Response of microscopical hyperspectral data to past climatic variable
Abstract Tree growth is ordinarily affected by changes in environmental conditions, and the annual sequence of favorable and unfavorable climates is regularly recorded in wide and narrow tree rings. Therefore, data extracted from tree rings can be adopted to reconstruct the past climate. In dendrocl...
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| Autor*in: |
Wang, Lingjun [verfasserIn] |
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Artikel |
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Englisch |
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2022 |
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© The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Enthalten in: Theoretical and applied climatology - Springer Vienna, 1986, 150(2022), 3-4 vom: 01. Okt., Seite 1145-1155 |
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volume:150 ; year:2022 ; number:3-4 ; day:01 ; month:10 ; pages:1145-1155 |
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| DOI / URN: |
10.1007/s00704-022-04219-w |
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OLC2079942131 |
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| 520 | |a Abstract Tree growth is ordinarily affected by changes in environmental conditions, and the annual sequence of favorable and unfavorable climates is regularly recorded in wide and narrow tree rings. Therefore, data extracted from tree rings can be adopted to reconstruct the past climate. In dendroclimatology, the commonly used proxy indices to obtain paleoclimatic parameters include tree-ring width, blue intensity, density, and isotopic series. Notwithstanding, reconstructing the past local climatic parameters with high accuracy is a challenge. Here, we demonstrate how data from microscopic-hyperspectral scanning of the dendrochronological samples, together with the tree-ring width data, facilitates the precise estimation of one paleoclimatic parameter, the mean deviation of monthly air temperature. In a proof-of-concept analysis experiment, samples were collected from two sites located in the middle part of China, measured with a hyperspectral scanning system, model achieved an averaged root mean square error (RMSE) of 0.524℃ on the mean deviation of monthly air temperature from March to July, which demonstrates significant improvements in accuracy compared with the classical single-indexed tree-ring width method, especially when the number of tree-ring samples is limited. Further, our results suggest that climatic data stored in the tree-ring spectrum could be divulged by analyzing their surface hyperspectral reflectance. We hope our work will be a genesis for more intricate models in dendroclimatology that use microscopic-hyperspectral scanning as a standard tool, which promises enhanced accuracy for past climate reconstruction. Besides tree rings, the capacity of the microscopic-hyperspectral scanning technique can be exploited on other samples collected in paleoclimatology, including core samples from rocks, sediment, ice, or surface samples on shells, boreholes, and corals, to derive valuable information from their surface spectral patterns. | ||
| 650 | 4 | |a Microscopic-hyperspectral | |
| 650 | 4 | |a Tree rings; Paleoclimate | |
| 650 | 4 | |a Principal component analysis | |
| 650 | 4 | |a Multiple linear regression | |
| 700 | 1 | |a Fei, Teng |0 (orcid)0000-0002-3415-1654 |4 aut | |
| 700 | 1 | |a Bian, Meng |4 aut | |
| 700 | 1 | |a Xu, Yadan |4 aut | |
| 700 | 1 | |a Zhang, Haochen |4 aut | |
| 700 | 1 | |a Zheng, Yonghong |4 aut | |
| 700 | 1 | |a Zhu, Haifeng |4 aut | |
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10.1007/s00704-022-04219-w doi (DE-627)OLC2079942131 (DE-He213)s00704-022-04219-w-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Wang, Lingjun verfasserin aut Response of microscopical hyperspectral data to past climatic variable 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Tree growth is ordinarily affected by changes in environmental conditions, and the annual sequence of favorable and unfavorable climates is regularly recorded in wide and narrow tree rings. Therefore, data extracted from tree rings can be adopted to reconstruct the past climate. In dendroclimatology, the commonly used proxy indices to obtain paleoclimatic parameters include tree-ring width, blue intensity, density, and isotopic series. Notwithstanding, reconstructing the past local climatic parameters with high accuracy is a challenge. Here, we demonstrate how data from microscopic-hyperspectral scanning of the dendrochronological samples, together with the tree-ring width data, facilitates the precise estimation of one paleoclimatic parameter, the mean deviation of monthly air temperature. In a proof-of-concept analysis experiment, samples were collected from two sites located in the middle part of China, measured with a hyperspectral scanning system, model achieved an averaged root mean square error (RMSE) of 0.524℃ on the mean deviation of monthly air temperature from March to July, which demonstrates significant improvements in accuracy compared with the classical single-indexed tree-ring width method, especially when the number of tree-ring samples is limited. Further, our results suggest that climatic data stored in the tree-ring spectrum could be divulged by analyzing their surface hyperspectral reflectance. We hope our work will be a genesis for more intricate models in dendroclimatology that use microscopic-hyperspectral scanning as a standard tool, which promises enhanced accuracy for past climate reconstruction. Besides tree rings, the capacity of the microscopic-hyperspectral scanning technique can be exploited on other samples collected in paleoclimatology, including core samples from rocks, sediment, ice, or surface samples on shells, boreholes, and corals, to derive valuable information from their surface spectral patterns. Microscopic-hyperspectral Tree rings; Paleoclimate Principal component analysis Multiple linear regression Fei, Teng (orcid)0000-0002-3415-1654 aut Bian, Meng aut Xu, Yadan aut Zhang, Haochen aut Zheng, Yonghong aut Zhu, Haifeng aut Enthalten in Theoretical and applied climatology Springer Vienna, 1986 150(2022), 3-4 vom: 01. Okt., Seite 1145-1155 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:150 year:2022 number:3-4 day:01 month:10 pages:1145-1155 https://doi.org/10.1007/s00704-022-04219-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_4313 RA 1000 AR 150 2022 3-4 01 10 1145-1155 |
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10.1007/s00704-022-04219-w doi (DE-627)OLC2079942131 (DE-He213)s00704-022-04219-w-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Wang, Lingjun verfasserin aut Response of microscopical hyperspectral data to past climatic variable 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Tree growth is ordinarily affected by changes in environmental conditions, and the annual sequence of favorable and unfavorable climates is regularly recorded in wide and narrow tree rings. Therefore, data extracted from tree rings can be adopted to reconstruct the past climate. In dendroclimatology, the commonly used proxy indices to obtain paleoclimatic parameters include tree-ring width, blue intensity, density, and isotopic series. Notwithstanding, reconstructing the past local climatic parameters with high accuracy is a challenge. Here, we demonstrate how data from microscopic-hyperspectral scanning of the dendrochronological samples, together with the tree-ring width data, facilitates the precise estimation of one paleoclimatic parameter, the mean deviation of monthly air temperature. In a proof-of-concept analysis experiment, samples were collected from two sites located in the middle part of China, measured with a hyperspectral scanning system, model achieved an averaged root mean square error (RMSE) of 0.524℃ on the mean deviation of monthly air temperature from March to July, which demonstrates significant improvements in accuracy compared with the classical single-indexed tree-ring width method, especially when the number of tree-ring samples is limited. Further, our results suggest that climatic data stored in the tree-ring spectrum could be divulged by analyzing their surface hyperspectral reflectance. We hope our work will be a genesis for more intricate models in dendroclimatology that use microscopic-hyperspectral scanning as a standard tool, which promises enhanced accuracy for past climate reconstruction. Besides tree rings, the capacity of the microscopic-hyperspectral scanning technique can be exploited on other samples collected in paleoclimatology, including core samples from rocks, sediment, ice, or surface samples on shells, boreholes, and corals, to derive valuable information from their surface spectral patterns. Microscopic-hyperspectral Tree rings; Paleoclimate Principal component analysis Multiple linear regression Fei, Teng (orcid)0000-0002-3415-1654 aut Bian, Meng aut Xu, Yadan aut Zhang, Haochen aut Zheng, Yonghong aut Zhu, Haifeng aut Enthalten in Theoretical and applied climatology Springer Vienna, 1986 150(2022), 3-4 vom: 01. Okt., Seite 1145-1155 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:150 year:2022 number:3-4 day:01 month:10 pages:1145-1155 https://doi.org/10.1007/s00704-022-04219-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_4313 RA 1000 AR 150 2022 3-4 01 10 1145-1155 |
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10.1007/s00704-022-04219-w doi (DE-627)OLC2079942131 (DE-He213)s00704-022-04219-w-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Wang, Lingjun verfasserin aut Response of microscopical hyperspectral data to past climatic variable 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Tree growth is ordinarily affected by changes in environmental conditions, and the annual sequence of favorable and unfavorable climates is regularly recorded in wide and narrow tree rings. Therefore, data extracted from tree rings can be adopted to reconstruct the past climate. In dendroclimatology, the commonly used proxy indices to obtain paleoclimatic parameters include tree-ring width, blue intensity, density, and isotopic series. Notwithstanding, reconstructing the past local climatic parameters with high accuracy is a challenge. Here, we demonstrate how data from microscopic-hyperspectral scanning of the dendrochronological samples, together with the tree-ring width data, facilitates the precise estimation of one paleoclimatic parameter, the mean deviation of monthly air temperature. In a proof-of-concept analysis experiment, samples were collected from two sites located in the middle part of China, measured with a hyperspectral scanning system, model achieved an averaged root mean square error (RMSE) of 0.524℃ on the mean deviation of monthly air temperature from March to July, which demonstrates significant improvements in accuracy compared with the classical single-indexed tree-ring width method, especially when the number of tree-ring samples is limited. Further, our results suggest that climatic data stored in the tree-ring spectrum could be divulged by analyzing their surface hyperspectral reflectance. We hope our work will be a genesis for more intricate models in dendroclimatology that use microscopic-hyperspectral scanning as a standard tool, which promises enhanced accuracy for past climate reconstruction. Besides tree rings, the capacity of the microscopic-hyperspectral scanning technique can be exploited on other samples collected in paleoclimatology, including core samples from rocks, sediment, ice, or surface samples on shells, boreholes, and corals, to derive valuable information from their surface spectral patterns. Microscopic-hyperspectral Tree rings; Paleoclimate Principal component analysis Multiple linear regression Fei, Teng (orcid)0000-0002-3415-1654 aut Bian, Meng aut Xu, Yadan aut Zhang, Haochen aut Zheng, Yonghong aut Zhu, Haifeng aut Enthalten in Theoretical and applied climatology Springer Vienna, 1986 150(2022), 3-4 vom: 01. Okt., Seite 1145-1155 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:150 year:2022 number:3-4 day:01 month:10 pages:1145-1155 https://doi.org/10.1007/s00704-022-04219-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_4313 RA 1000 AR 150 2022 3-4 01 10 1145-1155 |
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10.1007/s00704-022-04219-w doi (DE-627)OLC2079942131 (DE-He213)s00704-022-04219-w-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Wang, Lingjun verfasserin aut Response of microscopical hyperspectral data to past climatic variable 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Tree growth is ordinarily affected by changes in environmental conditions, and the annual sequence of favorable and unfavorable climates is regularly recorded in wide and narrow tree rings. Therefore, data extracted from tree rings can be adopted to reconstruct the past climate. In dendroclimatology, the commonly used proxy indices to obtain paleoclimatic parameters include tree-ring width, blue intensity, density, and isotopic series. Notwithstanding, reconstructing the past local climatic parameters with high accuracy is a challenge. Here, we demonstrate how data from microscopic-hyperspectral scanning of the dendrochronological samples, together with the tree-ring width data, facilitates the precise estimation of one paleoclimatic parameter, the mean deviation of monthly air temperature. In a proof-of-concept analysis experiment, samples were collected from two sites located in the middle part of China, measured with a hyperspectral scanning system, model achieved an averaged root mean square error (RMSE) of 0.524℃ on the mean deviation of monthly air temperature from March to July, which demonstrates significant improvements in accuracy compared with the classical single-indexed tree-ring width method, especially when the number of tree-ring samples is limited. Further, our results suggest that climatic data stored in the tree-ring spectrum could be divulged by analyzing their surface hyperspectral reflectance. We hope our work will be a genesis for more intricate models in dendroclimatology that use microscopic-hyperspectral scanning as a standard tool, which promises enhanced accuracy for past climate reconstruction. Besides tree rings, the capacity of the microscopic-hyperspectral scanning technique can be exploited on other samples collected in paleoclimatology, including core samples from rocks, sediment, ice, or surface samples on shells, boreholes, and corals, to derive valuable information from their surface spectral patterns. Microscopic-hyperspectral Tree rings; Paleoclimate Principal component analysis Multiple linear regression Fei, Teng (orcid)0000-0002-3415-1654 aut Bian, Meng aut Xu, Yadan aut Zhang, Haochen aut Zheng, Yonghong aut Zhu, Haifeng aut Enthalten in Theoretical and applied climatology Springer Vienna, 1986 150(2022), 3-4 vom: 01. Okt., Seite 1145-1155 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:150 year:2022 number:3-4 day:01 month:10 pages:1145-1155 https://doi.org/10.1007/s00704-022-04219-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_4313 RA 1000 AR 150 2022 3-4 01 10 1145-1155 |
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10.1007/s00704-022-04219-w doi (DE-627)OLC2079942131 (DE-He213)s00704-022-04219-w-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Wang, Lingjun verfasserin aut Response of microscopical hyperspectral data to past climatic variable 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Tree growth is ordinarily affected by changes in environmental conditions, and the annual sequence of favorable and unfavorable climates is regularly recorded in wide and narrow tree rings. Therefore, data extracted from tree rings can be adopted to reconstruct the past climate. In dendroclimatology, the commonly used proxy indices to obtain paleoclimatic parameters include tree-ring width, blue intensity, density, and isotopic series. Notwithstanding, reconstructing the past local climatic parameters with high accuracy is a challenge. Here, we demonstrate how data from microscopic-hyperspectral scanning of the dendrochronological samples, together with the tree-ring width data, facilitates the precise estimation of one paleoclimatic parameter, the mean deviation of monthly air temperature. In a proof-of-concept analysis experiment, samples were collected from two sites located in the middle part of China, measured with a hyperspectral scanning system, model achieved an averaged root mean square error (RMSE) of 0.524℃ on the mean deviation of monthly air temperature from March to July, which demonstrates significant improvements in accuracy compared with the classical single-indexed tree-ring width method, especially when the number of tree-ring samples is limited. Further, our results suggest that climatic data stored in the tree-ring spectrum could be divulged by analyzing their surface hyperspectral reflectance. We hope our work will be a genesis for more intricate models in dendroclimatology that use microscopic-hyperspectral scanning as a standard tool, which promises enhanced accuracy for past climate reconstruction. Besides tree rings, the capacity of the microscopic-hyperspectral scanning technique can be exploited on other samples collected in paleoclimatology, including core samples from rocks, sediment, ice, or surface samples on shells, boreholes, and corals, to derive valuable information from their surface spectral patterns. Microscopic-hyperspectral Tree rings; Paleoclimate Principal component analysis Multiple linear regression Fei, Teng (orcid)0000-0002-3415-1654 aut Bian, Meng aut Xu, Yadan aut Zhang, Haochen aut Zheng, Yonghong aut Zhu, Haifeng aut Enthalten in Theoretical and applied climatology Springer Vienna, 1986 150(2022), 3-4 vom: 01. Okt., Seite 1145-1155 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:150 year:2022 number:3-4 day:01 month:10 pages:1145-1155 https://doi.org/10.1007/s00704-022-04219-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_4313 RA 1000 AR 150 2022 3-4 01 10 1145-1155 |
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Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Tree growth is ordinarily affected by changes in environmental conditions, and the annual sequence of favorable and unfavorable climates is regularly recorded in wide and narrow tree rings. Therefore, data extracted from tree rings can be adopted to reconstruct the past climate. In dendroclimatology, the commonly used proxy indices to obtain paleoclimatic parameters include tree-ring width, blue intensity, density, and isotopic series. Notwithstanding, reconstructing the past local climatic parameters with high accuracy is a challenge. Here, we demonstrate how data from microscopic-hyperspectral scanning of the dendrochronological samples, together with the tree-ring width data, facilitates the precise estimation of one paleoclimatic parameter, the mean deviation of monthly air temperature. In a proof-of-concept analysis experiment, samples were collected from two sites located in the middle part of China, measured with a hyperspectral scanning system, model achieved an averaged root mean square error (RMSE) of 0.524℃ on the mean deviation of monthly air temperature from March to July, which demonstrates significant improvements in accuracy compared with the classical single-indexed tree-ring width method, especially when the number of tree-ring samples is limited. Further, our results suggest that climatic data stored in the tree-ring spectrum could be divulged by analyzing their surface hyperspectral reflectance. 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Response of microscopical hyperspectral data to past climatic variable |
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Abstract Tree growth is ordinarily affected by changes in environmental conditions, and the annual sequence of favorable and unfavorable climates is regularly recorded in wide and narrow tree rings. Therefore, data extracted from tree rings can be adopted to reconstruct the past climate. In dendroclimatology, the commonly used proxy indices to obtain paleoclimatic parameters include tree-ring width, blue intensity, density, and isotopic series. Notwithstanding, reconstructing the past local climatic parameters with high accuracy is a challenge. Here, we demonstrate how data from microscopic-hyperspectral scanning of the dendrochronological samples, together with the tree-ring width data, facilitates the precise estimation of one paleoclimatic parameter, the mean deviation of monthly air temperature. In a proof-of-concept analysis experiment, samples were collected from two sites located in the middle part of China, measured with a hyperspectral scanning system, model achieved an averaged root mean square error (RMSE) of 0.524℃ on the mean deviation of monthly air temperature from March to July, which demonstrates significant improvements in accuracy compared with the classical single-indexed tree-ring width method, especially when the number of tree-ring samples is limited. Further, our results suggest that climatic data stored in the tree-ring spectrum could be divulged by analyzing their surface hyperspectral reflectance. We hope our work will be a genesis for more intricate models in dendroclimatology that use microscopic-hyperspectral scanning as a standard tool, which promises enhanced accuracy for past climate reconstruction. Besides tree rings, the capacity of the microscopic-hyperspectral scanning technique can be exploited on other samples collected in paleoclimatology, including core samples from rocks, sediment, ice, or surface samples on shells, boreholes, and corals, to derive valuable information from their surface spectral patterns. © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Abstract Tree growth is ordinarily affected by changes in environmental conditions, and the annual sequence of favorable and unfavorable climates is regularly recorded in wide and narrow tree rings. Therefore, data extracted from tree rings can be adopted to reconstruct the past climate. In dendroclimatology, the commonly used proxy indices to obtain paleoclimatic parameters include tree-ring width, blue intensity, density, and isotopic series. Notwithstanding, reconstructing the past local climatic parameters with high accuracy is a challenge. Here, we demonstrate how data from microscopic-hyperspectral scanning of the dendrochronological samples, together with the tree-ring width data, facilitates the precise estimation of one paleoclimatic parameter, the mean deviation of monthly air temperature. In a proof-of-concept analysis experiment, samples were collected from two sites located in the middle part of China, measured with a hyperspectral scanning system, model achieved an averaged root mean square error (RMSE) of 0.524℃ on the mean deviation of monthly air temperature from March to July, which demonstrates significant improvements in accuracy compared with the classical single-indexed tree-ring width method, especially when the number of tree-ring samples is limited. Further, our results suggest that climatic data stored in the tree-ring spectrum could be divulged by analyzing their surface hyperspectral reflectance. We hope our work will be a genesis for more intricate models in dendroclimatology that use microscopic-hyperspectral scanning as a standard tool, which promises enhanced accuracy for past climate reconstruction. Besides tree rings, the capacity of the microscopic-hyperspectral scanning technique can be exploited on other samples collected in paleoclimatology, including core samples from rocks, sediment, ice, or surface samples on shells, boreholes, and corals, to derive valuable information from their surface spectral patterns. © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Abstract Tree growth is ordinarily affected by changes in environmental conditions, and the annual sequence of favorable and unfavorable climates is regularly recorded in wide and narrow tree rings. Therefore, data extracted from tree rings can be adopted to reconstruct the past climate. In dendroclimatology, the commonly used proxy indices to obtain paleoclimatic parameters include tree-ring width, blue intensity, density, and isotopic series. Notwithstanding, reconstructing the past local climatic parameters with high accuracy is a challenge. Here, we demonstrate how data from microscopic-hyperspectral scanning of the dendrochronological samples, together with the tree-ring width data, facilitates the precise estimation of one paleoclimatic parameter, the mean deviation of monthly air temperature. In a proof-of-concept analysis experiment, samples were collected from two sites located in the middle part of China, measured with a hyperspectral scanning system, model achieved an averaged root mean square error (RMSE) of 0.524℃ on the mean deviation of monthly air temperature from March to July, which demonstrates significant improvements in accuracy compared with the classical single-indexed tree-ring width method, especially when the number of tree-ring samples is limited. Further, our results suggest that climatic data stored in the tree-ring spectrum could be divulged by analyzing their surface hyperspectral reflectance. We hope our work will be a genesis for more intricate models in dendroclimatology that use microscopic-hyperspectral scanning as a standard tool, which promises enhanced accuracy for past climate reconstruction. Besides tree rings, the capacity of the microscopic-hyperspectral scanning technique can be exploited on other samples collected in paleoclimatology, including core samples from rocks, sediment, ice, or surface samples on shells, boreholes, and corals, to derive valuable information from their surface spectral patterns. © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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