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公元1750年以来芬兰西南部作为古气候指标的植物物候数据和树木年轮

Plant phenological data and tree-rings as palaeoclimate indicators in south-west Finland since AD 1750.

作者信息

Holopainen Jari, Helama Samuli, Timonen Mauri

机构信息

iLEAPS Project, Division of Atmospheric Sciences, Department of Physical Sciences, University of Helsinki, P.O. Box 68, 00014, Helsinki, Finland.

出版信息

Int J Biometeorol. 2006 Sep;51(1):61-72. doi: 10.1007/s00484-006-0037-8. Epub 2006 Jun 20.

Abstract

Plant phenological data and tree-rings were tested for their palaeoclimatic value in south-west Finland since AD 1750. The information from fragmentary, partly overlapping, partly non-systematically biased plant phenological records of 14 different phenomena (a total of 3,144 observations) was combined into one continuous time series of phenological indices. All site- and phenomenon-specific series were standardized to present an average of zero and standard deviation of one. The mean phenomenon-specific series were then averaged as arithmetic means for annually resolved time series representing the variability in the particular plant phenomenon. Consequently, each phenomenon-specific mean series was based on spatially normalized site-specific index series. These series were compared to each other, living-tree and subfossil tree-rings, and to early and modern meteorological time series. Phenological indices showed strong positive correlation with February to June temperatures. On the other hand, the correlations between phenological indices and precipitation data were around zero. Analysis using time-dependent running correlations showed non-stationary relationship between the tree-rings and phenological indices and observed spring temperatures. The skill of phenological data for reconstructing the spring temperatures was statistically proved.

摘要

自公元1750年以来,对芬兰西南部的植物物候数据和树木年轮的古气候价值进行了测试。来自14种不同现象的零散、部分重叠、部分非系统性偏差的植物物候记录(总共3144次观测)的信息被合并为一个连续的物候指数时间序列。所有特定地点和现象的序列都进行了标准化处理,使其平均值为零,标准差为一。然后,将特定现象的平均序列作为算术平均值进行平均,以得到代表特定植物现象变异性的年度解析时间序列。因此,每个特定现象的平均序列都是基于空间归一化的特定地点指数序列。这些序列相互之间、与活树和亚化石树木年轮以及早期和现代气象时间序列进行了比较。物候指数与2月至6月的气温呈强正相关。另一方面,物候指数与降水数据之间的相关性约为零。使用时间相关的滑动相关性进行的分析表明,树木年轮与物候指数以及观测到的春季气温之间存在非平稳关系。物候数据重建春季气温的技能得到了统计学证明。

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