A comparison of importance of modelling method and sample size for mapping soil organic matter in Guangdong, China

Digital soil mapping (DSM) is the most widely used method for producing spatial information of soil organic matter (SOM). Accuracy of the information is generally determined by modelling methods and sample sizes used for DSM. However, different studies present different importance of modelling metho...

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Autores principales:	Yu-Qing Lai, Hui-Li Wang, Xiao-Lin Sun
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Digital soil mapping Modelling method Sample size Soil organic matter Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/0081d6d83085481ab33e1f75c2d7e741
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id	oai:doaj.org-article:0081d6d83085481ab33e1f75c2d7e741
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spelling	oai:doaj.org-article:0081d6d83085481ab33e1f75c2d7e7412021-12-01T04:49:36ZA comparison of importance of modelling method and sample size for mapping soil organic matter in Guangdong, China1470-160X10.1016/j.ecolind.2021.107618https://doaj.org/article/0081d6d83085481ab33e1f75c2d7e7412021-07-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21002831https://doaj.org/toc/1470-160XDigital soil mapping (DSM) is the most widely used method for producing spatial information of soil organic matter (SOM). Accuracy of the information is generally determined by modelling methods and sample sizes used for DSM. However, different studies present different importance of modelling method and sample size on accuracy of DSM, while they do not explore various combinations of modelling method and sample size. Based on the studies, it is supposed that there exists an optimal combination of modelling method and sample size for producing information of SOM accurately and economically. With SOM data of 1861 soil samples collected in Guangdong, China, the present study first assessed importance of modelling method and sample size and then examined if an optimal combination of modelling method and sample size existed for the area. Six modelling methods were explored, while 12 sample sizes were used, ranging from 100 to 1200 with an interval of 100. For each size, 10 repeated samples were randomly taken from a data of 1311 samples which were randomly selected from all the 1861 soil samples based on the probability distribution of the SOM data. The results showed that, for small sample sizes, the modelling methods have a greater impact on accuracy of DSM. However, for large sample sizes, e.g., more than 1000, the sample sizes have a much greater impact. Due to the varying importance of modelling method and sample size, there exists an optimal combination of modelling method and sample size for spatial prediction of SOM in the area, i.e., the combination of regression kriging and a sample size of 800. Thus, for economically producing detailed and accurate information on spatial distribution of SOM, it is recommended that a series of modelling methods and sample sizes are tried to identify an optimal combination of modelling method and sample size.Yu-Qing LaiHui-Li WangXiao-Lin SunElsevierarticleDigital soil mappingModelling methodSample sizeSoil organic matterEcologyQH540-549.5ENEcological Indicators, Vol 126, Iss , Pp 107618- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Digital soil mapping Modelling method Sample size Soil organic matter Ecology QH540-549.5
spellingShingle	Digital soil mapping Modelling method Sample size Soil organic matter Ecology QH540-549.5 Yu-Qing Lai Hui-Li Wang Xiao-Lin Sun A comparison of importance of modelling method and sample size for mapping soil organic matter in Guangdong, China
description	Digital soil mapping (DSM) is the most widely used method for producing spatial information of soil organic matter (SOM). Accuracy of the information is generally determined by modelling methods and sample sizes used for DSM. However, different studies present different importance of modelling method and sample size on accuracy of DSM, while they do not explore various combinations of modelling method and sample size. Based on the studies, it is supposed that there exists an optimal combination of modelling method and sample size for producing information of SOM accurately and economically. With SOM data of 1861 soil samples collected in Guangdong, China, the present study first assessed importance of modelling method and sample size and then examined if an optimal combination of modelling method and sample size existed for the area. Six modelling methods were explored, while 12 sample sizes were used, ranging from 100 to 1200 with an interval of 100. For each size, 10 repeated samples were randomly taken from a data of 1311 samples which were randomly selected from all the 1861 soil samples based on the probability distribution of the SOM data. The results showed that, for small sample sizes, the modelling methods have a greater impact on accuracy of DSM. However, for large sample sizes, e.g., more than 1000, the sample sizes have a much greater impact. Due to the varying importance of modelling method and sample size, there exists an optimal combination of modelling method and sample size for spatial prediction of SOM in the area, i.e., the combination of regression kriging and a sample size of 800. Thus, for economically producing detailed and accurate information on spatial distribution of SOM, it is recommended that a series of modelling methods and sample sizes are tried to identify an optimal combination of modelling method and sample size.
format	article
author	Yu-Qing Lai Hui-Li Wang Xiao-Lin Sun
author_facet	Yu-Qing Lai Hui-Li Wang Xiao-Lin Sun
author_sort	Yu-Qing Lai
title	A comparison of importance of modelling method and sample size for mapping soil organic matter in Guangdong, China
title_short	A comparison of importance of modelling method and sample size for mapping soil organic matter in Guangdong, China
title_full	A comparison of importance of modelling method and sample size for mapping soil organic matter in Guangdong, China
title_fullStr	A comparison of importance of modelling method and sample size for mapping soil organic matter in Guangdong, China
title_full_unstemmed	A comparison of importance of modelling method and sample size for mapping soil organic matter in Guangdong, China
title_sort	comparison of importance of modelling method and sample size for mapping soil organic matter in guangdong, china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/0081d6d83085481ab33e1f75c2d7e741
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A comparison of importance of modelling method and sample size for mapping soil organic matter in Guangdong, China

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