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Root symbionts: a tool for remediation of gold mine tailings

2012· article· en· W2621072083 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMine closure · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsTailingsEnvironmental remediationMining engineeringEnvironmental scienceGeologyMetallurgyContaminationMaterials scienceEcologyBiology

Abstract

fetched live from OpenAlex

The mining company IAMGOLD aims to reduce the environmental footprint of its Essakane project (Burkina Faso) through soil restoration projects. Mining activities generate important physical, chemical and biological impacts on the ecosystem. The main solid wastes produced (tailings and overburden), are often biologically dead substrates and contain excess contaminants such as cyanide (CN) and arsenic (As). The ecosystem restoration should be done with ecologically adapted native plant species. For this reason, studies of symbiotic interactions between these endemic taxa and associated symbionts are essential for enhanced reclamation and for promoting sustainable development of these disturbed soils. An evaluation of rhizobial and mycorrhizal inoculum potentials and of physico-chemical properties of materials with different degradation levels (tailings, waste rock, two sites reclaimed in 2009 and a natural site outside the mine) was carried out on Essakane’s mine. The results of this study showed an absence of ectomycorrhizal fungi and a very low presence of rhizobia and arbuscular mycorrhizal (AM) fungi on all materials. For AM fungi, the two disturbed sites showed lower spore density (less than 1 spore/100 g of soil) and root colonisation rate than the non-disturbed sites. This low presence of symbiotic microorganisms can be explained by high alkalinity (pH = 9) and low carbon content of these soils. Concomitantly, a greenhouse experiment was conducted to test different symbiotic inocula and substrates on Acacia senegal seedlings. The symbiotic inocula were the rhizobium strain ORS 3588 (from Senegal) and two strains of AM fungi (Glomus aggregatum, from Senegal; and a Canadian commercial product, Glomus irregulare) used alone or combined. The three substrates with different content of manure and sand (50:50; 25:75; 0:100) were tested to determine the ones that promote the best symbiotic colonisation. After 75 days, morphometric data on plants were analysed. The dry mass was significantly higher on substrates with manure. No effect of inoculation was observed except for the shoot dry mass, on the substrate without manure. In the 100% sand, shoot dry mass of plants inoculated with Glomus aggregatum was significantly higher from that of plants inoculated with Glomus irregulare, Rhizobium or without inoculum. All treatments with Glomus aggregatum are not significantly different. The non-Rhizobium inoculation effect yielded low rate of nodulation. Substrates and inocula had a significant impact on mycorrhizal colonisation. Nevertheless, we observed the presence of nodulation and mycorrhizal colonisation in control treatments. Further molecular analysis would be necessary in order to concisely identify the source of contamination of control plants. These results illustrate the need for isolating and selecting microbial inoculants adapted to soil nutrient limitation in order to develop efficient inoculum that would be used to enhance seedling growth on disturbed mining sites such as Essakane.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.014
GPT teacher head0.224
Teacher spread0.209 · 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