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Article: A Tree-Ring-Based Assessment of Pinus armandii Adaptability to Climate Using Two Statistical Methods in Mt. Yao, Central China during 1961–2016

TitleA Tree-Ring-Based Assessment of Pinus armandii Adaptability to Climate Using Two Statistical Methods in Mt. Yao, Central China during 1961–2016
Authors
Keywordstree-rings
Pinus armandii
adaptability
climatic response
Mt. Yao
Issue Date2021
PublisherMDPI AG. The Journal's web site is located at https://www.mdpi.com/journal/forests
Citation
Forests, 2021, v. 12 n. 6, p. article no. 780 How to Cite?
AbstractAssessing the characteristics and limiting factors of tree growth is of practical significance for environmental studies and climatic reconstruction, especially in climate transition zones. In this study, four sites of Pinus armandii Franeh are investigated to understand regional climate-tree growth response in Mt. Yao, central China. Based on the high similarity of four residual chronologies and high correlations between chronologies and climatic factors, we analyzed the correlations of regional residual chronology with monthly climatic factors and the self-calibrating Palmer Drought Severity Index (scPDSI) from 1961–2016. The results indicate that the hydrothermal combination of prior August and current May and the scPDSI in May are main limiting factors of regional tree growth in Mt. Yao. The results of stepwise regression models also show that temperature and scPDSI in May are the main limiting factors of tree growth, but the limiting effect of scPDSI is more than temperature in this month. Through the analysis of the number of tree growth years corresponding to high temperature and high scPDSI, it was further confirmed that scPDSI in May is the main limiting factor on the growth of P. armandii in Mt. Yao. However, the influence of scPDSI in May has weakened, while temperature in May has increasingly significant influence on tree growth. The above findings will help improve our understanding of forest dynamics in central China under global climate change.
Persistent Identifierhttp://hdl.handle.net/10722/304045
ISSN
2023 Impact Factor: 2.4
2023 SCImago Journal Rankings: 0.589
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPeng, J-
dc.contributor.authorLi, JR-
dc.contributor.authorLi, J-
dc.contributor.authorLi, X-
dc.contributor.authorCui, J-
dc.contributor.authorPeng, M-
dc.contributor.authorHuo, J-
dc.contributor.authorYang, L-
dc.date.accessioned2021-09-23T08:54:29Z-
dc.date.available2021-09-23T08:54:29Z-
dc.date.issued2021-
dc.identifier.citationForests, 2021, v. 12 n. 6, p. article no. 780-
dc.identifier.issn1999-4907-
dc.identifier.urihttp://hdl.handle.net/10722/304045-
dc.description.abstractAssessing the characteristics and limiting factors of tree growth is of practical significance for environmental studies and climatic reconstruction, especially in climate transition zones. In this study, four sites of Pinus armandii Franeh are investigated to understand regional climate-tree growth response in Mt. Yao, central China. Based on the high similarity of four residual chronologies and high correlations between chronologies and climatic factors, we analyzed the correlations of regional residual chronology with monthly climatic factors and the self-calibrating Palmer Drought Severity Index (scPDSI) from 1961–2016. The results indicate that the hydrothermal combination of prior August and current May and the scPDSI in May are main limiting factors of regional tree growth in Mt. Yao. The results of stepwise regression models also show that temperature and scPDSI in May are the main limiting factors of tree growth, but the limiting effect of scPDSI is more than temperature in this month. Through the analysis of the number of tree growth years corresponding to high temperature and high scPDSI, it was further confirmed that scPDSI in May is the main limiting factor on the growth of P. armandii in Mt. Yao. However, the influence of scPDSI in May has weakened, while temperature in May has increasingly significant influence on tree growth. The above findings will help improve our understanding of forest dynamics in central China under global climate change.-
dc.languageeng-
dc.publisherMDPI AG. The Journal's web site is located at https://www.mdpi.com/journal/forests-
dc.relation.ispartofForests-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjecttree-rings-
dc.subjectPinus armandii-
dc.subjectadaptability-
dc.subjectclimatic response-
dc.subjectMt. Yao-
dc.titleA Tree-Ring-Based Assessment of Pinus armandii Adaptability to Climate Using Two Statistical Methods in Mt. Yao, Central China during 1961–2016-
dc.typeArticle-
dc.identifier.emailLi, J: jinbao@hku.hk-
dc.identifier.authorityLi, J=rp01699-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3390/f12060780-
dc.identifier.scopuseid_2-s2.0-85108601832-
dc.identifier.hkuros325014-
dc.identifier.volume12-
dc.identifier.issue6-
dc.identifier.spagearticle no. 780-
dc.identifier.epagearticle no. 780-
dc.identifier.isiWOS:000666926800001-
dc.publisher.placeSwitzerland-

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