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CITES (shorter acronym for the Convention on International Trade in Endangered Species of Wild Fauna and Flora, also known as the Washington Convention) is a multilateral treaty to protect endangered plants and animals from the threats of international trade. It was drafted as a result of a resolution adopted in 1963 at a meeting of members of the…
The analysis highlights Trade and Science as prominent areas in the source structure around CITES.
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 CITES shows recurring relationship patterns in the source. For example, CITES → All, As, By, Convention, Countries, Danish, December, Denmark, East Timor, European Union, Federated States, Greenland, Haiti, Holy See, It, July, June, Kingdom, Kiribati, March Another extracted example is CITES → Animals Committee, CITES Convention, CoP, Dublin, Geneva, Ireland, March, May, Mexico, Parties, Plants Committee, Plants Committees, Secretariat, Standing, Standing Committee, Switzerland, The, The Animals, The CITES Committees, The Committee. 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.
trade species convention parties appendix taxa specimens may listed party management export ii states permits international one include secretariat also
TTTA extracted 217 structured relationships around CITES. Examples in this analysis include CITES → Condition → 10 ratifications and CITES → Depositary → Government of the Swiss Confederation. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| CITES | Condition | 10 ratifications | 1.00 | infobox |
| CITES | Depositary | Government of the Swiss Confederation | 1.00 | infobox |
| CITES | Effective | 1 July 1975 | 1.00 | infobox |
| CITES | Language | English | 1.00 | infobox |
| CITES | Language | French | 1.00 | infobox |
| CITES | Language | Spanish | 1.00 | infobox |
| CITES | Location | Geneva, Switzerland | 1.00 | infobox |
| CITES | Parties | 185 | 1.00 | infobox |
| CITES | Signed | 3 March 1973 (1973-03-03) | 1.00 | infobox |
| furs in Western countries | instance of | CITES addressed depletion resulting from demand for luxury goods | 0.80 | text |
| but with the rising wealth of Asia | instance of | CITES addressed depletion resulting from demand for luxury goods | 0.80 | text |
| particularly in China | instance of | CITES addressed depletion resulting from demand for luxury goods | 0.80 | text |
The concept neighborhoods around CITES bring nearby vocabulary together. In this analysis, examples include Trade, Species and Specimens. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For CITES, one of the stronger structural bridges in this analysis connects CITES with Overview. 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 CITES to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Trade & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — CITES · EN edition · Analysis: TopicsToTalkAbout