Impact of Bush Encroachment on Livestock Production and Pastoral Livelihoods in Fentale District, Eastern Ethiopia
Bibliographic record
Abstract
The threat of bush encroachment on community livelihoods and economy in range lands of Fentale district in Ethiopia is not well known. So, this study was conducted to evaluate the impact of bush encroachment and its stress on livestock daily milk yield and pastoral livestock production of the district. The data of household livestock holding and its production, household income sources, expenditure, etc. was obtained from district pastoral and agro-pastoral office and the respective pastoral communities. The data was collected through semi-structured questionnaires, focus group discussion and key informant interviews. The data was analyzed through descriptive statistics and regression analysis using Minitab Software. The result revealed that there was an alarming rate increasing of bush encroachment coverage and positive association (P < 0.05) with camel and goat population than cattle and sheep population (P > 0.05) in the study district. Results of current study also revealed that a positive correlation between increasing coverage of bush encroachment and mean daily milk yield of livestock (i.e. cattle, goat and camel) in the study areas. Pastoral producers also perceived the impact of bush encroachment on livestock population trend and milk production in all study sites and applied different adaptation strategies (like feed supplementation and mobility). It is recommended that appropriate intervention options (like bush thinning) of government and other stakeholders is needed to alleviate the current economic bush related challenges of pastoral producers and save the loosing natural resources, even by amendment of pastoral production related policies and its implementation
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".