| 塞罕坝林区华北落叶松径向生长对气候变化的响应 |
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| 作者姓名： | 王小雪 王恒 张俊飞 冯泽军 安利伟 郭明明 |
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| 作者单位： | 河北农业大学林学院,河北保定071000 |
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| 基金项目： | 河北农业大学引进人才科研专项（YJ201943）； 河北农业大学大学生创新创业训练计划项目（2020117）； 亚太森林组织（APFNet）资助（2021P2-CHN）。 |
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| 摘 要： | 以塞罕坝林区天然华北落叶松（Larix principis-rupprechtii）林为研究对象，应用树木年轮学方法，分析快速升温前后华北落叶松年轮宽度指数与气象因子的相关性，探究气候变化对该区华北落叶松径向生长的影响。结果显示，塞罕坝地区于1987年发生升温突变；1950-1987年时段，华北落叶松径向生长对温度正响应，与5-6月均最高温达到显著关系；1987-2018年时段，华北落叶松表现出“响应分异现象”，与5-7月均最高温达到显著负相关，与8-9月均最高温由不显著正相关转变为极显著负相关。快速升温后，华北落叶松径向生长与7月降水呈显著正相关。升温突变后，华北落叶松径向生长开始受到生长季前期和生长季干旱胁迫。
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| 关 键 词： | 华北落叶松 年轮宽度指数 升温突变 干旱胁迫 |
| 收稿时间： | 2021-11-26 |
Response of the radial growth of Larix principis-rupprechtii to climate change in Saihanba Forestry Farm |
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| Authors: | WANG Xiaoxue WANG Heng ZHANG Junfei FENG Zejun AN Liwei GUO Mingming |
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| Institution: | College of Forestry,Hebei Agricultural University,Baoding 071000,China |
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| Abstract: | In order to explore the effect of climate change on tree radial growth of Larix principis-rupprechtii natural forest,traditional dendrology methods was used to analyze the correlation between the ring-width index of L.principis-rupprechtii and meteorological elements both before and after rapid warming in Saihanba Forestry Farm.The results showed that the dramatic and abrupt warming happened around 1987 in Saihanba Forestry Farm.From 1950 to 1987,the radial growth responded significantly positively to the maximum temperature from May to July.While from 1987 to 2018,the tree ring index of L.principis-rupprechtii showed“divergent response”.Tree radial growth was significantly negatively correlated with the maximum temperature in May and June.After 1987,the negative correlation between tree radial growth and the maximum temperature in August and September was extremely significant.In 1987-2018,it showed positive correlation with the precipitation in July.After the abrupt warming,L.principis-rupprechtii was subjected to drought stress in both the early growing season and the growing season in Saihanba area. |
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| Keywords: | Larix principis-rupprechtii annual ring width index temperature mutation drought stress |
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