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Parsimonious modelling of nutrient fluxes for a terrestrial ecosystem on Svalbard


Stapleton, LM and Laybourn-Parry, J and Poulton, PR and Tye, AM and West, HM and Young, SD and Crout, NMJ, Parsimonious modelling of nutrient fluxes for a terrestrial ecosystem on Svalbard, Biogeochemistry, 80, (1) pp. 57-69. ISSN 0168-2563 (2006) [Refereed Article]

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DOI: doi:10.1007/s10533-006-6253-9


Abstract. MBL-MEL, a simple model of ecosystem biogeochemistry, is amended and applied to plant and soil C, 14N and 15N data for the summers of 2001–2003 from Brandalpynten, a maritime high Arctic site on Svalbard following the application of 15N (99 atom%) as 15NO3-N at or 15NH4-N at concentrations of 1 or 5 kg N ha1. Variants of this Parent model are also developed to incorporate: temperature dependence into equations describing nutrient fluxes (Temp model); cryptogams (Cryp model); both features combined (CrypTemp model). Goodness-of-fit (GOF) statistics suggest that the addition of temperature-dependence improves the utility of models with and without cryptogams: the residual weighted sums of squares per data point were 5.69, 3.91, 4.31 and 3.93 for the Parent, Temp, Cryp and CrypTemp models respectively. The application of model selection criteria confirm that the addition of temperaturedependence also improves model generalisability. Across all models, the principal discrepancies between observation and prediction are associated with the inorganic soil 15N pool. We conclude that models in which fluxes are described using simple equations that can be augmented to include additional complexity, are an ideal starting point from which the relationship between GOF and model generalisability can be assessed.

Item Details

Item Type:Refereed Article
Research Division:Biological Sciences
Research Group:Microbiology
Research Field:Microbial ecology
Objective Division:Environmental Management
Objective Group:Management of Antarctic and Southern Ocean environments
Objective Field:Biodiversity in Antarctic and Southern Ocean environments
UTAS Author:Laybourn-Parry, J (Professor Johanna Laybourn-Parry)
ID Code:49092
Year Published:2006
Web of Science® Times Cited:4
Deposited By:Research Division
Deposited On:2007-11-13
Last Modified:2009-06-09

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