Bioavailable                          
                        87
                                                 Sr/                         
                        86
                                                 Sr in European soils: A baseline for provenancing studies

Jurian A. Hoogewerff; Clemens Reimann; Henriette Ueckermann; Robert Frei; Karin M. Frei; Thalita van Aswegen; Claudine Stirling; Malcolm Reid; Aaron Clayton; Anna Ladenberger; Stefano Albanese; Madelen Andersson; Rainer Baritz; A. Bel-Lan; Manfred Birke; Domenico Cicchella; Aleco Demetriades; Benedetto De Vivo; Enrico Dinelli; M. Duriš; A. Dusza-Dobek; O. A. Eggen; M. Eklund; V. Ernsten; P. Filzmoser; D. M.A. Flight; S. Forrester; M. Fuchs; U. Fügedi; A. Gilucis; M. Gosar; V. Gregorauskiene; W. De Groot; A. Gulan; J. Halamic̀; Edith Haslinger; P. Hayoz; R. Hoffmann; H. Hrvatovic; S. Husnjak; L. Janik; Greg Jordan; M. Kaminari; J. Kirby; J. Kivisilla; V. Klos; F. Krone; P. Kwecko; L. Kuti; Annamaria Lima; J. Locutura; D. P. Lucivjansky; Alan Mann; D. Mackovych; Jörg Matschullat; M. McLaughlin; B. I. Malyuk; R. Maquil; R. G. Meuli; G. Mol; P. Négrel; P. O’Connor; R. K. Oorts; R. T. Ottesen; A. Pasieczna; W. Petersell; S. Pfleiderer; M. Poňavič; S. Pramuka; C. Prazeres; U. Rauch; S. Radusinović; Clemens Reimann; Martiya Sadeghi; I. Salpeteur; R. Scanlon; A. Schedl; Andreas J. Scheib; I. Schoeters; P. Šefčik; E. Sellersjö; F. Skopljak; I. Slaninka; J. M. Soriano-Disla; A. Šorša; T. Stafilov; T. Tarvainen; V. Trendavilov; Paolo Valera; V. Verougstraete; D. Vidojević; A. Zissimos; Z. Zomeni

doi:10.1016/j.scitotenv.2019.03.387

Bioavailable ⁸⁷ Sr/ ⁸⁶ Sr in European soils: A baseline for provenancing studies

Jurian A. Hoogewerff, Clemens Reimann, Henriette Ueckermann, Robert Frei, Karin M. Frei, Thalita van Aswegen, Claudine Stirling, Malcolm Reid, Aaron Clayton, Anna Ladenberger, Stefano Albanese, Madelen Andersson, Rainer Baritz, A. Bel-Lan, Manfred Birke, Domenico Cicchella, Aleco Demetriades, Benedetto De Vivo, Enrico Dinelli, M. DurišA. Dusza-Dobek, O. A. Eggen, M. Eklund, V. Ernsten, P. Filzmoser, D. M.A. Flight, S. Forrester, M. Fuchs, U. Fügedi, A. Gilucis, M. Gosar, V. Gregorauskiene, W. De Groot, A. Gulan, J. Halamic̀, Edith Haslinger, P. Hayoz, R. Hoffmann, H. Hrvatovic, S. Husnjak, L. Janik, Greg Jordan, M. Kaminari, J. Kirby, J. Kivisilla, V. Klos, F. Krone, P. Kwecko, L. Kuti, Annamaria Lima, J. Locutura, D. P. Lucivjansky, Alan Mann, D. Mackovych, Jörg Matschullat, M. McLaughlin, B. I. Malyuk, R. Maquil, R. G. Meuli, G. Mol, P. Négrel, P. O’Connor, R. K. Oorts, R. T. Ottesen, A. Pasieczna, W. Petersell, S. Pfleiderer, M. Poňavič, S. Pramuka, C. Prazeres, U. Rauch, S. Radusinović, Clemens Reimann, Martiya Sadeghi, I. Salpeteur, R. Scanlon, A. Schedl, Andreas J. Scheib, I. Schoeters, P. Šefčik, E. Sellersjö, F. Skopljak, I. Slaninka, J. M. Soriano-Disla, A. Šorša, T. Stafilov, T. Tarvainen, V. Trendavilov, Paolo Valera, V. Verougstraete, D. Vidojević, A. Zissimos, Z. Zomeni

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Abstract

We present ⁸⁷ Sr/ ⁸⁶ Sr isotope ratios for ~1200 selected soil samples, collected by the GEMAS consortium from grazing (Gr) and agricultural (Ap) soils in Europe with the aim to better understand the strontium isotope distribution in the bioavailable fraction of the top-soil and its potential for provenancing applications. Spatial analysis shows that there is a clear distinction between coastal (<100 km) and non-coastal (>100 km) samples in their variance and that this variance is mirrored in the sodium concentration, suggesting an important but highly variable contribution from seaspray. We present two ⁸⁷ Sr/ ⁸⁶ Sr maps at 25 km × 25 km scale: one based solely on the measured data using a classical kriging approach and one based on a Random Forest model using complementary GEMAS data to predict the strontium isotope composition at the remaining 3000+ GEMAS sampling locations, including appropriate uncertainty assessment. Using a forensic Bayesian likelihood ratio approach, a tool was developed in R to create provenancing likelihood ratio maps. The maps delineate areas of high and low likelihood and allow investigators to direct their resources to areas of interest. For actual forensic case work either the measured or the modelled data can be used as reference data for the overall distribution of ⁸⁷ Sr/ ⁸⁶ Sr values in Europe.

Original language	English
Pages (from-to)	1033-1044
Number of pages	12
Journal	Science of the Total Environment
Volume	672
DOIs	https://doi.org/10.1016/j.scitotenv.2019.03.387
Publication status	Published - 1 Jul 2019

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10.1016/j.scitotenv.2019.03.387

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Hoogewerff, J. A., Reimann, C., Ueckermann, H., Frei, R., Frei, K. M., van Aswegen, T., Stirling, C., Reid, M., Clayton, A., Ladenberger, A., Albanese, S., Andersson, M., Baritz, R., Bel-Lan, A., Birke, M., Cicchella, D., Demetriades, A., De Vivo, B., Dinelli, E., ... Zomeni, Z. (2019). Bioavailable ⁸⁷ Sr/ ⁸⁶ Sr in European soils: A baseline for provenancing studies. Science of the Total Environment, 672, 1033-1044. https://doi.org/10.1016/j.scitotenv.2019.03.387

Hoogewerff, Jurian A. ; Reimann, Clemens ; Ueckermann, Henriette et al. / Bioavailable ⁸⁷ Sr/ ⁸⁶ Sr in European soils : A baseline for provenancing studies. In: Science of the Total Environment. 2019 ; Vol. 672. pp. 1033-1044.

@article{6370290d258242918f706a09abbd6bd8,

title = "Bioavailable 87 Sr/ 86 Sr in European soils: A baseline for provenancing studies",

abstract = " We present 87 Sr/ 86 Sr isotope ratios for ~1200 selected soil samples, collected by the GEMAS consortium from grazing (Gr) and agricultural (Ap) soils in Europe with the aim to better understand the strontium isotope distribution in the bioavailable fraction of the top-soil and its potential for provenancing applications. Spatial analysis shows that there is a clear distinction between coastal (<100 km) and non-coastal (>100 km) samples in their variance and that this variance is mirrored in the sodium concentration, suggesting an important but highly variable contribution from seaspray. We present two 87 Sr/ 86 Sr maps at 25 km × 25 km scale: one based solely on the measured data using a classical kriging approach and one based on a Random Forest model using complementary GEMAS data to predict the strontium isotope composition at the remaining 3000+ GEMAS sampling locations, including appropriate uncertainty assessment. Using a forensic Bayesian likelihood ratio approach, a tool was developed in R to create provenancing likelihood ratio maps. The maps delineate areas of high and low likelihood and allow investigators to direct their resources to areas of interest. For actual forensic case work either the measured or the modelled data can be used as reference data for the overall distribution of 87 Sr/ 86 Sr values in Europe. ",

keywords = "Archaeology, Baseline, European soils, Forensic science, Provenancing, Strontium isotopes",

author = "Hoogewerff, {Jurian A.} and Clemens Reimann and Henriette Ueckermann and Robert Frei and Frei, {Karin M.} and {van Aswegen}, Thalita and Claudine Stirling and Malcolm Reid and Aaron Clayton and Anna Ladenberger and Stefano Albanese and Madelen Andersson and Rainer Baritz and A. Bel-Lan and Manfred Birke and Domenico Cicchella and Aleco Demetriades and {De Vivo}, Benedetto and Enrico Dinelli and M. Duri{\v s} and A. Dusza-Dobek and Eggen, {O. A.} and M. Eklund and V. Ernsten and P. Filzmoser and Flight, {D. M.A.} and S. Forrester and M. Fuchs and U. F{\"u}gedi and A. Gilucis and M. Gosar and V. Gregorauskiene and {De Groot}, W. and A. Gulan and J. Halami{\`c} and Edith Haslinger and P. Hayoz and R. Hoffmann and H. Hrvatovic and S. Husnjak and L. Janik and Greg Jordan and M. Kaminari and J. Kirby and J. Kivisilla and V. Klos and F. Krone and P. Kwecko and L. Kuti and Annamaria Lima and J. Locutura and Lucivjansky, {D. P.} and Alan Mann and D. Mackovych and J{\"o}rg Matschullat and M. McLaughlin and Malyuk, {B. I.} and R. Maquil and Meuli, {R. G.} and G. Mol and P. N{\'e}grel and P. O{\textquoteright}Connor and Oorts, {R. K.} and Ottesen, {R. T.} and A. Pasieczna and W. Petersell and S. Pfleiderer and M. Po{\v n}avi{\v c} and S. Pramuka and C. Prazeres and U. Rauch and S. Radusinovi{\'c} and Clemens Reimann and Martiya Sadeghi and I. Salpeteur and R. Scanlon and A. Schedl and Scheib, {Andreas J.} and I. Schoeters and P. {\v S}ef{\v c}ik and E. Sellersj{\"o} and F. Skopljak and I. Slaninka and Soriano-Disla, {J. M.} and A. {\v S}or{\v s}a and T. Stafilov and T. Tarvainen and V. Trendavilov and Paolo Valera and V. Verougstraete and D. Vidojevi{\'c} and A. Zissimos and Z. Zomeni",

year = "2019",

month = jul,

day = "1",

doi = "10.1016/j.scitotenv.2019.03.387",

language = "English",

volume = "672",

pages = "1033--1044",

journal = "Science of the Total Environment",

issn = "0048-9697",

publisher = "Elsevier",

}

Hoogewerff, JA, Reimann, C, Ueckermann, H, Frei, R, Frei, KM, van Aswegen, T, Stirling, C, Reid, M, Clayton, A, Ladenberger, A, Albanese, S, Andersson, M, Baritz, R, Bel-Lan, A, Birke, M, Cicchella, D, Demetriades, A, De Vivo, B, Dinelli, E, Duriš, M, Dusza-Dobek, A, Eggen, OA, Eklund, M, Ernsten, V, Filzmoser, P, Flight, DMA, Forrester, S, Fuchs, M, Fügedi, U, Gilucis, A, Gosar, M, Gregorauskiene, V, De Groot, W, Gulan, A, Halamic̀, J, Haslinger, E, Hayoz, P, Hoffmann, R, Hrvatovic, H, Husnjak, S, Janik, L, Jordan, G, Kaminari, M, Kirby, J, Kivisilla, J, Klos, V, Krone, F, Kwecko, P, Kuti, L, Lima, A, Locutura, J, Lucivjansky, DP, Mann, A, Mackovych, D, Matschullat, J, McLaughlin, M, Malyuk, BI, Maquil, R, Meuli, RG, Mol, G, Négrel, P, O’Connor, P, Oorts, RK, Ottesen, RT, Pasieczna, A, Petersell, W, Pfleiderer, S, Poňavič, M, Pramuka, S, Prazeres, C, Rauch, U, Radusinović, S, Reimann, C, Sadeghi, M, Salpeteur, I, Scanlon, R, Schedl, A, Scheib, AJ, Schoeters, I, Šefčik, P, Sellersjö, E, Skopljak, F, Slaninka, I, Soriano-Disla, JM, Šorša, A, Stafilov, T, Tarvainen, T, Trendavilov, V, Valera, P, Verougstraete, V, Vidojević, D, Zissimos, A & Zomeni, Z 2019, 'Bioavailable ⁸⁷ Sr/ ⁸⁶ Sr in European soils: A baseline for provenancing studies', Science of the Total Environment, vol. 672, pp. 1033-1044. https://doi.org/10.1016/j.scitotenv.2019.03.387

Bioavailable ⁸⁷ Sr/ ⁸⁶ Sr in European soils: A baseline for provenancing studies. / Hoogewerff, Jurian A.; Reimann, Clemens; Ueckermann, Henriette et al.
In: Science of the Total Environment, Vol. 672, 01.07.2019, p. 1033-1044.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Bioavailable 87 Sr/ 86 Sr in European soils

T2 - A baseline for provenancing studies

AU - Hoogewerff, Jurian A.

AU - Reimann, Clemens

AU - Ueckermann, Henriette

AU - Frei, Robert

AU - Frei, Karin M.

AU - van Aswegen, Thalita

AU - Stirling, Claudine

AU - Reid, Malcolm

AU - Clayton, Aaron

AU - Ladenberger, Anna

AU - Albanese, Stefano

AU - Andersson, Madelen

AU - Baritz, Rainer

AU - Bel-Lan, A.

AU - Birke, Manfred

AU - Cicchella, Domenico

AU - Demetriades, Aleco

AU - De Vivo, Benedetto

AU - Dinelli, Enrico

AU - Duriš, M.

AU - Dusza-Dobek, A.

AU - Eggen, O. A.

AU - Eklund, M.

AU - Ernsten, V.

AU - Filzmoser, P.

AU - Flight, D. M.A.

AU - Forrester, S.

AU - Fuchs, M.

AU - Fügedi, U.

AU - Gilucis, A.

AU - Gosar, M.

AU - Gregorauskiene, V.

AU - De Groot, W.

AU - Gulan, A.

AU - Halamic̀, J.

AU - Haslinger, Edith

AU - Hayoz, P.

AU - Hoffmann, R.

AU - Hrvatovic, H.

AU - Husnjak, S.

AU - Janik, L.

AU - Jordan, Greg

AU - Kaminari, M.

AU - Kirby, J.

AU - Kivisilla, J.

AU - Klos, V.

AU - Krone, F.

AU - Kwecko, P.

AU - Kuti, L.

AU - Lima, Annamaria

AU - Locutura, J.

AU - Lucivjansky, D. P.

AU - Mann, Alan

AU - Mackovych, D.

AU - Matschullat, Jörg

AU - McLaughlin, M.

AU - Malyuk, B. I.

AU - Maquil, R.

AU - Meuli, R. G.

AU - Mol, G.

AU - Négrel, P.

AU - O’Connor, P.

AU - Oorts, R. K.

AU - Ottesen, R. T.

AU - Pasieczna, A.

AU - Petersell, W.

AU - Pfleiderer, S.

AU - Poňavič, M.

AU - Pramuka, S.

AU - Prazeres, C.

AU - Rauch, U.

AU - Radusinović, S.

AU - Reimann, Clemens

AU - Sadeghi, Martiya

AU - Salpeteur, I.

AU - Scanlon, R.

AU - Schedl, A.

AU - Scheib, Andreas J.

AU - Schoeters, I.

AU - Šefčik, P.

AU - Sellersjö, E.

AU - Skopljak, F.

AU - Slaninka, I.

AU - Soriano-Disla, J. M.

AU - Šorša, A.

AU - Stafilov, T.

AU - Tarvainen, T.

AU - Trendavilov, V.

AU - Valera, Paolo

AU - Verougstraete, V.

AU - Vidojević, D.

AU - Zissimos, A.

AU - Zomeni, Z.

PY - 2019/7/1

Y1 - 2019/7/1

N2 - We present 87 Sr/ 86 Sr isotope ratios for ~1200 selected soil samples, collected by the GEMAS consortium from grazing (Gr) and agricultural (Ap) soils in Europe with the aim to better understand the strontium isotope distribution in the bioavailable fraction of the top-soil and its potential for provenancing applications. Spatial analysis shows that there is a clear distinction between coastal (<100 km) and non-coastal (>100 km) samples in their variance and that this variance is mirrored in the sodium concentration, suggesting an important but highly variable contribution from seaspray. We present two 87 Sr/ 86 Sr maps at 25 km × 25 km scale: one based solely on the measured data using a classical kriging approach and one based on a Random Forest model using complementary GEMAS data to predict the strontium isotope composition at the remaining 3000+ GEMAS sampling locations, including appropriate uncertainty assessment. Using a forensic Bayesian likelihood ratio approach, a tool was developed in R to create provenancing likelihood ratio maps. The maps delineate areas of high and low likelihood and allow investigators to direct their resources to areas of interest. For actual forensic case work either the measured or the modelled data can be used as reference data for the overall distribution of 87 Sr/ 86 Sr values in Europe.

AB - We present 87 Sr/ 86 Sr isotope ratios for ~1200 selected soil samples, collected by the GEMAS consortium from grazing (Gr) and agricultural (Ap) soils in Europe with the aim to better understand the strontium isotope distribution in the bioavailable fraction of the top-soil and its potential for provenancing applications. Spatial analysis shows that there is a clear distinction between coastal (<100 km) and non-coastal (>100 km) samples in their variance and that this variance is mirrored in the sodium concentration, suggesting an important but highly variable contribution from seaspray. We present two 87 Sr/ 86 Sr maps at 25 km × 25 km scale: one based solely on the measured data using a classical kriging approach and one based on a Random Forest model using complementary GEMAS data to predict the strontium isotope composition at the remaining 3000+ GEMAS sampling locations, including appropriate uncertainty assessment. Using a forensic Bayesian likelihood ratio approach, a tool was developed in R to create provenancing likelihood ratio maps. The maps delineate areas of high and low likelihood and allow investigators to direct their resources to areas of interest. For actual forensic case work either the measured or the modelled data can be used as reference data for the overall distribution of 87 Sr/ 86 Sr values in Europe.

KW - Archaeology

KW - Baseline

KW - European soils

KW - Forensic science

KW - Provenancing

KW - Strontium isotopes

UR - http://www.scopus.com/inward/record.url?scp=85064328061&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/bioavailable-87-sr-86-sr-european-soils-baseline-provenancing-studies

U2 - 10.1016/j.scitotenv.2019.03.387

DO - 10.1016/j.scitotenv.2019.03.387

M3 - Article

AN - SCOPUS:85064328061

SN - 0048-9697

VL - 672

SP - 1033

EP - 1044

JO - Science of the Total Environment

JF - Science of the Total Environment

ER -

Hoogewerff JA, Reimann C, Ueckermann H, Frei R, Frei KM, van Aswegen T et al. Bioavailable ⁸⁷ Sr/ ⁸⁶ Sr in European soils: A baseline for provenancing studies. Science of the Total Environment. 2019 Jul 1;672:1033-1044. doi: 10.1016/j.scitotenv.2019.03.387

Bioavailable ⁸⁷ Sr/ ⁸⁶ Sr in European soils: A baseline for provenancing studies

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