大自然对减贫,人类福祉和可持续发展目标的贡献
Mahesh Poudyal1, Franziska Kraft2, Geoff Wells3
1Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Canterbury, UK. m.poudyal@kent.ac.uk.
Scientific data
|February 22, 2024
概括
未耕种的生态系统显著提高了低收入和中等收入国家的人类福祉. 这项研究提供了一个大规模的数据集,以更好地了解大自然.
科学领域:
- 生态与自然保护学
- 人类生态人类生态学
- 发展研究 发展研究 研究
背景情况:
- 全球数百万人依赖未经耕种的生态系统来谋生.
- 以前对大自然对幸福的贡献的理解受到小规模研究和数据稀缺的限制.
- 需要大规模的数据集来全面分析自然与福祉的关系.
研究的目的:
- 分析未经耕种的自然如何为多维的人类福祉做出贡献.
- 研究自然产生的好处在家庭中的分布.
- 创建一个强大的,集成的数据集,用于未来研究自然与福祉的联系.
主要方法:
- 汇集了来自11个可比数据集的数据,涵盖了10个低收入和中等收入国家的232个定居点和10971个家庭.
- 包括森林,草原和沿海生态系统.
- 整合农村生计,福祉,人口统计,资源占有和社会生态背景的二次数据与全球数据集 (例如,到城市的旅行时间,GDP,土地覆盖).
主要成果:
- 开发了一个集成的数据集,存档农村生计,人类福祉和生态背景.
- 该数据集代表了多个国家的不同生态系统和家庭类型.
- 方便对大自然对多维福祉的贡献进行大规模分析.
结论:
- 创建的综合数据集是了解自然与福祉关系的宝贵资源.
- 能够在未来研究自然的好处如何在家庭中分布.
- 支持基于证据的可持续发展和保护政策.
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