Successful Approaches for Battling Invasive Species in Developed Countries
Bibliographic record
Abstract
Biological invasions increasingly threaten natural resouces and reduce biological diversity worldwide.To curtail biological invasions,developed countries have adopted multi-tire approaches that systematically address the process of invasion,encompassing introduction,establishment,spread and naturalization of invasive species.This paper addresses the primary approaches to successful adaptive management programs for invasive species,including prevention,early detection and rapid response,eradication,containment,suppression and control,with examples from United States,Canada,New Zealand,Great Britian and Australia.Prevention of entry of invasive species is facilitated largely through legislation,targeting risk assessment of pathways and ports of entry.Development of new legislation has significanly accelerated in the past two decades,increasingly focusing on individual or small groups of species.Successful early detection and rapid response to invasive species depends in large part on public education and outreach,and research and development of detection technologies.Rapid response to new introductions,particularly while invasive species are at a low population level,is key to preventing their establishment,spread and naturalization.Early detection and rapid response to the introduction of the Citrus Longhorned Beetle(CLB)(Anoplophora chinesis) in the United States provides an example of one approach and resulting outcome of an eradication program.However,comparison and contrast among different CLB eradication programs are vitally important to formulating a template for other developed and developing countries.Prospects for successful eradication of a given invasive species also depends on a limited number of biological characteristics,including its reproductive capacity,host range,rate of spread,effective detection at low population density and susceptibilty to effective control methods.Furthermore,measures and criteria of successful eradication vary widely within and among species,infestations,and political and legislative constraints(e.g.Asian Longhorned Beetle,Anoplophora glabripennis).If an invasive species fails to be intercepted and becomes established over a wide area,thereby rendering eradication unfeasible,emphasis shifts to containment,suppression and control strategies.While these strategies utilize many of the same approaches as eradication(e.g.survey and detection,and mechanical,chemical and biological control),an integrated management program is the most effective.Management of Tephritid fruit flies(e.g.Ceratitis capitata,Bactrocera cucurbitae,Bactrocera dorsalis,Bactrocera latifrons) in Hawaii represents a unique example of integrated management program.The approaches for managing invasive species presented in this paper collectively serve as models for adaptive management programs that can be modified to meet the needs in developing countries.
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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 | 0.001 |
| 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 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".