A Look at Amazon Basin Seasonal Dynamics with the Biophysical ...

A Look at Amazon Basin Seasonal Dynamics with the Biophysical ... A Look at Amazon Basin Seasonal Dynamics with the Biophysical ...

22.08.2015 Views

DEFORESTATION TRAJECTORIES IN A FRONTIER REGION OFTHE BRAZILIAN AMAZONMoran, E. F., S. McCracken, and B. Boucek.Indiana UniversityDeforestation in the Brazilian Amazon has not been random. It has followed the roads ofnational development, which have attracted settlers and economic activities. Even alongthese roads, deforestation follows highly differentiated trajectories as a function oftopographic position, soil quality endowments, and spatial factors such as distance tolocal towns and connectivity to national and international commodity markets. This paperpresents results of research from one region of the Brazilian Amazon, in the LowerXingu, in an efforts to elucidate the spatial and temporal dynamics of deforestationtrajectories as mediated by the demographic characteristics of immigrating households,and the natural endowments of the location. Unlike much of the literature currentlyavailable, the analysis presents not only a landscape analysis of deforestation, but also aproperty-level analysis that allows examination of household determinants of land useand deforestation. The trajectories of deforestation are based on time-series analyses ofTM images overlaid on the property grid in a GIS for the 3,718 properties present in thestudy area. The demographic analysis is based on a survey of 402 farm households withinthe study area. The paper makes projections for deforestation into 2020 for the entirestudy region based upon the trajectories examined. We project that by 2020 only 24 to 32percent of the original forest cover will remain standing under the most optimistic ofscenarios.

DEFORESTATION TRAJECTORIES IN A FRONTIER REGION OFTHE BRAZILIAN AMAZONMoran, E. F., S. McCracken, and B. Boucek.Indiana UniversityDeforest<strong>at</strong>ion in <strong>the</strong> Brazilian <strong>Amazon</strong> has not been random. It has followed <strong>the</strong> roads ofn<strong>at</strong>ional development, which have <strong>at</strong>tracted settlers and economic activities. Even along<strong>the</strong>se roads, deforest<strong>at</strong>ion follows highly differenti<strong>at</strong>ed trajectories as a function oftopographic position, soil quality endowments, and sp<strong>at</strong>ial factors such as distance tolocal towns and connectivity to n<strong>at</strong>ional and intern<strong>at</strong>ional commodity markets. This paperpresents results of research from one region of <strong>the</strong> Brazilian <strong>Amazon</strong>, in <strong>the</strong> LowerXingu, in an efforts to elucid<strong>at</strong>e <strong>the</strong> sp<strong>at</strong>ial and temporal dynamics of deforest<strong>at</strong>iontrajectories as medi<strong>at</strong>ed by <strong>the</strong> demographic characteristics of immigr<strong>at</strong>ing households,and <strong>the</strong> n<strong>at</strong>ural endowments of <strong>the</strong> loc<strong>at</strong>ion. Unlike much of <strong>the</strong> liter<strong>at</strong>ure currentlyavailable, <strong>the</strong> analysis presents not only a landscape analysis of deforest<strong>at</strong>ion, but also aproperty-level analysis th<strong>at</strong> allows examin<strong>at</strong>ion of household determinants of land useand deforest<strong>at</strong>ion. The trajectories of deforest<strong>at</strong>ion are based on time-series analyses ofTM images overlaid on <strong>the</strong> property grid in a GIS for <strong>the</strong> 3,718 properties present in <strong>the</strong>study area. The demographic analysis is based on a survey of 402 farm households <strong>with</strong>in<strong>the</strong> study area. The paper makes projections for deforest<strong>at</strong>ion into 2020 for <strong>the</strong> entirestudy region based upon <strong>the</strong> trajectories examined. We project th<strong>at</strong> by 2020 only 24 to 32percent of <strong>the</strong> original forest cover will remain standing under <strong>the</strong> most optimistic ofscenarios.

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