AMAZONIAN DEFORESTATION AND THE STRUCTURE OF HOUSEHOLDS (PHASE III)

亚马逊森林砍伐和家庭结构（第三阶段）

• 批准号: 7504134
• 负责人: Emilio Federico Moran
• 金额: $ 50万
• 依托单位: TRUSTEES OF INDIANA UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-02-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7504134
• 关键词: Address; Affect; Aging; Agriculture; Area; Businesses; Capital; Characteristics; Child; Cities; Cohort Effect; Condition; Data; Data Set; Databases; Deforestation; Development; Economic Development; Economics; Education; Employment; Environment; Exogenous Factors; Family; Farming environment; Fertility; Generations; Glycine max; Growth; Guanosine Diphosphate; Home environment; Household; Human; Image; Income; Individual; Industry; Inequality; Investments; Life Cycle Stages; Link; Maps; Marketing; Occupations; Operative Surgical Procedures; Outcome; Ownership; Pattern; Pattern Formation; Phase; Population; Process; Production; Productivity; Property; RQ2; Rain; Rate; Recording of previous events; Research; Research Infrastructure; Role; Role playing therapy; Rural; Sales; Sampling; Scientist; Series; Services; Site; Social Impacts; Soil; Source; Soybeans; Structure; Study Section; Surveys; Sustainable Development; System; Testing; Time; Transportation; Unemployment; Update; Urbanization; Water; base; climate change; comparative; design; environmental change; experience; farmer; follow-up; forest; frontier; land cover; land use; migration; mouse Gdi2 protein; remote sensing; residence; response; rural area; rural-urban migration; social; urban area

This project addresses the reciprocal relationship between population and environment in frontier areas of the Brazilian Amazon by focusing on the linked processes of social, economic, demographic, and environmental change. In earlier studies we examined the role of the domestic cycle on land use and distinguished between period and cohort effects, and discovered that a property cycle explained more of the dynamics of change in land cover than a household cycle, particularly after the first generation. In this phase of the study we expand our focus to address the role played by the social and economic integration of urban and rural areas, and the role of one exogenous change that appears to be transforming the landscape: the growing role of capital investment in large-scale mechanized agriculture and ranching. In the previous phase, we conducted follow up surveys in previously surveyed households and properties at our first study site (Altamira). In this phase, we will carry out follow up surveys in previously surveyed households and properties in Santarem (our second study site), add urban samples for each of these two previously studied areas (Altamira and Santarem), and add a new study site in the epicenter of mechanized soybean expansion in the state of Mato Grosso, at Lucas do Rio Verde where we will sample both large scale rural and urban residents. We will acquire satellite date to update the coverage for the two previously studied areas, and a complete set of data for the past 30 years of change in the new study site as we propose a strong comparative design that will allow us to make inferences about the role of endogenous and exogenous factors in household, property, and landscape dynamics. With the additional study area, this will be the largest social survey carried out in the Amazon region, with more than 1,000 properties and more than 2,500 households, covering an area in excess of 10,000 square kilometers.

该项目探讨了边境地区人口与环境之间的相互关系， 通过关注社会、经济、人口和环境等相互关联的过程， 环境变化在早期的研究中，我们研究了国内循环对土地利用的作用， 他区分了时期效应和群体效应，发现房地产周期更多地解释了 土地覆被变化的动态比一个家庭周期更明显，特别是在第一代之后。在这个阶段 在这项研究中，我们扩大了我们的重点，以解决城市社会和经济一体化所发挥的作用， 和农村地区，以及一个似乎正在改变景观的外生变化的作用： 资本投资在大规模机械化农业和牧场中的作用日益增强。在前一阶段， 我们在第一个研究地点对先前调查的住户和物业进行了跟进调查 （阿尔塔米拉）。在这一阶段，我们将对先前接受调查的住户进行跟踪调查， 属性在桑塔雷姆（我们的第二个研究地点），添加城市样本，为这两个先前研究 地区（阿尔塔米拉和桑塔雷姆），并在机械化大豆扩张的震中增加一个新的研究地点 在马托格罗索州的卢卡斯杜里奥韦尔德，我们将对大规模的农村和城市进行采样 居民我们将获取卫星数据，以更新先前研究的两个地区的覆盖范围， 一套完整的数据，为我们在过去30年的变化，在新的研究地点，提出了一个强有力的 比较设计，使我们能够推断内源性和外源性的作用， 家庭、财产和景观动态的因素。加上额外的研究区域，这将是 在亚马逊地区进行的最大的社会调查，有1,000多个属性和2500多个 户，面积超过一万平方公里。