Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125;
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109.
Proc Natl Acad Sci U S A. 2019 Jun 11;116(24):11640-11645. doi: 10.1073/pnas.1900278116. Epub 2019 May 28.
Northern hemisphere evergreen forests assimilate a significant fraction of global atmospheric CO but monitoring large-scale changes in gross primary production (GPP) in these systems is challenging. Recent advances in remote sensing allow the detection of solar-induced chlorophyll fluorescence (SIF) emission from vegetation, which has been empirically linked to GPP at large spatial scales. This is particularly important in evergreen forests, where traditional remote-sensing techniques and terrestrial biosphere models fail to reproduce the seasonality of GPP. Here, we examined the mechanistic relationship between SIF retrieved from a canopy spectrometer system and GPP at a winter-dormant conifer forest, which has little seasonal variation in canopy structure, needle chlorophyll content, and absorbed light. Both SIF and GPP track each other in a consistent, dynamic fashion in response to environmental conditions. SIF and GPP are well correlated ( = 0.62-0.92) with an invariant slope over hourly to weekly timescales. Large seasonal variations in SIF yield capture changes in photoprotective pigments and photosystem II operating efficiency associated with winter acclimation, highlighting its unique ability to precisely track the seasonality of photosynthesis. Our results underscore the potential of new satellite-based SIF products (TROPOMI, OCO-2) as proxies for the timing and magnitude of GPP in evergreen forests at an unprecedented spatiotemporal resolution.
北半球的常绿森林同化了大气中很大一部分的二氧化碳,但监测这些系统中总初级生产力(GPP)的大规模变化具有挑战性。遥感技术的最新进展使得人们能够探测到植被发出的太阳诱导叶绿素荧光(SIF),这已经在大空间尺度上与 GPP 建立了经验关系。在常绿森林中,这一点尤为重要,因为传统的遥感技术和陆地生物圈模型无法再现 GPP 的季节性。在这里,我们研究了从冠层光谱仪系统中提取的 SIF 与冬季休眠针叶林 GPP 之间的机制关系,该森林的冠层结构、针叶叶绿素含量和吸收光在季节上几乎没有变化。SIF 和 GPP 都以一致的、动态的方式响应环境条件相互跟踪。SIF 和 GPP 在小时到周的时间尺度上具有很好的相关性(= 0.62-0.92),斜率不变。SIF 的大季节变化反映了与冬季适应相关的光保护色素和光系统 II 运行效率的变化,突出了其精确跟踪光合作用季节性的独特能力。我们的研究结果强调了新型基于卫星的 SIF 产品(TROPOMI、OCO-2)作为常绿森林 GPP 时间和幅度的代表的潜力,这些产品具有前所未有的时空分辨率。