Abstract
It is possible to construct models, which describe and predict the annual course of net N-mineralization in agricultural soils, using the Group Method of Data Handling (GMDH), a method of heuristic self-organization. The advantage of this method is that complex ecosystems can be modeled without knowing anything about their structure and with only very few data points. The three input variables most often selected by GMDH for the different models have been soil temperature, soil water content and ammonification potential. Other parameters, which have been measured but usually not selected by GMDH as suitable input parameter for models of net N-mineralization are: substrate-induced respiration, soil respiration, mineralization potential, and microbial biomass C and N.
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Rohde, A. Modeling of net N-mineralization with a method of heuristic self-organization (GMDH). Biol Fertil Soils 22, 336–341 (1996). https://doi.org/10.1007/BF00334579
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DOI: https://doi.org/10.1007/BF00334579