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The overlooked spatial dimension of climate-smart agriculture

机译:气候智能农业的被忽视的空间维度

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Climate-smart agriculture (CSA) and sustainable intensification (SI) are widely claimed to be high-potential solutions to address the interlinked challenges of food security and climate change. Operationalization of these promising concepts is still lacking and potential trade-offs are often not considered in the current continental- to global-scale assessments. Here we discuss the effect of spatial variability in the context of the implementation of climate-smart practices on two central indicators, namely yield development and carbon sequestration, considering biophysical limitations of suggested benefits, socioeconomic and institutional barriers to adoption, and feedback mechanisms across scales. We substantiate our arguments by an illustrative analysis using the example of a hypothetical large-scale adoption of conservation agriculture (CA) in sub-Saharan Africa. We argue that, up to now, large-scale assessments widely neglect the spatially variable effects of climate-smart practices, leading to inflated statements about co-benefits of agricultural production and climate change mitigation potentials. There is an urgent need to account for spatial variability in assessments of climate-smart practices and target those locations where synergies in land functions can be maximized in order to meet the global targets. Therefore, we call for more attention toward spatial planning and landscape optimization approaches in the operationalization of CSA and SI to navigate potential trade-offs.
机译:广泛声称,气候智能农业(CSA)和可持续增强(SI)是高潜在的解决方案,以解决粮食安全和气候变化的相互关联挑战。仍然缺乏这些有前途的概念的运作,潜在的权衡往往不会在全球范围内考虑在全球范围内的评估中。在这里,我们讨论了在两种中枢指标的气候智能实践实施中,即屈服开发和碳封存的情况下的空间变异性的影响,考虑到建议的利益,社会经济和机构障碍采用的生物物理局限,以及跨越规模的反馈机制。我们通过说明性分析来证实我们的论点,使用亚撒哈拉以南非洲撒哈拉以南非洲的假设大规模采用的举例说明。我们认为,截至目前,大规模评估广泛忽视了气候智能实践的空间变量影响,导致对农业生产和气候变化缓解潜力的有限益处的陈述。迫切需要考虑气候智能实践评估中的空间变异,并定位在土地职能的协同作用的地方,以便满足全球目标。因此,我们要求更多地关注空间规划和景观优化方法,在CSA和Si的运行中进行导航潜在权衡。

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