一个依赖叶子年龄的光使用效率模型,用于远程遥感热带常青宽叶森林的总初级生产率季节性
Jie Tian1, Xueqin Yang1,2,3, Wenping Yuan4
1Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-Sen University and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China.
Global change biology
|August 12, 2024
概括
本研究引入了一种新的叶子年龄依赖的光使用效率 (LUE) 模型,以准确模拟热带和亚热带常青宽叶森林 (TEF) 中的毛初级生产率 (GPP) 季节性. 该模型通过结合叶子年龄来改进GPP估计,这对于了解森林碳循环至关重要.
科学领域:
- 生态生态学 生态生态学
- 森林科学 森林科学 森林科学
- 遥感 遥感 遥感 遥感
- 生物地质化学生物地质化学
背景情况:
- 热带和亚热带常青宽叶森林 (TEF) 对全球陆地总初级生产率 (GPP) 至关重要,占三分之一以上.
- 在TEF中准确模拟GPP季节性是由于对大陆尺度上的叶子表态-光合作用关系的理解不足而受到阻碍.
- 现有的光利用效率 (LUE) 模型往往无法捕捉GPP季节性的细微差别,因为缺乏叶子年龄考虑.
研究的目的:
- 开发和验证一种新的叶子年龄依赖的LUE模型 (LA-LUE),以改进TEF中的GPP季节性模拟.
- 将叶子年龄信息集成到基于卫星的LUE模型中,用于大陆规模的应用.
- 为了提高对TEFs中的叶子现象学-光合作用联系的理解.
主要方法:
- 将不同叶子年龄组的季节叶面积指数 (LAI) 纳入广泛使用的LUE模型 (EC-LUE).
- 提出并测试了一种新的叶子年龄依赖的LUE模型 (LA-LUE).
- 验证了LA-LUE模型与现场级流量塔数据,FLUXCOM GPP和卫星衍生的GPP (OCO-2 SIF产品:GOSIF和RTSIF) 相对应.
主要成果:
- 在场地层面上,LA-LUE模型在模拟GPP季节性方面明显优于原来的EC-LUE模型 (Avg. R2:0.59对比0.18). 这是一个很好的例子.
- 来自LA-LUE的大陆规模GPP估计显示,与FLUXCOM (R2: 0.80) 和基于SIF的产品 (GOSIF R2: 0.64,RTSIF R2: 0.78) 强烈一致.
- 该模型成功地捕获了热带附近的单模GPP季节性和赤道附近的双模季节性.
结论:
- 将叶子年龄纳入基于卫星的LUE模型提供了一种可行且有效的方法,用于在TEF中绘制大陆级GPP季节性的地图.
- LA-LUE模型在模拟GPP动态方面取得了重大进展,这对于气候和碳循环研究至关重要.
- 这项研究为了解和监测重要的热带和亚热带森林生态系统的碳捕获能力提供了一个新的工具.
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