Adoption of climate-smart agriculture practices in the Gorganrood basin in Golestan province

IF 2.7 4区 环境科学与生态学 Q2 ECOLOGY
Hossein Taimour, Homayoun Farhadian, Mahsa Saadvandi
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Abstract

Climate-smart agriculture (CSA) is a managerial approach that aims to optimize the interactions of agriculture and climate. Since the Gorganrood basin in Golestan province is one of the regions influenced by climate change in Iran, this study was conducted to classify how CSA practices have been adopted across this basin. The statistical population was composed of all farmers living in this basin (N = 76140), out of whom 384 farmers were sampled by stratified random sampling technique with proportional allocation using Krejcie and Morgan's table. The research was conducted by the survey method, and the research instrument was a researcher-design questionnaire whose validity was confirmed by a panel of experts. Cronbach's alpha also confirmed the reliability (α = 0.79). Data were analyzed by descriptive techniques and analysis of variance in the SPSS24 software package. The application of CSA practices was classified in the study site using the ISDM index in the ArcGIS 10.3 software package. The results showed that CSA application was generally higher than the average (1.63/3.00). The sub-basins were also found to differ in the use of CSA practices significantly so that the more distant a sub-basin was from the center of the province, the lower the extent of CSA application would be. Furthermore, some studied practices were costly and needed extension training, so they seemed to be largely overlooked in some sub-basins. Accordingly, different CSA actors are recommended to consider this approach a systematic and long-term solution whose implementation requires all-inclusive attention to farmers in different regions.

戈勒斯坦省戈尔甘罗德河流域采用气候智能型农业做法
气候智慧型农业(CSA)是一种旨在优化农业与气候相互作用的管理方法。由于Golestan省的Gorganrood盆地是伊朗受气候变化影响的地区之一,因此本研究对该盆地采用CSA实践的情况进行了分类。统计人口为居住在该流域的所有农民(N = 76140),采用分层随机抽样技术,采用Krejcie和Morgan表进行比例分配,抽取384名农民。本研究采用问卷调查法进行,研究工具为研究者自行设计的问卷,问卷的效度经专家组确认。Cronbach's α也证实了信度(α = 0.79)。数据分析采用描述性技术和方差分析SPSS24软件包。采用ArcGIS 10.3软件包中的ISDM索引对研究点的CSA实践应用进行分类。结果表明,CSA的应用普遍高于平均值(1.63/3.00)。各子盆地在CSA实践的应用上也存在显著差异,离省中心越远的子盆地,CSA的应用程度越低。此外,一些研究的做法成本高,需要推广培训,因此在一些子流域似乎基本上被忽视了。因此,建议不同的CSA参与者将这种方法视为一种系统和长期的解决方案,其实施需要对不同地区的农民进行全面的关注。
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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来源期刊
Ecohydrology & Hydrobiology
Ecohydrology & Hydrobiology Agricultural and Biological Sciences-Aquatic Science
CiteScore
5.40
自引率
3.80%
发文量
51
期刊介绍: Ecohydrology & Hydrobiology is an international journal that aims to advance ecohydrology as the study of the interplay between ecological and hydrological processes from molecular to river basin scales, and to promote its implementation as an integrative management tool to harmonize societal needs with biosphere potential.
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