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An NDVI-Based Vegetation Phenology Is Improved to be More Consistent with Photosynthesis Dynamics through Applying a Light Use Efficiency Model over Boreal High-Latitude Forests

机译:通过在北方高纬度森林上应用光利用效率模型,改进了基于NDVI的植被物候特性,使其与光合作用动力学更加一致

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Remote sensing of high-latitude forests phenology is essential for understanding the global carbon cycle and the response of vegetation to climate change. The normalized difference vegetation index (NDVI) has long been used to study boreal evergreen needleleaf forests (ENF) and deciduous broadleaf forests. However, the NDVI-based growing season is generally reported to be longer than that based on gross primary production (GPP), which can be attributed to the difference between greenness and photosynthesis. Instead of introducing environmental factors such as land surface or air temperature like previous studies, this study attempts to make VI-based phenology more consistent with photosynthesis dynamics through applying a light use efficiency model. NDVI (MOD13C2) was used as a proxy for both fractional of absorbed photosynthetically active radiation (APAR) and light use efficiency at seasonal time scale. Results show that VI-based phenology is improved towards tracking seasonal GPP changes more precisely after applying the light use efficiency model compared to raw NDVI or APAR, especially over ENF.
机译:遥感高纬度森林物候对理解全球碳循环和植被对气候变化的响应至关重要。归一化差异植被指数(NDVI)长期以来一直用于研究北方常绿针叶林(ENF)和落叶阔叶林。但是,据报道,基于NDVI的生长期要比基于初级总产值(GPP)的生长期长,这可以归因于绿色与光合作用之间的差异。本研究试图通过应用光利用效率模型,使基于VI的物候学与光合作用动力学更加一致,而不是像以前的研究那样引入诸如陆地表面或气温等环境因素。 NDVI(MOD13C2)用作季节性时间尺度上吸收的光合有效辐射(APAR)的一部分和光利用效率的代理。结果表明,与原始NDVI或APAR相比,应用光利用效率模型后,基于VI的物候态在跟踪季节性GPP变化方面更加精确,尤其是在ENF上。

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