## 5 Conclusions  
Here, we showed SIF\({}_{757}\) variability at an ER scale. The extent to which the vegetation communities' \(\Phi_{F}\) and \(\Omega_{C}\) influence the SIF retrievals still requires elucidation. The Amazon region is the most biodiverse place on Earth. Therefore, uncertainties about the extent to which there is linearity between SIF and GPP remain for this particular region. However, our study on ERs across the Amazon basin demonstrates that it is possible to differentiate high-resolution SIF responses, which are related to vital photosynthetic processes and carbon fixation. This approach, combined with further data on the factors related to SIF (\(\Phi_{F}\) and \(\Omega_{C}\)), and the ER-SIF specific responses to drought in terms of the LUE-SIF-GPP relationships could help to provide more accurate methods to estimate the carbon stocks and flows with unprecedented spatial and temporal resolutions. Finally, due to the extraordinarily high uncertainty about the association of SIF-GPP's relationship to OCO-2 SIF and satellite-based GPP products in rainforests and in South America, the next step would be to compare pertinent high-resolution air- or space-borne data with ground-based measurements, for example, data from eddy-flux towers or ground-based SIF instruments. Such data are difficult to acquire in the Amazon region, but might be relevant for comprehensively predicting GPP from the extremely biodiverse Amazonian ecosystems. The following are available online at [[http://www.mdpi.com/2072-4292/12/7/1202/s1](http://www.mdpi.com/2072-4292/12/7/1202/s1)]([http://www.mdpi.com/2072-4292/12/7/1202/s1](http://www.mdpi.com/2072-4292/12/7/1202/s1)), Figure S1. Sun Induced Fluorescence retrievals (OCO-2 Science Team, 2018) inside the Amazon river basin extent of [PERSON] et al. (2012); Figure S2. Forest cover and disturbances inside the Amazon river basin extent of [PERSON] et al. (2012). Based on the \"Tree canopy cover for year 2000\" (tneecover 2000) and \"Year of gross forest cover loss event\" (lossyear) of the Global Forest Change products of [PERSON] et al. (2013), respectively; Figure S3. SIF757 averages and standard error; vapor pressure deficit, and temperature averages, for normal and drought scPDSIconditions at sub-regions of the Af, Am and Aw Koppen-Geiger climate zones within the moist broadleaf forest biome for the baseline period. **Author Contributions:** [PERSON], A.O.C. and J.C. conceived the study, and A.O.C. performed the analysis and wrote the manuscript. All authors contributed to writing the manuscript. All authors have read and agreed to the published version of the manuscript. **Funding:** [PERSON] and A.R. acknowledge funding by the Bavarian Ministry of Science and the Arts in the context of the Bavarian Climate Research Network (BayKliF). J.C. acknowledges the support by Technische Universitat Munchen--Institute for Advanced Study, funded by the German Excellence Initiative and the European Union Seventh Framework Programme under grant agreement no. 291763. **Acknowledgments:** J.C.J. acknowledges [PERSON] from the LSCE/IPSL for processing the scPDSI. A.O.C. acknowledges the provision of technical support by Gaia-liNc. The OCO-2 data were produced by the OCO-2 project at the Jet Propulsion Laboratory, California Institute of Technology, and obtained from the OCO-2 data archive maintained at the NASA Goddard Earth Science Data and Information Services Center. **Conflicts of Interest:** The authors declare no conflict of interest.