Factors influencing agroforestry practices adoption in the central river Region of The Gambia

Kennedy Muthee , Priscilla Wainaina , Lalisa Duguma , Christine Majale , Monica Mucheru-Muna , Jane Mutune , Divine Foundjem-Tita , Alagie Bah , Peter Minang
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Abstract

The world's multiple landscape crises have placed agroforestry among the cost-effective nature-based solutions with numerous ecological, social, and economic benefits. This study examined the farmer and land factors influencing the adoption of agroforestry practices in the Gambia's Central River Region. Stratified random sampling was used to collect primary data from 377 households using semi-structured questionnaires and farm-level walkabout observations. The study used purposive and snowball sampling methods to engage different key informants. The results indicated that the agroforestry adoption rate in the study area was 52.3 %. Significant differences between the means of agroforestry adopters and non-adopters were observed. Adopters held more land size 0.66ha vs. 0.55ha, owned more livelihood assets (private land and livestock), and had significantly more fenced lands. The binary regression model established that livelihood assets, land size, land fencing, and gender were positively associated with agroforestry adoption in the study area. Conclusively, land-related factors emerged as more predictable determinants of agroforestry adoption than farmer-related factors. Notably, age and education, though important socioeconomic attributes, remained relatively the same between adopters and non-adopters, and were not statistically significant. The study recommends cross-cutting farmer and land-related policies, as well as other interventions to boost agroforestry adoption. It further suggests a follow-up study to quantify the actual cost and benefits associated with agroforestry adoption in the area.

影响冈比亚中部河区采用农林业做法的因素
全球多重景观危机使农林业成为具有成本效益的自然解决方案之一,并带来众多生态、社会和经济效益。本研究探讨了影响冈比亚中部河流地区采用农林业做法的农民和土地因素。研究采用分层随机抽样的方法,通过半结构化问卷和农场走访观察从 377 个家庭收集原始数据。研究采用了有目的的和滚雪球式的抽样方法,让不同的关键信息提供者参与进来。结果表明,研究地区的农林业采用率为 52.3%。农林业采用者和未采用者的平均值之间存在显著差异。采用者拥有更多的土地(0.66 公顷对 0.55 公顷),拥有更多的生计资产(私人土地和牲畜),拥有更多的围栏土地。二元回归模型表明,在研究地区,生计资产、土地面积、围栏和性别与农林业采用呈正相关。与农民相关的因素相比,与土地相关的因素更容易预测农林业应用的决定因素。值得注意的是,年龄和教育虽然是重要的社会经济属性,但在采用者和未采用者之间仍然相对相同,且在统计上并不显著。该研究建议采取贯穿各领域的农民和土地相关政策以及其他干预措施,以促进农林业的采用。研究还建议开展后续研究,量化该地区采用农林业的实际成本和收益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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