Delineation of Japanese soil temperature regime map

Takata, Yusuke; Kuwagata, Tsuneo; Kohyama, Kazunori; Obara, Hiroshi

doi:10.1080/00380768.2011.568372

Cited by 22 publications

(15 citation statements)

References 17 publications

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“…Soil temperature is one of the most important determinants in Soil Taxonomy because it controls soil formation through pedogenesis and is also a key factor of plant growth. Soil temperature regime maps are essential for accurate identification of soils and inventory of natural resources (Bai et al, 2010), providing an indispensable classification that, when superimposed on soil type classification, permits the precise interpretation and assessment of land use (Takata et al, 2011). Investigation of potential changes in soil temperature is important for the research of ecohydrological processes, resource development, and climate change (Anaya-Romero et al, 2015;Buendia et al, 2015;Cerdà, 2000Cerdà, , 1998Liu et al, 2014;Wang et al, 2015).…”

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confidence: 99%

Climate-Induced Shifts in Global Soil Temperature Regimes

et al. 2016

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Soil temperature is a key factor of plant growth and biological enzyme activities occurring in the soil, affected by the land cover, the evapotranspiration rate, the albedo, and the energy budget of the soil surface. In recent decades, efforts have been made to conserve soils against nonsustainable anthropogenic pressures. Changes in climate can impose additional threats on soil sustainability, as global scale soil temperature regime alterations are expected under global warming. Here, data from three well-established global climate models, spanning from 1981 to as far as 2120, are used to force the JULES (Joint UK Land Environment Simulator) model and produce simulations of soil temperature, calculating the water and energy budgets of the land surface. Modeled soil temperature data are used to estimate the climate-induced changes in the global soil temperature regimes at three different global warming levels. The results show significant shifts in the soil temperature regime for extended areas of the world, especially in the northern hemisphere. Pergelic and Cryic areas are reduced, whereas the Mesic and Thermic soils gain large areas in all three studied scenarios. Implications of the warming patterns might indicate the northward shift of various croplands in regions that until now their cultivation was not possible.

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confidence: 99%

Climate-Induced Shifts in Global Soil Temperature Regimes

et al. 2016

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“…Soil temperature (ST) was obtained from the “Soil Information Web viewer” (National Institute for Agro-Environmental Science, http://agrimesh.dc.affrc.go.jp/soil_db/ ). Spatial resolution of this map is 1 km ( 55 )…”

Section: Methodsmentioning

confidence: 99%

Combined Analyses of Bacterial, Fungal and Nematode Communities in Andosolic Agricultural Soils in Japan

et al. 2012

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We simultaneously examined the bacteria, fungi and nematode communities in Andosols from four agro-geographical sites in Japan using polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) and statistical analyses to test the effects of environmental factors including soil properties on these communities depending on geographical sites. Statistical analyses such as Principal component analysis (PCA) and Redundancy analysis (RDA) revealed that the compositions of the three soil biota communities were strongly affected by geographical sites, which were in turn strongly associated with soil characteristics such as total C (TC), total N (TN), C/N ratio and annual mean soil temperature (ST). In particular, the TC, TN and C/N ratio had stronger effects on bacterial and fungal communities than on the nematode community. Additionally, two-way cluster analysis using the combined DGGE profile also indicated that all soil samples were classified into four clusters corresponding to the four sites, showing high site specificity of soil samples, and all DNA bands were classified into four clusters, showing the coexistence of specific DGGE bands of bacteria, fungi and nematodes in Andosol fields. The results of this study suggest that geography relative to soil properties has a simultaneous impact on soil microbial and nematode community compositions. This is the first combined profile analysis of bacteria, fungi and nematodes at different sites with agricultural Andosols.

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“…Lack of soil temperature data was notable during the formative years of the development of soil taxonomy, resulting in several suggested methods for estimation of MAST including: (a) averaging four seasonal measurements at a depth of 50 cm, or (b) adding 1 ˚C to the mean annual air temperature (MAAT; Smith et.al., 1964). The offset of MAST to MAAT varies widely and was noted to range from 1 to 3.5 ˚C in the former Soviet Union (Shul'gin, 1965) and from 1.1 to 3.6 ˚C in Japan (Takata et al, 2011).…”

Section: Core Ideasmentioning

confidence: 99%

“…The spatial representations were developed from linear models using elevation as a predictor and processed using geospatial techniques. Data from 96 stations throughout Japan, with varied periods of record of direct soil temperature observation, were used to investigate soil temperature and meteo-geographical relationships and to delineate STRs (Takata et al, 2011). Regression kriging and ordinary kriging techniques were used on 1-kmresolution data to develop MAST-MAAT offset and MAST maps, which were also used to define STR at the pixel level.…”

Section: Core Ideasmentioning

confidence: 99%

“…An initial goal was to examine the relationship of the offset with the objective of developing an offset surface that could be directly applied to MAAT raster layers for predicting MAST, analogous to Takata et al (2011). Offset exhibits near-random variability in the study area with respect to independent variables longitude and elevation.…”

Section: Relationship Of Offset and Mast With Major Variablesmentioning

confidence: 99%

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Modeling the thermic soil temperature regime boundary of the eastern United States

D'Avello¹,

Bathgate

Thompson

2021

Soil Science Soc of Amer J

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Within U.S. soil taxonomy,soil temperature regimes (STRs) are recognized and incorporated in the classification and mapping of soils. Although knowledge of STR can inform crop selection, yield estimates, and nutrient management decisions, detailed and current maps of STRs derived from measured data are not available for most of the United States. Soil temperature measurements at the prescribed depth of 50 cm were summarized for 69 Soil Climate Analysis Network (SCAN) stations in the eastern United States. Mean annual soil temperature (MAST) was calculated for the 2005-2015 period from monthly averages calculated from daily soil temperature observations. A prediction equation for MAST was developed using mean annual air temperature (MAAT) from the PRISM (Parameter-elevation Regressions on Independent Slopes Model) group as a predictor: MAST = 2.49 + (0.91 × MAAT). The adjusted r 2 was .96 with a RMSE of 0.74 ˚C and mean absolute error of 0.59 ˚C based on 10-fold cross-validation. Orographic influence is incorporated in PRISM MAAT, yielding a simple model. The MAST surfaces were calculated by applying the prediction equation to MAAT grids for the 1895-2015 period. The yearly MAST surfaces allow estimation of STR over time and for various summary periods including the 1895-2015 record, 30-yr normal, and probabilities based on individual years for the 1895-2015 period. Based on this investigation, the mesic-thermic STR boundary occurs north of the presently recognized location, is dynamic, and is supported by existing native plant communities associated with thermic STR. INTRODUCTIONSoil temperature is a dynamic soil property that influences the physical, chemical, and biological processes in the soil (Soil Survey Staff, 2014). Solar radiation is the primary source of heat entering the soil (Shul'gin, 1965). Local site characteristics including land cover, slope aspect, slope gradient, and the

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Delineation of Japanese soil temperature regime map

Cited by 22 publications

References 17 publications

Climate-Induced Shifts in Global Soil Temperature Regimes

Climate-Induced Shifts in Global Soil Temperature Regimes

Combined Analyses of Bacterial, Fungal and Nematode Communities in Andosolic Agricultural Soils in Japan

Modeling the thermic soil temperature regime boundary of the eastern United States

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