Development of pedotransfer functions for predicting soil bulk density : a case study in Indonesian small island

• Autorzy: Yanti Evi Dwi , Mulyono Asep , Djuwansah Muhammad Rahman , Narulita Ida , Putra Risandi Dwirama , Surinati Dewi

Identyfikatory

DOI

10.24425/jwld.2021.139029

• Języki publikacji: EN

Abstrakty

EN

Unlike many other countries, tropical regions such as Indonesia still lack publications on pedotransfer functions (PTFs), particularly ones dedicated to the predicting of soil bulk density. Soil bulk density affects soil density, porosity, water holding capacity, drainage, and the stock and flux of nutrients in the soil. However, obtaining access to a laboratory is difficult, time-consuming, and costly. Therefore, it is necessary to utilise PTFs to estimate soil bulk density. This study aims to define soil properties related to soil bulk density, develop new PTFs using multiple linear regression (MLR), and evaluate the performance and accuracy of PTFs (new and existing). Seven existing PTFs were applied in this study. For the purposes of evaluation, Pearson’s correlation (r), mean error (ME), root mean square error (RMSE), and modelling efficiency (EF) were used. The study was conducted in five soil types on Bintan Island, Indonesia. Soil depth and organic carbon (SOC) are soil properties potentially relevant for soil bulk density prediction. The ME, RMSE, and EF values were lower for the newly developed PTFs than for existing PTFs. In summary, we concluded that the newly developed PTFs have higher accuracy than existing PTFs derived from literature. The prediction of soil bulk density will be more accurate if PTFs are applied directly in the area that is to be studied.

Słowa kluczowe

EN

bulk density; multiple linear regression; pedotransfer function; soil property

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2021
• Tom: no. 51
• Strony: 181--187
• Opis fizyczny: Bibliogr. 29 poz., mapy, rys., tab., wykr.

Twórcy

autor

Yanti Evi Dwi

• Research Center for Geotechnology, Indonesian National Research and Innovation Agency, Bandung, Indonesia

• https://orcid.org/0000-0001-8978-9156

autor

Mulyono Asep

• Research Center for Geotechnology, Indonesian National Research and Innovation Agency, Bandung, Indonesia

• https://orcid.org/0000-0001-5999-4247

autor

Djuwansah Muhammad Rahman

• Research Center for Geotechnology, Indonesian National Research and Innovation Agency, Bandung, Indonesia

• https://orcid.org/0000-0002-1050-3491

autor

Narulita Ida

• Research Center for Geotechnology, Indonesian National Research and Innovation Agency, Bandung, Indonesia

• https://orcid.org/0000-0002-0387-231X

autor

Putra Risandi Dwirama

• Maritim Raja Ali Haji University, Tanjung Pinang, Indonesia

• https://orcid.org/0000-0002-0939-067X

autor

Surinati Dewi

• Research Center for Oceanography, Indonesian National Research and Innovation Agency, Jakarta, Indonesia

• https://orcid.org/0000-0001-7093-8270

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Uwagi

1. W oryginale imię autora Djuwansah: Muhamad zamiast Muhammad.

2. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).