...
首页> 外文期刊>Quaternary Science Reviews: The International Multidisciplinary Review Journal >Refining mutual climatic range (MCR) quantitative estimates of palaeotemperature using ubiquity analysis
【24h】

Refining mutual climatic range (MCR) quantitative estimates of palaeotemperature using ubiquity analysis

机译:使用普遍性分析完善古气候的共同气候范围(MCR)定量估计

获取原文
获取原文并翻译 | 示例

摘要

The Mutual Climatic Range (MCR) method, originally developed in the early 1980s to derive quantified palaeotemperature estimates from fossil beetle assemblage data, is based on assessments of the relationships between the modern distributions of beetle species and instrumentally measured climatic gradients. However, the MCR approach is based on presence/absence beetle data only, with no information on the spatial variation in relative dominance/importance of beetle species within their present climate ranges. This means that beetle-climate relationships are more difficult to test using conventional, probabilistic statistical methods. It is also unlikely that beetles have a normal (Gaussian) distribution in climate space, and hence calibration methods developed for correcting MCR values for bias in raw data are also questionable. In this paper, the underlying statistical weaknesses in the MCR method are examined, while an alternative approach, Ubiquity Analysis, is introduced. It is concluded that this approach offers much potential for reducing the uncertainties associated with MCR estimates. (c) 2006 Elsevier Ltd. All rights reserved.
机译:互气候范围(MCR)方法最初是在1980年代初开发的,用于从化石甲虫组合数据中得出量化的古温度估计值,该方法基于对甲虫物种现代分布与仪器测量的气候梯度之间关系的评估。但是,MCR方法仅基于甲虫的存在/不存在数据,而没有关于甲虫物种在其当前气候范围内相对优势/重要性的空间变化的信息。这意味着使用常规的概率统计方法更难以测试甲虫与气候的关系。甲虫也不大可能在气候空间中具有正态(高斯)分布,因此开发用于校正MCR值以校正原始数据偏差的校准方法也值得怀疑。在本文中,研究了MCR方法中潜在的统计缺陷,同时介绍了一种替代方法“遍在性分析”。结论是,这种方法为减少与MCR估算有关的不确定性提供了很大的潜力。 (c)2006 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号