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Article: Spatiotemporal variability of tree growth and its association with climate over Northwest China

TitleSpatiotemporal variability of tree growth and its association with climate over Northwest China
Authors
KeywordsClimate-Growthrelationship
Dendrochronology
Nw China
Spatial Clustering
Tree Growth
Issue Date2012
PublisherSpringer Verlag. The Journal's web site is located at http://link.springer-ny.com
Citation
Trees - Structure And Function, 2012, v. 26 n. 5, p. 1471-1481 How to Cite?
AbstractUnderstanding spatiotemporal tree growth variability and its associations with climate can provide key insights into forest dynamics in the context of global climate change. Here, we conduct a comprehensive investigation on 64 ring-width chronologies across the entire Northwest (NW) China to understand the regional patterns of tree growth and climate-growth relationships. Using rotated principal component analysis and hierarchical clustering analysis, we found that tree growth was mainly determined by the climate and could be classified into nine groups. Most of the tree-ring chronologies in NW China showed high correlations with moisture conditions in the current and previous growing seasons. After removing age-related growth trends, inter-annual tree growth patterns are supposed to be mainly determined by climate and climate-growth relationships. Since climate-growth relationships for most tree-ring chronologies in this arid region are similar, patterns of tree growth are mainly determined by climate variability. Within each group, the strength of the common signal increases under extreme climate conditions. Thus, climate plays a more important role in determining tree growth in extreme climate conditions relative to the non-climate factors, leading to more coherent growth patterns. © 2012 Springer-Verlag.
Persistent Identifierhttp://hdl.handle.net/10722/180602
ISSN
2015 Impact Factor: 1.706
2015 SCImago Journal Rankings: 0.718
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorFang, Ken_US
dc.contributor.authorGou, Xen_US
dc.contributor.authorChen, Fen_US
dc.contributor.authorCook, Een_US
dc.contributor.authorLi, Jen_US
dc.contributor.authorLi, Yen_US
dc.date.accessioned2013-01-28T01:40:11Z-
dc.date.available2013-01-28T01:40:11Z-
dc.date.issued2012en_US
dc.identifier.citationTrees - Structure And Function, 2012, v. 26 n. 5, p. 1471-1481en_US
dc.identifier.issn0931-1890en_US
dc.identifier.urihttp://hdl.handle.net/10722/180602-
dc.description.abstractUnderstanding spatiotemporal tree growth variability and its associations with climate can provide key insights into forest dynamics in the context of global climate change. Here, we conduct a comprehensive investigation on 64 ring-width chronologies across the entire Northwest (NW) China to understand the regional patterns of tree growth and climate-growth relationships. Using rotated principal component analysis and hierarchical clustering analysis, we found that tree growth was mainly determined by the climate and could be classified into nine groups. Most of the tree-ring chronologies in NW China showed high correlations with moisture conditions in the current and previous growing seasons. After removing age-related growth trends, inter-annual tree growth patterns are supposed to be mainly determined by climate and climate-growth relationships. Since climate-growth relationships for most tree-ring chronologies in this arid region are similar, patterns of tree growth are mainly determined by climate variability. Within each group, the strength of the common signal increases under extreme climate conditions. Thus, climate plays a more important role in determining tree growth in extreme climate conditions relative to the non-climate factors, leading to more coherent growth patterns. © 2012 Springer-Verlag.en_US
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://link.springer-ny.comen_US
dc.relation.ispartofTrees - Structure and Functionen_US
dc.subjectClimate-Growthrelationshipen_US
dc.subjectDendrochronologyen_US
dc.subjectNw Chinaen_US
dc.subjectSpatial Clusteringen_US
dc.subjectTree Growthen_US
dc.titleSpatiotemporal variability of tree growth and its association with climate over Northwest Chinaen_US
dc.typeArticleen_US
dc.identifier.emailLi, J: jinbao@hku.hken_US
dc.identifier.authorityLi, J=rp01699en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s00468-012-0721-8en_US
dc.identifier.scopuseid_2-s2.0-84866455444en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84866455444&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume26en_US
dc.identifier.issue5en_US
dc.identifier.spage1471en_US
dc.identifier.epage1481en_US
dc.identifier.isiWOS:000308860500006-
dc.publisher.placeGermanyen_US
dc.identifier.scopusauthoridFang, K=19640101200en_US
dc.identifier.scopusauthoridGou, X=7003498424en_US
dc.identifier.scopusauthoridChen, F=35271403600en_US
dc.identifier.scopusauthoridCook, E=7202259586en_US
dc.identifier.scopusauthoridLi, J=35272482700en_US
dc.identifier.scopusauthoridLi, Y=36025405800en_US

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