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Record W4405648686 · doi:10.31734/agronomy2024.28.051

FEATURES OF BIODIVERSITY CONSERVATION UNDER THE SPREAD OF INVASIVE SPECIES OF WEEDS: ANALYSIS AND PROSPECTS

2024· article· en· W4405648686 on OpenAlexaboutno aff
Hanna Korpita, Іван Шувар, І. Дудар, D. Palii, O. Hadzalo

Bibliographic record

VenueBulletin of Lviv National Environmental University Agronomy · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiodiversityInvasive speciesBiodiversity conservationGeographyAgroforestryEcologyEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

Invasive plants can cause significant damage to agriculture, forestry and water management, as well as to protected areas, threatening human and animal health. The disappearance of native plant species leads to a loss of biodiversity and can provoke ecological imbalances. Ukraine is characterized by a high level of spread of invasive plant species, which reinforces the need to take measures for their control and management. It has been noted that the disappearance of native plant species leads to the disappearance of native species of animals, fungi, and many microorganisms that have been building links with the native flora for thousands or millions of years, are directly dependent on it, and are organically interconnected. That is why the invasion of an alien species does not increase the number and activity of local biodiversity, but, on the contrary, leads to the death of a significant number of flora and fauna species dominated by only one or a few alien species. In Ukraine, the impact of non-native plants on the environment is increasing every year. According to the level of adventitization of flora, Ukraine occupies a prominent place among other floras of the world. The spontaneous fraction of adventitious flora of Ukraine includes 830 species of vascular plants (including 18 % – archaeophytes and 82 % – xenophytes), which is about 14 % of the total number of flora species of the country, which has more than 6,000 species of vascular plants (including all aboriginal and adventive species), as well as the main cultivated and wild plants. As a result of the study of the effect of herbicides on the Canadian goldenrod (Solidago canadensis L.), it was established that all three investigated herbicides – Lintur 70 WG, Dianat and Roundup Max – effectively reduce the population of this plant. However, it was found that the effectiveness of herbicides increases over time, which may be due to longer exposure of the substance to plants. Herbicides Lintur 70 WG and Roundup Max showed higher efficiency compared to Dianat. In addition, it was established that all three investigated herbicides have a significant effect on the dry mass of Solidago canadensis L. plants on the 60th day after their application, confirming the high efficiency of their use. Therefore, the study results emphasize the importance of considering the timing of herbicide treatments to ensure long-term protection of cultivated plants from weeds.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.004
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.155
Teacher spread0.144 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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