Abstract

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 70.5years, 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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.