Purpose of Review

Terrestrial ecosystems in the Arctic-Boreal region play a crucial role in the global carbon cycle as a carbon sink. However, rapid warming in this region induces uncertainties regarding the future net carbon exchange between land and the atmosphere, highlighting the need for better monitoring of the carbon fluxes. Solar-Induced chlorophyll Fluorescence (SIF), a good proxy for vegetation CO\(^{2}\) uptake, has been broadly utilized to assess vegetation dynamics and carbon uptake at the global scale. However, the full potential and limitations of SIF in the Arctic-Boreal region have not been explored. Therefore, this review aims to provide a comprehensive summary of the latest insights into Arctic-Boreal carbon uptake through SIF analyses, underscoring the advances and challenges of SIF in solving emergent unknowns in this region. Additionally, this review proposes applications of SIF across scales in support of other observational and modeling platforms for better understanding Arctic-Boreal vegetation dynamics and carbon fluxes.

Recent Findings

Cross-scale SIF measurements complement each other, offering valuable perspectives on Arctic-Boreal ecosystems, such as vegetation phenology, carbon uptake, carbon-water coupling, and ecosystem responses to disturbances. By incorporating SIF into land surface modeling, the understanding of Arctic-Boreal changes and their climate drivers can be mechanistically enhanced, providing critical insights into the changes of Arctic-Boreal ecosystems under global warming.

Summary

While SIF measurements are more abundant and with finer spatiotemporal resolutions, it is important to note that the coverage of these measurements is still limited and uneven in the Arctic-Boreal region. To address this limitation and further advance our understanding of the Arctic-Boreal carbon cycle, this review advocates for fostering a SIF network providing long-term and continuous measurements across spatial scales. Simultaneously measuring SIF and other environmental variables in the context of a multi-modal sensing system can help us comprehensively characterize Arctic-Boreal ecosystems with spatial details in land surface models, ultimately contributing to more robust climate projections.

中文翻译：

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太阳诱导叶绿素荧光（SIF）：更好地了解北极-北方生态系统的植被动态和碳吸收

审查目的

北极-北方地区的陆地生态系统作为碳汇在全球碳循环中发挥着至关重要的作用。然而，该地区的快速变暖导致了未来陆地和大气之间的净碳交换的不确定性，凸显了更好地监测碳通量的必要性。太阳诱导的叶绿素荧光 (SIF) 是植被 CO \(^{2}\)吸收的良好代表，已被广泛用于评估全球范围内的植被动态和碳吸收。然而，SIF 在北极-北方地区的全部潜力和局限性尚未得到探索。因此，本综述旨在全面总结通过 SIF 分析对北极-北方碳吸收的最新见解，强调 SIF 在解决该地区新兴未知问题方面的进展和挑战。此外，本综述提出了 SIF 的跨尺度应用，以支持其他观测和建模平台，以更好地了解北极-北方植被动态和碳通量。

最近的发现

跨尺度 SIF 测量相辅相成，为北极-寒带生态系统提供了宝贵的视角，例如植被物候、碳吸收、碳-水耦合以及生态系统对干扰的响应。通过将 SIF 纳入地表模型，可以从机制上增强对北极-寒带变化及其气候驱动因素的理解，为全球变暖下北极-寒带生态系统的变化提供重要见解。

概括

虽然 SIF 测量更加丰富并且具有更精细的时空分辨率，但值得注意的是，这些测量的覆盖范围在北极-北方地区仍然有限且不均匀。为了解决这一局限性并进一步增进我们对北极-北方碳循环的理解，本次审查主张建立一个 SIF 网络，提供跨空间尺度的长期和连续测量。在多模态传感系统的背景下同时测量 SIF 和其他环境变量可以帮助我们利用地表模型中的空间细节来全面描述北极-寒带生态系统的特征，最终有助于做出更稳健的气候预测。