在共享社会经济路径下预测的东南亚未来森林覆盖变化的空间数据集
1Center for Biodiversity and Climate Change, Forestry and Forest Products Research Institute, 1 Matsunosato, Tsukuba, Ibaraki 305-8687 Japan.
Data in brief
|November 15, 2023
概括
这项研究将2015-2050年东南亚森林覆盖面的预测变化空间化,跨越五条共享社会经济路径 (SSP). 由此产生的GIS数据集有助于评估森林砍伐和植树的未来社会生态影响.
科学领域:
- 环境科学 环境科学
- 气候变化建模模型
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 共享社会经济路径 (SSP) 为社会生态变量提供未来情景,但缺乏空间细节.
- 预计森林覆盖面的变化对于理解区域环境动态至关重要.
- 现有的预测经常忽略空间维度,限制了它们在区域规划中的应用.
研究的目的:
- 在五个SSP下,在东南亚空间化预测的森林覆盖变化 (2015-2050年).
- 为详细的区域分析创建一个森林覆盖面的森林覆盖面动态的地理信息系统 (GIS) 拉斯特数据集.
- 为评估与森林覆盖面转移相关的未来社会生态影响提供一个工具.
主要方法:
- 利用五个基准的共享社会经济路径 (SSP) 进行情景开发.
- 应用空间建模技术来预测森林覆盖面的变化 (收益和损失).
- 在300米分辨率下将输出格式化为GIS拉斯特文件 (.tif).
主要成果:
- 创建了东南亚 (2015-2050) 预计森林覆盖面变化的空间显式数据集.
- 该数据集捕捉了不同SSP下的森林损失和收益预测.
- 数据以用户友好的GIS拉斯特格式提供.
结论:
- 空间化数据集增强了SSP在区域环境影响评估中的实用性.
- 允许在国家,次国家和景观层面详细分析森林覆盖面的动态.
- 促进有关东南亚保护和土地管理战略的知情决策.
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