Search results

  1. 1.
    0571012 - BC 2024 RIV NL eng J - Journal Article
    Jílková, Veronika - Adámek, M. - Angst, Gerrit - Tůmová, Michala - Devetter, Miloslav
    Post-fire forest floor succession in a Central European temperate forest depends on organic matter input from recovering vegetation rather than on pyrogenic carbon input from fire.
    Science of the Total Environment. Roč. 861, February (2023), č. článku 160659. ISSN 0048-9697. E-ISSN 1879-1026
    R&D Projects: GA MŠMT(CZ) LTC20058; GA ČR(CZ) GJ19-00533Y
    Institutional support: RVO:60077344
    Keywords : space-for-time substitution * chronosequence * coniferous forest * nutrients * microorganisms
    OECD category: Soil science
    Impact factor: 9.8, year: 2022
    Method of publishing: Limited access
    https://www.sciencedirect.com/science/article/pii/S0048969722077622?via%3Dihub
    Permanent Link: https://hdl.handle.net/11104/0344243
     
     
  2. 2.
    0566783 - BC 2023 CZ cze J - Journal Article
    Devetter, Miloslav - Adámek, M.
    Oheň lesu pomáhá.
    [A forest fire helps.]
    Vesmír. Roč. 101, č. 12 (2022), s. 754-758. ISSN 0042-4544. E-ISSN 1214-4029
    Institutional support: RVO:60077344
    Keywords : forest fire * soil organic carbon * soil fauna
    OECD category: Ecology
    Method of publishing: Limited access
    https://vesmir.cz/cz/casopis/archiv-casopisu/2022/cislo-12/ohen-lesu-pomaha.html
    Permanent Link: https://hdl.handle.net/11104/0340560
     
     
  3. 3.
    0565540 - BC 2023 RIV CH eng J - Journal Article
    Renčo, M. - Adámek, M. - Jílková, Veronika - Devetter, Miloslav
    Post-fire recovery of soil nematode communities depends on fire severity.
    Diversity. Roč. 14, č. 12 (2022), č. článku 1116. E-ISSN 1424-2818
    R&D Projects: GA MŠMT(CZ) LTC20058
    Institutional support: RVO:60077344
    Keywords : ecosystem recovery * fire severity * nematoda * soil * diversity * coniferous forest * wildfire
    OECD category: Ecology
    Impact factor: 2.4, year: 2022
    Method of publishing: Open access
    https://www.mdpi.com/1424-2818/14/12/1116
    Permanent Link: https://hdl.handle.net/11104/0337088
     
     
  4. 4.
    0533478 - ÚI 2021 GB eng J - Journal Article
    Sulovská, K. - Fišerová, E. - Chvosteková, Martina - Adámek, M.
    Appropriateness of gait analysis for biometrics: Initial study using FDA method.
    Measurement. Roč. 105 (2017), s. 1-10. ISSN 0263-2241. E-ISSN 1873-412X
    Keywords : recognition * movement * limitations * Biometrics * Functional data analysis * Gait recognition * Machine vision * Pattern recognition
    Impact factor: 2.218, year: 2017
    Permanent Link: http://hdl.handle.net/11104/0311854
     
     


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