A bioavailable strontium isoscape for Western Europe: A machine learning approach.
A bioavailable strontium isoscape for Western Europe: A machine learning approach.
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DOI：
10.1371/journal.pone.0197386
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发表时间：
2018
期刊：
影响因子：
3.7
通讯作者：
Davies GR
中科院分区：
文献类型：
--
作者：
Bataille CP;von Holstein ICC;Laffoon JE;Willmes M;Liu XM;Davies GR
锶同位素比值（87 Sr/86 Sr）作为一种地理定位工具，正受到越来越多的关注，目前已广泛应用于考古学、生态学和法医学研究。然而，他们的应用程序的来源需要开发的基线模型预测surgical 87 Sr/86 Sr的变化（“isoscape”）。已经提出了各种基于几何和基于过程的模型来建立陆地87 Sr/86 Sr等值线图，但在其目前的形式中，这些模型还不够成熟，无法与地理分配中使用的连续概率表面模型相结合。在这项研究中，我们的目标是克服这些局限性，并预测整个西欧的87 Sr/86 Sr的变化相结合的过程为基础的模型和一系列的遥感地理空间产品到一个回归框架。我们发现，随机森林回归显着优于其他常用的回归和插值方法，并有效地预测多尺度模式的87 Sr/86 Sr的变化占地质，地貌和大气控制。随机森林回归还提供了一个易于解释且灵活的框架，可以整合对87 Sr/86 Sr变异性的多尺度模式建模所需的不同类型的环境辅助变量。该方法可转换为不同的尺度和分辨率，并可应用于地方和全球两级现有的大量地理空间数据。在这项研究中产生的isoscape提供了最准确的87 Sr/86 Sr的预测，在西欧的生物可利用的锶（R2 = 0.58和RMSE = 0.0023）的日期，以及一个保守的估计，通过应用分位数回归森林的空间不确定性。我们预计，在这项研究中提出的方法结合越来越多的生物可利用的87 Sr/86 Sr数据和卫星地理空间产品将扩展的87 Sr/86 Sr地质剖面工具在物源应用的适用性。
Strontium isotope ratios (87Sr/86Sr) are gaining considerable interest as a geolocation tool and are now widely applied in archaeology, ecology, and forensic research. However, their application for provenance requires the development of baseline models predicting surficial 87Sr/86Sr variations (“isoscapes”). A variety of empirically-based and process-based models have been proposed to build terrestrial 87Sr/86Sr isoscapes but, in their current forms, those models are not mature enough to be integrated with continuous-probability surface models used in geographic assignment. In this study, we aim to overcome those limitations and to predict 87Sr/86Sr variations across Western Europe by combining process-based models and a series of remote-sensing geospatial products into a regression framework. We find that random forest regression significantly outperforms other commonly used regression and interpolation methods, and efficiently predicts the multi-scale patterning of 87Sr/86Sr variations by accounting for geological, geomorphological and atmospheric controls. Random forest regression also provides an easily interpretable and flexible framework to integrate different types of environmental auxiliary variables required to model the multi-scale patterning of 87Sr/86Sr variability. The method is transferable to different scales and resolutions and can be applied to the large collection of geospatial data available at local and global levels. The isoscape generated in this study provides the most accurate 87Sr/86Sr predictions in bioavailable strontium for Western Europe (R2 = 0.58 and RMSE = 0.0023) to date, as well as a conservative estimate of spatial uncertainty by applying quantile regression forest. We anticipate that the method presented in this study combined with the growing numbers of bioavailable 87Sr/86Sr data and satellite geospatial products will extend the applicability of the 87Sr/86Sr geo-profiling tool in provenance applications.
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影响因子：
3.5
作者：
Hartmann, Jens;Moosdorf, Nils
通讯作者：
Moosdorf, Nils
DOI：
10.1016/s1936-7961(07)00004-8
发表时间：
2008-01-01
期刊：
TRACKING ANIMAL MIGRATION WITH STABLE ISOTOPES
影响因子：
--
作者：
Bowen, Gabriel J.;West, Jason B.
通讯作者：
West, Jason B.
影响因子：
3.9
作者：
Bataille, Clement P.;Brennan, Sean R.;Bowen, Gabriel J.
通讯作者：
Bowen, Gabriel J.
影响因子：
5
作者：
Brennan, Sean R.;Schindler, Daniel E.
通讯作者：
Schindler, Daniel E.
影响因子：
3.9
作者：
Begueria, S.;Spanu, V.;Angulo-Martinez, M.
通讯作者：
Angulo-Martinez, M.