Soil-surface pollen assemblages and quantitative relationships with vegetation and climate from the Inner Mongolian Plateau and adjacent mountain areas of northern China
Soil-surface pollen assemblages and quantitative relationships with vegetation and climate from the Inner Mongolian Plateau and adjacent mountain areas of northern China
复制标题
内蒙古高原及北方山区土壤表层花粉组合及其与植被和气候的数量关系
DOI：
10.1016/j.palaeo.2020.109600
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发表时间：
2020-04
期刊：
影响因子：
--
通讯作者：
Yuzhen Ma
中科院分区：
文献类型：
--
作者：
Lina Liu;Wei Wang;Dongxue Chen;Zhimei Niu;Yuan Wang;Xianyong Cao;Yuzhen Ma
我们对采自内蒙古高原及中国北部邻近山区的396个土壤表层花粉样品进行了统计分析，以了解花粉-植被-气候的关系。指示种分析、典型对应分析(CCA)和增强回归树(BRT)分析结果表明：1)土壤-表层花粉组合可以区分荒漠、草原、草甸草原、凉爽阔叶林、凉爽针叶林和温带森林，但不能区分草原和森林草原；灌木和温带森林；温带阔叶林、温带针阔混交林和温带针叶林；3)年平均降水量(MAP)是影响土壤-地表花粉组合的最主要变量，也是最有希望进行定量重建的气候变量。利用加权平均偏最小二乘回归(WA-PLS)、现代模拟技术(MAT)和增强回归树(BRT)构建了一系列花粉气候校准集。在留一法交叉验证下，WA-PLS和MAT的性能优于BRT。与MAT模型相比，WA-PLS模型不太容易受到空间自相关性的影响，这使得WA-PLS模型通常是最佳选择。我们的土壤表面花粉数据将为东亚的现代花粉数据做出贡献。
We statistically analyzed 396 soil-surface pollen samples from the Inner Mongolian Plateau and its adjacent mountain areas of northern China to gain insights into pollen–vegetation–climate. The results of indicator species analysis, canonical correspondence analysis (CCA) and boosted regression tree (BRT) analysis suggest that: 1) soil-surface pollen assemblages can differentiate between desert, steppe, meadow steppe, cool broadleaved forest, cool conifer forest, and temperate forest, but fail to differentiate between steppe and forest steppe; shrub and temperate forest; and temperate broadleaved forest, temperate mixed conifer-broadleaved forest, and eurythermic conifer forest; 2) pollen taxa, with low percentages but frequent occurrences, strongly indicate presence in the vegetation; 3) mean annual precipitation (MAP) is the most dominant variable influencing soil-surface pollen assemblages and the most promising climate variable for quantitative reconstructions. Weighted averaging partial least squares regression (WA-PLS), modern analogue technique (MAT), and boosted regression trees (BRT) were used to construct a series of pollen-climate calibration sets. WA-PLS and MAT outperform BRT under leave-one-out cross-validation. WA-PLS models are less susceptible to spatial auto-correlation than MAT models, making WA-PLS models generally the best choice. Our soil-surface pollen data will contribute to modern pollen data in eastern Asia.
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DOI：
10.2307/2401710
发表时间：
1965-05
期刊：
--
影响因子：
--
作者：
K. Faegri;J. Iversen
通讯作者：
K. Faegri;J. Iversen
影响因子：
2.1
作者：
Richard J. Telford;Richard J. Telford;H. J. B. Birks;H. J. B. Birks;H. J. B. Birks
通讯作者：
Richard J. Telford;Richard J. Telford;H. J. B. Birks;H. J. B. Birks;H. J. B. Birks
影响因子：
1.9
作者：
L. Maher
通讯作者：
L. Maher
影响因子：
4
作者：
R. Telford;H. Birks
通讯作者：
R. Telford;H. Birks
DOI：
10.1007/978-94-007-2745-8_15
发表时间：
2012
期刊：
From the Bottom of the Heap
影响因子：
--
作者：
G. Simpson
通讯作者：
G. Simpson