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:10037/20725 2023-05-15T14:28:02+02:00 How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? Ancin Murguzur, Francisco Javier Brown, Antony Clarke, Charlotte Sjøgren, Per Johan E Svendsen, John-Inge Alsos, Inger Greve 2020-05-19 https://hdl.handle.net/10037/20725 https://doi.org/10.1007/s10933-020-00121-5 eng eng Springer Journal of Paleolimnology Norges forskningsråd: 250963/F20 Norges forskningsråd: 250963 Norges forskningsråd: 255415 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/ info:eu-repo/grantAgreement/RCN/FRIMEDBIO/250963/Norway/ECOGEN - Ecosystem change and species persistence over time: a genome-based approach/ECOGEN/ Ancin Murguzur, Brown AG, Clarke, Sjøgren, Svendsen, Alsos. How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?. Journal of Paleolimnology. 2020;64(2):59-69 FRIDAID 1820434 doi:10.1007/s10933-020-00121-5 0921-2728 1573-0417 https://hdl.handle.net/10037/20725 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 2021-06-25T17:57:56Z 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 |
topic |
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 Clarke, Charlotte Sjøgren, Per Johan E 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 Clarke, Charlotte Sjøgren, Per Johan E Svendsen, John-Inge Alsos, Inger Greve |
author_facet |
Ancin Murguzur, Francisco Javier Brown, Antony Clarke, Charlotte Sjøgren, Per Johan E 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/10037/20725 https://doi.org/10.1007/s10933-020-00121-5 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
Journal of Paleolimnology Norges forskningsråd: 250963/F20 Norges forskningsråd: 250963 Norges forskningsråd: 255415 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/ info:eu-repo/grantAgreement/RCN/FRIMEDBIO/250963/Norway/ECOGEN - Ecosystem change and species persistence over time: a genome-based approach/ECOGEN/ Ancin Murguzur, Brown AG, Clarke, Sjøgren, Svendsen, Alsos. How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?. Journal of Paleolimnology. 2020;64(2):59-69 FRIDAID 1820434 doi:10.1007/s10933-020-00121-5 0921-2728 1573-0417 https://hdl.handle.net/10037/20725 |
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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64 |
container_issue |
2 |
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59 |
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69 |
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