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Seasonal Divergent Tree Growth Trends and Growth Variability along Drought Gradient over Northeastern China

Authors :
Cicheng Zhang
Bingyan Hao
Xiaofei Jiang
Tingting Pei
Yuanqiao Li
Yaqin Tong
Fangzhong Shi
Yan Bai
Xiuchen Wu
Xiao-Yan Li
Xiaofan Yang
Pei Wang
Source :
Forests, Vol 10, Iss 1, p 39 (2019), Forests, Volume 10, Issue 1
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

With the increasing temperature and intensified drought, global climate change has profound impacts on tree growth in temperate regions, which consequently regulates terrestrial-atmosphere biogeochemical processes and biophysical feedbacks. Thus, increasing numbers of studies have addressed the long-term annual trends in tree growth and their response to climate change at diverse spatial scales. However, the potential divergence in tree growth trends and growth variability (represented by coefficient of variance) in different seasons across large-scale climate gradients remains poorly understood. Here, we investigated the tree growth trends and growth variability in different seasons across diverse drought conditions in forested regions over northeastern China during the period 1982&ndash<br />2015, using both remote sensing observations and in situ tree-ring measurements. We found clear seasonal divergence in tree growth trends during 1982&ndash<br />2015, and the apparent increase was mainly observed in spring and autumn, attributed mainly to the increase in spring temperature and autumn solar radiation, respectively, but not in summer. The magnitudes of increasing trends in tree growth decrease with the increase of the multi-year average dryness index (MAI) in semi-arid areas (1.5 &lt<br />MAI &lt<br />4.0) in all seasons. We further revealed that the interannual variability in tree growth was much larger in the semi-arid regions than in the humid and semi-humid regions in all seasons, and tree growth variability was significantly and negatively correlated with the variations in temperature and water deficit. Our findings improve our understanding of seasonal divergence in tree growth trends and provide new insights into spatial patterns in forest vulnerability in a warmer and drier climate.

Details

ISSN :
19994907
Volume :
10
Database :
OpenAIRE
Journal :
Forests
Accession number :
edsair.doi.dedup.....a7702903c3f77e072a548cd08299b2ba
Full Text :
https://doi.org/10.3390/f10010039