Predicting and mapping soil available water capacity in Korea

The knowledge on the spatial distribution of soil available water capacity at a regional or national extent is essential, as soil water capacity is a component of the water and energy balances in the terrestrial ecosystem. It controls the evapotranspiration rate, and has a major impact on climate. T...

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Main Authors: Suk Young Hong, Budiman Minasny, Kyung Hwa Han, Yihyun Kim, Kyungdo Lee
Format: Article
Language:English
Published: PeerJ Inc. 2013-04-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/71.pdf
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author Suk Young Hong
Budiman Minasny
Kyung Hwa Han
Yihyun Kim
Kyungdo Lee
author_facet Suk Young Hong
Budiman Minasny
Kyung Hwa Han
Yihyun Kim
Kyungdo Lee
author_sort Suk Young Hong
collection DOAJ
description The knowledge on the spatial distribution of soil available water capacity at a regional or national extent is essential, as soil water capacity is a component of the water and energy balances in the terrestrial ecosystem. It controls the evapotranspiration rate, and has a major impact on climate. This paper demonstrates a protocol for mapping soil available water capacity in South Korea at a fine scale using data available from surveys. The procedures combined digital soil mapping technology with the available soil map of 1:25,000. We used the modal profile data from the Taxonomical Classification of Korean Soils. The data consist of profile description along with physical and chemical analysis for the modal profiles of the 380 soil series. However not all soil samples have measured bulk density and water content at −10 and −1500 kPa. Thus they need to be predicted using pedotransfer functions. Furthermore, water content at −10 kPa was measured using ground samples. Thus a correction factor is derived to take into account the effect of bulk density. Results showed that Andisols has the highest mean water storage capacity, followed by Entisols and Inceptisols which have loamy texture. The lowest water retention is Entisols which are dominated by sandy materials. Profile available water capacity to a depth of 1 m was calculated and mapped for Korea. The western part of the country shows higher available water capacity than the eastern part which is mountainous and has shallower soils. The highest water storage capacity soils are the Ultisols and Alfisols (mean of 206 and 205 mm, respectively). Validation of the maps showed promising results. The map produced can be used as an indication of soil physical quality of Korean soils.
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spelling doaj.art-8a9146681e6c48c0b406be149e0bcb542023-12-03T10:01:30ZengPeerJ Inc.PeerJ2167-83592013-04-011e7110.7717/peerj.7171Predicting and mapping soil available water capacity in KoreaSuk Young Hong0Budiman Minasny1Kyung Hwa Han2Yihyun Kim3Kyungdo Lee4National Academy of Agricultural Science, Rural Development Administration (RDA), Suwon, Gyeonggi-do, Republic of KoreaDepartment of Environmental Sciences, Faculty of Agriculture and Environment, The University of Sydney, NSW, AustraliaNational Academy of Agricultural Science, Rural Development Administration (RDA), Suwon, Gyeonggi-do, Republic of KoreaNational Academy of Agricultural Science, Rural Development Administration (RDA), Suwon, Gyeonggi-do, Republic of KoreaNational Academy of Agricultural Science, Rural Development Administration (RDA), Suwon, Gyeonggi-do, Republic of KoreaThe knowledge on the spatial distribution of soil available water capacity at a regional or national extent is essential, as soil water capacity is a component of the water and energy balances in the terrestrial ecosystem. It controls the evapotranspiration rate, and has a major impact on climate. This paper demonstrates a protocol for mapping soil available water capacity in South Korea at a fine scale using data available from surveys. The procedures combined digital soil mapping technology with the available soil map of 1:25,000. We used the modal profile data from the Taxonomical Classification of Korean Soils. The data consist of profile description along with physical and chemical analysis for the modal profiles of the 380 soil series. However not all soil samples have measured bulk density and water content at −10 and −1500 kPa. Thus they need to be predicted using pedotransfer functions. Furthermore, water content at −10 kPa was measured using ground samples. Thus a correction factor is derived to take into account the effect of bulk density. Results showed that Andisols has the highest mean water storage capacity, followed by Entisols and Inceptisols which have loamy texture. The lowest water retention is Entisols which are dominated by sandy materials. Profile available water capacity to a depth of 1 m was calculated and mapped for Korea. The western part of the country shows higher available water capacity than the eastern part which is mountainous and has shallower soils. The highest water storage capacity soils are the Ultisols and Alfisols (mean of 206 and 205 mm, respectively). Validation of the maps showed promising results. The map produced can be used as an indication of soil physical quality of Korean soils.https://peerj.com/articles/71.pdfDigital soil mappingSoil water retentionHydraulic propertiesField capacityAndosols
spellingShingle Suk Young Hong
Budiman Minasny
Kyung Hwa Han
Yihyun Kim
Kyungdo Lee
Predicting and mapping soil available water capacity in Korea
PeerJ
Digital soil mapping
Soil water retention
Hydraulic properties
Field capacity
Andosols
title Predicting and mapping soil available water capacity in Korea
title_full Predicting and mapping soil available water capacity in Korea
title_fullStr Predicting and mapping soil available water capacity in Korea
title_full_unstemmed Predicting and mapping soil available water capacity in Korea
title_short Predicting and mapping soil available water capacity in Korea
title_sort predicting and mapping soil available water capacity in korea
topic Digital soil mapping
Soil water retention
Hydraulic properties
Field capacity
Andosols
url https://peerj.com/articles/71.pdf
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AT budimanminasny predictingandmappingsoilavailablewatercapacityinkorea
AT kyunghwahan predictingandmappingsoilavailablewatercapacityinkorea
AT yihyunkim predictingandmappingsoilavailablewatercapacityinkorea
AT kyungdolee predictingandmappingsoilavailablewatercapacityinkorea