Effect of site management on leaf area, early biomass development, and stand growth efficiency of a <i>Eucalyptus grandis</i> plantation in South Africa
Bibliographic record
Abstract
The effects of intensive site management operations on leaf area index (LAI), aboveground woody biomass (WB) development, and stand growth efficiency were studied in a South African Eucalyptus grandis (Hill ex Maiden) stand from establishment to 3.5 years of age. Site management treatments included slash removal, slash retention, fertilization, slash burning, and slash disturbance through mechanized harvesting operations. Stand LAI development responded strongly and significantly to the site management treatments imposed at establishment. Responses were driven by nutrient supply but were apparently limited by a severe drought after establishment. At 1.3 years, LAI in the slash removal treatment reached 2.1, compared to 4.5 following fertilization or slash burning. Treatments also significantly affected the development of aboveground WB, which ranged from 53.6 (slash removal) to 64.9 (fertilization) and 65.8 Mg·ha 1 (slash burning) at 3.5 years. Biomass allocation to roots and stand growth efficiency (i.e., WB increment per unit of LAI) did not differ significantly between treatments. We conclude that the fast-growing treatments produced more WB because of more rapid development of maximum LAI. The possible implications of this response mechanism for management operations that aim to improve growth through improved nutrient supply are discussed, with reference to unthinned, short-rotation crops.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".