کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8868312 1622097 2018 46 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Tree-ring based summer temperature regime reconstruction in XiaoXing Anling Mountains, northeastern China since 1772 CE
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
پیش نمایش صفحه اول مقاله
Tree-ring based summer temperature regime reconstruction in XiaoXing Anling Mountains, northeastern China since 1772 CE
چکیده انگلیسی
Long-term paleoclimatic variability based on high-resolution proxy records, such as tree-ring data, are scarce for the XiaoXing Anling Mountains of China. We developed a new tree-ring width chronology from Korean pine (Pinus koraiensis) spanning the period 1667-2015. Climate-growth correlation analysis revealed that early growing season temperature was the main climatic factor controlling tree-ring growth. June mean temperatures from 1772 to 2015 were reconstructed using the standard chronology. These results provide the first dendroclimatological reconstruction based on growing season temperature in the XiaoXing Anling Mountains. Reconstruction results explained 39.3% of climatic variance over the calibration period 1959-2015, and they indicated that the central XiaoXing Anling Mountains have experienced six major warm periods, five major cold periods, and several cold years that coincided with a sequence of major tropical volcanic eruptions. Temperature reconstructions have successfully captured the most recent climatic warming events and are consistent with other reconstructions from nearby regions on decadal timescales. Spatial climate correlation analyses with a gridded temperature dataset revealed that our temperature reconstructions contain strong regional temperature signals for the eastern Eurasian continent. Power spectrum revealed the existence of significant frequency cycles of variability at 2.0-2.3, 2.5-2.7, 2.9, 3.0, 3.4-4.5, 5.6, 7.2, 7.5-8.0, 8.2, 8.9, 9.9, 10.5-11.5, and 70.5 years, which may be linked to large-scale atmospheric-oceanic variability, such as the El Niño-Southern Oscillation, solar activity, and the Pacific Decadal Oscillation. This reconstruction improves our understanding of long-term temperature variation for the XiaoXing Anling Mountains of China, but it can also be used to predict tree growth dynamics within the study area.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Palaeogeography, Palaeoclimatology, Palaeoecology - Volume 495, 15 April 2018, Pages 13-23
نویسندگان
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