Impacts of climate change and host plant availability on the global distribution of <i>Brontispa longissima</i> (Coleoptera: Chrysomelidae)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The coconut hispine beetle Brontispa longissima Gestro (Coleoptera: Chrysomelidae) is one of the most serious pests of the coconut palm, Cocos nucifera L. (Arecales: Arecaceae) and other palms. The invasion of B. longissima causes major economic and ecological losses worldwide. In this study, the impacts of climate change on the risk of spread were evaluated. CLIMEX was used to project its global potential distribution based on historical climate data (1987-2016) and simulated future climate data (2071-2100). RESULTS: The distribution of B. longissima included each continent under historical and future climate conditions. However, climate suitability was predicted to decrease in most tropical and subtropical regions under a climate change scenario. Temperature was a more important determinant of the climatic suitability of the pest than relative humidity or precipitation. The availability of host plants (Arecaceae) only had a slight impact on climate suitability in some regions. CONCLUSION: The projected potential distribution of B. longissima will help to determine the impacts of climate change and will provide supportive information for the development of management strategies to reduce future economic and ecological losses. © 2019 Society of Chemical Industry.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it