全球自然草原的地面净初级生产率的长期网格数据集
Ziwei Chen1,2, Dongsheng Zhao3, Zhiyuan Zhang4
1University Key Lab of Soil Ecosystem Health and Regulation in Fujian, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Scientific data
|February 26, 2026
概括
一个新的数据集为全球草原提供了关键的地面净初级生产率 (ANPP) 数据,有助于碳建模和土地管理. 这些长期ANPP数据支持气候变化适应战略.
科学领域:
- 生态生态学 生态生态学
- 气候科学 气候科学
- 数据科学数据科学数据科学
背景情况:
- 准确的地面净初级生产率 (ANPP) 数据对于全球自然草原对于碳循环建模和可持续土地管理至关重要.
- 现有的ANPP数据集往往缺乏地面和地下生产力的分离,或者仅代表干扰后的条件,从而限制了它们的实用性.
研究的目的:
- 为全球自然草原开发一个全面的,网格化的ANPP年度数据集,涵盖历史和未来的时期.
- 为评估气候驱动的生产力和人类对草原生态系统的影响提供可靠的基准.
主要方法:
- 利用机器学习创建一个网格化的年度ANPP数据集.
- 从TerraClimate数据 (1958-2023) 获得历史ANPP,分辨率为1/24°.
- 在SSP245和SSP585场景下,从CMIP6模型 (2015-2100) 中纳入未来ANPP预测,分辨率为1/2°.
主要成果:
- 开发的ANPP模型展示了强大的性能 (R2 = 0.675 ± 0.009) 与验证的时间和空间可靠性.
- 承认由于有限的实地观测,在高生产率地区 (>700 g m−2) 潜在的低估值.
结论:
- 新的数据集提供了草原ANPP的空间显式,气候驱动的基线.
- 这种资源对于评估人类影响和在不断变化的气候条件下为适应性管理策略提供信息至关重要.
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