Using the geographic detector model to identify factors controlling the bioavailability of Sr isotopes in China
Strontium isotope ratios (87Sr/86Sr) are a widely applied tool in provenance applications in archaeology, paleoecology, forensics, and food science. Bedrock Sr is naturally and anthropogenically transferred to other reservoirs on the Earth’s surface through interactions with the hydrosphere, atmosph...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.1032578/full |
| _version_ | 1828070313552773120 |
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| author | Xueyan Zhang Xin Ma Xueye Wang |
| author_facet | Xueyan Zhang Xin Ma Xueye Wang |
| author_sort | Xueyan Zhang |
| collection | DOAJ |
| description | Strontium isotope ratios (87Sr/86Sr) are a widely applied tool in provenance applications in archaeology, paleoecology, forensics, and food science. Bedrock Sr is naturally and anthropogenically transferred to other reservoirs on the Earth’s surface through interactions with the hydrosphere, atmosphere, and biosphere. We attempt to reassess the contribution of the spatial distribution of bioavailable strontium isotopes using the geographic detector model (GDM). Our study reveals that the watershed factor explains 50.35% of the spatial variation of bioavailable Sr isotopes, while the climate, terrain, geology, and soil explain 14.41%, 4.94%, 4.63%, and 4.70% of the spatial variation of bioavailable Sr isotopes. The factors influencing the spatial variation of bioavailable Sr isotopes in China were ranked as follows: basin > climate > terrain > geology > soil type. The nonlinear enhancements of the interactions between the watershed and geology explained 59.90% of the spatial variation in bioavailable Sr isotopes, indicating that natural processes still control the bioavailability of strontium isotopes in China. Based on the synthesized river-water isotopic data, the large-scale bioavailable Sr isoscape discussed herein can be useful for migratory studies in China. The enrichment of strontium isotope data to refine Sr isotopes, as well as the search for better data on possible controlling factors, will make the analysis more comprehensive and provide a solid foundation for explaining strontium isotope migration. |
| first_indexed | 2024-04-11T00:34:46Z |
| format | Article |
| id | doaj.art-51e45baa178441428acf3a9302879a34 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-04-11T00:34:46Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-51e45baa178441428acf3a9302879a342023-01-06T20:38:47ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-01-011010.3389/feart.2022.10325781032578Using the geographic detector model to identify factors controlling the bioavailability of Sr isotopes in ChinaXueyan Zhang0Xin Ma1Xueye Wang2Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, ChinaAnthropology Department, University of California, Santa Cruz, Santa Cruz, CA, United StatesStrontium isotope ratios (87Sr/86Sr) are a widely applied tool in provenance applications in archaeology, paleoecology, forensics, and food science. Bedrock Sr is naturally and anthropogenically transferred to other reservoirs on the Earth’s surface through interactions with the hydrosphere, atmosphere, and biosphere. We attempt to reassess the contribution of the spatial distribution of bioavailable strontium isotopes using the geographic detector model (GDM). Our study reveals that the watershed factor explains 50.35% of the spatial variation of bioavailable Sr isotopes, while the climate, terrain, geology, and soil explain 14.41%, 4.94%, 4.63%, and 4.70% of the spatial variation of bioavailable Sr isotopes. The factors influencing the spatial variation of bioavailable Sr isotopes in China were ranked as follows: basin > climate > terrain > geology > soil type. The nonlinear enhancements of the interactions between the watershed and geology explained 59.90% of the spatial variation in bioavailable Sr isotopes, indicating that natural processes still control the bioavailability of strontium isotopes in China. Based on the synthesized river-water isotopic data, the large-scale bioavailable Sr isoscape discussed herein can be useful for migratory studies in China. The enrichment of strontium isotope data to refine Sr isotopes, as well as the search for better data on possible controlling factors, will make the analysis more comprehensive and provide a solid foundation for explaining strontium isotope migration.https://www.frontiersin.org/articles/10.3389/feart.2022.1032578/fullstrontium isotopegeographic detector modelnatural and anthropogenic influencescontrolling factorChina |
| spellingShingle | Xueyan Zhang Xin Ma Xueye Wang Using the geographic detector model to identify factors controlling the bioavailability of Sr isotopes in China Frontiers in Earth Science strontium isotope geographic detector model natural and anthropogenic influences controlling factor China |
| title | Using the geographic detector model to identify factors controlling the bioavailability of Sr isotopes in China |
| title_full | Using the geographic detector model to identify factors controlling the bioavailability of Sr isotopes in China |
| title_fullStr | Using the geographic detector model to identify factors controlling the bioavailability of Sr isotopes in China |
| title_full_unstemmed | Using the geographic detector model to identify factors controlling the bioavailability of Sr isotopes in China |
| title_short | Using the geographic detector model to identify factors controlling the bioavailability of Sr isotopes in China |
| title_sort | using the geographic detector model to identify factors controlling the bioavailability of sr isotopes in china |
| topic | strontium isotope geographic detector model natural and anthropogenic influences controlling factor China |
| url | https://www.frontiersin.org/articles/10.3389/feart.2022.1032578/full |
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