| 基于树轮宽度重建川西南137年秋冬季平均气温变化 |
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| 引用本文： | 谢成晟,李景吉,高苑苑,石松林,彭培好,杨兴,冯玮娜.基于树轮宽度重建川西南137年秋冬季平均气温变化[J].第四纪研究,2020(1):252-263. |
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| 作者姓名： | 谢成晟 李景吉 高苑苑 石松林 彭培好 杨兴 冯玮娜 |
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| 作者单位： | 成都理工大学地球科学学院;国家环境保护水土污染协同控制与联合修复重点实验室（成都理工大学）;地质灾害防治与地质环境保护国家重点实验室（成都理工大学）;成都理工大学旅游与城乡规划学院 |
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| 基金项目： | 地质灾害防治与地质环境保护国家重点实验室人才培养课题项目(批准号:SKLGP2018Z004);国家重点研究发展计划项目(批准号:2017YFC0505001);国家自然科学基金青年项目(批准号:41501060)共同资助。 |
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| 摘 要： | 在全球气候变暖背景下,青藏高原东南缘的川滇横断山高海拔地区秋冬季温度变化已经成为区域气候变化研究热点。为了更好地了解长时间尺度下秋冬季平均气温变化对树木生长的影响,本文运用泸沽湖地区丽江云杉(Picea likiangensis)树轮宽度资料,建立了标准年表。并基于气温与树轮宽度指数的关系,重建了过去137年来川西南地区的秋冬季平均气温波动历史。重建序列存在2个暖期(1911~1927 A.D.,1992~2015 A.D.)、1个冷期(1939~1991 A.D.)。与其他树轮序列、沉积记录及历史记录的比较和空间相关分析,显示重建结果可靠,且具有区域代表性。集合经验模态(EEMD)分解得到2 a、19 a和54 a的周期控制序列冷暖波动。厄尔尼诺-南方涛动(ENSO),太阳黑子,太平洋年代际涛动(PDO)和北大西洋涛动(NAO)可能是以上周期的驱动因子.
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| 关 键 词： | 气温重建 树木年轮 集合经验模态(EEMD) 川西南地区 |
TREE-RING WIDTH BASED AUTUMN AND WINTER MEAN TEMPERATURE RECONSTRUCTION AND ITS VARIATION OVER THE PAST 137 YEARS IN SOUTHWESTERN SICHUAN PROVINCE |
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| Xie Chengsheng,Li Jingji,Gao Yuanyuan,Shi Songlin,Peng Peihao,Yang Xing,Feng Weina.TREE-RING WIDTH BASED AUTUMN AND WINTER MEAN TEMPERATURE RECONSTRUCTION AND ITS VARIATION OVER THE PAST 137 YEARS IN SOUTHWESTERN SICHUAN PROVINCE[J].Quaternary Sciences,2020(1):252-263. |
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| Authors: | Xie Chengsheng Li Jingji Gao Yuanyuan Shi Songlin Peng Peihao Yang Xing Feng Weina |
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| Institution: | (College of Earth Science,Chengdu University of Technology,Chengdu 610059,Sichuan;State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil&Water Pollution(Chengdu University of Technology),Chengdu 610059,Sichuan;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(Chengdu University of Technology),Chengdu 610059,Sichuan;College of Tourism and Urban-Rural Planning,Chengdu University of Technology,Chengdu 610059,Sichuan) |
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| Abstract: | The mean temperature of autumn and winter of the past 137 years have been reconstructed for Lugu Lake region,southwestern Sichuan Province,using the Picea likiangensis tree-ring width chronology.A total of 62 cores from 30 living trees were extracted from two sampling sites area(WJD:27°47'N,100°50'E;3643 m a.s.l.and HYP:27°47'N,100°52'E;3613 m a.s.l.)in December,2018.All cores have been pre-processed,and prepared following standard dendrochronological techniques.And the LINTAB ring analyzer with accuracy of 0.01 mm was used to measure the tree-ring width of all cores.The quality of cross-dating was checked by using the COFECHA program,and it was found that the cross-dating quality of the two sampling sites was good,so all cores were combined for the establishment of the tree-ring chronology,with the code of WH.Finally,the standard chronology(STD)was developed by ARSTAN program for subsequent analysis.Climate-growth relationship analysis between tree ring width chronology and climate data showed that the non-growing season(from October of previous year until current year January)mean temperature was the main factor controlling tree-ring growth in the Lugu Lake,and the moisture states on the growth effect are non-significant.Accordingly we reconstructed the Oct-Jan mean temperature for the last 137 years in Southwestern Sichuan Province.The reconstruction explained 52.56%of the variance of the mean temperature(1960~2017 A.D.).The equation is checked by split calibration-verification test method and results were reliable as a whole.The reconstruction represents that there were two warm periods(1911~1927 A.D.and 1992~2015 A.D.)and one cold period(1939~1991 A.D)in the whole sequence.The temperature fluctuations of the reconstructed sequence were basically consistent with that of the CRU grided series,in addition,the reconstruction series in adjacent regions were basically consistent.Moreover,this result was also consistent with the sedimentary record of Lugu Lake,and there were corresponding meteorological disaster events recorded in history in each cold and warm period.All of above mentioned information demonstrated the reliability of reconstructed temperature.Spatial analysis showed that the reconstructed sequence can symbolize the mean temperature fluctuations during autumn and winter in the southwest of Sichuan,the large part of Yunnan,the Indo-China Peninsula and the China-Nepal border of the Himalayan Mountains.At the same time,the mean temperature variation was positively correlated with SST data of the low and mid latitude of Western Pacific as well as the North Atlantic.Through Ensemble Empirical Mode Decomposition(EEMD)analysis and variance contribution rate of each intrinsic Mode Function(IMF),the cold and warm fluctuations of the whole series that were controlled by 2 a,9 a and 54 a cycles.It is EI Niño-Southern Oscillation(ENSO),sunspot activity,Pacific Decadal Oscillation(PDO)and North Atlantic Oscillation(NAO)that are the possible driving factors of the cycles. |
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| Keywords: | temperature reconstruction tree ring EEMD southwestern Sichuan Province |
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