人口,动态和数据:为模拟世界森林变化建立信心.
Annemarie H Eckes-Shephard1, Arthur P K Argles2, Bogdan Brzeziecki3
1Department of Physical Geography and Ecosystem Science, Lund University, Lund, 22362, Sweden.
The New phytologist
|October 23, 2025
概括
植被人口模型 (VDM) 显示在干扰后的碳回收率有所不同. 这项研究对9个VDM进行了基准分析,确定了准确森林预测的关键校准需求.
科学领域:
- 生态生态学 生态生态学
- 林业林业 林业 林业 林业
- 气候科学 气候科学
背景情况:
- 植被人口模型 (VDM) 对于模拟气候和土地利用变化下的森林动态至关重要.
- 在地球系统模型中越来越多地使用VDM,但缺乏标准化的性能比较.
- 了解森林反应需要精确的碳循环和生物质的VDM模拟.
研究的目的:
- 量化对9个植被人口模型 (VDM) 的性能进行比较.
- 评估VDM在预测森林生长,碳循环,生物质和尺寸分布方面的准确性.
- 确定改善森林应对预测的关键模型参数.
主要方法:
- 将9个VDM与北极,温带和热带森林的观测数据进行比较.
- 在干扰后至少420年的持续气候条件下模拟模型.
- 分析干扰后恢复轨迹,初始再生率和成熟森林的碳含量.
主要成果:
- 在观察范围内,VDM在干扰后的碳回收轨迹中表现出显著的变化.
- 最初的再生增长率在生物群和模型之间差异很大,受初始森林状态的影响.
- 模型准确地捕获了成熟森林碳,但显示了生长率和死亡率的补偿错误.
结论:
- 增长率和死亡率是改善VDM的关键校准目标.
- 改进干扰后的建立条件对于VDM发展至关重要.
- 需要特定的基准测试变量来提高森林对环境变化反应的预测.
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