结合多种特征选择方法和结构方程建模,探索影响自然针叶宽叶混合森林支柱生物质的因素
Xiao He1, Xiangdong Lei1, Qigang Xu2
1State Key Laboratory of Efficient Production of Forest Resources, Key Laboratory of Forest Management and Growth Modelling, National Forestry and Grassland Administration, Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China.
The Science of the total environment
|October 3, 2024
概括
确定影响森林生物质的关键因素对于碳管理至关重要. 这项研究结合了多种方法,确定了影响森林生物质的六个一致变量,包括多样性和气候因素,为更好的森林碳估计提供了洞察力.
科学领域:
- 林业和生态 林业和生态
- 量化生态学 量化生态学
- 森林管理 森林管理
背景情况:
- 准确的森林生物质估计对于碳核算和管理至关重要.
- 变量选择方法的不一致结果使生物质建模复杂化.
- 需要一种系统的方法来确定森林生物质的关键驱动因素.
研究的目的:
- 通过多种特征选择方法,确定影响自然混合森林生物质的一致变量.
- 通过结构方程建模 (SEM) 探索这些变量对森林生物质的影响.
- 为改善森林生物质估计和碳管理提供见解.
主要方法:
- 应用了8种特征选择方法 (如PCA,RF,BRT) 来对286个森林地块中的56个候选变量进行分析.
- 确定了六个一致选择的变量:树木物种多样性,树结构多样性,NRI,CWM.LDMC,土壤pH,以及18°C以上的度日 (DD18).
- 利用SEM分析这些变量的直接和间接影响,以及平均年龄和添加位密度指数 (aSDI),对位生物质.
主要成果:
- 标准平均年龄和aSDI对生物质表现出最强的积极影响.
- 结构多样性也显著增强了生物质.
- DD18具有显著的总体负面影响 (直接和间接),而土壤pH通过aSDI间接影响生物质.
结论:
- 将多种特征选择方法与SEM结合起来,可以有效地识别影响森林生物质的关键因素.
- 六个一致的变量 (多样性,气候,土壤) 对于理解生物质至关重要.
- 研究结果为改善森林生物质估计和碳管理策略提供了宝贵的见解.
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