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The geography of large-scale land acquisitions: Analysing socio-ecological patterns of target contexts in the global South

机译:大规模征地的地理位置:分析全球南方目标环境的社会生态模式

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This paper analyses local geographical contexts targeted by transnational large-scale land acquisitions (>200 ha per deal) in order to understand how emerging patterns of socio-ecological characteristics can be related to processes of large-scale foreign investment in land. Using a sample of 139 land deals georeferenced with high spatial accuracy, we first analyse their target contexts in terms of land cover, population density, accessibility, and indicators for agricultural potential. Three distinct patterns emerge from the analysis: densely populated and easily accessible croplands (35% of land deals); remote forestlands with lower population densities (34% of land deals); and moderately populated and moderately accessible shrub- or grasslands (26% of land deals). These patterns are consistent with processes described in the relevant case study literature, and they each involve distinct types of stakeholders and associated competition over land. We then repeat the often-cited analysis that postulates a link between land investments and target countries with abundant so-called "idle" or "marginal" lands as measured by yield gap and available suitable but uncultivated land; our methods differ from the earlier approach, however, in that we examine local context (10-km radius) rather than countries as a whole. The results show that earlier findings are disputable in terms of concepts, methods, and contents. Further, we reflect on methodologies for exploring linkages between socio-ecological patterns and land investment processes. Improving and enhancing large datasets of georeferenced land deals is an important next step; at the same time, careful choice of the spatial scale of analysis is crucial for ensuring compatibility between the spatial accuracy of land deal locations and the resolution of available geospatial data layers. Finally, we argue that new approaches and methods must be developed to empirically link socio-ecological patterns in target contexts to key determinants of land investment processes. This would help to improve the validity and the reach of our findings as an input for evidence-informed policy debates
机译:本文分析了跨国大规模收购土地(每笔交易> 200公顷)所针对的当地地理环境,以了解新兴的社会生态特征模式如何与大规模外国土地投资过程相关。我们使用139个具有较高空间精度的土地交易样本,首先从土地覆盖率,人口密度,可及性和农业潜力指标方面分析了它们的目标环境。分析得出三种不同的模式:人口稠密且易于获得的耕地(占土地交易的35%);人口密度较低的偏远林地(占土地交易的34%);以及人烟稀少的灌木丛或草地(占土地交易的26%)。这些模式与相关案例研究文献中描述的过程一致,并且每种模式都涉及不同类型的利益相关者以及相关的土地竞争。然后,我们重复经常被引用的分析,该分析假定土地投资与拥有大量所谓的“闲置”或“边际”土地的目标国家之间的联系,以产量差距和可用的合适但未经耕种的土地来衡量;但是,我们的方法与以前的方法不同,因为我们研究的是当地情况(半径10公里),而不是整个国家。结果表明,较早的发现在概念,方法和内容方面存在争议。此外,我们反思了探索社会生态模式与土地投资过程之间联系的方法。下一步,重要的是改进和增强大量的地理参考土地交易数据集。同时,仔细选择分析的空间规模对于确保土地交易位置的空间准确性与可用的地理空间数据层的分辨率之间的兼容性至关重要。最后,我们认为必须开发新的方法和方法,以经验方式将目标环境中的社会生态模式与土地投资过程的关键决定因素联系起来。这将有助于提高我们调查结果的有效性和覆盖面,作为有据可依的政策辩论的投入

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