Agriculture Reference
In-Depth Information
organic matter (Antle, 1996). Management practices are to a large degree
driven by economic factors. Thus, the feedbacks and interactions between
biophysical and economic components that govern the larger human-
dominated ecosystem are fundamental to predicting potential changes in
soil C amounts and dynamics. This is particularly true for assessing the
potential outcome of greenhouse gas mitigation policies in which changes in
soil C and other soil-derived greenhouse gases will have a direct effect on
farm income. However, it is equally true for assessing the effects on soil C of
climate change or other changes in policies or economics to which farmers
respond. Understanding regional soil organic matter dynamics, as driven by
economically based management decisions, will require a whole-ecosystem
approach where the interactions between SOM, crop yields, economic
returns and subsequent changes in management feedback to determine
SOM and crop responses (Fig. 2.1). Integrating SOM models into such
systems will provide valuable tools to guide policy and decision-making on
many of the pressing environmental issues facing society.
References
Antle, J.M. (1996) Methodological issues in assessing potential impacts of climate
change on agriculture. Agricultural and Forest Meteorology 80, 67-85.
Arah, J.R.M. (2000) Modelling SOM cycling in rice-based production systems.
In: Proceedings of an International Workshop on C and N cycling in flooded soil .
International Rice Research Institute, Philippines (in press).
Balesdent, J., Mariotti, A. and Guillet, B. (1987) Natural 13 C abundance as a tracer
for studies of soil organic matter dynamics. Soil Biology and Biochemistry 19,
25-30.
Bosatta, E. and Agren, G.I. (1996) Theoretical analyses of carbon and nutrient
dynamics in soil profiles. Soil Biology and Biochemistry 28, 1523-1531.
Burke, I.C., Kittel, T.G.F., Lauenroth, W.K., Snook, P., Yonker, C.M. and
Parton, W.J. (1991) Regional analysis of the central Great Plains: sensitivity to
climate variability. Bioscience 41, 685-692.
Christensen, B.T. (1996) Matching measurable soil organic matter fractions with
conceptual pools in simulation models of carbon turnover: revision of model
structure. In: Powlson, D.S., Smith, P. and Smith, J.U. (eds) Evaluation of Soil
Organic Matter Models Using Existing, Long-term Datasets . NATO ASI Series,
Global Environmental Change , Vol. 38, Springer-Verlag, Berlin, pp. 143-159.
Collins, H.P., Elliott, E.T., Paustian, K., Bundy, L.G., Dick, W.A., Huggins, D.R.,
Smucker, A.J.M. and Paul, E.A. (2000) Soil carbon pools and fluxes in
long-term corn belt agroecosystems. Soil Biology and Biochemistry 32, 157-168.
Donigian, A.S. Jr., Barnwell, T.O., Jackson IV, R.B., Patwardhan, A.S., Weinrick,
K.B., Rowell, A.L., Chinnaswamy, R.V. and Cole, C.V. (1994) Assessment
of Alternative Management Practices and Policies Affecting Soil Carbon in
Agroecosystems of the Central United States . US EPA, Report EPA/600/R-94/067,
Office of Research and Development, Washington, DC.
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