Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30059
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dc.contributor.authorMerrick, Trinaen_UK
dc.contributor.authorPau, Stephanieen_UK
dc.contributor.authorJorge, Maria Luisa S Pen_UK
dc.contributor.authorSilva, Thiago Sen_UK
dc.contributor.authorBennartz, Ralfen_UK
dc.date.accessioned2019-09-10T11:14:38Z-
dc.date.available2019-09-10T11:14:38Z-
dc.date.issued2019-07-24en_UK
dc.identifier.other1746en_UK
dc.identifier.urihttp://hdl.handle.net/1893/30059-
dc.description.abstractSolar-induced fluorescence (SIF) has been empirically linked to gross primary productivity (GPP) in multiple ecosystems and is thus a promising tool to address the current uncertainties in carbon fluxes at ecosystem to continental scales. However, studies utilizing satellite-measured SIF in South America have concentrated on the Amazonian tropical forest, while SIF in other regions and vegetation classes remain uninvestigated. We examined three years of Orbiting Carbon Observatory-2 (OCO-2) SIF data for vegetation classes within and across the six Brazilian biomes (Amazon, Atlantic Forest, Caatinga, Cerrado, Pampa, and Pantanal) to answer the following: (1) how does satellite-measured SIF differ? (2) What is the relationship (strength and direction) of satellite-measured SIF with canopy temperature (T can), air temperature (T air), and vapor pressure deficit (VPD)? (3) How does the phenology of satellite-measured SIF (duration and amplitude of seasonal integrated SIF) compare? Our analysis shows that OCO-2 captures a significantly higher mean SIF with lower variability in the Amazon and lower mean SIF with higher variability in the Caatinga compared to other biomes. OCO-2 also distinguishes the mean SIF of vegetation types within biomes, showing that evergreen broadleaf (EBF) mean SIF is significantly higher than other vegetation classes (deciduous broadleaf (DBF), grassland (GRA), savannas (SAV), and woody savannas (WSAV)) in all biomes. We show that the strengths and directions of correlations of OCO-2 mean SIF to T can , T air , and VPD largely cluster by biome: negative in the Caatinga and Cerrado, positive in the Pampa, and no correlations were found in the Pantanal, while results were mixed for the Amazon and Atlantic Forest. We found mean SIF most strongly correlated with VPD in most vegetation classes in most biomes, followed by T can. Seasonality from time series analysis reveals that OCO-2 SIF measurements capture important differences in the seasonal timing of SIF for different classes, details masked when only examining mean SIF differences. We found that OCO-2 captured the highest base integrated SIF and lowest seasonal pulse integrated SIF in the Amazon for all vegetation classes, indicating continuous photosynthetic activity in the Amazon exceeds other biomes, but with small seasonal increases. Surprisingly, Pantanal EBF SIF had the highest total integrated SIF of all classes in all biomes due to a large seasonal pulse. Additionally, the length of seasons only accounts for about 30% of variability in total integrated SIF; thus, integrated SIF is likely captures differences in photosynthetic activity separate from structural differences. Our results show that satellite measurements of SIF can distinguish important functioning and phenological differences in vegetation classes and thus has the potential to improve our understanding of productivity and seasonality in the tropics.en_UK
dc.language.isoenen_UK
dc.publisherMDPI AGen_UK
dc.relationMerrick T, Pau S, Jorge MLSP, Silva TS & Bennartz R (2019) Spatiotemporal Patterns and Phenology of Tropical Vegetation Solar-Induced Chlorophyll Fluorescence across Brazilian Biomes Using Satellite Observations. Remote Sensing, 11 (15), Art. No.: 1746. https://doi.org/10.3390/rs11151746en_UK
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectsatellite remote sensingen_UK
dc.subjecttropical vegetation functionen_UK
dc.subjectseasonalityen_UK
dc.subjecttropical foresten_UK
dc.subjecttime-series analysisen_UK
dc.subjectvapor pressure deficiten_UK
dc.subjectcanopy temperatureen_UK
dc.subjecttropical savannaen_UK
dc.subjecttropical grasslandsen_UK
dc.titleSpatiotemporal Patterns and Phenology of Tropical Vegetation Solar-Induced Chlorophyll Fluorescence across Brazilian Biomes Using Satellite Observationsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.3390/rs11151746en_UK
dc.citation.jtitleRemote Sensingen_UK
dc.citation.issn2072-4292en_UK
dc.citation.volume11en_UK
dc.citation.issue15en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderFundacao de Amparo A Pesquisa do Estado de Sao Paulo and Vanderbilt Universityen_UK
dc.author.emailc.m.allan@stir.ac.uken_UK
dc.citation.date24/07/2019en_UK
dc.contributor.affiliationVanderbilt Universityen_UK
dc.contributor.affiliationFlorida State Universityen_UK
dc.contributor.affiliationVanderbilt Universityen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationUniversity of Wisconsin-Madisonen_UK
dc.identifier.isiWOS:000482442800010en_UK
dc.identifier.scopusid2-s2.0-85070437750en_UK
dc.identifier.wtid1441784en_UK
dc.contributor.orcid0000-0001-8174-0489en_UK
dc.date.accepted2019-07-20en_UK
dcterms.dateAccepted2019-07-20en_UK
dc.date.filedepositdate2019-09-10en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMerrick, Trina|en_UK
local.rioxx.authorPau, Stephanie|en_UK
local.rioxx.authorJorge, Maria Luisa S P|en_UK
local.rioxx.authorSilva, Thiago S|0000-0001-8174-0489en_UK
local.rioxx.authorBennartz, Ralf|en_UK
local.rioxx.project20599005|Fundacao de Amparo A Pesquisa do Estado de Sao Paulo and Vanderbilt University|en_UK
local.rioxx.freetoreaddate2019-09-10en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2019-09-10|en_UK
local.rioxx.filenameMerrick-Etal-Remote-Sensing-2019-Spatiotemporal-Patterns-and-Phenology-of-Tropical-Vegetation.pdfen_UK
local.rioxx.filecount1en_UK
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