种植Larix olgensis的最大树冠宽度模型及其应用
Wei Zhang1, Guan-Mou Chen1, Ling-Bo Dong1
1Ministry of Education Key Laboratory of Sustainable Forest Ecosystem Management, School of Forestry, Northeast Forestry University, Harbin 150040, China.
Ying yong sheng tai xue bao = The journal of applied ecology
|August 31, 2025
概括
种群密度对Larix olgensis种植面积和碳储存有重大影响. 根据种群密度指数 (SDI) 的分类提高了准确性,防止低密度种群的高估值和高密度种群的低估值.
科学领域:
- 林业和林业
- 生态与环境科学
- 量化生态学
背景情况:
- 准确估计森林种群数量和碳储存对于可持续森林管理至关重要.
- 树密度,通常用树密度指数 (SDI) 来衡量,是影响个体树木生长和树水平生产力的关键因素.
- 以前的模型往往忽略了不同种群密度对关键森林指标的微妙影响.
研究的目的:
- 开发和验证不同种群密度指数 (SDI) 的Larix olgensis种植园的最大树冠宽度预测模型.
- 量化位密度对位体积和碳储存的影响.
- 在Larix olgensis种植园中提供精确种群密度调节的基础.
主要方法:
- 使用了55个Larix olgensis种植地的调查数据.
- 使用平均值±标准偏差将图形分为三个SDI等级 (I,II,III).
- 使用物流方程,模拟变量和量子位回归 (0.90,0.95,0.99) 开发了最大冠位宽度预测模型.
- 使用冠状投射面积方法编制的支架管理密度表.
- 量化了SDI等级对库存量和碳储存的影响.
主要成果:
- 冠状宽度模型显示SDI等级之间存在显著差异,其中0.90量子为最佳模拟.
- 与基本的物流模型相比,量子回归模型显著提高了准确性 (R2adj增加了0.20) 和减少了误差 (RMSE减少了0.15米).
- 忽视SDI等级导致低密度站 (SDI I) 的高估值 (26.16 m3·hm2为体积,10.10 t C·hm2为碳) 和低估值 (85.13 m3·hm2为体积,33.04 t C·hm2为碳) 在高密度站 (SDI III).
结论:
- 种群密度显著影响Larix olgensis种植面积和碳储存,因此需要考虑SDI等级.
- 没有考虑SDI等级导致碳捕获能力的不准确评估,高密度库存被高估,低密度库存被低估.
- 基于SDI等级的种群密度监管对于精确的质量改善和精确的碳库存评估在Larix olgensis种植园中至关重要.
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