方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 异速生长生物量方程× | 树高测量× | |
|---|---|---|
| 领域 | 林学 | 林学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1990s–2010s | 1950s–2000s |
| 提出者≠ | Chave, Niklas, and forest biometricians | Bitterlich and classical forestry mensuration |
| 类型≠ | Model development and application pipeline | Measurement pipeline |
| 开创性文献≠ | Chave, J., Andalo, C., Brown, S., et al. (2005). Tree Allometry and Improved Estimation of Carbon-Stock and Density in Tropical Forests. Oecologia, 145(1), 87–99. DOI ↗ | Bitterlich, W. (1984). The Relascope Idea: Relative Measurements in Forestry. Commonwealth Agricultural Bureaux. link ↗ |
| 别名 | Biomass allometry, Regression-based biomass prediction, Diameter-to-biomass conversion | Dendrometric height, Tree elevation measurement, Stand height determination |
| 相关 | 4 | 4 |
| 摘要≠ | Allometric equations predict tree above-ground or total biomass from easily measured tree dimensions—typically diameter at breast height (DBH), height, and wood density. Grounded in biological allometry (scaling laws) and codified by Chave, Niklas, and others, allometric equations are essential tools for rapid biomass assessment without tree harvesting. Used globally for carbon accounting, yield estimation, and ecosystem characterization. | Tree height measurement—determining the vertical distance from ground to tree top—is a cornerstone of forest inventory and biomass estimation. Ranging from classical optical instruments (clinometer, Abney level) to modern laser hypsometers and airborne LiDAR, tree height quantification enables calculation of volume, biomass, site index (productivity), and forest structural characterization essential for management, research, and carbon accounting. |
| ScholarGate数据集 ↗ |
|
|