降雨变率对加纳克图北部市水稻生产的影响

Frank Baffour-Ata, Philip Antwi-Agyei, Kojo Selasi Ashiadey, Stephen Oppong Kwakye, Louisa Boakye
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引用次数: 0

摘要

水稻是加纳重要的粮食作物和经济作物。水稻生产高度依赖降雨,因此降雨模式的任何变化都可能对其生产产生重大影响。尽管如此,关于降雨变化对加纳水稻生产的影响的证据还很缺乏。水稻农民用来解决降雨变化影响的关键做法,以及阻碍有效实施这些做法的障碍,在文献中也没有得到充分强调。本研究采用混合方法,包括对200名稻农进行入户调查和5个焦点小组讨论,在加纳Ketu North市选定的4个社区(Agorvega、Atsikpey、Avalevi和Gagodope)调查降雨变异对水稻生产的影响。该研究特别寻求(i)确定小农稻农对所研究城市降雨变化的看法;(ii)评估2010-2021年期间所研究城市的降雨变化程度;(iii)确定降雨变率与稻米产量之间的关系;(iv)确定小农稻农为应对降雨变化的影响而采用的主要适应做法;(v)确定小农稻农在实施这些适应措施时面临的主要障碍。Mann-Kendall趋势检验用于确定该市降雨变化的程度,而Sen斜率估计器用于评估趋势的斜率。采用Pearson相关系数检验降雨量与水稻产量的线性相关程度。结果表明,小农通过降雨不可预测和提前降雨以及年降雨量增加来感知降雨的变化。趋势分析表明,2010 - 2021年降水量呈增加趋势(Sen’s slope = 8.196, p = 0.150,无统计学意义)。年降雨量的不显著增加与水稻平均产量(r = 0.614, p = 0.034)和水稻年总产量(r = 0.576, p = 0.050)显著相关,分别对水稻平均产量和水稻年产量的变异贡献率约为37%和33%。调查结果还显示,小农采用了关键做法,包括种植早熟水稻品种(96%)、在水稻农场施肥(95%)和将水稻种植多样化至非农业活动(84%),以解决降雨变化的影响。研究结果还表明,机构支持有限(96%)、受教育程度较低(96%)和天气预报信息获取有限(95%)等关键障碍阻碍了研究社区有效实施适应实践。该研究建议,政府有必要提供干预措施来解决这些障碍,包括提供有补贴的改良种子、肥料,以及向该市的稻农提供专门的推广服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Effect of Rainfall Variability on Rice Production in the Ketu North Municipality, Ghana

Effect of Rainfall Variability on Rice Production in the Ketu North Municipality, Ghana

Effect of Rainfall Variability on Rice Production in the Ketu North Municipality, Ghana

Effect of Rainfall Variability on Rice Production in the Ketu North Municipality, Ghana

Effect of Rainfall Variability on Rice Production in the Ketu North Municipality, Ghana

Rice is an important crop cultivated as a food and cash crop in Ghana. Rice production is highly dependent on rainfall, and hence any changes in the pattern of rainfall could significantly impact its production. Despite this, there is a dearth of evidence on the effect of rainfall variability on rice production in Ghana. The key practices utilized by rice farmers to address the effects of rainfall variability and the barriers militating against the effective implementation of such practices have also not been adequately highlighted in the literature. This study uses a mixed-method approach, including household surveys with 200 rice farmers and five focus group discussions, to investigate the effect of rainfall variability on rice production in four selected communities (Agorvega, Atsikpey, Avalevi, and Gagodope) in the Ketu North Municipality, Ghana. The study specifically sought to (i) determine the perception of smallholder rice farmers on rainfall variability in the studied municipality; (ii) assess the extent of rainfall changes in the studied municipality for the period 2010–2021; (iii) determine the relationship between rainfall variability and rice production; (iv) identify the key adaptation practices used by the smallholder rice farmers to address the effects of rainfall variability; and (v) determine the key barriers confronting the smallholder rice farmers in implementing these adaptation practices. The Mann–Kendall trend test was used to determine the extent of rainfall changes in the municipality, while Sen's slope estimator was used to evaluate the slope of the trend. Pearson's correlation coefficient was used to test the degree of linear correlation between rainfall and rice production. Results showed that the smallholder rice farmers perceived the changes in rainfall through the unpredictable and early onset of rains, as well as increasing annual rainfall. The trend analysis indicated an increase in annual rainfall from 2010 to 2021 (Sen's slope = 8.196; p = 0.150, which is not statistically significant). The insignificant increase in annual rainfall significantly correlated with the average yield of rice (r = 0.614, p = 0.034) and total annual rice production (r = 0.576, p = 0.050), contributing to about 37% and 33% of the variability in average rice yield and annual rice production, respectively. Findings also revealed that smallholder rice farmers adopted key practices, including the planting of early maturing rice varieties (96%), application of fertilizers on rice farms (95%), and diversification of rice farming to non-farming activities (84%), to address the effects of rainfall variability. Results also indicated that key barriers such as limited institutional support (96%), lower educational status (96%), and limited access to information on weather forecasts (95%) obstructed the effective implementation of adaptation practices in the studied communities. The study recommends the need for the government to provide interventions for addressing these barriers, including the provision of subsidized improved seeds, fertilizers, and dedicated extension services to rice farmers in the municipality.

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