Abstract
We tested the potential of estimating in-field (in situ) nitrogen (N) transformation rates based on soil temperature data and N transformation parameters (Q10 and N transformation rates at standard temperature) obtained through laboratory incubations at three constant temperatures for 4 weeks. This test was conducted based on a comparison between in situ measurements and estimates using soils from 16 sites across 9 regions within the Japanese archipelago. The actual in situ N mineralization and nitrification rates measured using the buried-bag method at 0–50-cm-soil depth were 111 ± 34 and 106 ± 45 kg N ha−1 year−1, respectively, and estimates of both the rate and the amount were largely accurate. For rate alone, estimates were accurate in the 0–10-cm soil layer for annual and seasonal averages (except for spring–summer) whereas for amount alone, estimates were accurate to depths of 50 and 30 cm for N mineralization and nitrification, respectively. Thus, estimates of the rates and amounts were approximately equal to the actual in situ rate/amount, given the wide range of prediction intervals of the field measurement data. The differences between the estimates of N transformation rates derived from hourly measured and monthly average soil temperatures were negligible. Therefore, in situ soil N transformations, which are laborious to measure in the field, have the potential to be estimated from a combination of monthly average soil temperatures and N transformation parameters, which are relatively straightforward to obtain through laboratory incubation.
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References
Aber JD, Ollinger SV, Driscoll CT (1997) Modeling nitrogen saturation in forest ecosystems in response to land use and atmospheric deposition. Ecol Model 101:61–78
Adams M, Attiwill PM (1986) Nutrient cycling and nitrogen mineralization in eucalypt forests of south-eastern Australia II. Indices of nitrogen mineralization. Plant Soil 92:341–362
Asada K, Eguchi S, Urakawa R, Itahashi S, Matsumaru T, Nagasawa T, Aoki K, Nakamura K, Katou H (2013) Modifying the LEACHM model for process-based prediction of nitrate leaching from cropped Andosols. Plant Soil 373:609–625
Binkley D, Hart SC (1989) The components of nitrogen availability assessments in forest soils. Advances in soil science. Springer-Verlag, New York, pp 57–112
DiStefano JF, Gholz HLH (1986) A proposed use of ion exchange resins to measure nitrogen mineralization and nitrification in intact soil cores. Commun Soil Sci Plant Anal 17:989–998
Eno CF (1960) Nitrate production in the field by incubating the soil in polyethylene bags. Soil Sci Soc Am Proc 24:277–279
Groffman PM, Driscoll CT, Fahey TJ, Hardy JP, Fitzhugh RD, Tierney GL (2001) Colder soils in a warmer world: a snow manipulation study in a northern hardwood forest ecosystem. Biogeochemistry 56:135–150
Hart S, Stark J, Davidson E, Firestone M (1994) Nitrogen mineralization, immobilization, and nitrification. In: SSSA book series, methods of soil analysis, Part 2. Microbiol Biochem Prop 5.2:985–1018
Hishi T, Urakawa R, Tashiro N, Maeda Y, Shibata H (2014) Seasonality of factors controlling N mineralization rates among slope positions and aspects in cool-temperate deciduous natural forests and larch plantations. Biol Fertil Soils 50:343–356
Hishi T, Tashiro N, Maeda Y, Urakawa R, Shibata H (2015) Spatial patterns of fine root biomass and performances of understory dwarf bamboo and trees along with the gradient of soil N availability in broad-leaved natural forests and larch plantation. Plant Root 9:85–94
Hutson JL (2005) LEACHM (leaching estimation and chemistry model) ver. 4.1. Research Series No. R03-1. Department of Crop and Soil Sciences, Cornell University, Ithaca, revision version of 2003
Khanna PK, Raison RJ (2013) In situ core methods for estimating soil mineral-N fluxes: re-evaluation based on 25 years of application and experience. Soil Biol Biochem 64:203–210
Macduff JH, White RE (1985) Net mineralization and nitrification rates in a clay soil measured and predicted in permanent grassland from soil temperature and moisture content. Plant Soil 86:151–172
Maeda M (2008) Models to evaluate nitrogen flows in various scale as a pedon, field and a water catchment 2. Introduction to simulation models of nitrogen dynamics in upland fields. Jpn J Soil Sci Plant Nutr 79:89–99 (in Japanese)
R Core Team (2015) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
Raison RJ, Connell MJ, Khanna PK (1987) Methodology for studying fluxes of soil mineral-N in situ. Soil Biol Biochem 19:521–530
Schimel JP, Bennett J (2004) Nitrogen mineralization: challenges of a changing paradigm. Ecology 85:591–602
Sierra J (2002) Nitrogen mineralization and nitrification in a tropical soil: effects of fluctuating temperature conditions. Soil Biol Biochem 34:1219–1226
Šimůnek J, Šejna MA, Saito H, Sakai M, van Genuchten MTh (2013) The HYDRUS-1D software package for simulating the movement of water, heat, and multiple solutes in variably saturated media, version 4.17, HYDRUS software series 3, Department of Environmental Sciences, University of California Riverside, Riverside, California, USA, p 343
Urakawa R, Shibata H, Kuroiwa M, Inagaki Y, Tateno R, Hishi T, Fukuzawa K, Hirai K, Toda H, Oyanagi N, Nakata M, Nakanishi A, Fukushima K, Enoki T, Suwa Y (2014) Effects of freeze–thaw cycles resulting from winter climate change on soil nitrogen cycling in ten temperate forest ecosystems throughout the Japanese archipelago. Soil Biol Biochem 74:82–94
Urakawa R, Ohte N, Shibata H, Tateno R, Hishi T, Fukushima K, Inagaki Y, Hirai K, Oda T, Oyanagi N, Nakata M, Toda H, Kenta T, Fukuzawa K, Watanabe T, Tokuchi N, Nakaji T, Saigusa N, Yamao Y, Nakanishi A, Enoki T, Ugawa S, Hayakawa A, Kotani A, Kuroiwa M, Isobe K (2015) Biogeochemical nitrogen properties of forest soils in the Japanese archipelago. Ecol Res 30:1–2
Urakawa R, Ohte N, Shibata H, Isobe K, Tateno R, Oda T, Hishi T, Fukushima K, Inagaki Y, Hirai K, Oyanagi N, Nakata M, Toda H, Kenta T, Kuroiwa M, Watanabe T, Fukuzawa K, Tokuchi N, Ugawa S, Enoki T, Nakanishi A, Saigusa N, Yamao Y, Kotani A (2016) Factors contributing to soil nitrogen mineralization and nitrification rates of forest soils in the Japanese archipelago. For Ecol Manage 361:382–396
Van Miegroet H, Homann PS, Cole DW (1992) Soil nitrogen dynamics following harvesting and conversion of red alder and Douglas fir stands. Soil Sci Soc Am J 56:1311–1318
Vitousek PM, Howarth RW (1991) Nitrogen limitation on land and in the sea: how can it occur? Biogeochemistry 13:87–115
Wienhold BJ (2007) Comparison of laboratory methods and an in situ method for estimating nitrogen mineralization in an irrigated silt-loam soil. Commun Soil Sci Plant Anal 38:1721–1732
Zinati GM, Christenson DR, Harris D (2007) Estimation of field N mineralization from laboratory incubation for sugar beet production in Michigan. Commun Soil Sci Plant Anal 38:827–842
Acknowledgements
This study was conducted as part of the GRENE (Green Network of Excellence) environmental information project (PI: Motomi Itoh, The University of Tokyo) supported by the Ministry of Education, Culture, Sports, Science and Technology, Japan. This work was also supported by the ReSIN-III (Regional and comparative Soil Incubation study on Nitrogen dynamics in forest ecosystems) project and Grand-in-Aid for Scientific Research funded by the Japan Society for the Promotion of Science (JP25252026, JP26660127 and JP15K14756). We would like to thank the technical staff of the experimental forests for their support and cooperation.
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Urakawa, R., Ohte, N., Shibata, H. et al. Estimation of field soil nitrogen mineralization and nitrification rates using soil N transformation parameters obtained through laboratory incubation. Ecol Res 32, 279–285 (2017). https://doi.org/10.1007/s11284-016-1420-5
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DOI: https://doi.org/10.1007/s11284-016-1420-5