方法对比
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| 异速生长生物量方程× | 森林清单抽样× | |
|---|---|---|
| 领域 | 林学 | 林学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1990s–2010s | 1973 |
| 提出者≠ | Chave, Niklas, and forest biometricians | Loetsch, Zöhrer, and Haller |
| 类型≠ | Model development and application pipeline | Statistical sampling 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 ↗ | Loetsch, F., Zöhrer, F., & Haller, K. E. (1973). Forest Inventory. BLV Verlagsgesellschaft. link ↗ |
| 别名 | Biomass allometry, Regression-based biomass prediction, Diameter-to-biomass conversion | Forest stand sampling, Timber inventory sampling, Plot-based forest survey |
| 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. | Forest inventory sampling is a systematic approach to estimate forest characteristics such as timber volume, species composition, and biomass by surveying a representative subset of trees rather than conducting exhaustive censuses. Developed by Loetsch and colleagues in the 1970s, the method applies statistical sampling theory to forest assessment and remains the foundation for sustainable forest management and resource monitoring worldwide. |
| ScholarGate数据集 ↗ |
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