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Reciprocal Relations between Population and Environment

人口与环境的相互关系

基本信息

批准号：
7900948
负责人：
William G. Axinn
金额：
$ 51.02万
依托单位：
UNIVERSITY OF MICHIGAN AT ANN ARBOR
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-07-27 至 2012-06-30
项目状态：
已结题

项目摘要

This is a proposal to continue a unique micro·level study of the reciprocal relationships between population processes (marriage, fertility, and migration) and the environment (land usefcover, vegetation abundance and species diversity, and consumption of natural resources) in the foothills of the Nepalese Himalayas. To date analyses of these data have revealed a series of crucial insights into the overall reciprocal relationships between population and the environment. First, we find key dimensions of environmental variation do shape subsequent marital, childbearing, and migration behavior, but these population parameters also influence change and variation in land use, vegetation abundance, species diversity, and consumption of natural resources. Second, at the micro· level we find that local community context conditions the population· environment relationship, with strong effects on marriage, childbearing and migration on the one hand and land use, vegetation and consumption behavior on the other hand. Third, our investigation of the micro· level processes linked to these associations points toward variations in consumption behavior and perceptions of environmental change as key mechanisms linking population parameters and environmental change. Although these findings shape the theoretical model guiding our research, updated longitudinal data just available now provides a significant opportunity to advance research in this field.

这是一项继续对尼泊尔喜马拉雅山麓的人口过程(婚姻、生育和移民)和环境(土地利用、植被丰富度和物种多样性以及自然资源消耗)之间的相互关系进行独特的微观·水平研究的建议。迄今为止，对这些数据的分析揭示了对人口和环境之间总体互惠关系的一系列重要见解。首先，我们发现环境变化的关键维度确实影响着随后的婚姻、生育和迁徙行为，但这些人口参数也影响着土地利用、植被丰富度、物种多样性和自然资源消耗的变化和变化。第二，在微观层面上，我们发现当地社区背景制约着人口与环境的关系，一方面对婚姻、生育和迁移有很大的影响，另一方面对土地利用、植被和消费行为有很大的影响。第三，我们对与这些关联相关的微观·水平过程的调查表明，消费行为的差异和对环境变化的感知是连接人口参数和环境变化的关键机制。尽管这些发现形成了指导我们研究的理论模型，但现在刚刚获得的最新纵向数据为推进这一领域的研究提供了一个重要机会。