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- W2090700191 abstract "Recent interest in ecosystem modelling emerges from large-scale problems such as acid deposition or climate change. Knowledge about future states of ecosystems can be based on management experience and scientific observation. The former cannot be extrapolated outside the range of past variations in boundary conditions. Thus, the long-term changes in the chemical or physical climate require the identification of key-processes for successful model predictions. This scientific task is implicitly based on assumptions about the appropriate scale of integration in space and time. No scientific discipline exists by which these assumptions can be formally derived at the ecosystem level. The example of modelling soil and water acidification is used to discuss the possible consequences of a technological or a scientific perception of the problem posed, respectively. These approaches often suffer from inconsistent treatment of their basic assumptions in the first case, and from lack of theory in the latter case. On the basis of the available data and theory the question posed remains undecided. However, there is a risk that focusing ecosystem research on technological perception becomes a self-fulfilling prophecy." @default.
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- W2090700191 date "1990-08-01" @default.
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- W2090700191 title "Ecosystem modelling: Science or technology?" @default.
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- W2090700191 doi "https://doi.org/10.1016/0022-1694(90)90113-c" @default.
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