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[生物群落6000项目:古生物群落重建的最新进展]

[BIOME 6000 Project: latest advances of reconstructing palaeobiome].

作者信息

Ni J

机构信息

Laboratory of Quantitative Vegetation Ecology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093.

出版信息

Ying Yong Sheng Tai Xue Bao. 2000 Jun;11(3):465-71.

PMID:11767657
Abstract

Global change research needs the data about the past states of the Earth system, e.g., the pollen and plant macrofossil records for specified time slices (for example, the mid-Holocene interval, ca 6,000 aBP, and the last glacial maximun, LGM, ca 18,000 aBP). In the past, the utilization of these palaeoecological data is mostly scattered and point-fixed, and the reconstruction of palaeovegetation is often qualitatively descriptive. The establishment of international collaboration project BIOME 6000 (a global palaeovegetation mapping program) of the International Geosphere-Biosphere Project (IGBP) breaks a new approach for the synthesis and quantitative study of palaeoecological data. In the projescts The methodology of biomization for assigning palaeoeclogical records to biomes is emphasized, in which, plant pollen taxa are assigned to one or more plant functional types (PFTs) by collecting widely global palaeoecological records which have quality assurance, and by using PFT definition based on the principles of modern ecology. Through combining PFTs into biome types, the global synthesis of biomes reconstructed by using palaeoecological data can be realized. The biomization method might provide a benchmark for coupled atmosphere-biosphere. This trend will facilitate biome mapping for other time slices, and co-evolution of atmosphere-biosphere modeling and palaeodata synthesis and analysis will continue.

摘要

全球变化研究需要有关地球系统过去状态的数据,例如特定时间切片的花粉和植物大化石记录(例如,中全新世间隔,约6000年前,以及末次盛冰期,LGM,约18000年前)。过去,这些古生态数据的利用大多是分散的且固定于某些点,古植被重建往往是定性描述性的。国际地圈-生物圈计划(IGBP)的国际合作项目BIOME 6000(一项全球古植被绘图计划)的建立,为古生态数据的综合与定量研究开辟了一条新途径。在这些项目中,强调了将古生态记录分配到生物群落的生物群系划分方法,即通过收集全球范围内具有质量保证的古生态记录,并基于现代生态学原理使用植物功能类型(PFT)定义,将植物花粉分类群分配到一种或多种植物功能类型。通过将植物功能类型组合成生物群落类型,可以实现利用古生态数据重建生物群落的全球综合。生物群系划分方法可能为大气-生物圈耦合提供一个基准。这一趋势将促进其他时间切片的生物群落绘图,并且大气-生物圈建模与古数据综合分析的共同演化将持续下去。

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