000862504 001__ 862504 000862504 005__ 20210130001421.0 000862504 0247_ $$2doi$$a10.3390/geosciences9040151 000862504 0247_ $$2Handle$$a2128/22129 000862504 0247_ $$2WOS$$aWOS:000467305900006 000862504 0247_ $$2altmetric$$aaltmetric:58218744 000862504 037__ $$aFZJ-2019-02808 000862504 082__ $$a550 000862504 1001_ $$0P:(DE-HGF)0$$aGrießinger, Jussi$$b0$$eCorresponding author 000862504 245__ $$aA Dual Stable Isotope Approach Unravels Common Climate Signals and Species-Specific Responses to Environmental Change Stored in Multi-Century Tree-Ring Series from the Tibetan Plateau 000862504 260__ $$aBasel$$bMDPI$$c2019 000862504 3367_ $$2DRIVER$$aarticle 000862504 3367_ $$2DataCite$$aOutput Types/Journal article 000862504 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1556276296_17852 000862504 3367_ $$2BibTeX$$aARTICLE 000862504 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000862504 3367_ $$00$$2EndNote$$aJournal Article 000862504 520__ $$aTree-rings are recorders of environmental signals and are therefore often used to reconstruct past environmental conditions. In this paper, we present four annually resolved, multi-centennial tree-ring isotope series from the southeastern Tibetan plateau. The investigation site, where juniper and spruce trees jointly occur, is one of the highest known tree-stands in the world. Tree ring cellulose oxygen (δ18O) and carbon (δ13C) isotopes were analyzed for a common period of 1685–2007 AD to investigate climate–isotope relationships. Therefore, various climate parameters from a local meteorological station and from the CRU 4.02 dataset were used. Tree-ring δ18O of both species revealed highly significant sensitivities with a high degree of coherence to hydroclimate variables during the growing season. The obtained δ18O–climate relationships can even be retained using a species mean. In contrast, the individual δ13C series indicated a weaker and non-uniform response to the tested variables. Underlying species-specific responses and adaptations to the long-term trend in atmospheric CO2 bias even after a trend correction identified dominant environmental factors triggering the tree-ring δ13C at our site. However, analysis of individual intrinsic water-use efficiency in juniper and spruce trees indicated a species-specific adaptation strategy to climate change 000862504 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0 000862504 588__ $$aDataset connected to CrossRef 000862504 7001_ $$0P:(DE-HGF)0$$aBräuning, Achim$$b1 000862504 7001_ $$0P:(DE-HGF)0$$aHelle, Gerhard$$b2 000862504 7001_ $$0P:(DE-Juel1)129572$$aSchleser, Gerhard, Hans$$b3 000862504 7001_ $$00000-0001-7780-1525$$aHochreuther, Philipp$$b4 000862504 7001_ $$0P:(DE-HGF)0$$aMeier, Wolfgang$$b5 000862504 7001_ $$0P:(DE-HGF)0$$aZhu, Haifeng$$b6 000862504 773__ $$0PERI:(DE-600)2655946-8$$a10.3390/geosciences9040151$$gVol. 9, no. 4, p. 151 -$$n4$$p151 -$$tGeosciences$$v9$$x2076-3263$$y2019 000862504 8564_ $$uhttps://juser.fz-juelich.de/record/862504/files/geosciences-09-00151.pdf$$yOpenAccess 000862504 8564_ $$uhttps://juser.fz-juelich.de/record/862504/files/geosciences-09-00151.pdf?subformat=pdfa$$xpdfa$$yOpenAccess 000862504 909CO $$ooai:juser.fz-juelich.de:862504$$pdnbdelivery$$pVDB$$pVDB:Earth_Environment$$pdriver$$popen_access$$popenaire 000862504 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129572$$aForschungszentrum Jülich$$b3$$kFZJ 000862504 9131_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x0 000862504 9141_ $$y2019 000862504 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS 000862504 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0 000862504 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search 000862504 915__ $$0StatID:(DE-HGF)0112$$2StatID$$aWoS$$bEmerging Sources Citation Index 000862504 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal 000862504 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ 000862504 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection 000862504 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess 000862504 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC 000862504 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline 000862504 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List 000862504 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0 000862504 980__ $$ajournal 000862504 980__ $$aVDB 000862504 980__ $$aUNRESTRICTED 000862504 980__ $$aI:(DE-Juel1)IBG-3-20101118 000862504 9801_ $$aFullTexts