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Article: Statistical and process-based modeling analyses of tree growth response to climate in semi-arid area of north central China: A case study of Pinus tabulaeformis

TitleStatistical and process-based modeling analyses of tree growth response to climate in semi-arid area of north central China: A case study of Pinus tabulaeformis
Authors
Issue Date2008
Citation
Journal Of Geophysical Research G: Biogeosciences, 2008, v. 113 n. 1 How to Cite?
AbstractStatistical modeling techniques and the Vaganov-Shashkin (VS) forward model of tree ring formation were used to investigate tree growth response of Pinus tabulaeformis to climate variations in semi-arid north central China. Both statistical and process-based modeling techniques were shown to be capable of simulating and evaluating climate-tree growth relationships for the study area, but the process-based VS model produced results that were more physically interpretable. Statistical modeling results indicate that both moisture and temperature have significant effects on tree growth during the growing season, with the most important months being May-August. The VS modeled results validated the above statistical modeling results, and further clarified the effects on tree growth of the seasonal distribution of temperature and soil moisture, soil moisture status prior to the growing season, and the start and end dates of the growing season. Under current and projected climate scenarios, our modeling results suggest significant tree growth reduction in north central China, and the possibility that regional forests may reduce their capacity to sequester carbon. Copyright 2008 by the American Geophysical Union.
Persistent Identifierhttp://hdl.handle.net/10722/180557
ISSN
2015 Impact Factor: 3.318
2015 SCImago Journal Rankings: 2.310
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorShi, JFen_US
dc.contributor.authorLiu, Yen_US
dc.contributor.authorVaganov, EAen_US
dc.contributor.authorLi, Jen_US
dc.contributor.authorCai, Qen_US
dc.date.accessioned2013-01-28T01:39:49Z-
dc.date.available2013-01-28T01:39:49Z-
dc.date.issued2008en_US
dc.identifier.citationJournal Of Geophysical Research G: Biogeosciences, 2008, v. 113 n. 1en_US
dc.identifier.issn0148-0227en_US
dc.identifier.urihttp://hdl.handle.net/10722/180557-
dc.description.abstractStatistical modeling techniques and the Vaganov-Shashkin (VS) forward model of tree ring formation were used to investigate tree growth response of Pinus tabulaeformis to climate variations in semi-arid north central China. Both statistical and process-based modeling techniques were shown to be capable of simulating and evaluating climate-tree growth relationships for the study area, but the process-based VS model produced results that were more physically interpretable. Statistical modeling results indicate that both moisture and temperature have significant effects on tree growth during the growing season, with the most important months being May-August. The VS modeled results validated the above statistical modeling results, and further clarified the effects on tree growth of the seasonal distribution of temperature and soil moisture, soil moisture status prior to the growing season, and the start and end dates of the growing season. Under current and projected climate scenarios, our modeling results suggest significant tree growth reduction in north central China, and the possibility that regional forests may reduce their capacity to sequester carbon. Copyright 2008 by the American Geophysical Union.en_US
dc.languageengen_US
dc.relation.ispartofJournal of Geophysical Research G: Biogeosciencesen_US
dc.titleStatistical and process-based modeling analyses of tree growth response to climate in semi-arid area of north central China: A case study of Pinus tabulaeformisen_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.doi10.1029/2007JG000547en_US
dc.identifier.scopuseid_2-s2.0-50549088162en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-50549088162&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume113en_US
dc.identifier.issue1en_US
dc.identifier.isiWOS:000254523700001-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridShi, JF=12753007400en_US
dc.identifier.scopusauthoridLiu, Y=35332273000en_US
dc.identifier.scopusauthoridVaganov, EA=14624628100en_US
dc.identifier.scopusauthoridLi, J=35272482700en_US
dc.identifier.scopusauthoridCai, Q=8082991700en_US

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