Forest type and height are important in shaping the altitudinal change of radial growth response to climate change
Forest type and height are important in shaping the altitudinal change of radial growth response to climate change
复制标题
森林类型和高度对于影响气候变化的径向生长响应的海拔变化非常重要
DOI：
10.1038/s41598-018-37823-w
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发表时间：
2019-02
影响因子：
4.6
通讯作者：
Chang Jinfeng
中科院分区：
文献类型：
--
作者：
Liang Penghong;Wang Xiangping;Sun Han;Fan Yanwen;Wu Yulian;Lin Xin;Chang Jinfeng
树木径向生长在不同的海拔梯度上对气候变化的响应是不同的，但生物因素(如森林类型、高度和密度)与气候梯度之间的相对作用尚不清楚。在中国东北地区沿大海拔梯度的15个样地上采样年轮，研究气候梯度、森林类型、树高、树木大小和密度对：(1)生长变异性[年表的平均敏感度(MS)和标准差(SD)]的影响；(2)年轮宽度指数(RW I)与历史气候的关系。我们使用基于BIC的模型选择和变量重要性来探索其海拔模式的主要驱动因素。结果表明：生长变异性和RWI值与气候的关系均随海拔高度变化显著。林高是MS和SD高度变化的最重要预测因子。对于RWI-气候关系，森林类型比气候梯度更重要，树高和树干密度是弱但必要的预测因子。我们发现生长对气候变化反应的高度差异不能仅用气候梯度来解释，并强调了研究生物因素(不同地理梯度上的气候变化)影响的必要性，以更好地理解森林对气候变化的反应。
Tree radial growth is widely found to respond differently to climate change across altitudinal gradients, but the relative roles of biotic factors (e.g. forest type, height and density) vs. climate gradient remain unclear. We sampled tree rings from 15 plots along a large altitudinal gradient in northeast China, and examined how climate gradient, forest type, height, tree size and density affect: (1) temporal growth variability [mean sensitivity (MS) and standard deviation (SD) of the chronologies], and (2) the relationship of ring width indices (RWI) with historical climate. We used BIC based model selection and variable importance to explore the major drivers of their altitudinal patterns. The results showed that: both growth variability and RWI-climate relationships changed significantly with altitude. Forest height was the most important predictor for altitudinal changes of MS and SD. For RWI-climate relationships, forest type was more important than climate gradient, while height and stem density were weak but necessary predictors. We showed that the altitudinal difference in growth response to climate change cannot be explained by climate gradient alone, and highlight the necessity to examine the influence of biotic factors (which covary with climate across geographic gradient) to better understand forest response to climate change.
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影响因子：
6.2
作者：
B. Poulter;N. Pederson;Hongyan Liu;Zaichun Zhu;R. D’Arrigo;P. Ciais;N. Davi;D. Frank;C. Leland
通讯作者：
B. Poulter;N. Pederson;Hongyan Liu;Zaichun Zhu;R. D’Arrigo;P. Ciais;N. Davi;D. Frank;C. Leland
东北长白山海拔梯度森林BIOME-BGC树木年代学试验
影响因子：
2.7
作者：
Yulian Wu;Xiangping Wang;Shuai Ouyang;Kai Xu;Bradford A. Hawkins;Osbert Jianxin Sun
通讯作者：
Osbert Jianxin Sun
DOI：
10.1007/s00468-012-0786-4
发表时间：
2013-02
期刊：
Trees
影响因子：
--
作者：
P. Weber;H. Bugmann;A. R. Pluess;L. Walthert;A. Rigling
通讯作者：
P. Weber;H. Bugmann;A. R. Pluess;L. Walthert;A. Rigling
影响因子：
3.7
作者：
Xiangping Wang;S. Ouyang;O. Sun;Jingyun Fang
通讯作者：
Xiangping Wang;S. Ouyang;O. Sun;Jingyun Fang
DOI：
10.1007/s00468-015-1178-3
发表时间：
2015-03
期刊：
Trees
影响因子：
--
作者：
C. Sidor;I. Popa;R. Vlad;P. Cherubini
通讯作者：
C. Sidor;I. Popa;R. Vlad;P. Cherubini