Quantitative reconstructions of past land cover change - A basis for evaluating consequences of Global change for vegetation

过去土地覆盖变化的定量重建 - 评估全球植被变化后果的基础

• 批准号: 68175834
• 负责人: Professor Dr. Thomas Giesecke
• 金额: --
• 依托单位: Departement Fysische Geografie
• 依托单位国家: 德国
• 项目类别: Independent Junior Research Groups
• 财政年份: 2008
• 资助国家: 德国
• 起止时间: 2007-12-31 至 2014-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/68175834?language=en
• 关键词: Quantitative; reconstructions; past; land; cover

It is generally accepted, that Earth’s climate is warming and it is now important to evaluate the consequences for species distribution and biodiversity. Quantitative reconstructions of past vegetation change give unique insight into the drivers of vegetation change and allow the testing of models that can be used to predict future scenarios. The project main aims are (1) to improve and apply innovative methods of quantitative vegetation reconstruction and (2) to analyse and synthesise pollen data across Europe with a special focus on Germany, in order to find new insight into drivers of past vegetation change. The project will also produce new pollen productivity estimates, which are a prerequisite for quantitative reconstructions, through comparisons of pollen percentages as well as pollen accumulation rates to plant biomass. Quantitative reconstructions of vegetation cover shall be carried out across Europe and in detail on selected sites in Germany. These reconstructions will serve as comparisons for the results of the dynamic vegetation model LPG-GUESS run for the past using climate scenarios from atmospheric general circulation models. Pollen data will be compiled into maps of past abundance and analysed for population dynamics of selected wide spread species. Results of this project will improve our ability to forecast changes in species distributions and biodiversity which are important for forest management and nature conservation.

人们普遍认为，地球的气候正在变暖，现在重要的是评估物种分布和生物多样性的后果。对过去植被变化的定量重建提供了对植被变化驱动因素的独特见解，并允许测试可用于预测未来情景的模型。该项目的主要目标是（1）改进和应用定量植被重建的创新方法，（2）分析和综合欧洲各地的花粉数据，特别关注德国，以寻找对过去植被变化驱动因素的新见解。该项目还将通过比较花粉百分比以及花粉积累率与植物生物量来产生新的花粉生产力估计值，这是定量重建的先决条件。应在整个欧洲进行植被覆盖的定量重建，并在德国的选定地点进行详细重建。这些重建将作为动态植被模式LPG-GUESS运行的结果的比较，为过去使用大气环流模式的气候情景。将把花粉数据汇编成过去丰富程度的地图，并分析选定的广泛分布的物种的种群动态。该项目的结果将提高我们预测物种分布和生物多样性变化的能力，这对森林管理和自然保护至关重要。

项目成果

The effect of climate conditions on inter-annual flowering variability monitored by pollen traps below the canopy in Draved Forest, Denmark

• DOI: 10.1007/s00334-010-0253-3
• 发表时间: 2010-08
• 期刊: Vegetation History and Archaeobotany
• 影响因子: 2.5
• 作者: A. Nielsen;P. Møller;T. Giesecke;Beth Stavngaard;Sonia L. Fontana;R. Bradshaw

Towards mapping the late Quaternary vegetation change of Europe

• DOI: 10.1007/s00334-012-0390-y
• 发表时间: 2014-01-01
• 期刊: VEGETATION HISTORY AND ARCHAEOBOTANY
• 影响因子: 2.5
• 作者: Giesecke, Thomas;Davis, Basil;Bradshaw, Richard H. W.
• 通讯作者: Bradshaw, Richard H. W.

Evaluating the effect of flowering age and forest structure on pollen productivity estimates

• DOI: 10.1007/s00334-012-0373-z
• 发表时间: 2012-10
• 期刊: Vegetation History and Archaeobotany
• 影响因子: 2.5
• 作者: Isabelle Matthias;A. Nielsen;T. Giesecke

Insights into pollen source area, transport and deposition from modern pollen accumulation rates in lake sediments

• DOI: 10.1016/j.quascirev.2013.12.015
• 发表时间: 2014-03
• 期刊: Quaternary Science Reviews
• 影响因子: 4
• 作者: Isabelle Matthias;T. Giesecke

Pollen diversity captures landscape structure and diversity

• DOI: 10.1111/1365-2745.12404
• 发表时间: 2015-07
• 期刊: Journal of Ecology
• 影响因子: 5.5
• 作者: Isabelle Matthias;M. Semmler;T. Giesecke