Climate change adaptation strategies among smallholder farmers in Senegal's semi-arid zone: role of socio-economic factors and institutional supports

被引:12
作者
Zagre, Inoussa [1 ,2 ]
Akinseye, Folorunso Mathew [3 ,4 ]
Worou, Omonlola Nadine [5 ]
Kone, Mama [6 ]
Faye, Aliou [4 ]
机构
[1] Univ Sci Tech & Technol Bamako USTTB, WASCAL Grad Res Program Climate Change & Agr, Bamako, Mali
[2] Rural Polytech Inst Training & Appl Res IPR IFRA K, Koulikoro, Mali
[3] Int Crop Res Inst Semiarid Trop ICRISAT, Dakar, Senegal
[4] Reg Ctr Excellence Improvement Plant Adaptat Droug, Thies, Senegal
[5] Int Livestock Res Inst ILRI, Dakar, Senegal
[6] Inst Econ Rurale IER, Bamako, Mali
来源
FRONTIERS IN CLIMATE | 2024年 / 6卷
关键词
climate-smart technology; policies; farmers perception; logit-model; climate variability; SUB-SAHARAN AFRICA; SMART AGRICULTURE; PLANTING DATES; BURKINA-FASO; MAIZE; VARIABILITY; SERVICES; PRODUCTIVITY; IMPACTS; DROUGHT;
D O I
10.3389/fclim.2024.1332196
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:17
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