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On-Farm Evaluation of the Potential Use of Greenhouse Gas Mitigation Techniques for Rice Cultivation: A Case Study in Thailand

机译:温室气体减排技术在水稻种植中潜在应用的农场评估:以泰国为例

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Environmental and socio-economic evaluations that imply techniques for mitigating greenhouse gas (GHG) emissions from rice cultivation are a challenging and controversial issue. This study was designed to investigate the potential use of mitigation techniques for rice cultivation. Mid-season drainage (MD), using ammonium sulfate instead of urea (AS), and site-specific nutrient management (SSNM) were chosen as mitigation techniques. Data were collected using field surveys and structured questionnaires at the same 156 farms, covering four crop years. The GHG emissions were evaluated based on the concept of the life cycle assessment of the GHG emissions of products. The farmers’ assessments of mitigation techniques, with multiple criteria evaluation, were obtained by face-to-face interviews. Opinions on all mitigation techniques were requested two times covering four years with the same 156 farm owners. The multinomial logistic regression model was used to examine the factors influencing the farmers’ decisions. The results show that SSNM was evaluated as the highest abatement potential (363.52 kgCO 2 eq ha ?1 ), the negative value of abatement cost (?2565 THB ha ?1 ), and the negative value of the average abatement cost (?14 THB kgCO 2 eq ?1 ). Among the different techniques, SSNM was perceived as the most suitable one, followed by MD and AS. Highly significant factors influencing decision making consisted of planted area, land size, farmer liability, farmer perception of yield, and GHG emissions. Subsidies or cost-sharing measures to convince farmers to adopt new techniques can enhance their practices, and more support for the development of water systems can increase their availability.
机译:环境和社会经济评估暗示着减轻稻米种植温室气体(GHG)排放的技术是一个充满挑战和争议的问题。本研究旨在调查缓解技术在水稻种植中的潜在用途。选择使用硫酸铵代替尿素(AS)的季中排水(MD)和特定地点的养分管理(SSNM)作为缓解技术。使用实地调查和结构化问卷收集了相同的156个农场的数据,涵盖了四个作物年。根据产品生命周期评估的概念,对温室气体排放进行了评估。通过面对面访谈获得了农民对缓解技术的评估以及多种标准的评估。对于相同的156个农场主,要求对所有缓解技术发表两次意见,历时四年。多项式逻辑回归模型用于检验影响农民决策的因素。结果表明,SSNM被评估为最高减排潜力(363.52 kgCO 2当量公顷?1),减排成本的负值(?2565 THB ha?1)和平均减排成本的负值(?14 THB) kgCO 2当量≤1)。在不同的技术中,SSNM被认为是最合适的技术,其次是MD和AS。影响决策的重要因素包括种植面积,土地面积,农民责任,农民对产量的认识以及温室气体排放。通过说服农民采用新技术的补贴或成本分摊措施,可以改善他们的做法,对水系统发展的更多支持可以增加他们的可得性。

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