Traditionally, the evaluation of pollen-based quantitative paleoclimate reconstructions focuses on the ability of calibration sets to infer present climatic conditions and/or the similarity between fossil and modern a...Traditionally, the evaluation of pollen-based quantitative paleoclimate reconstructions focuses on the ability of calibration sets to infer present climatic conditions and/or the similarity between fossil and modern assemblages. Objective criteria for choosing the most appropriate climate parameter(s) to be reconstructed at a specific site are thus lacking. Using a novel approach for testing the statistical significance of a quantitative reconstruction using random environmental data, in combination with the advantageous large environmental gradients, abundant vegetation types and comprehensive modern pollen databases in China, we describe a new procedure for pollen-based quantitative paleoclimatic reconstructions. First, the most significant environmental variable controlling the fossil pollen assemblage changes is identified. Second, a calibration set to infer changes in this targeted variable is built up, by limiting the modern ranges of other environmental variables. Finally, the pollen-based quantitative reconstruction is obtained and its statistical significance assessed. This novel procedure was used to reconstruct the mean annual precipitation(Pann) from Gonghai Lake in the Lvliang Mountains, and Tianchi Lake in the Liupan Mountains, on the eastern and western fringe of the Chinese Loess Plateau, respectively. Both Pann reconstructions are statistically significant(p<0.001), and a sound and stable correlation relationship exists in their common period, showing a rapid precipitation decrease since 3300 cal yr BP. Thus, we propose that this procedure has great potential for reducing the uncertainties associated with pollen-based quantitative paleoclimatic reconstructions in China.展开更多
传统的孢粉-古气候定量重建评估主要衡量校准集对现代气候状况的模拟结果或化石样品与校准集样品的可比程度,客观上导致特定地点重建气候参数的取舍缺少明确标准.基于国际上通过随机数据开展定量重建显著性检验的新方法,充分利用中国环...传统的孢粉-古气候定量重建评估主要衡量校准集对现代气候状况的模拟结果或化石样品与校准集样品的可比程度,客观上导致特定地点重建气候参数的取舍缺少明确标准.基于国际上通过随机数据开展定量重建显著性检验的新方法,充分利用中国环境梯度大、植被类型丰富、现代表土孢粉数据完善等优势,提出一种孢粉-古气候参数定量重建的新思路:首先确定控制化石孢粉组成变化最主要环境因子,随后通过限制其他环境因子来构造校准集以开展该因子的定量重建,最后完成重建结果显著性评估.将该思路应用于分别位于黄土高原东、西两侧的吕梁山公海和六盘山天池化石孢粉序列,所获得的年降水量P_(ann)定量重建不仅具有统计上的显著性(p<0.001),且相互间在共同时段表现出良好、稳定的相关关系,均指示了约3300cal a BP以来的东亚夏季风降水快速下降,显示其具备降低基于孢粉的古气候参数定量重建不确定性的较大潜力.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.41471162&41571182)the National Key R&D Program of China(Grant No.2017YFA0603402)
文摘Traditionally, the evaluation of pollen-based quantitative paleoclimate reconstructions focuses on the ability of calibration sets to infer present climatic conditions and/or the similarity between fossil and modern assemblages. Objective criteria for choosing the most appropriate climate parameter(s) to be reconstructed at a specific site are thus lacking. Using a novel approach for testing the statistical significance of a quantitative reconstruction using random environmental data, in combination with the advantageous large environmental gradients, abundant vegetation types and comprehensive modern pollen databases in China, we describe a new procedure for pollen-based quantitative paleoclimatic reconstructions. First, the most significant environmental variable controlling the fossil pollen assemblage changes is identified. Second, a calibration set to infer changes in this targeted variable is built up, by limiting the modern ranges of other environmental variables. Finally, the pollen-based quantitative reconstruction is obtained and its statistical significance assessed. This novel procedure was used to reconstruct the mean annual precipitation(Pann) from Gonghai Lake in the Lvliang Mountains, and Tianchi Lake in the Liupan Mountains, on the eastern and western fringe of the Chinese Loess Plateau, respectively. Both Pann reconstructions are statistically significant(p<0.001), and a sound and stable correlation relationship exists in their common period, showing a rapid precipitation decrease since 3300 cal yr BP. Thus, we propose that this procedure has great potential for reducing the uncertainties associated with pollen-based quantitative paleoclimatic reconstructions in China.
文摘传统的孢粉-古气候定量重建评估主要衡量校准集对现代气候状况的模拟结果或化石样品与校准集样品的可比程度,客观上导致特定地点重建气候参数的取舍缺少明确标准.基于国际上通过随机数据开展定量重建显著性检验的新方法,充分利用中国环境梯度大、植被类型丰富、现代表土孢粉数据完善等优势,提出一种孢粉-古气候参数定量重建的新思路:首先确定控制化石孢粉组成变化最主要环境因子,随后通过限制其他环境因子来构造校准集以开展该因子的定量重建,最后完成重建结果显著性评估.将该思路应用于分别位于黄土高原东、西两侧的吕梁山公海和六盘山天池化石孢粉序列,所获得的年降水量P_(ann)定量重建不仅具有统计上的显著性(p<0.001),且相互间在共同时段表现出良好、稳定的相关关系,均指示了约3300cal a BP以来的东亚夏季风降水快速下降,显示其具备降低基于孢粉的古气候参数定量重建不确定性的较大潜力.
