优化植被碳含量参数及其在中国碳储存估计中的应用
Cong Yu1, Li Xu2, Nianpeng He3
1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
The Science of the total environment
|October 18, 2024
概括
准确的植被碳库评估对于生态模型至关重要. 本研究引入了一种新的生物质加权平均方法 (C_DWM),用于可靠的区域碳储存估计,其性能优于传统方法.
科学领域:
- 生态生态学 生态生态学
- 生物地质化学生物地质化学
- 环境科学 环境科学
背景情况:
- 植被中的碳含量对于评估碳池和流量至关重要,影响生态模型和气候变化对碳封存影响的预测.
- 目前用于将器官水平碳含量升级到社区规模的方法及其对区域碳库存估计的影响尚不清楚.
研究的目的:
- 量化植物碳含量的各种升级方法之间的差异.
- 评估这些方法对中国自然陆地生态系统的区域碳库存估计的影响.
- 为区域碳含量和库存评估提出可靠的方法.
主要方法:
- 在中国72个典型的自然生态系统中进行了社区结构调查.
- 分析了27905个植物器官 (叶子,树枝,树干,根) 的测量样本.
- 比较扩大规模的方法包括社区加权平均值 (C_CWM),主导物种生物质加权平均值 (C_DWM),几何平均值,算术平均值和经验系数 (45%,50%).
主要成果:
- 主导物种生物质加权平均值 (C_DWM) 方法与社区加权平均值 (C_CWM) 方法具有很高的相似性.
- 与C_CWM (18.39 Pg C) 相比,其他方法的相对误差为-2.6%至8.22%.
- 经验系数 (45%和50%) 的不确定性最高,误差分别为-2.60%和+8.22%. 拟议的C_DWM方法显示出高可靠性,只有0.44%的高估值.
结论:
- C_DWM方法是区域植被碳含量和库存评估的可靠和首选方法.
- 该研究提供了关于中国各省份和植被类型的植物器官碳含量的关键数据.
- 这些发现支持改善区域碳库存评估和碳循环建模.
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