Interpretation of Climate Change and Agricultural Adaptations by Local Household Farmers: a Case Study at Bin County, Northeast China
文献类型: 外文期刊
第一作者: Yu Qiang-yi
作者: Yu Qiang-yi;Wu Wen-bin;Xia Tian;Yang Peng;Tang Hua-jun;Liu Zhen-huan;Verburg, Peter H.;Lu Zhong-jun;You Liang-zhi
作者机构:
关键词: perception;adaptation;survey;climate change;agriculture
期刊名称:JOURNAL OF INTEGRATIVE AGRICULTURE ( 影响因子:2.848; 五年影响因子:2.979 )
ISSN: 2095-3119
年卷期: 2014 年 13 卷 7 期
页码:
收录情况: SCI
摘要: Although climate change impacts and agricultural adaptations have been studied extensively, how smallholder farmers perceive climate change and adapt their agricultural activities is poorly understood. Survey-based data (presents farmers' personal perceptions and adaptations to climate change) associated with external biophysical-socioeconomic data (presents real-world climate change) were used to develop a farmer-centered framework to explore climate change impacts and agricultural adaptations at a local level. A case study at Bin County (1980s-2010s), Northeast China, suggested that increased annual average temperature (0.6 degrees C per decade) and decreased annual precipitation (46 mm per decade, both from meteorological datasets) were correctly perceived by 76 and 66.9%, respectively, of farmers from the survey, and that a longer growing season was confirmed by 70% of them. These reasonably correct perceptions enabled local farmers to make appropriate adaptations to cope with climate change: Longer season alternative varieties were found for maize and rice, which led to a significant yield increase for both crops. The longer season also affected crop choice: More farmers selected maize instead of soybean, as implicated from survey results by a large increase in the maize growing area. Comparing warming-related factors, we found that precipitation and agricultural disasters were the least likely causes for farmers' agricultural decisions. As a result, crop and variety selection, rather than disaster prevention and infrastructure improvement, was the most common ways for farmers to adapt to the notable warming trend in the study region.
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