首页> 外文期刊>The New Phytologist >Sensitivity of leaf size and shape to climate: global patterns and paleoclimatic applications.Comments Comment in: New Phytol. 2011 May;190(3):514-7; PMID: 21496027
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Sensitivity of leaf size and shape to climate: global patterns and paleoclimatic applications.Comments Comment in: New Phytol. 2011 May;190(3):514-7; PMID: 21496027

机译:叶片大小和形状对气候的敏感性:全球格局和古气候应用。评论:新植物。 2011年5月; 190(3):514-7; PMID:21496027

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摘要

* Paleobotanists have long used models based on leaf size and shape to reconstruct paleoclimate. However, most models incorporate a single variable or use traits that are not physiologically or functionally linked to climate, limiting their predictive power. Further, they often underestimate paleotemperature relative to other proxies. * Here we quantify leaf-climate correlations from 92 globally distributed, climatically diverse sites, and explore potential confounding factors. Multiple linear regression models for mean annual temperature (MAT) and mean annual precipitation (MAP) are developed and applied to nine well-studied fossil floras. * We find that leaves in cold climates typically have larger, more numerous teeth, and are more highly dissected. Leaf habit (deciduous vs evergreen), local water availability, and phylogenetic history all affect these relationships. Leaves in wet climates are larger and have fewer, smaller teeth. Our multivariate MAT and MAP models offer moderate improvements in precision over univariate approaches (+/- 4.0 vs 4.8degreesC for MAT) and strong improvements in accuracy. For example, our provisional MAT estimates for most North American fossil floras are considerably warmer and in better agreement with independent paleoclimate evidence. * Our study demonstrates that the inclusion of additional leaf traits that are functionally linked to climate improves paleoclimate reconstructions. This work also illustrates the need for better understanding of the impact of phylogeny and leaf habit on leaf-climate relationships
机译:*古植物学家长期使用基于叶片大小和形状的模型来重建古气候。但是,大多数模型包含单个变量或使用与气候没有生理或功能联系的特征,从而限制了其预测能力。此外,相对于其他代理,它们经常低估古温度。 *在这里,我们对来自全球92个气候分布多样的站点的叶片与气候的相关性进行了量化,并探讨了潜在的混杂因素。建立了年平均温度(MAT)和年平均降水量(MAP)的多元线性回归模型,并将其应用于九种经过充分研究的化石植物群。 *我们发现,在寒冷的气候下,叶子通常具有更大,数量更多的牙齿,并且解剖程度更高。叶片习性(落叶与常绿),局部可用水量和系统发育史都影响这些关系。潮湿气候下的叶子较大,牙齿较少,较小。我们的多变量MAT和MAP模型相对于单变量方法(MAT的+/- 4.0与4.8°C)在精度上有适度的提高,并且在准确性方面有很强的提高。例如,我们对大多数北美化石植物群的MAT初步估计要温暖得多,并且与独立的古气候证据更好地吻合。 *我们的研究表明,包含与气候功能相关的其他叶片性状可改善古气候重建。这项工作还表明需要更好地了解系统发育和叶习性对叶-气候关系的影响

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