通过引入扩散分数和辐射标尺,改善光使用效率模型
Pengfei Zhao1, Guanghui Huang1, Xufeng Wang2
1College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China.
The Science of the total environment
|March 9, 2025
概括
新的光利用效率 (LUE) 模型,包括分散辐射分数和辐射强度,改善了总初级产量 (GPP) 的估计. 双叶扩散分量辐射尺度LUE (TDR-LUE) 模型在各种生态系统中显示出卓越的性能.
科学领域:
- 生态生态学 生态生态学
- 生态系统科学 生态系统科学
- 遥感 遥感 遥感 遥感
背景情况:
- 准确估计总初级生产 (GPP) 取决于了解植被光使用效率 (LUE).
- 表面太阳辐射的组成部分和强度显著影响LUE和GPP.
- 现有的LUE模型往往不能完全考虑散射辐射效应或辐射强度影响.
研究的目的:
- 开发和验证新型的LUE模型,整合散光合成光子流量密度分数 (fdPPFD) 和辐射标量.
- 通过考虑分散受精效应 (DFE) 和辐射强度,提高在陆地生态系统中GPP估计的准确性.
主要方法:
- 开发了两种新的LUE模型:大叶扩散分数辐射尺度LUE (BDR-LUE) 和双叶扩散分数辐射尺度LUE (TDR-LUE).
- 校准和验证的模型使用来自32个FLUXNET站点的数据在六种植被类型的扩散PPFD测量.
- 模型性能与传统的Eddy协差-LUE (EC-LUE) 和双叶LUE (TL-LUE) 模型进行比较.
主要成果:
- 无论是BDR-LUE和TDR-LUE模型都超过了传统的LUE模型,TDR-LUE显示出更高的准确性.
- 与EC-LUE相比,BDR-LUE减少了至少12.75%的RMSE;与TL-LUE相比,TDR-LUE减少了至少13.54%的RMSE.
- 这些模型准确地捕获了年度和月度GPP变化,尽管BDR-LUE对耕地更准确.
结论:
- 将fdPPFD和辐射标量纳入LUE模型对于准确的GPP估计至关重要.
- 开发的BDR-LUE和TDR-LUE模型为在陆地生态系统中估计GPP提供了显著的改进.
- 这些模型在推进生态系统生产力研究和应用方面具有巨大的潜力.
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