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Statistical confirmation of indirect land use change in the Brazilian Amazon

机译:巴西亚马逊地区间接土地用途变化的统计确认

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Expansion of global demand for soy products and biofuel poses threats to food security and the environment. One environmental impact that has raised serious concerns is loss of Amazonian forest through indirect land use change (ILUC), whereby mechanized agriculture encroaches on existing pastures, displacing them to the frontier. This phenomenon has been hypothesized by many researchers and projected on the basis of simulation for the Amazonian forests of Brazil. It has not yet been measured statistically, owing to conceptual difficulties in linking distal land cover drivers to the point of impact. The present article overcomes this impasse with a spatial regression model capable of linking the expansion of mechanized agriculture in settled agricultural areas to pasture conversions on distant, forest frontiers. In an application for a recent period (2003–2008), the model demonstrates that ILUC is significant and of considerable magnitude. Specifically, a 10% reduction of soy in old pasture areas would have decreased deforestation by as much as 40% in heavily forested counties of the Brazilian Amazon. Evidently, the voluntary moratorium on primary forest conversions by Brazilian soy farmers has failed to stop the deforestation effects of expanding soy production. Thus, environmental policy in Brazil must pay attention to ILUC, which can complicate efforts to achieve its REDD targets.
机译:全球对大豆产品和生物燃料的需求的扩大对粮食安全和环境构成威胁。引起人们严重关注的一种环境影响是通过间接土地利用变化(ILUC)造成的亚马逊河森林流失,机械化农业侵占了现有牧场,将其转移到边境。许多研究人员都假设了这种现象,并在对巴西亚马逊河森林进行模拟的基础上进行了预测。由于在将远端土地覆盖物驱动程序与影响点联系起来方面存在概念上的困难,因此尚未进行统计测量。本文通过空间回归模型克服了这种僵局,该模型能够将定居农业区的机械化农业发展与遥远的森林边界上的牧场转换联系起来。在最近一段时间(2003-2008年)的一项应用中,该模型表明ILUC十分重要且意义重大。具体而言,在旧牧区将大豆减少10%,就可以使巴西亚马逊森林茂密的县的森林砍伐减少多达40%。显然,巴西大豆种植者自愿暂停初级林转换,未能阻止扩大大豆生产的毁林影响。因此,巴西的环境政策必须重视ILUC,这会使实现其REDD目标的努力复杂化。

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