Agroecological Niches as Ecosystem-Based Adaptive Option to Environmental Change in the Forest-Savanna Transition Zone of Ghana
Bibliographic record
Abstract
<p>Generally, local farmers are able to adapt to environmental change (and developments in socio-economic conditions) by engaging in a range of creative practices of on-farm management, use of improved crop varieties and adoption of new technologies. However in the past few decades, there has been growing interest in other adaptive options with the potential of addressing household food security and the multiple dimensions of sustainable agriculture. This study therefore examined the use of niche environments in the agricultural landscape as ecosystem-based adaptive strategy to environmental change among 102 farmers of 9 fringe communities of the Kogyae Strict Nature Reserve of the forest-savanna transition zone in Ghana. The study noted the increasing shift from maize cultivation to rice production using marshy areas and low-lying parts of farm fields and farms. The farmers mentioned climatic, ecological and other socio-economic reasons for this trend. They cited growing insecurity associated with maize production due to changing rainfall pattern and reduction in rainfall amounts, and changes in land cover and soil conditions. Additionally, they emphasized the relative ease with which they are able to store rice and the willingness of padi buyers to visit the villages in spite of the poor nature of the roads. The study advocated for greater institutional support to boost local rice production in order to reduce the country’s heavy dependence on imports.</p>
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 | 0.001 | 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 | 0.000 |
| 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".