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Tree-ring analysis and modeling approaches yield contrary response of circumboreal forest productivity to climate change

机译:树木分析和建模方法循环森林生产力与气候变化的相反响应

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Circumboreal forest ecosystems are exposed to a larger magnitude of warming in comparison with the global average, as a result of warming-induced environmental changes. However, it is not clear how tree growth in these ecosystems responds to these changes. In this study, we investigated the sensitivity of forest productivity to climate change using ring width indices (RWI) from a tree-ring width dataset accessed from the International Tree-Ring Data Bank and gridded climate datasets from the Climate Research Unit. A negative relationship of RWI with summer temperature and recent reductions in RWI were typically observed in continental dry regions, such as inner Alaska and Canada, southern Europe, and the southern part of eastern Siberia. We then developed a multiple regression model with regional meteorological parameters to predict RWI, and then applied to these models to predict how tree growth will respond to twenty-first-century climate change (RCP8.5 scenario). The projections showed a spatial variation and future continuous reduction in tree growth in those continental dry regions. The spatial variation, however, could not be reproduced by a dynamic global vegetation model (DGVM). The DGVM projected a generally positive trend in future tree growth all over the circumboreal region. These results indicate that DGVMs may overestimate future wood net primary productivity (NPP) in continental dry regions such as these; this seems to be common feature of current DGVMs. DGVMs should be able to express the negative effect of warming on tree growth, so that they simulate the observed recent reduction in tree growth in continental dry regions.
机译:由于变暖诱导的环境变化,循环森林生态系统与全局平均水平相比,暴露于更大的变暖程度。但是,目前尚不清楚这些生态系统中的树增长如何响应这些变化。在这项研究中,我们研究了森林生产力与来自国际树木宽度数据集的环形宽度指数(RWI)从国际树木数据库和气候研究单位的网格宽度数据集访问的树木宽度数据集中使用环形宽度指数(RWI)的敏感性。 RWI与夏季温度和近期减少RWI的负面关系通常在大陆干燥地区观察,例如内阿拉斯加和加拿大,南欧和西伯利亚南部。然后,我们开发了一个具有区域气象参数的多元回归模型,以预测RWI,然后应用于这些模型,以预测树增长如何应对二十一世纪的气候变化(RCP8.5场景)。该预测显示在那些大陆干燥区域的树木生长中的空间变化和未来的连续降低。然而,空间变化不能通过动态全球植被模型(DGVM)再现。 DGVM在圆形地区的未来树增长中预计了一般积极的趋势。这些结果表明,DGVM可以在欧洲干燥区域(如这些)中高估未来的木材净初级生产率(NPP);这似乎是当前DGVM的常见特征。 DGVM应该能够表达升温对树的增长的负面影响,从而模拟了大陆干燥地区的近期树木增长的近期降低。

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