森林人口优化的理论
Jon Moore1, Arthur Argles2, Peter Cox1
1Faculty of Environment, Science and Economy, University of Exeter, Exeter, Devon, EX4 4QF, UK.
Scientific reports
|November 1, 2023
概括
森林库存显示了常见的树木大小分布,这表明了一个更简单的气候模型. 人口优化 (DO) 解释了这些模式,并预测了生殖分配,改善了碳汇预测.
科学领域:
- 生态生态学 生态生态学
- 气候科学 气候科学
- 林业林业 林业 林业 林业
背景情况:
- 动态全球植被模型 (DGVMs) 由于未知的参数,在碳汇预测中面临不确定性.
- 在亚马逊和美国观察到的森林库存显示出类似的树木大小分布,表明潜在的更简单的潜在生态原理.
- 人口平衡理论 (DET) 将树大小分布曲线与死亡率与增长率联系起来.
研究的目的:
- 扩大人口平衡理论 (DET) 的范围,包括招聘限制.
- 在森林生态系统中引入和探索人口优化 (DO) 的概念.
- 将观察到的森林结构和生殖策略与理论生态模型相协调.
主要方法:
- 扩大了DET的范围,包括受竞争性排斥限制的招聘.
- 开发了人口优化 (DO) 概念,确定了树木密度和生物质的同时最大值.
- 综合的DO与美国和亚马逊森林的实证死亡率与生长率的比率.
主要成果:
- 该模型预测,大约八分之一的初级生产率将最佳分配给繁殖,这与观察结果一致.
- 一个关键的预测是,随着种子大小的增加,种子死亡率下降,抵消了众多小种子的优势.
- 人口优化 (DO) 成功解释了不同森林类型中常见的树木大小分布形状.
结论:
- 人口优化 (DO) 为了解森林结构和功能提供了一个统一的框架.
- 该模型的预测与生殖分配和种子大小与死亡率关系的经验数据保持一致.
- 与复杂的DGVM相比,这种方法为预测未来的陆地碳汇提供了更强大的方法.
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