Bedrock Geology, Physical and Physico-Chemical Properties of Teak Plantation Soil in Southwest Nigeria
Bibliographic record
Abstract
The high rate of demand for this exotic timber product all over the world might have led to the over exploitation which has equally led to the current decline in the soil nutrient. This study therefore examined the differences in the soil physico-chemical properties of Teak plantations under basement and sedimentary rocks in south western Nigeria. 72 soil samples were collected; 36 from each of the two plantations underlying by Sedimentary and Basement complex of Ilaro and Olokemeji respectively. 12 Soil samples each from 3 quadrants each of 30m2 were selected from each age i.e. 1970, 1972 and 1975 within a site respectively across the two sites. Bulked soil samples were collected each from horizon A and B of topsoil and subsoil with depth of 0-15cm and 15-30cm respectively. Also, 18 soil samples 9 from each site were collected from 3 profiles section from their A, B and C-Horizons. All these samples were analysed for their physico-chemical parameters such as Electrical Conductivity (EC), pH, Total Dissoved Solid (TDS) and Temperature. Results of the physico-chemical parameters revealed higher values of EC and TDS in the top soil of the plantation underlain by basement complex rock while that underlain by sedimentary rock showed higher values in the subsoil. This is attributed to higher porosity in the sedimentary rock which encourage leaching of nutrients and minerals to the subsoil while fine grains soil of the residual soil of the basement rocks accommodate nutriens and mineral entrapments on the top soil. On the other hand pH in soil of both bedrocks geology revealed low values. The low values in Olokemeji plantations could be attributed to the weathering of granitic rocks which are acidic while that of Ilaro could be attributed to acid rain from nearby industial and automobile exhaust from Agbara and ewekoro.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".