Tree ring anatomy indices of Pinus Tabuliformis revealed the shifted dominant climate factor influencing potential hydraulic function in western Qinling Mountains

2021 ◽  
pp. 125881
Author(s):  
Yixue Hong ◽  
Lingnan Zhang ◽  
Xiaohong Liu ◽  
Amy Ny Aina Aritsara ◽  
Xiaomin Zeng ◽  
...  
Keyword(s):  
Tree Ring ◽  
Qinling Mountains ◽  
Climate Factor ◽  
Western Qinling ◽  
Pinus Tabuliformis

scholarly journals Tree-ring based temperature reconstruction for the west Qinling Mountains (China): linkages to the High Asia, solar activity and Pacific-Atlantic Ocean

2014 ◽  
Vol 41 (3) ◽  
pp. 234-244 ◽  
Author(s):  
Feng Chen ◽  
Yujiang Yuan ◽  
Wenshou Wei ◽  
Shulong Yu ◽  
Huaming Shang ◽  
...  
Keyword(s):  
Spatial Correlation ◽  
Tree Ring ◽  
Climatic Variability ◽  
Ring Width ◽  
Volcanic Eruptions ◽  
Temperature Reconstruction ◽  
Qinling Mountains ◽  
Western Qinling ◽  
Abies Faxoniana ◽  
High Asia

Abstract We developed a Faxon fir (Abies faxoniana) tree-ring width chronology at the timberline in the western Qinling Mountains, China. Herein February–July mean temperature was reconstructed for Zhouqu in the western Qinling Mountains back to AD 1650 based on the standard chronology. The climate/tree-growth model accounts for 43.5% of the instrumental temperature variance during the period 1972–2006. Spatial correlation analyses with the gridded temperature data shows that the temperature reconstruction captures regional climatic variations over central and southeast China, and strong teleconnections with the nearby High Asia. There is a good agreement with cold and warm periods previously estimated from tree-rings in Nepal, India and southwest China. The temperature re-construction indicates that there was pronounced cooling in Zhouqu during the Maunder Minimum (late 1600s to early 1700s). The cold period (1813–1827) of the temperature reconstruction coincide with the volcanic eruptions. Significant spectral peaks are found at 56.9, 22.3, 11.4, 2.9, 2.8, 2.6, 2.2 and 2.0 years. The spatial correlation patterns between our temperature reconstruction and SSTs of the Atlantic and Pacific Oceans suggest a connection between regional temperature variations and the atmospheric circulations. It is thus revealed that the chronology has enough potential to reconstruct the climatic variability further into the past.

Community Structure of Soil Macrofauna of Larix kaempferi Plantation in Western Qinling Mountains

2013 ◽  
Vol 19 (4) ◽  
pp. 611-617
Author(s):  
Jiliang LIU ◽  
Jing CAO ◽  
Xiaoyang ZHANG ◽  
Shijie LI ◽  
Chunlin PAN
Keyword(s):  
Community Structure ◽  
Larix Kaempferi ◽  
Qinling Mountains ◽  
Soil Macrofauna ◽  
Western Qinling

scholarly journals Distribution Modeling and Factor Correlation Analysis of Landslides in the Large Fault Zone of the Western Qinling Mountains: A Machine Learning Algorithm

2021 ◽  
Vol 13 (24) ◽  
pp. 4990
Author(s):  
Tianjun Qi ◽  
Yan Zhao ◽  
Xingmin Meng ◽  
Wei Shi ◽  
Feng Qing ◽  
...  
Keyword(s):  
Machine Learning ◽  
Spatial Distribution ◽  
Fault Zone ◽  
Roc Curve ◽  
Human Activities ◽  
Geological Structure ◽  
Machine Learning Algorithms ◽  
Qinling Mountains ◽  
Western Qinling ◽  
Landslide Distribution

The area comprising the Langma-Baiya fault zone (LBFZ) and the Bailongjiang fault zone (BFZ) in the Western Qinling Mountains in China is characterized by intensive, frequent, multi-type landslide disasters. The spatial distribution of landslides is affected by factors, such as geological structure, landforms, climate and human activities, and the distribution of landslides in turn affects the geomorphology, ecological environment and human activities. Here, we present the results of a detailed landslide inventory of the area, which recorded a total of 2765 landslides. The landslides are divided into three categories according to relative age, area, and type of movement. Sixteen factors related to geological structure, geomorphology, materials composition and human activities were selected and four machine learning algorithms were used to model the spatial distribution of landslides. The aim was to quantitatively evaluate the relationship between the spatial distribution of landslides and the contributing factors. Based on a comparison of model accuracy and the Receiver Operating Characteristic (ROC) curve, RandomForest (RF) (accuracy of 92%, area under the ROC of 0.97) and GradientBoosting (GB) (accuracy of 96%, area under the ROC curve of 0.97) were selected to predict the spatial distribution of unclassified landslides and classified landslides, respectively. The evaluation results reveal the following. The vegetation coverage index (NDVI) (correlation of 0.2, and the same below) and distance to road (DTR) (0.13) had the highest correlations with the distribution of unclassified landslides. NDVI (0.18) and the annual precipitation index (API) (0.14) had the highest correlations with the distribution of landslides of different ages. API (0.16), average slope (AS) (0.14) and NDVI (0.1) had the highest correlations with the landslide distribution on different scales. API (0.28) had the highest correlation with the landslide distribution based on different types of landslide movement.

scholarly journals Warm-season hydroclimate variability in Central China since 1866 AD and its relations with the East Asian Summer Monsoon: evidence from tree-ring earlywood width

2018 ◽  
Author(s):  
Yesi Zhao ◽  
Jiangfeng Shi ◽  
Shiyuan Shi ◽  
Xiaoqi Ma ◽  
Weijie Zhang ◽  
...  
Keyword(s):  
Tree Ring ◽  
Summer Monsoon ◽  
East Asian Summer Monsoon ◽  
Asian Summer Monsoon ◽  
East Asian ◽  
Central China ◽  
Qinling Mountains ◽  
Hydroclimate Variability ◽  
Asian Summer ◽  
Earlywood Width

Abstract. Historical hydroclimate records derived from tree-ring parameters are scarce in the core region of East Asian Summer Monsoon (EASM) in China, limiting our understanding of the inter-decadal hydroclimate variability of this region and its possible connections with the EASM. In this study, standard chronologies of total tree-ring width (TRW), earlywood width (EWW), and latewood width (LWW) were created using tree-ring samples of Pinus tabulaeformis in the eastern Qinling Mountains, Central China. The strongest growth-climate relationship was found between EWW and May–July self-calibrated Palmer Drought Severity Index (MJJ scPDSI). Therefore, a linear regression model, which explained 50.3 % of the variance in MJJ scPDSI (1951–2005), was developed to estimate the past MJJ scPDSI variations using EWW. The time series of MJJ scPDSI was extended back to the year 1866, and validated by independent hydroclimate series from nearby regions. Before the mid-1950s, the variations of MJJ scPDSI were in-phase with those of EASM intensity on decadal and longer timescales, suggesting that wet conditions would occur in the eastern Qinling Mountains when EASM was strengthened. Since the mid-1950s, however, the relationship has been out-of-phase. This phase change may be associated with an intensified dipole pattern of EASM precipitation.

Selenium Enrichment in Cambrian Stratabound Gold Deposits in the Western Qinling Mountains

2010 ◽  
Vol 71 (4) ◽  
pp. 423-432 ◽  
Author(s):  
Liu Jiajun ◽  
Zheng Minghua ◽  
Liu Jianming ◽  
Zhou Yufeng ◽  
Gu Xuexiang ◽  
...  
Keyword(s):  
Gold Deposits ◽  
Qinling Mountains ◽  
Western Qinling

scholarly journals Appropriate Removal of Forest Litter is Beneficial to Pinus tabuliformis Carr. Regeneration in a Pine and Oak Mixed Forest in the Qinling Mountains, China

Forests ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 735
Author(s):  
Xueying Huo ◽  
Dexiang Wang ◽  
Deye Bing ◽  
Yuanze Li ◽  
Haibin Kang ◽  
...  
Keyword(s):  
Activated Carbon ◽  
Seed Germination ◽  
Natural Regeneration ◽  
Mixed Forest ◽  
Forest Litter ◽  
Pine Forest ◽  
Qinling Mountains ◽  
Mixed Forests ◽  
Pinus Tabuliformis ◽  
Plant Ash

Research Highlights: Natural regeneration is important in pine–oak mixed forests (Pinus armandii Franch., Pinus tabuliformis Carr., and Quercus aliena Bl. var. acuteserrata Maxim.ex Wenz.), but allelopathy as a limiting factor has not been studied. Our research provides insights into allelopathy in pine–oak mixed forest litter. Background and Objectives: Allelopathy among tree species occupying the same ecological niche in mixed forests may adversely affect regeneration. We studied allelopathy in pine and oak forest litter to determine the effect on regeneration, whether it is offset by adding activated carbon or plant ash, and what allelopathic substances are present. Materials and Methods: We used laboratory seed culture and field seeding to determine pine and oak litter regeneration effects on P. tabuliformis and P. armandii in the Qinling Mountains, China. In the laboratory, we irrigated seeds with three different litter concentrations. A fourth treatment incorporated activated carbon. The field study established small quadrats in mixed forest to study how removing or retaining litter and spreading plant ash affected sown seeds. High performance liquid chromatography–mass spectrometry was used to compare differences in chemical substances in extracts with and without activated carbon. Results: Litter extracts significantly affected germination rates in both species. Seedling morphological and physiological indexes showed that litter extracts negatively affected growth in both species, but activated carbon alleviated this inhibitory effect on P. armandii. Forest stand and litter did not affect P. armandii seed germination. Pinus tabuliformis germination rates were significantly higher in plots with removed litter than when litter was retained or plant ash spread, and lower in oak than pine forest. Allelopathic substances detected in pine forest were trioctyl trimellitate, amyloid β-Peptide 10–20, and triisobutyl phosphate, potentially affecting P. armandii seed germination and growth. Conclusions: Appropriate removal of litter in mixed forests can improve the natural regeneration ability of P. tabuliformis.

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