Threats to natural resources by insect invasives
Bibliographic record
Abstract
Alien invasives can disturb the ecosystem with serious environmental, ecological and economic consequences. Insect invasives have become an environmental concern in India. The invasives also have impact on natural resources like native plants and animals. The yellow crazy ants, Anoplolepis longipes Emery from Hawaii have invaded native ecosystems of Christmas Island in the Indian Ocean. These ants disturbed and displaced Red land crab (Gecarcoidea natalis Pockock), a variety of arthropod, and some reptiles, birds and mammals. Coconut hispid beetle, Brontispa longissima Gestro var. Selebensis is hispid palm leaf beetle that attacks coconut tree and is native of Indonesia. It is an introduced pest in 20 countries and many islands in the Pacific Ocean and has been recently found in India. Their impacts on tropical and subtropical cropping systems have been severe. Woolly aphid, Adelges has severe adverse ecological impacts which will become more severe as its distribution expands on Hemlock trees which provide important habitats for many wildlife species in Canada and North America. Erythrina gall wasp, Quadrastichus erythrinae Kim (Eulophidae: Hymenoptera) invasive insect pest on Erythrina spp in Kerala and Karnataka was first reported in Taiwan. Whiteflies Aleurodicus disperses Russel native of Caribbean and Central America have spread to Hawaii, Sri Lanka and India causing damage to many horticultural crops and teak plantations. On continents, the threat of invasives to biodiversity is variable. It is better known in developed countries than developing ones. Insect invasive species have proved to be one of the main drivers behind biodiversity loss, affecting landscapes, inducing transformation of ecosystems, undermining the buffering role played by indigenous species and many more impacts that can not be predicted now.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".