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Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence

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Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence

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dc.contributor.author Zhang, Zhaoying es_ES
dc.contributor.author Zhang, Yongguang es_ES
dc.contributor.author Porcar-Castell, Albert es_ES
dc.contributor.author Joiner, Joanna es_ES
dc.contributor.author Guanter-Palomar, Luis María es_ES
dc.contributor.author Yang, Xi es_ES
dc.contributor.author Migliavacca, Mirco es_ES
dc.contributor.author Ju, Weimin es_ES
dc.contributor.author Sun, Zhigang es_ES
dc.contributor.author Chen, Shiping es_ES
dc.contributor.author Martini, David es_ES
dc.contributor.author Zhang, Qian es_ES
dc.contributor.author Li, Zhaohui es_ES
dc.contributor.author Cleverly, James es_ES
dc.contributor.author Wang, Hezhou es_ES
dc.contributor.author Goulas, Yves es_ES
dc.date.accessioned 2023-05-26T18:02:08Z
dc.date.available 2023-05-26T18:02:08Z
dc.date.issued 2020-04 es_ES
dc.identifier.issn 0034-4257 es_ES
dc.identifier.uri http://hdl.handle.net/10251/193648
dc.description.abstract [EN] Quantifying global photosynthesis remains a challenge due to a lack of accurate remote sensing proxies. Solar-induced chlorophyll fluorescence (SIF) has been shown to be a good indicator of photosynthetic activity across various spatial scales. However, a global and spatially challenging estimate of terrestrial gross primary production (GPP) based on satellite SIF remains unresolved due to the confounding effects of species-specific physical and physiological traits and external factors, such as canopy structure or photosynthetic pathway (C-3 or C-4). Here we analyze an ensemble of far-red SIF data from OCO-2 satellite and ground observations at multiple sites, using the spectral invariant theory to reduce the effects of canopy structure and to retrieve a structure-corrected total canopy SIF emission (SIFtotal). We find that the relationships between observed canopy-leaving SIF and ecosystem GPP vary significantly among biomes. In contrast, the relationships between SIFtotal and GPP converge around two unique models, one for C-3 and one for C-4 plants. We show that the two single empirical models can be used to globally scale satellite SIF observations to terrestrial GPP. We obtain an independent estimate of global terrestrial GPP of 129.56 +/- 6.54 PgC/year for the 2015-2017 period, which is consistent with the state-of-the-art data- and process-oriented models. The new GPP product shows improved sensitivity to previously undetected 'hotspots' of productivity, being able to resolve the double-peak in GPP due to rotational cropping systems. We suggest that the direct scheme to estimate GPP presented here, which is based on satellite SIF, may open up new possibilities to resolve the dynamics of global terrestrial GPP across space and time. es_ES
dc.description.sponsorship This research was financially supported by the National Key Research and Development Program of China (2019YFA0606601), International Cooperation and Exchange Programme between NSFC and DFG (41761134082), General Program of National Science Foundation of China (41671421), and Academy of Finland (288039). MM and DM received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 721995 (TRuStEE). MM and DM thank the Alexander von Humboldt foundation for supporting the research activity in Majadas de Tietar through the Max Planck Research Prize to Markus Reichstein. JJ was supported by NASA through the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program. This research was also supported by the Innovative and Practical Program of Graduate Student in Jiangsu Province (SJKY190037). The authors would thank NASA and the OCO-2 team for making the SIF dataset available. This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, TCOS-Siberia, and USCCC. The ERA-Interim reanalysis data are provided by ECMWF and processed by LSCE. The FLUXNET eddy covariance data processing and harmonization was carried out by the European Fluxes Database Cluster, AmeriFlux Management Project, and Fluxdata project of FLUXNET, with the support of CDIAC and ICOS Ecosystem Thematic Center, and the OzFlux, ChinaFlux and AsiaFlux offices. The USDA-ARS supported Cook Agronomy Farm Long-Term Agro-ecosystem Research site provided data for this work. Support for the Reynolds Creek Critical Zone Observatory Cooperative is provided by USDA ARS and NSF Grant #EAR 1331872. OCO-2 SIF product (V8r) is available at https://disc.gsfc.nasa.gov/.TRENDY S3 GPP data from Dr. S. Sitch(s.a.sitch@exeter.ac.uk) upon request. FLUXCOM GPP is available from Dr. Martin Jung (mjung@bgc-jena.mpg.de).VPM GPP is available at https://doi.org/10.6084/m9.figshare.c.3789814.The global C3/C4 map was obtained from Dr. Martin Jung (mjung@bgc-jena.mpg.de) upon request. MCD12C1, MCD15A2H, and MCD43A1 are available at https://search.earthdata.nasa.gov/.We greatly appreciate the anonymous reviewers for their insightful and constructive comments that helped us to improve our manuscript. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Remote Sensing of Environment es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Photosynthesis es_ES
dc.subject Photosynthetic pathway es_ES
dc.subject Chlorophyll fluorescence es_ES
dc.subject Canopy structure es_ES
dc.subject Spectral invariant theory es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.rse.2020.111722 es_ES
dc.relation.projectID info:eu-repo/grantAgreement//NKRDPC/2019YFA0606601/CN
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/721995/EU/Training on Remote Sensing for Ecosystem modElling/TRuStEE
dc.relation.projectID info:eu-repo/grantAgreement/AKA//288039/FI
dc.relation.projectID info:eu-repo/grantAgreement//NSFC/41761134082/CN
dc.relation.projectID info:eu-repo/grantAgreement//NSFC/41671421/CN
dc.relation.projectID info:eu-repo/grantAgreement//Scientific Innovation Research of College Graduate in Jiangsu Province of China/SJKY190037/CN
dc.relation.projectID info:eu-repo/grantAgreement//NSF/EAR 1331872/EEUU
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Zhang, Z.; Zhang, Y.; Porcar-Castell, A.; Joiner, J.; Guanter-Palomar, LM.; Yang, X.; Migliavacca, M.... (2020). Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence. Remote Sensing of Environment. 240:1-17. https://doi.org/10.1016/j.rse.2020.111722 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.rse.2020.111722 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 17 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 240 es_ES
dc.relation.pasarela S\434484 es_ES
dc.contributor.funder National Science Foundation, China
dc.contributor.funder National Key Research and Development Program of China
dc.contributor.funder National Science Foundation, EEUU
dc.contributor.funder National Natural Science Foundation of China
dc.contributor.funder Alexander von Humboldt Foundation
dc.contributor.funder Scientific Innovation Research of College Graduate in Jiangsu Province of China
dc.contributor.funder Academy of Finland
dc.contributor.funder United States Department of Agriculture, Agricultural Research Service


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