Reducing model complexity via output sensitivity
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DOI: 10.1016/j.ecolmodel.2007.04.013
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Cited by:
- Muzy, A. & Nutaro, J.J. & Zeigler, B.P. & Coquillard, P., 2008. "Modeling and simulation of fire spreading through the activity tracking paradigm," Ecological Modelling, Elsevier, vol. 219(1), pages 212-225.
- Bar Massada, Avi & Carmel, Yohay, 2008. "Incorporating output variance in local sensitivity analysis for stochastic models," Ecological Modelling, Elsevier, vol. 213(3), pages 463-467.
- Bartsev, Sergey I. & Degermendzhi, Andrey G. & Erokhin, Dmitry V., 2008. "Principle of the worst scenario in the modelling past and future of biosphere dynamics," Ecological Modelling, Elsevier, vol. 216(2), pages 160-171.
- Gibbons, J.M. & Wood, A.T.A. & Craigon, J. & Ramsden, S.J. & Crout, N.M.J., 2010. "Semi-automatic reduction and upscaling of large models: A farm management example," Ecological Modelling, Elsevier, vol. 221(4), pages 590-598.
- Piqueira, J.R.C. & de Mattos, S.H.V.L. & Vasconcelos-Neto, J., 2009. "Measuring complexity in three-trophic level systems," Ecological Modelling, Elsevier, vol. 220(3), pages 266-271.
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Keywords
Large ecosystem models; Complexity; Eliminating rates; Simplifying state equations; Model order reduction;All these keywords.
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