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  1. Splnění požadavků zadání (Fulfillment of Assignment Requirements): A
    The work clearly addresses the stated objectives: a comprehensive literature review, a bibliometric analysis of global land-degradation research (1974–2024), and a focused evaluation of forest-specific degradation studies. All three parts are present and logically structured ​.
  2. Aktuálnost a odborná úroveň práce (Relevance & Scholarly Level): A
    The topic is timely—land and forest degradation are urgent global challenges—and the author draws on cutting-edge tools (Biblioshiny, VOSviewer) to map research trends. The discussion situates findings within current environmental priorities ​.
  3. Využití znalostí získaných studiem (Use of Knowledge from Programme): A
    The candidate demonstrates solid command of soil-science and bibliometric methods, applying advanced bibliometric metrics (centrality, clustering algorithms) appropriately.
  4. Využití odborné literatury (Use of Professional Literature): A
    Over 9 400 Scopus records and nearly 20 000 unique keywords underpin the study. The literature review is thorough, covering classical land-degradation works​.
  5. Vhodnost metodiky řešení (Appropriateness of Methodology): A
    Methodology is rigorous: clear search strategy, data preprocessing, refinement for forest topics, and step-by-step bibliometric workflows. Visualization techniques and network metrics are well justified ​.
  6. Využití metod zpracování výsledků (Use of Data-Processing Methods): A
    The author effectively employs clustering (Walk-trap), network coupling, and citation analyses. Results are presented with rich figures and tables.

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

  1. Splnění požadavků zadání (Fulfillment of Assignment Requirements): A
    The work clearly addresses the stated objectives: a comprehensive literature review, a bibliometric analysis of global land-degradation research (1974–2024), and a focused evaluation of forest-specific degradation studies. All three parts are present and logically structured ​.
  2. Aktuálnost a odborná úroveň práce (Relevance & Scholarly Level): A
    The topic is timely—land and forest degradation are urgent global challenges—and the author draws on cutting-edge tools (Biblioshiny, VOSviewer) to map research trends. The discussion situates findings within current environmental priorities ​.
  3. Využití znalostí získaných studiem (Use of Knowledge from Programme): A
    The candidate demonstrates solid command of soil-science and bibliometric methods, applying advanced bibliometric metrics (centrality, clustering algorithms) appropriately.
  4. Využití odborné literatury (Use of Professional Literature): A
    Over 9 400 Scopus records and nearly 20 000 unique keywords underpin the study. The literature review is thorough, covering classical land-degradation works​.
  5. Vhodnost metodiky řešení (Appropriateness of Methodology): A
    Methodology is rigorous: clear search strategy, data preprocessing, refinement for forest topics, and step-by-step bibliometric workflows. Visualization techniques and network metrics are well justified ​.
  6. Využití metod zpracování výsledků (Use of Data-Processing Methods): A
    The author effectively employs clustering (Walk-trap), network coupling, and citation analyses. Results are presented with rich figures and tables.