Tree Rings Reveal the Impact of Soil Temperature on Larch Growth in the Forest-Steppe of Siberia

Tree Rings Reveal the Impact of Soil Temperature on Larch Growth in the Forest-Steppe of Siberia
复制标题

DOI:
10.3390/f12121765
复制
发表时间:
2021-12-01
期刊:
影响因子:
2.9
通讯作者:
Krutovsky, Konstantin V.
Krutovsky, Konstantin V.
中科院分区:
农林科学2区
文献类型:
--
作者:
Belokopytova, Liliana V.;Zhirnova, Dina F.;Krutovsky, Konstantin V.

文献摘要

被引文献

相似文献

树木气候学主要关注树木生长对大气变量的响应。然而,树木的根部直接感知“地下气候”,可以预见,这对树木的生长同样重要。利用西伯利亚南部相距约140公里的两个气象站的数据来表征土壤温度的时空动态以及土壤温度与西伯利亚落叶松地上气候和树轮宽度(TRW)年表的统计关系。来自三个森林草原林。相关分析揭示了 TRW 与土壤温度的最大相关性随深度的延迟。空气和土壤(深度 20-80 厘米)的温度在站点之间具有很强且暂时稳定的相关性。据推测,最高气温在 7 月至 9 月(R = -0.46--0.64)和初冬(R = 0.39-0.52)期间影响最大​​。 4-8月树木年轮指数与40 cm深度土壤温度的相关性最大(40 cm处R=-0.49--0.59)。气象站和树轮站点相似的土壤特征有利于高相关性。基于 K 均值对单株树木的气候相关性进行聚类分析,揭示了由微场地条件、竞争和年龄驱动的树木分组。这些结果支持土壤温度相对于气温对于特定季节半干旱条件下落叶松生长的树状气候分析可能具有的优势。
Dendroclimatology has focused mainly on the tree growth response to atmospheric variables. However, the roots of trees directly sense the "underground climate," which can be expected to be no less important to tree growth. Data from two meteorological stations approximately 140 km apart in southern Siberia were applied to characterize the spatiotemporal dynamics of soil temperature and the statistical relationships of soil temperature to the aboveground climate and tree-ring width (TRW) chronologies of Larix sibirica Ledeb. from three forest-steppe stands. Correlation analysis revealed a depth-dependent delay in the maximum correlation of TRW with soil temperature. Temperatures of both the air and soil (depths 20-80 cm) were shown to have strong and temporally stable correlations between stations. The maximum air temperature is inferred to have the most substantial impact during July-September (R = -0.46--0.64) and early winter (R = 0.39-0.52). Tree-ring indices reached a maximum correlation with soil temperature at a depth of 40 cm (R = -0.49--0.59 at 40 cm) during April-August. High correlations are favored by similar soil characteristics at meteorological stations and tree-ring sites. Cluster analysis of climate correlations for individual trees based on the K-means revealed groupings of trees driven by microsite conditions, competition, and age. The results support a possible advantage of soil temperature over air temperature for dendroclimatic analysis of larch growth in semiarid conditions during specific seasons.