Status of Spatial Soil Information for Agricultural Simulation Capacity in Korea
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초록
Large-scale adoption of alternative agricultural practices is needed to manage farm productivity and resources under global changes. Ecosystem models are a tool for developing and evaluating potential solutions at management and policy scales. However, data collection and compilation often lack documentation that hinders model calibration and testing. The objectives of this study were to describe the current soil datasets and to combine soil property data from various sources that are sufficient to support the use of agricultural models under Korean conditions. Numerous sources provide soil data that describe the farm environment by land cover, such as rice and other field crops. The interquartile range of soil organic carbon was 9.10–14.50 g kg-1 across paddy and non-rice field systems. The results suggest that it is premature to perform site-specific simulations of farming systems due to no direct carbon accounting and hydrological conditions of the soil. Global gridded soil information, such as SoilGrids, may supplement the local data, especially soil organic carbon (the interquartile range of 23.43–36.92 g kg-1). However, the descriptive statistics of soil properties extracted from the datasets were not in agreement. Because the Korean agricultural land is characterized by small size (less than 1 ha) and family operation as a management unit, it is crucial to build datasets more representative of small-size farms and relevant to the new generation of models.
Abstract
Large-scale adoption of alternative agricultural practices is needed to manage farm productivity and resources under global changes. Ecosystem models are a tool for developing and evaluating potential solutions at management and policy scales. However, data collection and compilation often lack documentation that hinders model calibration and testing. The objectives of this study were to describe the current soil datasets and to combine soil property data from various sources that are sufficient to support the use of agricultural models under Korean conditions. Numerous sources provide soil data that describe the farm environment by land cover, such as rice and other field crops. The interquartile range of soil organic carbon was 9.10–14.50 g kg-1 across paddy and non-rice field systems. The results suggest that it is premature to perform site-specific simulations of farming systems due to no direct carbon accounting and hydrological conditions of the soil. Global gridded soil information, such as SoilGrids, may supplement the local data, especially soil organic carbon (the interquartile range of 23.43–36.92 g kg-1). However, the descriptive statistics of soil properties extracted from the datasets were not in agreement. Because the Korean agricultural land is characterized by small size (less than 1 ha) and family operation as a management unit, it is crucial to build datasets more representative of small-size farms and relevant to the new generation of models.
참고문헌 (50)
- Andersson S, "Influence of pH and temperature on microbial activity, substrate availability of soil-solution bacteria and leaching of dissolved organic carbon in a mor humus", Soil Biol. Biochem, 33, pp.1181~1191 (2001)
- Campbell EE, "Current developments in soil organic matter modeling and the expansion of model applications: A review", Environ. Res. Lett, 10, pp.123004~ (2015)
- Challinor AJ, "Crops and climate change : Progress, trends, and challenges in simulating impacts and informing adaptation", J. Exp. Bot, 60, pp.2775~2789 (2009)
- Cole CV, "Global estimates of potential mitigation of greenhouse gas emissions by agriculture", Nutr. Cycl. Agroecosys, 49, pp.221~228 (1997)
- De GraaffMA, "Interactions between plant growth and soil nutrient cycling under elevated CO2 : A meta-analysis", Global Change Biol, 12, pp.2077~2091 (2006)
- De Gryze S, "Assessing the potential for greenhouse gas mitigation in intensively managed annual cropping systems at the regional scale", Agric. Ecosyst. Environ, 144, pp.150~158 (2011)
- De Gryze S, "Simulating greenhouse gas budgets of four California cropping systems under conventional and alternative management", Ecol. Appl, 20, pp.1805~1819 (2010)
- Del Grosso SJ, "Modeling carbon and nitrogen dynamics for soil management", pp.303~332 (2001), CRC Press
- Follett RF, "Soil management concepts and carbon sequestration in cropland soils", Soil Till. Res, 61, pp.77~92 (2001)
- Frey SD, "The temperature response of soil microbial efficiency and its feedback to climate", Nat. Clim. Change, 3, pp.395~398 (2013)
- Govaerts B, "Conservation agriculture and soil carbon sequestration : Between myth and farmer reality", Crit. Rev. Plant Sci, 28, pp.97~122 (2009)
- Hengl T, "SoilGrids250m: Global gridded soil information based on machine learning", Plos One, 12(2), pp.e0169748~ (2017)
- Houghton RA, "The annual net flux of carbon to the atmosphere from changes in land use 1850-1990", Tellus B, 51, pp.298~313 (1999)
- Hunt JR, "The realities of climate change, conservation agriculture and soil carbon sequestration", Global Change Biol, 26, pp.3188~3189 (2020)
- Climate change 2022: Impacts, adaptation and vulnerability. contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change, "IPCC", 3068~ (2022)
- Jenny H, "Factors of soil formation, a system of quantitative pedology" (1941), McGraw-Hill
- Jeong S, "Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea", Sci. Total Environ, 802, pp.149726~ (2022)
- Johnston AE, "The importance of long-term experiments in agriculture: Their management to ensure continued crop production and soil fertility; the Rothamsted experience", Eur. J. Soil Sci, 69, pp.113~125 (2018)
- Jones JW, "Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science", Agr. Syst, 155, pp.269~288 (2017)
- 김준환, "기후변화에 따른 작물의 수량 예측을 위한 시스템 요구도 분석", 한국농림기상학회지, 17(1), pp.1~14 (2015), 한국농림기상학회[DOI]
- 김광수, "국내 작물모형의 개발 및 활용", 한국농림기상학회지, 20(2), pp.145~148 (2018), 한국농림기상학회
- Latham J, "Global Land Cover SHARE (GLC-SHARE) database Beta-Release Version 1.0", pp.39~ (2014), FAO
- Lee J, "A method for soil management assessment in an unreplicated commercial field", Soil Res, 60, pp.743~754 (2022)
- Lee J, "Effect of climate change on field crop production in California's Central Valley", Clim. Change, 109, pp.335~353 (2011)
- Lee J, "Determining soil carbon stock changes : Simple bulk density corrections fail", Agric. Ecosyst. Environ, 134, pp.251~256 (2009)
- Li C, "Quantifying greenhouse gas emissions from soils : Scientific basis and modeling approach", J. Soil Sci. Plant Nutr, 53, pp.344~352 (2007)
- Li CS, "Modeling trace gas emissions from agricultural ecosystems", Nutr. Cycling Agroecosyst, 58, pp.259~276 (2000)
- Lundy ME, "Nitrogen fertilization reduces yield declines following no-till adoption", Field Crops Res, 183, pp.204~210 (2015)
- Mosier AR, "Net global warming potential and greenhouse gas intensity in irrigated cropping systems in Northeastern Colorado", J. Environ. Qual, 35, pp.1584~1598 (2006)
- Oksanen L, "Logic of experiments in ecology: Is pseudoreplication a pseudoissue?", Oikos, 94, pp.27~38 (2001)
- Parton WJ, "Generalized model for N2 and N2O production from nitrification and denitrification", Global Biogeochem. Cycles, 10, pp.401~412 (1996)
- Paustian K, "Climate-smart soils", Nature, 532, pp.49~57 (2016)
- Pittelkow CM, "Productivity limits and potentials of the principles of conservation agriculture", Nature, 517, pp.365~U482 (2015)
- Pittelkow CM, "When does no-till yield more? A global meta-analysis", Field Crops Res, 183, pp.156~168 (2015)
- Poeplau C, "Soil organic carbon stocks are systematically overestimated by misuse of the parameters bulk density and rock fragment content", SOIL, 3, pp.61~66 (2017)
- Pribyl DW, "A critical review of the conventional SOC to SOM conversion factor", Geoderma, 156, pp.75~83 (2010)
- Pulleman MM, "Soil organic matter content as a function of different land use history", Soil Sci. Soc. Am. J, 64, pp.689~693 (2000)
- Sanderman J, "Soil carbon debt of 12, 000 years of human land use", P. Natl. Acad. Sci. USA, 114, pp.9575~9580 (2017)
- Saxton KE, "Estimating generalized soil-water characteristics from texture", Soil Sci. Soc. Am. J, 50, pp.1031~1036 (1986)
- Schlecht E, "Beyond adding up inputs and outputs : Process assessment and upscaling in modelling nutrient flows", Nutr. Cycling Agroecosyst, 70, pp.303~319 (2005)
- Schlesinger WH, "Carbon sequestration in soils", Science, 284, pp.2095~2095 (1999)
- Simmonds MB, "Modeling methane and nitrous oxide emissions from direct-seeded rice systems", J. Geophys. Res. Biogeo, 120, pp.2011~2035 (2015)
- Arable land in Korea, "Statistics Korea", Korean Statistical Information Service, ~ (2021)
- Van Drecht G, "Global modeling of the fate of nitrogen from point and nonpoint sources in soils, groundwater, and surface water", Global Biogeochem. Cycles, 17 (2003)
- Van Groenigen KJ, "Element interactions limit soil carbon storage", P. Natl. Acad. Sci. USA, 103, pp.6571~6574 (2006)
- Viscarra Rossel RA, "Continental-scale soil carbon composition and vulnerability modulated by regional environmental controls", Nat. Geosci, 12, pp.547~552 (2019)
- Wösten JHM, "Development and use of a database of hydraulic properties of European soils", Geoderma, 90, pp.169~185 (1999)
- Xu H, "Investigating spatially varying relationships between total organic carbon contents and pH values in European agricultural soil using geographically weighted regression", Sci. Total Environ, 752, pp.141977~ (2021)
- 유병현, "Preparation of Soil Input Files to a Crop Model Using the Korean Soil Information System", 한국농림기상학회지, 19(3), pp.174~179 (2017), 한국농림기상학회
- Zomer RJ, "Global sequestration potential of increased organic carbon in cropland soils", Sci. Rep, 7 (2017)