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On the seasonal relation of sun-induced chlorophyll fluorescence and transpiration in a temperate mixed forest
Agricultural and Forest Meteorology ( IF 5.6 ) Pub Date : 2021-03-24 , DOI: 10.1016/j.agrformet.2021.108386
Alexander Damm , Erfan Haghighi , Eugenie Paul-Limoges , Christiaan van der Tol

Novel strategies are required to reduce uncertainties in the assessment of ecosystem transpiration (T). A major problem in modelling T is related to the complexity of constraining canopy stomatal resistance (rsc), accounting for the main biological controls on T besides non biological controls such as aerodynamic resistances or energy constraints. The novel Earth observation signal sun-induced chlorophyll fluorescence (SIF) is the most direct measure of plant photosynthesis and offers new pathways to advance estimates of T. The potential of using SIF to study ecosystem T either empirically or in combination with complex mechanistic models has already been demonstrated in recent studies. The diversity of environmental drivers determining diurnal and seasonal dynamics in T and SIF independently requires additional investigation to guide further developments towards robust SIF-informed T retrievals. This study consequently aims to identify relevant biotic and abiotic environmental drivers affecting the capability of SIF to inform estimates of ecosystem T. We used observational data from a temperate mixed forest during the leaf-on period and a Penman-Monteith (PM) based modelling framework, and observed varying sensitivities of SIF-informed approaches for diurnal and seasonal T dynamics (i.e. r2 from 0.52 to 0.58 and rRMSD from 17 to 19%). We used the PM based modelling framework to investigate systematically the sensitivity of SIF to diurnal and seasonal variations in rsc when empirically and mechanistically embedded in the models. We used observations and the Soil-Vegetation-Atmosphere-Transfer model SCOPE to study the dependence of SIF and T on abiotic and biotic environmental drivers including net radiation, air temperature, relative humidity, wind speed, and leaf area index. We conclude on the potential of SIF to advance estimates of T and suggest preferring more sophisticated modelling frameworks constrained with SIF and other Earth observation data over the single use of SIF to assess reliably ecosystem T across scales.



中文翻译:

温带混交林中太阳诱导的叶绿素荧光与蒸腾作用的季节关系

需要新的策略来减少评估生态系统蒸腾作用(T)的不确定性。建模T的主要问题与约束冠层气孔阻力(r sc),除了非生物控制因素(如空气动力学阻力或能量限制)外,还应考虑到T的主要生物控制因素。新颖的地球观测信号太阳诱导的叶绿素荧光(SIF)是植物光合作用的最直接量度,并提供了新的途径来推进T的估算。利用SIF经验性地或结合复杂的机理模型研究生态系统T的潜力最近的研究已经证明了这一点。决定T和SIF的昼夜动态的环境驱动因素的多样性需要单独进行进一步的研究,以指导向SIF信息丰富的T检索的进一步发展。因此,本研究旨在确定影响SIF告知生态系统T估计能力的相关生物和非生物环境驱动因素。2从0.52到0.58,rRMSD从17到19%)。我们使用基于PM建模框架,系统地探讨SIF对昼夜变化和季节变化r中的敏感性SC时凭经验和机械地嵌入模型。我们使用观测值和土壤-植被-大气-转移模型SCOPE来研究SIF和T对非生物和生物环境驱动因素的依赖性,包括净辐射,空气温度,相对湿度,风速和叶面积指数。我们总结了SIF在推算T值方面的潜力,并建议在使用SIF来跨尺度评估可靠的生态系统T时,更倾向于使用受SIF和其他地球观测数据约束的更复杂的建模框架。

更新日期:2021-03-25
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