华中白云山松树海拔梯度上的气候与生长关系

IF 3.4 2区 农林科学 Q1 FORESTRY
Xiaoxu Wei, Jianfeng Peng, Jinbao Li, Jinkuan Li, Meng Peng, Xuan Li, Yameng Liu, Jiaxin Li
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引用次数: 0

摘要

摘要 在华中白云山沿海拔高度梯度(1450、1400和1350 m a.s.l.)建立了一套松树树环宽(TRW)、早材宽(EWW)和晚材宽(LWW)的标准年代学,以分析温度和降水变化对梯度生长的影响。相关性分析表明,在这三个海拔高度上,TRW和EWW年代学一般与当年4月和5月的平均气温和最高气温以及前一年7月和8月的最低气温呈显著负相关,但与当年5月的降水量呈显著正相关。LWW 年表与之前 7 月和 8 月的所有气温之间的相关性一般为明显的负相关,这表明之前的夏季气温对塔氏栉水母的生长有很强的滞后效应,并且随着海拔的升高而增加。与标准化降水蒸散指数(SPEI)的相关性证实,当年 5 月的潮湿条件促进了 TR 和 EW 在所有海拔高度的生长。在海拔 1400 米处,EWW 年代学与当年 4 月的 SPEI 呈显著正相关,而 LWW 年代学与当年 9 月的 SPEI 呈显著负相关,但这些相关性在海拔 1450 米处并不显著。移动相关结果表明,从 2002 年到 2018 年,在所有三个海拔高度上,EWW 与当年 5 月的 SPEI 之间以及 LWW 与当年 7-8 月的最高气温之间存在稳定的响应。1400米处的EWW年代学和1450米处的LWW年代学被认为更适合用于气候重建。这些结果为华中地区的森林管理决策和气候重建提供了有力的科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Climate-growth relationships of Pinus tabuliformis along an altitudinal gradient on Baiyunshan Mountain, Central China

Climate-growth relationships of Pinus tabuliformis along an altitudinal gradient on Baiyunshan Mountain, Central China

Abstract

A set of standard chronologies for tree-ring width (TRW), earlywood width (EWW) and latewood width (LWW) in Pinus tabuliformis Carr. along an altitudinal gradient (1450, 1400, and 1350 m a.s.l.) on Baiyunshan Mountain, Central China to analyze the effect of varying temperature and precipitation on growth along the gradient. Correlation analyses showed that at all three altitudes and the TRW and EWW chronologies generally had significant negative correlations with mean and maximum temperatures in the current April and May and with minimum temperatures in the prior July and August, but significant positive correlations with precipitation in the current May. Correlations were generally significantly negative between LWW chronologies and all temperatures in the prior July and August, indicating that the prior summer temperature had a strong lag effect on the growth of P. tabuliformis that increased with altitude. The correlation with the standardized precipitation evapotranspiration index (SPEI) confirmed that wet conditions in the current May promoted growth of TR and EW at all altitudes. Significant altitudinal differences were also found; at 1400 m, there were significant positive correlations between EWW chronologies and SPEI in the current April and significant negative correlations between LWW chronologies and SPEI in the current September, but these correlations were not significant at 1450 m. At 1350 m, there were also significant negative correlations between the TRW and the EWW chronologies and SPEI in the prior October and the current July and between LWW chronology and SPEI in the current August, but these correlations were not significant at 1400 m. Moving correlation results showed a stable response of EWW in relation to the SPEI in the current May at all three altitudes and of LWW to maximum temperature in the prior July–August at 1400 m from 2002 to 2018. The EWW chronology at 1400 m and the LWW chronology at 1450 m were identified as more suitable for climate reconstruction. These results provide a strong scientific basis for forest management decisions and climate reconstructions in Central China.

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来源期刊
CiteScore
7.30
自引率
3.30%
发文量
2538
期刊介绍: The Journal of Forestry Research (JFR), founded in 1990, is a peer-reviewed quarterly journal in English. JFR has rapidly emerged as an international journal published by Northeast Forestry University and Ecological Society of China in collaboration with Springer Verlag. The journal publishes scientific articles related to forestry for a broad range of international scientists, forest managers and practitioners.The scope of the journal covers the following five thematic categories and 20 subjects: Basic Science of Forestry, Forest biometrics, Forest soils, Forest hydrology, Tree physiology, Forest biomass, carbon, and bioenergy, Forest biotechnology and molecular biology, Forest Ecology, Forest ecology, Forest ecological services, Restoration ecology, Forest adaptation to climate change, Wildlife ecology and management, Silviculture and Forest Management, Forest genetics and tree breeding, Silviculture, Forest RS, GIS, and modeling, Forest management, Forest Protection, Forest entomology and pathology, Forest fire, Forest resources conservation, Forest health monitoring and assessment, Wood Science and Technology, Wood Science and Technology.
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