Tree-Ring-Recorded Drought Variability in the Northern Daxing’anling Mountains of Northeastern China
We developed two tree-ring width chronologies of Mongolian Scots pine ( Pinus sylvestris var. mongolica ) from the low elevation forest of the northern Daxing’anling Mountains of Inner Mongolia. Although the two chronologies come from different sampling sites, significant correlations existed among...
| Published in: | Forests |
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| Main Authors: | , , , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
MDPI AG
2018
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| Subjects: | |
| Online Access: | https://doi.org/10.3390/f9110674 https://doaj.org/article/ebdab2031e4d44e2b386b800494b9d6c |
| Summary: | We developed two tree-ring width chronologies of Mongolian Scots pine ( Pinus sylvestris var. mongolica ) from the low elevation forest of the northern Daxing’anling Mountains of Inner Mongolia. Although the two chronologies come from different sampling sites, significant correlations existed among the chronologies ( r = 0.318), and the first principal component (PC1) accounted for 65.9% of total variance over their common period 1792⁻2016. Climate-growth correlation analysis revealed that the previous June and July Palmer drought severity index (PDSI p6-7 ) was the main climatic factor controlling tree-ring growth. Using a linear regression model, we reconstructed the PDSI p6-7 for the past 225 years (1792⁻2016). The reconstruction satisfied required statistical calibration and validation tests, and represented 38.6% of the PDSI variance recorded by instruments over the period 1955⁻2016. Six wet and five dry periods were revealed during these 225 years. The drought of 1903⁻1927 was the most severe drought in the study area in the last 225 years. Comparison with other tree-ring-based moisture-sensitive sequences from nearby regions confirmed a high degree of confidence in our reconstruction. The results of a spatial climate correlation analysis with a gridded PDSI dataset revealed that our reconstructions contained strong regional drought signals for the southern Stanovoy Range and the northern Daxing’anling Mountains. The power spectrum revealed the existence of significant frequency cycles, which may be linked to large-scale atmospheric-oceanic variability, such as the El Niño-Southern Oscillation, solar activity, and the North Atlantic Oscillation. |
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