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Updated: Jan 13, 2026

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Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
Published on: June 24, 2019
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在温带混合森林和高山灌木生态系统中,CO2流,MODIS图像和地面观测的现象指标的差异2
Chuying Guo1,2,3, Leiming Zhang2,3, Peiyu Cao4,5
1College of the Environment and Ecology, Xiamen University, Xiamen 361102, China.
Plants (Basel, Switzerland)
|January 10, 2026
概括
评估生态系统现象学的不同方法产生了不同的结果. 使用卫星数据 (NDVI) 和生产率 (GPP) 的动态值方法提供了更一致的植物现象学估计,特别是生长季节的开始 (SOS).
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 气候科学 气候科学
背景情况:
- 生态系统现象学评估依赖于各种数据来源和提取方法,往往导致差异,特别是在各种植被类型和气候中.
- 基于地面的植物现象学 (Pheplant) 提供了一个参考,但遥感 (PheNDVI) 和生产力 (PheGPP) 度量越来越多地使用,需要方法验证.
研究的目的:
- 为了比较来自地面监测,NDVI和GPP的不同植被类型 (高山灌木草地和韩国松树林) 的现象动态.
- 评估五种常见的表态提取方法在估计不同数据源的植被表态 (生长季的开始,结束和长度) 中的性能.
- 识别能够在各种生态系统和数据类型中提供一致的现象学估计的方法.
主要方法:
- 主导植物物种 (Pheplant) 的表态是通过在两个对比地点的地面监测获得的:海北站 (HBS) 和长白山 (CBF).
- 植物现象学 (PheNDVI) 和光合作用现象学 (PheGPP) 采用五种方法提取:高斯拟合,后勤函数 (单双) 和固定值或衍生方法的平滑.
- 分析了年间的趋势和现象学指标 (SOS,EOS,GSL) 和环境因素 (温度) 之间的关系.
主要成果:
- 虽然生长季节的开始 (SOS) 在Pheplant,PheNDVI和PheGPP中显示出类似的跨年模式,但生长季节的结束 (EOS) 和生长季节的长度 (GSL) 是异步的.
- 与PheNDVI和PheGPP相比,PheNDVI和PheGPP通常表示较早的SOS,较晚的EOS和较长的GSL,SOS随着春季温度的增加而推进.
- 动态值方法在PheNDVI和PheGPP之间显示出最小的差异,这表明在各个站点和数据类型之间有更大的一致性,特别是在SOS估计中.
结论:
- 现象学估计存在显著差异,取决于数据源 (地面,NDVI,GPP) 和提取方法,突显了跨站点比较的挑战.
- 动态值方法在估计不同生态系统和数据类型的植被现象学,特别是SOS方面似乎更强大.
- 未来的研究应该集中在提高EOS准确性和了解植被组成对现象变异的影响上.
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