Statistical confirmation of indirect land use change in the Brazilian Amazon

被引:230
作者
Arima, Eugenio Y. [1 ]
Richards, Peter [2 ]
Walker, Robert [2 ]
Caldas, Marcellus M. [3 ]
机构
[1] Univ Texas Austin, Dept Geog & Environm, Austin, TX 78712 USA
[2] Michigan State Univ, Dept Geog, E Lansing, MI 48824 USA
[3] Kansas State Univ, Dept Geog, Manhattan, KS 66506 USA
来源
ENVIRONMENTAL RESEARCH LETTERS | 2011年 / 6卷 / 02期
基金
美国国家科学基金会;
关键词
soy; cattle; deforestation; Amazonia; biofuel; DEFORESTATION; BIOFUELS; FOREST;
D O I
10.1088/1748-9326/6/2/024010
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:7
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