Potential of VNIR spectroscopy for prediction of clay mineralogy and magnetic properties, and its paleoclimatic application to two contrasting Quaternary soil deposits

Potential of VNIR spectroscopy for prediction of clay mineralogy and magnetic properties, and its paleoclimatic application to two contrasting Quaternary soil deposits
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VNIR 光谱预测粘土矿物学和磁性的潜力及其在两种对比第四纪土壤沉积物中的古气候应用

DOI:
10.1016/j.catena.2019.104239
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发表时间:
2020
期刊:
影响因子:
6.2
通讯作者:
Ke Yin
Ke Yin
中科院分区:
农林科学1区
文献类型:
--
作者:
Lulu Zhao;Hanlie Hong;Qian Fang;Thomas J. Algeo;Chaowen Wang;Ming Li;Ke Yin

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土壤中的层状硅酸盐、铁氧化物(氧氢氧化物)和磁性矿物的性质可以对土壤风化强度和过去气候的变化做出反应。许多利用土壤矿物学进行的古气候重建只利用了这些矿物类型中的一种或两种,通常是为了限制分析工作或费用,从而避免了不同矿物学指标之间的比较。中国第四纪土壤沉积物为评估可见光和近红外反射光谱在土壤矿物分析、化学风化和古气候重建中的潜力提供了独特的机会。本文研究了中国北部的黄土-古土壤序列和中国南部的红壤沉积这两种风化程度不同的典型第四纪土壤类型。使用偏最小二乘回归(PLSR)和基于连续统去除的多元线性回归(MLRCR)方法,将土壤粘土和铁矿物学数据与VNIR数据进行了比较。由于光谱行为与粘土矿物组成和磁性密切相关,极低频红外光谱显示出分析弱风化到高度风化土壤的土壤风化和古气候重建的潜力。较高的矿物质浓度和较大的变异性都可以提高模型的预测能力。对于高度风化的红壤沉积物,对层状硅酸盐和非磁性铁氧化物的预测更准确,而对于黄土-古土壤,对土壤磁性的预测更准确。在未来的光谱土壤学和化学风化研究中,MLRCR方法确定的预报因子(D2200、D680和D900)和由PLSR方法限定的范围(650-700和2150-2250 nm)值得更多地关注。我们认为,VNIR光谱有可能取代一系列常见的矿物学分析,成为利用土壤-矿物性质重建古气候的一种替代和广泛适用的工具。这将大大减少实验的工作量和费用,并提高古气候研究的分辨率。
The properties of phyllosilicates, iron oxides (oxyhydroxides), and magnetic minerals in soils can respond to changes in pedogenic weathering intensity and past climate. Numerous paleoclimate reconstructions using soil mineralogy have made use of only one or two of these mineral types, generally in order to limit analytical effort or expense, thereby foregoing comparisons between different mineralogic proxies. Quaternary soil deposits in China afford a unique opportunity for assessing the potential of visible and near-infrared reflectance (VNIR) spectroscopy for analysis of soil minerals, chemical weathering, and paleoclimate reconstruction. Here, we investigated two typical Quaternary soil types exhibiting different weathering degrees, i.e., a loess-paleosol sequence in northern China and a red earth deposit in southern China. Clay and iron mineralogy from the soils was compared with VNIR data using partial least squares regression (PLSR) and continuum-removal-based multiple linear regression (MLRCR) approaches. VNIR spectra show potential for analysis of pedogenic weathering and paleoclimate reconstruction in weakly to highly weathered soils in that spectral behavior is strongly related to both clay-mineral composition and magnetic properties. Both higher concentrations of minerals and their wider variability can improve model predictive ability. Phyllosilicates and non-magnetic Fe-oxides are predicted more accurately for highly weathered red earth deposits, whereas soil magnetic properties are predicted more accurately for loess-paleosols. The predictors identified by the MLRCRmethod (D2200, D680, and D900) and the ranges constrained by the PLSR method (650–700 and 2150–2250 nm) deserve more attention in future studies of spectral pedology and chemical weathering. We suggest that VNIR spectroscopy has the potential to be an alternative and broadly applicable tool for reconstructing paleoclimate using soil-mineral properties, substituting for a series of common mineralogic analyses. This would significantly reduce the workload and expense of experiments and improve the resolution of paleoclimate studies.
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