How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?
Loss-on-ignition (LOI) is the most widely used measure of organic matter in lake sediments, a variable related to both climate and land-use change. The main drawback for conventional measurement methods is the processing time and hence high labor costs associated with high-resolution analyses. On th...
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ftunivtroemsoe:oai:munin.uit.no:10037/21247 2023-05-15T14:27:45+02:00 How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? Ancin-Murguzur, Francisco Javier Brown, Antony G. Clarke, Charlotte Sjøgren, Per Svendsen, John Inge Alsos, Inger Greve 2020-05-19 https://hdl.handle.net/10037/21247 https://doi.org/10.1007/s10933-020-00121-5 eng eng Springer Journal of Paleolimnology info:eu-repo/grantAgreement/RCN/FRIMEDBIO/213692/Norway/Ancient DNA of NW Europe reveals responses to climate change// info:eu-repo/grantAgreement/RCN/KLIMAFORSK/255415/Norway/Climate History along the Arctic Seaboard of Eurasia/CHASE/ Ancin-Murguzur FJ, Brown A, Clarke CL, Sjøgren P, Svendsen J, Alsos IGA. How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?. Journal of Paleolimnology. 2020;64(2), 59-69. FRIDAID 1876952 https://doi.org/10.1007/s10933-020-00121-5 0921-2728 1573-0417 https://hdl.handle.net/10037/21247 openAccess Copyright 2020 The Author(s) VDP::Mathematics and natural science: 400 VDP::Matematikk og Naturvitenskap: 400 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2020 ftunivtroemsoe https://doi.org/10.1007/s10933-020-00121-5 2021-06-25T17:58:02Z Loss-on-ignition (LOI) is the most widely used measure of organic matter in lake sediments, a variable related to both climate and land-use change. The main drawback for conventional measurement methods is the processing time and hence high labor costs associated with high-resolution analyses. On the other hand, broad-based near infrared reflectance spectroscopy (NIRS) is a time and cost efficient method to measure organic carbon and organic matter content in lacustrine sediments once predictive methods are developed. NIRS-based predictive models are most robust when applied to sediments with properties that are already included in the calibration dataset. To test the potential for a broad applicability of NIRS models in samples foreign to the calibration model using linear corrections, sediment cores from six lakes (537 samples, LOI range 1.03–85%) were used as reference samples to develop a predictive model. The applicability of the model was assessed by sequentially removing one lake from the reference dataset, developing a new model and then validating it against the removed lake. Results indicated that NIRS has a high predictive power (RMSEP < 4.79) for LOI with the need for intercept and slope correction for new cores measured by NIRS. For studies involving many samples, NIRS is a cost and time-efficient method to estimate LOI on a range of lake sediments with only linear bias adjustments for different records. Article in Journal/Newspaper Arctic University of Tromsø: Munin Open Research Archive Journal of Paleolimnology 64 2 59 69 |
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University of Tromsø: Munin Open Research Archive |
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English |
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VDP::Mathematics and natural science: 400 VDP::Matematikk og Naturvitenskap: 400 |
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VDP::Mathematics and natural science: 400 VDP::Matematikk og Naturvitenskap: 400 Ancin-Murguzur, Francisco Javier Brown, Antony G. Clarke, Charlotte Sjøgren, Per Svendsen, John Inge Alsos, Inger Greve How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? |
topic_facet |
VDP::Mathematics and natural science: 400 VDP::Matematikk og Naturvitenskap: 400 |
description |
Loss-on-ignition (LOI) is the most widely used measure of organic matter in lake sediments, a variable related to both climate and land-use change. The main drawback for conventional measurement methods is the processing time and hence high labor costs associated with high-resolution analyses. On the other hand, broad-based near infrared reflectance spectroscopy (NIRS) is a time and cost efficient method to measure organic carbon and organic matter content in lacustrine sediments once predictive methods are developed. NIRS-based predictive models are most robust when applied to sediments with properties that are already included in the calibration dataset. To test the potential for a broad applicability of NIRS models in samples foreign to the calibration model using linear corrections, sediment cores from six lakes (537 samples, LOI range 1.03–85%) were used as reference samples to develop a predictive model. The applicability of the model was assessed by sequentially removing one lake from the reference dataset, developing a new model and then validating it against the removed lake. Results indicated that NIRS has a high predictive power (RMSEP < 4.79) for LOI with the need for intercept and slope correction for new cores measured by NIRS. For studies involving many samples, NIRS is a cost and time-efficient method to estimate LOI on a range of lake sediments with only linear bias adjustments for different records. |
format |
Article in Journal/Newspaper |
author |
Ancin-Murguzur, Francisco Javier Brown, Antony G. Clarke, Charlotte Sjøgren, Per Svendsen, John Inge Alsos, Inger Greve |
author_facet |
Ancin-Murguzur, Francisco Javier Brown, Antony G. Clarke, Charlotte Sjøgren, Per Svendsen, John Inge Alsos, Inger Greve |
author_sort |
Ancin-Murguzur, Francisco Javier |
title |
How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? |
title_short |
How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? |
title_full |
How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? |
title_fullStr |
How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? |
title_full_unstemmed |
How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? |
title_sort |
how well can near infrared reflectance spectroscopy (nirs) measure sediment organic matter in multiple lakes? |
publisher |
Springer |
publishDate |
2020 |
url |
https://hdl.handle.net/10037/21247 https://doi.org/10.1007/s10933-020-00121-5 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
Journal of Paleolimnology info:eu-repo/grantAgreement/RCN/FRIMEDBIO/213692/Norway/Ancient DNA of NW Europe reveals responses to climate change// info:eu-repo/grantAgreement/RCN/KLIMAFORSK/255415/Norway/Climate History along the Arctic Seaboard of Eurasia/CHASE/ Ancin-Murguzur FJ, Brown A, Clarke CL, Sjøgren P, Svendsen J, Alsos IGA. How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?. Journal of Paleolimnology. 2020;64(2), 59-69. FRIDAID 1876952 https://doi.org/10.1007/s10933-020-00121-5 0921-2728 1573-0417 https://hdl.handle.net/10037/21247 |
op_rights |
openAccess Copyright 2020 The Author(s) |
op_doi |
https://doi.org/10.1007/s10933-020-00121-5 |
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Journal of Paleolimnology |
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