition
Leblanc, C., Bonnet, P., Servajean, M., Chytrý, M., Aćić, S., Argagnon, O., … Joly, A. (2024). A deep‐learning framework for enhancing habitat identification based on species composition. Applied Vegetation Science, 27(3), e12802 (17 pp.). https://doi.org/10.1111/avsc.12802
Classification of European oak‐hornbeam forests and related vegetation types
Novák, P., Willner, W., Biurrun, I., Gholizadeh, H., Heinken, T., Jandt, U., … Chytrý, M. (2023). Classification of European oak‐hornbeam forests and related vegetation types. Applied Vegetation Science, 26(1), e12712 (25 pp.). https://doi.org/10.1111/avsc.12712
Classification of European bog vegetation of the <em>Oxycocco-Sphagnetea</em> class
Jiroušek, M., Peterka, T., Chytrý, M., Jiménez-Alfaro, B., Kuznetsov, O. L., Pérez-Haase, A., … Hájek, M. (2022). Classification of European bog vegetation of the Oxycocco-Sphagnetea class. Applied Vegetation Science, 25(1), e12646 (19 pp.). https://doi.org/10.1111/avsc.12646
EUNIS Habitat Classification: expert system, characteristic species combinations and distribution maps of European habitats
Chytrý, M., Tichý, L., Hennekens, S. M., Knollová, I., Janssen, J. A. M., Rodwell, J. S., … Schaminée, J. H. J. (2020). EUNIS Habitat Classification: expert system, characteristic species combinations and distribution maps of European habitats. Applied Vegetation Science, 23(4), 648-675. https://doi.org/10.1111/avsc.12519
MULVA-5: an upgraded version of a widely used computer package for data analysis in plant ecology
Wildi, O., & Krüsi, B. O. (1993). MULVA-5: an upgraded version of a widely used computer package for data analysis in plant ecology. Abstracta Botanica, 17(1-2), 267-273.