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Effects of termites on soil cover system performance

2012· article· en· W2188439158 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

VenueMine closure · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsInro Consultants (Canada)
Fundersnot available
KeywordsEnvironmental scienceHydraulic conductivitySoil waterInfiltration (HVAC)Water contentVegetation (pathology)Soil scienceMoistureEcologyGeologyGeotechnical engineeringMaterials scienceBiology

Abstract

fetched live from OpenAlex

Little is known regarding the influence of termites on the performance of mine waste cover systems. This paper attempts to qualify the potential effects by reviewing existing termite research and relating it to cover system design and performance. It has been well documented that termites alter soil physically, chemically and hydrologically; however, the results tend to be highly variable. Four key properties relating to long-term cover performance were used to evaluate the effects of termites, namely, soil water characteristics, soil integrity, saturated hydraulic conductivity, and soil chemical characteristics/vegetation. Subterranean foraging holes and galleries created by a wide range of termite species tend to increase the rate of infiltration by a factor of one to three depending on termite activity, soil type, and rainfall intensity. However, the effect of termites on infiltration is typically only significant on soils with low hydraulic conductivity. Termites preferentially select finer textured material for their constructions and in extreme cases have been known to burrow up to 55 m in search of moist soils. Preferential selection and movement to the surface of finer textured materials could have an effect on soil water characteristics, and physical integrity. In addition, termites could potentially improve conditions for the development of sustainable vegetation by improving nutrient cycling, aeration, and soil moisture. Cover systems with shallow barrier layers are likely the most susceptible to damage by termites. The hydraulic conductivity of barrier layers could be increased; however, the effect has been found to be overshadowed by the presence of extensive vegetation. The potential usage of barrier layer material for termite constructions would be damaging to long-term performance and emphasises the need for an appropriately designed growth medium for protection. Cover systems that utilise the moisture store-and-release concept may very well benefit from termite activity. By improving conditions for the development of a sustainable vegetative system, termites could potentially improve moisture cycling and physical stability. Similar to cover systems with barrier layers, the preferential usage of finer textured material has the potential to reduce homogeneity and create unplanned pathways for water. Understanding the effects of termites on cover performance and subsequently incorporating them into the design process should increase the over performance of soil covers over the long term. Preliminary termite nest density counts on cover systems may improve modelling efforts if incorporated into the performance modelling process. Current research which examines the chemical, physical, and hydrological effects of termites on soil can be quite variable. Variability makes it difficult to quantify the significance of termite activity on mine waste cover systems. Future research should focus on quantifying termite abundance over the successional life of cover systems for each termite feeding and nesting behaviour to gain a better understanding of their densities and thus the magnitude of their effects on mine waste covers.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.277

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)0.0000.000

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 head0.004
GPT teacher head0.209
Teacher spread0.205 · 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