全球总转化率的数据集,遍及陆地生态系统的总转化率
Eunji Byun1, Christoph Müller2,3,4, Barbara Parisse5
1Department of Earth System Sciences, Yonsei University, Seoul, Republic of Korea.
Scientific data
|September 19, 2024
概括
研究人员创建了一个关于陆地生态系统中转化速率 (GNTR) 的综合数据集. 这项全球综合研究有助于理解循环,并确定了改善生态系统建模的研究差距.
科学领域:
- 生态生态学 生态生态学
- 生物地质化学生物地质化学
- 环境科学 环境科学
背景情况:
- 转化对于了解循环至关重要,但测量它们的速率是具有挑战性和昂贵的.
- 现有的关于总转化率 (GNTR) 的数据是分散的,限制了全面的分析.
- 需要一个标准化,广泛的数据集来探索GNTR的变化.
研究的目的:
- 编制最全面的陆地生态系统GNTR的全球数据集.
- 为了改进分析,将GNTR数据与广泛的环境变量集成在一起.
- 促进对循环和生态系统建模的未来研究.
主要方法:
- 从581个地点的331个研究 (1984-2022) 中提取了数据,产生了1552个观察结果.
- 收集的GNTR数据被标准化,并添加了49个土壤,植被和气候变量.
- 基于机器学习的数据归算被用来解决缺失的GNTR值.
主要成果:
- 编制的数据集代表了迄今为止对陆地GNTR的最广泛的概述.
- 这些数据揭示了GNTR在各种环境条件下的范围和变异性.
- 计量增强了理论上相关的过程之间的统计关系.
结论:
- 该数据集为确定循环研究缺口提供了宝贵的资源.
- 它可以帮助界定特定生态区域的GNTR,并验证生态系统模型.
- 这种合成有助于对全球循环的定量理解.
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