| 其他摘要 | 本研究通过对中国东北地区针叶树种的分析，重建了研究区平均最高气温和平均相对湿度变化序列；同时利用标准年表建立了区域年表，分析了不同研究区域树木的径向生长对全球气候系统变化的响应模式，并探讨了大尺度海-陆-气变化对该地区树木生长的影响。主要结论有以下几点：
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利用东北地区5个不同采样点的树轮样本，分别建立了千山01（QS01）、千山04（QS04）、千山综合（QSZH）、医巫闾山五峰林场（WFLC）、莫尔道嘎（MEDG）和呼中（HZ）的树轮宽度年表（STD、RES和ARS）。统计结果表明，各样点的STD年表质量可靠，适于进行树轮气候学研究。
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STD年表与气象站观测记录间相关分析结果表明：QS01、QS04和QSZH的STD年表与当年5–7月平均最高气温负响应最强，且相关具有明确的生物学意义，均满足气候重建的要求。WFLC的STD年表与当年6–9月平均相对湿度正响应最强，剔除异常值的1983年以后，其相关系数达到0.631（p<0.01），满足气候重建要求。HZ和MEDG的STD年表与器测记录之间存在一定的相关，具有一定的气候学意义，但达不到气候重建要求。另外，除了HZ的STD年表外，其它的STD年表均与PDSI存在一定的响应。
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基于QS01和QS04的STD年表，分别重建了QS01、QS04和QSZH地区当年5–7月平均最高气温。11年滑动平均结果表明三个重建的平均最高气温序列均存在多个高温和低温时段。
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基于WFLC的 STD年表重建了1876–2011年以来当年6–9月平均相对湿度。重建序列经过11年滑动后，平均相对湿度高于平均值的高湿时段有1898–1902，1919–1928和1932–1997；低于平均值的低湿时段有1881–1897，1903–1918，1929–1931和1998–2006。其中，1903–1918和1929–1931年的低湿时段，在其它研究中均发现是显著的干旱期。
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周期分析显示三个重建温度序列存在长尺度的葛氏周期，22年的太阳黑子活动
周期，以及较短尺度的ENSO周期和准两年波动，这些准周期的出现表明太阳活动和大尺度的海-气活动能够影响千山地区5–7月平均最高气温变化。而辽宁西部WFLC地区6–9月平均相对湿度序列存在较短尺度的ENSO周期和准两年波动，它更多的受到大尺度海-气活动的影响
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对比研究和区域气候场相关分析表明本研究重建的QS01、QS04和QSZH的三个温度序列和WFLC的平均相对湿度序列均具有一定的区域代表性。
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根据树轮标准年表变化特征，建立了各研究区的区域树轮年表（辽宁千山区域年表（PCAQS）、医巫闾山五峰林场区域年表（PCAWF）、呼中区域年表（PCAHZ）和莫尔道嘎区域年表（PCAME））。各个区域年表与大尺度气候代用指标（大气涛动和太阳活动指数）间的相互联系分析结果表明各个地区树木生长与大尺度的大气活动和太阳活动之间存在着一定的联系。
; This dissertation reconstructed the mean maximum temperature and relative humidity by tree ring from conifer in Northeast China. What’s more, we analysied response model of arboreal growth on global climate change and explored the effects of large scale land/ocean/ atmosphere change on regional climate by the regional chronology. The primary conclusions are as follows:
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The STD, RES and ARS chronologies were established for QS01, QS04, QSZH，WFLC, MEDG and HZ sites by tree-ring samples. The statistical analysis of the STD indicated chronologies were high-quality and was fit to study the dendroclimatology.
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There were significantly correlation between the STD chronologies and the mean maximum temperature (MMT) which is from May to July of the current year for QS01, QS04 and QSZH. The correlation coefficients meet the requirements for reconstruction of paleoclimatic by tree ring. And there was significantly response between the STD chronology and the mean relative moisture (MRH) which is from June to September of the current year for WFLC. After removing the year of 1983, the correlation is -0.631 (p<0.01), which meet the requirements for reconstruction of paleoclimatic. What’s more, there is a certain correlation between the record and the STD chronologies of HZ and MEDG that has important climatologically significance. Besides, except the STD chronologies of HZ, all of the STD chronologies were significantly correlation with PDSI which showed the response arboreal growth to PDSI.
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Based on the STD series, the MMT from May to July was reconstructed for QS01, QS04 and QSZH region. On a decadal scale, several warm/cold intervals were found in three reconstructed series.
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The MRH was reconstructed for May through September from 1876 to 2011 for WFLC. On a decadal scale, there were several high and low humidity periods. Three high humidity periods (above the mean), 1898–1902, 1919–1928 and 1832–1997; Four low humidity periods (below the mean) 1881–1897, 1903–1918, 1929–1931 and 1998–2006. It is especially noteworthy that the marked low humidity periods of 1900s–1910s and 1928–1931 were drought which was consistent with the results of some reconstruction.
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The power spectrum analyses revealed that three temperature reconstructions had Gleissberg cycle, 11-year sunspot cycle, ENSO cycle and the Tropospheric biennial oscillation (TBO). These cycles indicate that the May–July MMT in the Qianshan Mountains region was most likely affected by a large scale atmosphere-ocean interactions and solar activities. But the reconstructed MRH series existed ENSO cycle and the Tropospheric biennial oscillation (TBO), which suggested the June–September mean relative humidity in the WFLC region was most likely affected by a large scale atmosphere-ocean interactions.
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Contrastive study and spatial correlation analyses revealed that the MMT reconstructions (QS01, QS04 and QSZH) and the MRH reconstruction (WFLC) are regionally representative.
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Based on the statistical characteristics of the STD chronology, the regional climatic series of PCAQS, PCAWF, PCAHZ and PCAME was reconstructed. Correlation analyses between the regional climatic series and the large scale climatic systems (atmospheric oscillation and sun activities), suggests the tree growth is influenced by a larger scale atmospheric-oceanic and sun activities.
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