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作 者:Teng Li Jianfeng Peng Tsun Fung Au Jingru Li Jinbao Li Yue Zhang
机构地区:[1]School of Geography and Remote Sensing,Guangzhou University,Guangzhou 510006,People’s Republic of China [2]College of Geography and Environmental Science,Henan University,Kaifeng 475004,People’s Republic of China [3]Institute for Global Change Biology,School for Environment and Sustainability,University of Michigan,Ann Arbor,MI,USA [4]Department of Ecology and Evolutionary Biology,University of Michigan,Ann Arbor,MI,USA [5]Department of Geography,University of Hong Kong,Hong Kong SAR,People’s Republic of China [6]HKU Shenzhen Institute of Research and Innovation,Shenzhen 518057,People’s Republic of China
出 处:《Journal of Forestry Research》2024年第1期72-82,共11页林业研究(英文版)
基 金:This study was supported by the National Key Research and Development Program of China(No.2018YFA0605601);Hong Kong Research Grants Council(No.106220169);the National Natural Science Foundation of China(Nos.41671042,42077417,42105155,and 42201083);the National Geographic Society(No.EC-95776R-22).
摘 要:Tree-ring chronologies were developed for Sabina saltuaria and Abies faxoniana in mixed forests in the Qionglai Mountains of the eastern Tibetan Plateau.Climate-growth relationship analysis indicated that the two co-exist-ing species reponded similarly to climate factors,although S.saltuaria was more sensitive than A.faxoniana.The strong-est correlation was between S.saltuaria chronology and regional mean temperatures from June to November.Based on this relationship,a regional mean temperature from June to November for the period 1605-2016 was constructed.Reconstruction explained 37.3%of the temperature variance during th period 1961-2016.Six major warm periods and five major cold periods were identified.Spectral analysis detected significant interannual and multi-decadal cycles.Reconstruction also revealed the influence of the Atlantic Multi-decadal Oscillation,confirming its importance on climate change on the eastern Tibetan Plateau.
关 键 词:Tree-ring analysis Mixed forests DENDROCLIMATOLOGY Qionglai Mountains
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