Quantifying of soil organic carbon and total nitrogen through near infrared spectroscopy on forest plantations in Sabah, Malaysia

Understanding the physiochemical properties of soil is critical in ensuring the optimal growth of crops and trees in forest plantation. The utility of near infrared (NIR) spectroscopy has proven as an effective and inexpensive method for soil properties evaluation. Nevertheless, it requires a cal...

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Main Author: Ahmad Jani, Hamzad Fahmi
Format: Thesis
Language:English
Published: 2023
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/116964/
http://psasir.upm.edu.my/id/eprint/116964/1/116964.pdf
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author Ahmad Jani, Hamzad Fahmi
author_facet Ahmad Jani, Hamzad Fahmi
author_sort Ahmad Jani, Hamzad Fahmi
building UPM Institutional Repository
collection Online Access
description Understanding the physiochemical properties of soil is critical in ensuring the optimal growth of crops and trees in forest plantation. The utility of near infrared (NIR) spectroscopy has proven as an effective and inexpensive method for soil properties evaluation. Nevertheless, it requires a calibrated technique that must be developed to account for the heterogeneity of specific regions. Thus, this study aimed to develop NIR spectral calibrations for quantitation of soil total organic carbon (TOC) and total nitrogen (TN). Soil samples were collected from three sites in Sabah, Malaysia, namely Pitas, Kota Marudu, and Tawau districts. Soil TOC and TN were obtained from 143 soil samples that were collected, scanned, and analysed using standard chemical method and NIR spectroscopy. Partial least squares regression (PLSR) analysis using cross validation was performed and then validated using independent sample set. Calibrations were generated utilising only the A-horizon samples due to inadequate sampling size to be used as an independent validation set. The predictions of TOC and TN concentrations by the PLSR method were statistically sound, with high coefficients of determination for the validation set (R2 pred TOC =0.77 and R2 pred TN =0.53) and low root mean square error of prediction (RMSEPTOC =0.44 and RMSEPTN =0.051). The implementation of these calibrations to offer spatial evaluation of two contrasting micro-sites within a same area (AFI site) was also demonstrated. The study also demonstrates the potential utility of NIR spectroscopy predictions in swiftly and non-invasively characterizing site-soil attributes, thereby presenting it as an important decision support tool in managing forest plantations, particularly when combined with NIR spectroscopic measurement of foliar nutrient levels.
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spelling upm-1169642025-05-27T03:45:16Z http://psasir.upm.edu.my/id/eprint/116964/ Quantifying of soil organic carbon and total nitrogen through near infrared spectroscopy on forest plantations in Sabah, Malaysia Ahmad Jani, Hamzad Fahmi Understanding the physiochemical properties of soil is critical in ensuring the optimal growth of crops and trees in forest plantation. The utility of near infrared (NIR) spectroscopy has proven as an effective and inexpensive method for soil properties evaluation. Nevertheless, it requires a calibrated technique that must be developed to account for the heterogeneity of specific regions. Thus, this study aimed to develop NIR spectral calibrations for quantitation of soil total organic carbon (TOC) and total nitrogen (TN). Soil samples were collected from three sites in Sabah, Malaysia, namely Pitas, Kota Marudu, and Tawau districts. Soil TOC and TN were obtained from 143 soil samples that were collected, scanned, and analysed using standard chemical method and NIR spectroscopy. Partial least squares regression (PLSR) analysis using cross validation was performed and then validated using independent sample set. Calibrations were generated utilising only the A-horizon samples due to inadequate sampling size to be used as an independent validation set. The predictions of TOC and TN concentrations by the PLSR method were statistically sound, with high coefficients of determination for the validation set (R2 pred TOC =0.77 and R2 pred TN =0.53) and low root mean square error of prediction (RMSEPTOC =0.44 and RMSEPTN =0.051). The implementation of these calibrations to offer spatial evaluation of two contrasting micro-sites within a same area (AFI site) was also demonstrated. The study also demonstrates the potential utility of NIR spectroscopy predictions in swiftly and non-invasively characterizing site-soil attributes, thereby presenting it as an important decision support tool in managing forest plantations, particularly when combined with NIR spectroscopic measurement of foliar nutrient levels. 2023-02 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/116964/1/116964.pdf Ahmad Jani, Hamzad Fahmi (2023) Quantifying of soil organic carbon and total nitrogen through near infrared spectroscopy on forest plantations in Sabah, Malaysia. Masters thesis, Universiti Putra Malaysia. http://ethesis.upm.edu.my/id/eprint/18303 Soils - Carbon content Near infrared spectroscopy
spellingShingle Soils - Carbon content
Near infrared spectroscopy
Ahmad Jani, Hamzad Fahmi
Quantifying of soil organic carbon and total nitrogen through near infrared spectroscopy on forest plantations in Sabah, Malaysia
title Quantifying of soil organic carbon and total nitrogen through near infrared spectroscopy on forest plantations in Sabah, Malaysia
title_full Quantifying of soil organic carbon and total nitrogen through near infrared spectroscopy on forest plantations in Sabah, Malaysia
title_fullStr Quantifying of soil organic carbon and total nitrogen through near infrared spectroscopy on forest plantations in Sabah, Malaysia
title_full_unstemmed Quantifying of soil organic carbon and total nitrogen through near infrared spectroscopy on forest plantations in Sabah, Malaysia
title_short Quantifying of soil organic carbon and total nitrogen through near infrared spectroscopy on forest plantations in Sabah, Malaysia
title_sort quantifying of soil organic carbon and total nitrogen through near infrared spectroscopy on forest plantations in sabah, malaysia
topic Soils - Carbon content
Near infrared spectroscopy
url http://psasir.upm.edu.my/id/eprint/116964/
http://psasir.upm.edu.my/id/eprint/116964/
http://psasir.upm.edu.my/id/eprint/116964/1/116964.pdf