Changes in continental climate, vegetation, and weathering during the Cenozoic cooling as derived from proxy-data

根据代理数据得出的新生代冷却期间大陆气候、植被和风化的变化

• 批准号: 63178606
• 负责人: Professor Dr. Louis François
• 金额: --
• 依托单位: Laboratoire de Physique Atmosphérique et Planétaire (LPAP)
• 依托单位国家: 德国
• 项目类别: Research Units
• 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/63178606?language=en
• 关键词: Changes; continental; climate; vegetation; weathering

Within WP 1, vegetation and climate maps for selected time intervals of the Cenozoic are reconstructed using plant fossils (palynofloras and megafloras) as proxies. The climate maps will consider at least six different climatic parameters (mean annual, summer, winter temperature and precipitation) as estimated from the coexistence approach and leaf physiognomy techniques; the vegetation maps will be based on the biome approach in combination with numerical vegetation modeling as a tool for the additional data assimilation. In the evaluation of the climate and vegetation maps pole-to-equator and coast-to-innercontinent gradients will be of particular interest in order to better understand the role of the vegetation, of the hydrological cycle, of oceanic circulation and of the latitudinal energy transport in the Cenozoic climate systems. The results will also be used by WP 3, WP 4, and WP 5 to validate modeling results. Furthermore, the dynamic vegetation model will provide the geographic distributions of vegetation/soil carbon stocks and fluxes. In view of the data assimilation technique, these distributions will be consistent with the paleovegetation data. They will be used to estimate the export of soil organic matter to the river system and the ocean, as well as to evaluate the soil CO2 partial pressures, which in combination with paleoclimatic reconstructions (temperature, runoff), will allow the modeling of the distribution of weathering rates over the continents. The results will provide inorganic/organic carbon and alkalinity input fluxes to the ocean carbon cycle model of WP4.

在WP 1中，以植物化石（孢粉植物群和巨型植物群）为代用物，重建了新生代选定时间间隔的植被和气候图。气候图将考虑至少六种不同的气候参数（平均年、夏季、冬季温度和降水），这些参数是根据共存方法和叶片面相技术估计的；植被图将以生物群系方法为基础，结合数值植被模拟作为额外数据同化的工具。为了更好地理解新生代气候系统中植被、水循环、海洋环流和纬向能量输送的作用，在评估气候和植被图时，极至赤道和海岸至大陆内部的梯度将具有特别的意义。这些结果也将被WP 3、WP 4和WP 5用来验证建模结果。此外，动态植被模型将提供植被/土壤碳储量和通量的地理分布。考虑到数据同化技术，这些分布将与古植被资料相一致。它们将被用来估计土壤有机质向河流系统和海洋的输出，以及评估土壤二氧化碳分压，这与古气候重建（温度，径流）相结合，将允许对大陆风化率分布进行建模。该结果将为WP4的海洋碳循环模型提供无机/有机碳和碱度输入通量。