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Radial growth responses of two dominant conifers to climate in the Altai Mountains, Central Asia
Agricultural and Forest Meteorology ( IF 6.2 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.agrformet.2020.108297
Jian Kang , Shaowei Jiang , Jacques C. Tardif , Hanxue Liang , Shaokang Zhang , Jingye Li , Biyun Yu , Yves Bergeron , Sergio Rossi , Zhou Wang , Peng Zhou , Jian-Guo Huang

The boreal forests of Central Asia play a vital role in biodiversity protection and regional economic development. It is important to study potential changes in the growth dynamics of boreal species in a context of global change. In this study, we developed a network of 34 tree-ring chronologies for two tree species, Siberian larch (Larix sibirica Ledeb.) and Siberian pine (Pinus sibirica Du Tour). The network extended across a large latitudinal gradient (45°N to 55°N). Principal component analysis (PCA) was used to detect spatial patterns in tree radial growth during a common period 1943–2004. Results indicated an obvious clustering pattern with chronologies being divided into a northeastern (NR) and a southwestern (SR) region. Bootstrapped correlation analyses of regional climate versus aggregated chronologies showed that tree radial growth in both regions was positively associated with summer temperature (June and July). Tree radial growth in the northeastern region was however positively associated with early spring precipitation and spring Palmer Drought Severity Index (PDSI) whereas, in the southwestern region, it was characterized by negative correlations with early summer precipitation and summer PDSI. The warm pool El Niño-Southern Oscillation (WP ENSO) and North Atlantic Oscillation (NAO) regulated tree radial growth through their influence on regional precipitation and temperature. Results suggest that tree radial growth in the region may decline with future projected climate change. This study provides a more comprehensive understanding to tree growth-climate associations across Central Asia.



中文翻译:

中亚阿尔泰山脉两个主要针叶树对气候的径向生长响应

中亚的北方森林在生物多样性保护和区域经济发展中发挥着至关重要的作用。在全球变化的背景下研究北方物种生长动态的潜在变化非常重要。在这项研究中,我们为西伯利亚落叶松(Larix sibirica Ledeb。)和西伯利亚松树(Pinus sibirica)两种树种开发了一个由34个年轮年表组成的网络杜游)。网络延伸到较大的纬度梯度(45°N至55°N)。主成分分析(PCA)用于检测1943-2004年共同时期树木径向生长的空间格局。结果显示明显的聚类模式,按时间顺序分为东北(NR)和西南(SR)地区。对区域气候与总体年表的自相关分析表明,两个区域树木的径向生长与夏季温度(6月和7月)呈正相关。然而,东北地区树木的径向生长与早春降水和春季帕尔默干旱强度指数(PDSI)呈正相关,而在西南地区,其特征是与夏初降水和夏季PDSI呈负相关。厄尔尼诺-南方涛动(WP ENSO)和北大西洋涛动(NAO)的温水池通过它们对区域降水和温度的影响来调节树木的径向生长。结果表明,随着未来气候变化,该地区树木的径向生长可能会下降。这项研究为整个中亚的树木生长与气候之间的联系提供了更全面的理解。

更新日期:2021-01-01
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