influenceofclimaticfactorsontreeringmaximumlatewooddensityofpiceaschrenkianainxinjiangchina
文献类型：期刊论文
| 作者 | Sun Yu1; Wang Lili1 ; Yin Hong2
|
| 刊名 | frontiersofearthscience
 |
| 出版日期 | 2016 |
| 卷号 | 10期号:1页码:126 |
| ISSN号 | 2095-0195 |
| 英文摘要 | The influence of temperature and precipitation on maximum latewood density (MXD) was mainly discussed in this paper, based on the samples of Picea schrenkiana from the Manas River Basin, Xinjiang, China. The correlation analysis between MXD and instrumental records from the Shihezi Meteorological Station showed that the MXD was positively related to the mean maximum temperature throughout the growing season at high elevations. Comparatively, the ring-width at low altitudes was limited by the precipitation in May?June. The composite chronology by MXD sequences was highly correlated with the mean maximum temperature in July? August (r = 0.54, p 2.5) in the period of 1953?2008 A.D. or close to 1.5σ for 2?3 consecutive years. The response characteristics are linked with the semiarid climate in the study area. In a single year or consecutive years of extreme dryness, the lack of precipitation would limit the thickening of latewood cell walls and thus impact the MXD. All in all, if a MXD chronology is aimed to reconstruct temperature history, the moisture conditions at the sampling site should be considered prudently. |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/122973]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 作者单位 | 1.中国科学院地理科学与资源研究所 2.National Climate Center, China Meteorological Administration |
| 推荐引用方式 GB/T 7714 | Sun Yu,Wang Lili,Yin Hong. influenceofclimaticfactorsontreeringmaximumlatewooddensityofpiceaschrenkianainxinjiangchina[J]. frontiersofearthscience,2016,10(1):126. |
| APA | Sun Yu,Wang Lili,&Yin Hong.(2016).influenceofclimaticfactorsontreeringmaximumlatewooddensityofpiceaschrenkianainxinjiangchina.frontiersofearthscience,10(1),126. |
| MLA | Sun Yu,et al."influenceofclimaticfactorsontreeringmaximumlatewooddensityofpiceaschrenkianainxinjiangchina".frontiersofearthscience 10.1(2016):126. |
入库方式： OAI收割
来源：地理科学与资源研究所
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