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Record W2084778934 · doi:10.1071/rj06015

Value for money? Investment in weed management in Australian rangelands

2006· article· en· W2084778934 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Rangeland Journal · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBiological Control of Invasive Species
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRangelandWeedBusinessGovernment (linguistics)Weed controlContext (archaeology)AgroforestryInvestment (military)Environmental resource managementNatural resource economicsEnvironmental planningGeographyEconomicsEcologyPolitical scienceBiology

Abstract

fetched live from OpenAlex

Increased awareness of the threat posed by non-native species to biodiversity and productivity has prompted an unprecedented commitment and investment in weed management activities throughout rangeland Australia. Since the launching of National Weeds Program in 1996 under the first phase of the Natural Heritage Trust (NHT), there has been a substantial increase in coordinated and strategic investment in weed management across the rangelands. Almost AU$25 million of Australian Government funding has been invested in projects specifically targeting Weeds of National Significance (WONS) that occur in the rangelands (14 species) and a further AU$56 million on projects conducted in the rangelands that included a weed management component. Substantial funding has also been invested by other levels of government, non-government organisations and landholders. We review this investment in relation to the level of funding, the types of weeds targeted, the range of projects undertaken and the effectiveness of these projects within Australia’s rangelands. Achievements include successful eradications, preventions, early interventions, containments, mitigation of impacts, increased awareness of weed threats and general capacity to respond to weed management issues. Our review highlights several areas that, if addressed, will result in a substantial increase in the effectiveness of weed management efforts. These include: addressing discrepancies between states/territories in terms of funding and commitment to weed management; resolving conflicts between stakeholders in relation to the cost-benefit of non-native pasture grasses; encouraging projects that consider the broader natural resource management context of weed infestations; encouraging projects that examine weed complexes or the impacts of weeds in habitats with high biodiversity values such as riparian zones; and detecting and controlling weeds in the early stages of establishment. Finally, the collection of baseline information and alignment of reporting schedules with the longer term benefits of weed management projects will allow an assessment of the effectiveness of weed management projects and more strategic allocation of resources in the future.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score0.158

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.222
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it