Reconstructing biomes from palaeoecological data: a general method and its application to European pollen data at 0 and 6 ka
Reconstructing biomes from palaeoecological data: a general method and its application to European pollen data at 0 and 6 ka
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DOI：
10.1007/bf00211617
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发表时间：
1996-02
期刊：
影响因子：
4.6
通讯作者：
I. Prentice;J. Guiot;B. Huntley;D. Jolly;R. Cheddadi
中科院分区：
文献类型：
--
作者：
I. Prentice;J. Guiot;B. Huntley;D. Jolly;R. Cheddadi
生物群系模型可以将大气环流模型的实验结果转化为潜在自然植被的全球地图。使用生物群系模型作为古气候模拟的诊断工具，可以产生与古生态（花粉和植物宏体化石）记录直接可比的地图，只要这些记录是“生物化的”，即以一致的方式分配给生物群系。本文介绍了一种基于模糊逻辑的花粉样品的客观生物化方法。花粉类型（分类群）被分配到一个或多个植物功能类型（PFT），然后根据其特征PFT列表依次计算每个生物群落的亲和力得分。花粉样本被分配到生物群系，它具有最高的亲和力，服从平局打破规则。现代花粉数据从表面样品，反映目前的植被在欧洲，被用来验证该方法。从过时的沉积物芯的花粉数据，然后用于重建欧洲的植被模式为6万年。重建显示系统的差异，从现在是与以前的解释一致。该方法已被证明是强大的人类对植被的影响，并提供了一个合理的方式来解释组合的花粉类型，没有今天的类似物。该方法需要最少的先验信息，因此同样适用于其他地区的丰富的植物区系，和/或密度较低的现代和化石花粉样品，比欧洲。
Biome models allow the results of experiments with atmospheric general circulation models to be translated into global maps of potential natural vegetation. The use of biome models as a diagnostic tool for palaeoclimate simulations can yield maps that are directly comparable with palaeoecological (pollen and plant macrofossil) records provided these records are “biomized”, i.e. assigned to biomes in a consistent way. This article describes a method for the objective biomization of pollen samples based on fuzzy logic. Pollen types (taxa) are assigned to one or more plant functional types (PFTs), then affinity scores are calculated for each biome in turn based on its list of characteristic PFTs. The pollen sample is assigned to the biome to which it has the highest affinity, subject to a tie-breaking rule. Modern pollen data from surface samples, reflecting present vegetation across Europe, are used to validate the method. Pollen data from dated sediment cores are then used to reconstruct European vegetation patterns for 6 ka. The reconstruction shows systematic differences from present that are consistent with previous interpretations. The method has proved robust with respect to human impacts on vegetation, and provides a rational way to interpret combinations of pollen types that do not have present-day analogs. The method demands minimal prior information and is therefore equally suitable for use in other regions with richer floras, and/or lower densities of available modern and fossil pollen samples, than Europe.