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David Storch (* 18. června 1970 Praha) je český ekolog a biolog zabývající se zejména makroekologií, ekologickou teorií a problematikou biodiverzity, dále evoluční ekologií a biogeografií.
The analysis highlights Život a činnost, Odkazy and Overview as prominent areas in the source structure around David Storch.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around David Storch shows recurring relationship patterns in the source. For example, David Storch → Academia, Antropocén, Argo, Begallová, Biologie, Biotopy, Dokořán, Hynek Burda, Jak, Jan Zrzavý, Jiří Sádlo, Labyrintem, Mihulka, Pokorný, Portál, Stanislav Mihulka, Vesmír Another extracted example is David Storch → Seznam, Souborném. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
praha ekologie 18 června evoluční 1970 uk český přf oboru roku david storch datové položky biologie zoologie vesmír univerzity teoretická
TTTA extracted 23 structured relationships around David Storch. Examples in this analysis include David Storch → Alma mater → Přírodovědecká fakulta Univerzity Karlovy and David Storch → Narození → 18. června 1970 (56 let) Praha. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| David Storch | Alma mater | Přírodovědecká fakulta Univerzity Karlovy | 1.00 | infobox |
| David Storch | Narození | 18. června 1970 (56 let) Praha | 1.00 | infobox |
| David Storch | Obory | makroekologie, biologická diverzita, evoluční ekologie a biogeografie | 1.00 | infobox |
| David Storch | Pracoviště | Univerzita Karlova Přírodovědecká fakulta Univerzity Karlovy Centrum pro teoretická studia | 1.00 | infobox |
| David Storch | related to Externí odkazy | Seznam | 0.60 | section |
| David Storch | related to Externí odkazy | Souborném | 0.60 | section |
| David Storch | related to Publikační činnost (výběr) | Jiří Sádlo | 0.60 | section |
| David Storch | related to Publikační činnost (výběr) | Biologie | 0.60 | section |
| David Storch | related to Publikační činnost (výběr) | Biotopy | 0.60 | section |
| David Storch | related to Publikační činnost (výběr) | Vesmír | 0.60 | section |
| David Storch | related to Publikační činnost (výběr) | Mihulka | 0.60 | section |
| David Storch | related to Publikační činnost (výběr) | Portál | 0.60 | section |
The concept neighborhoods around David Storch bring nearby vocabulary together. In this analysis, examples include Storch, Evoluční and Biodiverzity. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For David Storch, one of the stronger structural bridges in this analysis connects David Storch with Život a činnost. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around David Storch to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Život a činnost, Odkazy & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — David Storch · CS edition · Analysis: TopicsToTalkAbout