Last interglacial vegetation in northern Asia: Model simulations and comparison with pollen-based reconstructions
Last interglacial vegetation in northern Asia: Model simulations and comparison with pollen-based reconstructions
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亚洲北部最后一次间冰期植被：模型模拟以及与基于花粉的重建的比较
DOI：
10.1016/j.quaint.2013.10.041
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发表时间：
2014
影响因子：
2.2
通讯作者：
S. Müller
中科院分区：
文献类型：
--
作者：
M. Bergemann;S. Müller
这项研究涉及亚洲北部的植被建模及其与基于花粉的植被和气候重建的比较。借助全球生物地理平衡植被模型BIOME1，可以模拟北亚地区末次间冰期（LI）期间的植被动态。在该研究中，采用了计算湿度指数 (α) 的替代算法，并对最佳阶段 (125 ka BP) 和 LI 期结束 (115 ka BP) 的植被进行了建模。模拟显示，与现在相比，在 125 ka BP 时间段内，森林生物群落占据的面积增加了约 28%，在 115 ka BP 左右，森林占主导地位的区域减少了约 14%。与现在相比，125 ka BP 时间段的林木线平均偏北 4.05 ± 2.03°。模拟结果与可用的基于花粉的重建结果的比较表明，LI 时期最佳值的模拟结果和重建结果是一致的。通过两种计算湿度指数 α（即 α1 和 α2）的算法，树线在最佳值和 LI 周期结束之间向后移动 (∼10 ± 4.4°)。两次模拟中森林占据的面积平均下降了约 42%。此外，数据模型比较表明，利用新实施的湿度指数获得的建模结果与气候重建的一致性稍好一些。
This study is concerned with vegetation modelling in northern Asia and its comparison with pollen-based vegetation and climate reconstructions. With the help of BIOME1, a global biogeographic equilibrium vegetation model, vegetation dynamics during the last interglacial (LI) period in the northern Asian region can be simulated. In the study, an alternative algorithm to calculate a moisture index (α) is implemented, and the vegetation is modelled for the optimum phase (125 ka BP) and the end of the LI period (115 ka BP). The simulations show an approximately 28% increase in the area occupied by forest biomes for the 125 ka BP time-slice and an approximately 14% decrease in forest-dominated areas around 115 ka BP in comparison to today. Compared to the present day, the tree-line for the 125 ka BP time-slice was located on average 4.05 ± 2.03° further north. Comparison of the modelled results with available pollen-based reconstructions shows that the simulated and reconstructed results for the optimum of the LI period are consistent. With both algorithms calculating the moisture indexα, i.e.α1andα2, the tree line shifts back (∼10 ± 4.4°) between the optimum and the end of the LI period. The area occupied by forest in both simulations had declined by an average of ∼42%. Furthermore, the data-model comparison shows that the modelling results obtained with the newly implemented moisture index are in slightly better agreement with the climate reconstructions.