Collaborative Research: The After Effects of Deforestation, Analyzing Changes in Welfares and the Environment on an Old Amazonian Frontier

热带森林砍伐是一种引人注目的土地覆盖转变形式，导致土地利用模式在空间和时间上的复杂变化。虽然关于森林转换的研究成果很多，但相对较少注意对边境居民社会经济福利的长期影响以及收入和财富对土地使用的相互影响。此外，人们对森林砍伐后的轨迹与就业、移民和不平等之间的关系了解有限。这些缺陷与难以获得跟踪和评价这些过程所需的数据直接相关。然而，随着热带森林地区“旧边界”的扩展，了解森林砍伐后的动态经济和景观过程至关重要。本项目将通过以下方式解决这些问题：在农户空间面板中增加第四轮，利用新的二级数据将数据库扩展到多个尺度，改进遥感数据的分类方法，并对巴西Rondônia森林严重砍伐州的土地利用决策及其后果进行建模。该项目的一个主要成果将是一个公共数据集，不同学科的研究人员可以使用该数据集来分析与森林边界动态和空间过程相关的问题。具体而言，在欧鲁普雷图奥多埃斯特核心研究区域收集的空间参考家庭面板调查数据（来自四个时期的同一家庭和农场）将与覆盖扩大研究区域的几个数据来源相结合：地籍图与卫星图像相匹配，以量化土地覆盖变化；生物物理因素、市场和公共基础设施的空间数据；以及来自官方来源的多种尺度的二手数据，如当前的农业普查。第二个成果将是通过传统的地面参考和家庭报告的土地使用历史来改进土地覆盖分类方法。最后，本研究将通过对互补的二次数据的综合分析，扩大详细入户调查和相关遥感数据的时空范围，得出关于土地利用与社会经济福利共同演变的更一般的结论。

PROJECT ABSTRACTLiving with Deforestation Analyzing Transformations in Welfare and Land Use on an Old Amazonian Frontier Tropical deforestation is a striking form of land cover transformation resulting in a complex mosaic of shifting land-use patterns across space and time. While research on forest conversion has been prolific, there has been relatively less attention given to long term impacts on the socio-economic welfare of frontier inhabitants along with the reciprocal effects of income and wealth on land use. Moreover, there is limited understanding of how post-deforestation trajectories are related to employment, migration, and inequality. These lacunae are directly related to the difficulty of obtaining the data required to track and evaluate these processes. Nevertheless, as the "old frontier" expands in tropical forest zones, it is critical to understand the dynamic economic and landscape processes that follow deforestation. This project will address these issues by adding a fourth round to a spatial panel of farm households, expanding the database to multiple scales with new secondary data, improving classification methods for remote sensing data, and modeling land use decisions and their consequences in the heavily deforested state of Rondônia, Brazil. A principle outcome of this project will be a public dataset that can be used by researchers from various disciplines to analyze questions related to the dynamic and spatial processes on forest frontiers. Specifically, spatially-referenced household panel survey data collected (from the same households and farm lots in four time periods) in the core study area of Ouro Preto do Oeste will be combined with several sources of data that cover an expanded study region: cadastral maps matched with satellite imagery to quantify land cover change; spatial data on biophysical factors, markets, and public infrastructure; and secondary data at multiple scales from official sources such as the current agricultural census. A second outcome will be improved land cover classification methods developed through traditional ground referencing and household-reported land use histories. Lastly, this research will draw more general conclusions regarding the co-evolution of land use and socio-economic welfare through combined analysis of complementary secondary data that expands the temporal and spatial range of the detailed household survey and linked remote sensing data.