区域自然资源管理的综合社会生态数据
Vanessa M Adams1, Stuart Allen1, Ruth Steel2
1School of Geography, Planning, and Spatial Sciences, University of Tasmania, Private Bag 51, Hobart, TAS 7001, Australia.
Data in brief
|December 11, 2023
概括
这项研究整合了澳大利亚自然资源管理人员的各种社会和生态数据. 它提供了跨区域的分类变量,以支持对人类和自然系统的知情决策.
科学领域:
- 环境科学 环境科学
- 社会科学 社会科学 社会科学
- 数据科学数据科学数据科学
背景情况:
- 自然资源管理者需要人类和自然系统的综合数据.
- 现有的数据往往来自不同的来源,在不同的时间和空间尺度上收集.
- 需要一个统一的数据集来弥合这些差距,以便有效管理.
研究的目的:
- 编制和空间组织澳大利亚社会和生态变量的综合数据集.
- 为管理人员提供元数据分类变量,以改善数据选择.
- 促进人与自然系统的综合分析.
主要方法:
- 文献审查,从33个澳大利亚数据源中确定270个相关变量.
- 使用地理信息系统 (GIS) 对自然资源管理 (NRM) 区域和澳大利亚 (IBRA) 生物区域的临时生物地理区域化进行变量的空间总结.
- 基于系统类型 (社会,生态,相互作用),社会细分和更新频率的数据分类.
主要成果:
- 编制了一个包含425个变量的数据集 (2016年为143个,2021年为148个,这两个时期为134个).
- 对63个NRM地区和419个IBRA地区的变量进行了空间总结.
- 对离岸岛屿和小型IBRA地区发现数据缺陷,影响完整性.
结论:
- 开发的数据集和元数据为自然资源管理人员提供了宝贵的资源.
- 分类有助于为特定的管理环境选择适当的数据.
- 解决数据缺口对于更全面地对人与自然系统进行空间分析至关重要.
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