塞内加尔半干旱地区小农的气候变化适应战略:社会经济因素和机构支持的作用

IF 3.3 Q2 ENVIRONMENTAL SCIENCES
Inoussa Zagre, F. Akinseye, O. N. Worou, Mama Kone, Aliou Faye
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引用次数: 0

摘要

在旱地农业系统中,开发适当的气候智能技术(CST)方案对于农业适应气候变化、向可持续发展过渡以及提高生产率和收入非常重要。本研究探讨了社会经济和制度支持对社区应对气候变化的影响,以及气候变化对塞内加尔三个选定地区(Meouane、Thiel 和 Daga Birame)的影响,这三个地区属于不同的降雨梯度。它捕捉社区对气候变化的看法,将其与长期气象数据进行比较,并确定针对具体地点的应对策略。社区从目标地点的社区名单中随机抽取。我们采用两阶段分层抽样法选择样本家庭。首先,进行目的性抽样,在每个降雨梯度内选择至少六(6)个村庄作为一个群组。同样,每个群组中家庭的选择也是基于研究地区种植的主要作物价值链,即花生、小米、黑豌豆和牲畜。共有 145 户家庭参与了这项研究。利用描述性统计和对数模型对 2022 年收获后季节的调查数据进行了分析。分析发现,与历史数据趋势相比,小农户对气候指标有全面的了解,包括年降雨量、作物季节缩短和气温上升。此外,分析结果还强调了农民如何看待季节性降雨不足(72%)、生长季节开始时间推迟(88%)、旱灾频繁(68%)和旱灾时间延长(76%)所带来的负面影响,这些影响最终导致谷物和饲料产量下降。Logit 模型还强调了社会经济和制度因素的重要性,如获得信贷的机会、推广服务、农业经验、与推广人员互动的频率以及获得政府补贴的机会。这些因素在农民决定采用 CST 的过程中起着至关重要的作用。鉴于社区环境的特殊性,这些见解对于指导政策制定者并使小农更容易降低气候风险具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Climate change adaptation strategies among smallholder farmers in Senegal’s semi-arid zone: role of socio-economic factors and institutional supports
In dryland agricultural systems, developing appropriate climate-smart technology (CST) options is important to adapt agriculture to climate change and transition toward sustainability, as well as increasing productivity and incomes. This study examines the impact of socio-economic and institutional support on community responses to climate change and the impact of changes in three selected regions of Senegal (Meouane, Thiel, and Daga Birame), which fall within different rainfall gradients. It captures community perceptions of climate change, compares them to long-term meteorological data, and identifies site-specific response strategies. Communities are randomly selected from a list of communities within the target sites. We used a two-stage stratified sampling method to select sample households. First, purposive sampling was conducted to select at least six (6) villages as a cluster within each rainfall gradient. Likewise, the selection of households in each cluster was based on the main value chains of crops grown in the study area, namely groundnut, millet, black pea, and livestock. A total of 145 households participated in this study. Data from surveys conducted during the 2022 post-harvest season were analyzed using descriptive statistics and logit models. The analysis found that smallholders have a comprehensive understanding of climate indicators, including annual rainfall, shortened crop seasons, and rising temperatures, compared to historical data trends. Additionally, the results highlight how farmers view the negative impacts of seasonal rainfall deficiencies (72%), delayed start of the growing season (88%), frequent dry spells (68%), and longer dry spells (76%), which ultimately lead to decreased grain and fodder yields. The logit model also highlights the importance of socio-economic and institutional factors such as access to credit, extension services, agricultural experience, frequency of interaction with extension workers, and access to government subsidies. These factors play a crucial role in farmers’ decision to adopt CST. Given the specificity of community contexts, these insights have important implications for guiding policymakers and making it easier to reduce climate risk among smallholder farmers.
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来源期刊
Frontiers in Climate
Frontiers in Climate Environmental Science-Environmental Science (miscellaneous)
CiteScore
4.50
自引率
0.00%
发文量
233
审稿时长
15 weeks
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