Ants Associated to Loranthaceae in an Agroecosystem Based on Cocoa Trees in Nkolbisson (Yaounde: Cameroon)
Bibliographic record
Abstract
The present study was carried out in order to identify the ant fauna and her potential role as auxiliary of an agricultural system based on cocoa trees leeched by Loranthaceae, in Nkolbisson neighborhood in Yaoundé (Cameroon). The work was conducted from May to September 2015. An inventory of all woody species and the associated ant fauna was carried out beforehand, followed by an inventory of the ant fauna associated couples Theobroma cacao/Loranthaceae during periods of non-flowering, flowering and fruiting Loranthaceae. We inventoried a total of 187 plants of which 44 (23.53%) were parasitized by flowering-shrub epiphytes (Loranthaceae). Theobroma cacao (cocoa) appeared to be the most abundant species (122 plants) followed by Dacryodes edulis (16 safou trees) and Mangifera indica (15 mango trees). Three species of Loranthaceae were identified: Tapinanthus preussii (Engler) Van Tieghem and Phragmanthera capitata (Sprengel) S. Balle which both attack Theobroma cacao (cocoa tree) and Tapinanthus bangwensis (Engl.et. Krause) Denser which attacks mainly forest type trees. Five sub-families of ants (Pseudomyrmicinae, Dolychoderinae, Ponerinae, Formicinae and Myrmicinae) divided into 16 genera and 35 species were recorded throughout the agrosystem. Tetramorium acculeatum has emerged as the most dominant ant species on both T. preussii and P. capitata. Monitoring of the ant foraging activity during flowering and fruiting Loranthaceae shows they participate in the flowers fall.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".