Spatial occupancy patterns of the nursery pollinator Derelomus chamaeropsis at its host plant, Chamaerops humilis (Arecaceae)
Bibliographic record
Abstract
Pollination success is influenced by factors such as density and distance from neighbouring conspecifics. However, the pure neighbourhood effects of spatial patterns of interaction on pollination success remains poorly understood. In this study, we used techniques of spatial point pattern analysis (SPPA) to investigate the relationship between the spatial distribution of a specialist pollinator, the weevil Derelomus chamaeropis, and the fruiting success of its host plant, the dwarf palm Chamaerops humilis, within a nursery pollination system. We georeferenced a dwarf palm population in a 22-hectare plot (96 individuals: 41 females/ 55 males), located at the Doñana National Park (SW Spain). We quantified the abundance and spatial pattern of adult weevil occupancy, and their correlation with the spatial distribution of dwarf palms. Additionally, we analysed the spatial pattern of fruiting success and how palm traits (number of inflorescences and flowers, and sex) influenced adult weevil abundance and fruiting success. Our findings revealed that presence/abundance of D. chamaeropis depended on plant sex, with female inflorescences showing significantly higher adult weevil abundances. We found a significant, negative density-dependent response, where higher neighbourhood density of palms led to reduced local weevil abundance. In contrast, we observed positive density and distance dependence for fruiting success at small spatial scales (2-5 m and 5-15 m), suggesting enhanced pollination success in dense patches. Our results indicate that weevil distribution is shaped by local resource availability and competitive interactions rather than broader palm arrangement. Additionally, pollination efficiency and fruit set benefit from positive distance-density dependence in dense patches.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".