来自瑞士各地的4000棵树的数据集,其中包括截面测量的树干直径和树枝体积
Markus Didion1, Anne Herold2, Esther Thürig2
1Forest Resources and Management, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland. markus.didion@wsl.ch.
Scientific data
|May 9, 2024
概括
这项研究引入了大量树干测量的数据集,以改善森林库存模型. 这些数据支持在全球范围内准确估计和验证树体积函数.
科学领域:
- 林业科学 林业科学
- 定量生态学 是一种定量生态学.
- 森林测量 森林测量
背景情况:
- 估计树干量对于森林库存至关重要,但传统上需要时间和成本密集的测量.
- 现有的种植库存估计模型依赖于使用实证数据进行参数化,而实证数据具有历史限制.
研究的目的:
- 为了呈现一个全面的数据集,从砍伐的树木的截面智能干测量.
- 为提高树体积函数的准确性和一致性提供经验数据.
- 在全球范围内支持森林库存估计和模型验证.
主要方法:
- 编制和修订了40349棵被砍伐的单个树木的数据集,并进行了截面干部测量.
- 包括经验上得出的粗 (直径≥7厘米) 和细枝的树木子集的体积.
- 1888年至1974年间在瑞士各地收集的数据,涵盖了不同的地形和物种.
主要成果:
- 该数据集包含了40349棵树的详细测量,包括粗枝和细枝的体积.
- 这些数据涵盖了广泛的历史时期 (1888年至1974年) 和瑞士内的地理范围.
- 该数据集适用于参数化和验证树体积模型.
结论:
- 这种大规模的数据集为推进森林库存技术提供了宝贵的资源.
- 这些数据可以提高种植库存估计和整个树体积计算的准确性.
- 这些发现支持在林业中开发更强大和普遍适用的体积函数.
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