蒸腾作用
依赖关系(UML)
气孔导度
叶绿素荧光
环境科学
范围(计算机科学)
光合作用
能量平衡
辐射传输
生态系统
计算机科学
大气科学
生物系统
遥感
生态学
植物
物理
生物
人工智能
地理
量子力学
程序设计语言
作者
Alexander Damm,Sebastian Roethlin,Liv Fritsche
标识
DOI:10.1109/igarss.2018.8518974
摘要
Reliable information about plant transpiration (T) is essential to advance understanding of various interactions and feedbacks across Earth spheres and eventually facilitate their predictions. Estimating T at larger scales is particularly challenged by the difficulty to constrain the biological control on T (i.e. stomatal conductance), while existing approaches based on potential rather than actual photosynthesis are less reliable than required. New Earth observation approaches such as measurements of sun-induced chlorophyll fluorescence (SIF), the most direct observable of ecosystem photosynthesis, opens new perspectives to advance estimates of T. This contribution aims to sensitize for variability of SIF-T relationships across species and in dependency on environmental conditions. We use the combined energy balance and radiative transfer model SCOPE to assess relationships between SIF and T in dependency on relevant environmental and plant specific variables. Our results provide important insight to further define SIF based approaches for advanced estimates of T.
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