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Synthetic Constraint of Soil C Dynamics Using 50 Years of 14C and Net Primary Production (NPP) in a New Zealand Grassland Site

Published online by Cambridge University Press:  09 February 2016

W Troy Baisden*
Affiliation:
National Isotope Centre, GNS Science, New Zealand
E D Keller
Affiliation:
National Isotope Centre, GNS Science, New Zealand
*
1Corresponding author. Email: [email protected].

Abstract

Time-series radiocarbon measurements have substantial ability to constrain the size and residence time of the soil C pools commonly represented in ecosystem models. 14C remains unique in its ability to constrain the size and turnover rate of the large stabilized soil C pool with roughly decadal residence times. The Judgeford soil, near Wellington, New Zealand, provides a detailed 11-point 14C time series enabling observation of the incorporation and loss of bomb 14C in surface soil from 1959–2002. Calculations of the flow of C through the plant-soil system can be improved further by combining the known constraints of net primary productivity (NPP) and 14C-derived C turnover. We show the Biome-BGC model provides good estimates of NPP for the Judgeford site and estimates NPP from 1956–2010. Synthesis of NPP and 14C data allows parameters associated with the rapid turnover “active” soil C pool to be estimated. This step is important because it demonstrates that NPP and 14C can provide full data-based constraint of pool sizes and turnover rates for the 3 pools of soil C used in nearly all ecosystem and global C-cycle models.

Type
Articles
Copyright
Copyright © 2013 by the Arizona Board of Regents on behalf of the University of Arizona 

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References

Baisden, WT, Amundson, R. 2003. An analytical approach to ecosystem biogeochemistry modeling. Ecological Applications 13(3):649–63.Google Scholar
Baisden, WT, Canessa, S. 2013. Using 50 years of soil radiocarbon data to identify optimal approaches for estimating soil carbon residence times. Nuclear Instruments and Methods in Physics Research B 294:588–92.CrossRefGoogle Scholar
Baisden, WT, Parfitt, RL. 2007. Bomb 14C enrichment indicates decadal C pool in deep soil? Biogeochemistry 85(1):5968.Google Scholar
Baisden, WT, Amundson, R, Brenner, DL, Cook, AC, Kendall, C, Harden, J. 2002. A multi-isotope C and N modeling analysis of soil organic matter turnover and transport as a function of soil depth in a California annual grassland soil chronosequence. Global Biogeochemical Cycles 16(4):1135, doi: 1029/2001GB001823.Google Scholar
Baisden, WT, Keller, ED, Timar, L, Smeaton, D, Clark, A, Ausseil, A, Power, W, Zhang, W. 2010. New Zealand's pasture production in 2020 and 2050. GNS Science Consultancy Report 2010/154. p 188.Google Scholar
Baisden, WT, Parfitt, RL, Ross, C, Schipper, LA, Canessa, S. 2013. Evaluating 50 years of time-series soil radiocarbon data: towards routine calculation of robust C residence times. Biogeochemistry 112(1–3):129–37.Google Scholar
Currie, K, Brailsford, G, Nichol, S, Gomez, A, Sparks, R, Lassey, K, Riedel, K. 2011. Tropospheric 14CO2 at Wellington, New Zealand: the world's longest record. Biogeochemistry 104(1):522.CrossRefGoogle Scholar
Gaudinski, JB, Trumbore, SE, Davidson, EA, Zheng, SH. 2001. Soil carbon cycling in a temperate forest: radiocarbon-based estimates of residence times, sequestration rates and partitioning of fluxes. Biogeochemistry 52(1):113–4.Google Scholar
Hart, PBS, August, JA. 1988. Use of nitrogen fertiliser in restoration of pasture productivity and soil fertility after topsoil mining. New Zealand Journal of Agricultural Research 31:439–33.Google Scholar
Hart, PBS, August, JA, West, AW. 1989. Long-term consequences of topsoil mining on select biological and physical characteristics of two New Zealand loessial soils under grazed pasture. Land Degradation and Rehabilitation 1:7788.CrossRefGoogle Scholar
Jenkinson, DS. 1990. The turnover of organic carbon and nitrogen in soil. Philosophical Transactions Royal Society of London: Biological Sciences 329(1255):361–8.Google Scholar
Jenkinson, DS, Coleman, K. 2008. The turnover of organic carbon in subsoils. Part 2 modelling carbon turnover. European Journal of Soil Science 59:400–13.Google Scholar
Jenkinson, DS, Adams, DE, Wild, A. 1991. Model estimates of CO2 emissions from soil in response to global warming. Nature 351(6324):304–6.CrossRefGoogle Scholar
Keller, E, Baisden, W, Timar, L. 2011. Adapting the Biome-BGC model to New Zealand pastoral agriculture: climate change and land-use change. AGU Fall Meeting Abstracts. GC23C-0955.Google Scholar
O'Brien, BJ, Stout, JD. 1978. Movement and turnover of soil organic matter as indicated by carbon isotope measurements. Soil Biology and Biochemistry 10:309–17.Google Scholar
Parton, WJ, Schimel, DS, Cole, CV, Ojima, DS. 1987. Analysis of factors controlling soil organic matter levels in Great Plains grasslands. Soil Science Society of America Journal 51(5):1173–9.CrossRefGoogle Scholar
Radcliffe, JE. 1974. Seasonal distribution of pasture in New Zealand: I. methods of measurement. New Zealand Journal of Experimental Agriculture 2:337–40.Google Scholar
Thornton, PE, Rosenbloom, NA. 2005. Ecosystem model spin-up: estimating steady state conditions in a coupled terrestrial carbon and nitrogen cycle model. Ecological Modelling 189(1–2):2548.CrossRefGoogle Scholar
Trumbore, S. 2009. Radiocarbon and soil carbon dynamics. Annual Review of Earth and Planetary Sciences 37(1):4766.Google Scholar