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dc.contributor.authorLiang, B
dc.contributor.authorLiu, H
dc.contributor.authorChen, X
dc.contributor.authorZhu, X
dc.contributor.authorCressey, EL
dc.contributor.authorQuine, TA
dc.date.accessioned2021-03-24T10:50:30Z
dc.date.issued2020-06-03
dc.description.abstractIn this paper, cross-spectrum analysis was used to verify the agreement of periodicity between the global LAI (leaf area index) and climate factors. The results demonstrated that the LAI of deciduous forests and permanent wetlands have high agreement with temperature, rainfall and radiation over annual cycles. A low agreement between the LAI and seasonal climate variables was observed for some of the temperate and tropical vegetation types including shrublands and evergreen broadleaf forests, possibly due to the diversity of vegetation and human activities. Across all vegetation types, the LAI demonstrated a large time lag following variation in radiation (>1 month), whereas relatively short lag periods were observed between the LAI and annual temperature (around 2 weeks)/rainfall patterns (less than 10 days), suggesting that the impact of radiation on global vegetation growth is relatively slow, which is in accord with the results of previous studies. This work can provide a benchmark of the phenological drivers in global vegetation, from the perspective of periodicity, as well as helping to parameterize and refine the DGVMs (Dynamic Global Vegetation Models) for different vegetation types.en_GB
dc.description.sponsorshipNational Natural Science Foundation of Chinaen_GB
dc.description.sponsorshipChina Scholarship Councilen_GB
dc.identifier.citationVol. 12, No. 11, article 1805en_GB
dc.identifier.doi10.3390/rs12111805
dc.identifier.grantnumber41790422en_GB
dc.identifier.grantnumber41771049en_GB
dc.identifier.grantnumber41471033en_GB
dc.identifier.urihttp://hdl.handle.net/10871/125216
dc.language.isoenen_GB
dc.publisherMDPIen_GB
dc.relation.urlhttp://www.geodata.cn/thematicView/GLASS.html
dc.rights© 2020 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_GB
dc.subjectcross-spectrum analysisen_GB
dc.subjecttime lag effecten_GB
dc.subjectphenologyen_GB
dc.subjectLAIen_GB
dc.subjecttemperatureen_GB
dc.subjectrainfallen_GB
dc.subjectradiationen_GB
dc.subjectperiodicityen_GB
dc.titlePeriodic relations between terrestrial vegetation and climate factors across the globeen_GB
dc.typeArticleen_GB
dc.date.available2021-03-24T10:50:30Z
dc.identifier.issn2072-4292
dc.descriptionThis is the final version. Available on open access from MDPI via the DOI in this record. en_GB
dc.descriptionThe GLASS LAI data from 1981 to 2014 were acquired from the Chinese National Earth System Science Data Sharing Infrastructure website (http://www.geodata.cn/thematicView/GLASS.html)en_GB
dc.identifier.journalRemote Sensingen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-06-01
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-06-03
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-03-24T10:38:47Z
refterms.versionFCDVoR
refterms.dateFOA2021-03-24T10:50:38Z
refterms.panelCen_GB


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© 2020 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/).
Except where otherwise noted, this item's licence is described as © 2020 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/).