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Towards an assessment of adaptive capacity of the European agricultural sector to droughts

机译:评估欧洲农业部门对干旱的适应能力

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Analyses of climate change vulnerability and risk have been steadily evolving, and have moved from an impact-focused towards a more risk-based approach. In the risk and vulnerability communities, the relevance of resilience and adaptive capacity (AC) are increasingly emphasized. Another emerging analytical framework is the idea of assessing AC and resilience in terms of the Sustainable Livelihoods Approach (SLA), which studies welfare as a function of multiple forms of assets (‘capital’) that systems and agents may utilize to both recover as well as increase resilience in the future. We assess a new method for assessing AC at a sectoral level and operationalize AC measurement based on an SLA to assess the ability of the European agricultural sector to adapt to extreme droughts. We create a set of indicators which highlight areas of high or low AC, forecast to estimated times the world will reach 2° of warming using Shared Socioeconomic Pathway (SSP) and Representative Concentration Pathway (RCP) scenarios to drive AC indicator projections based on a fixed effects model. We find that based on this approach, Central and Northern Europe rank higher in overall capacity than countries on the periphery, and projections to 2 °C do not change results to a large degree. We critically reflect on the use of this approach and suggest possible use cases for results in larger studies of sectoral vulnerability, and highlight key data gaps and the need for a stronger empirical basis for selection of indicators, which constrain our ability to assess AC.
机译:对气候变化脆弱性和风险的分析一直在稳步发展,并已从以影响为重点的方法转变为以风险为基础的方法。在风险和脆弱性社区中,弹性和适应能力(AC)的相关性日益受到重视。另一个新兴的分析框架是根据可持续生计方法(SLA)评估AC和适应力的想法,该方法研究福利与多种形式的资产(“资本”)的函数,系统和代理人也可以利用资产来恢复增强未来的弹性。我们评估了一种在部门级别评估AC的新方法,并根据SLA实施了AC测量,以评估欧洲农业部门适应极端干旱的能力。我们创建了一组指标来突出交流高或低的区域,使用共享的社会经济途径(SSP)和代表集中途径(RCP)情景来预测AC的预测,从而预测世界变暖的时间估计为2°。固定效果模型。我们发现,基于这种方法,中欧和北欧的整体产能要比周边国家高,预测到2°C不会在很大程度上改变结果。我们会批判性地考虑这种方法的使用,并建议在更大的部门脆弱性研究中使用可能的结果案例,并强调关键数据差距以及选择指标需要更强的经验基础,这限制了我们评估AC的能力。

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