Analysis of community interactions using linear transfer function models
Interactions among populations simulated with several ecosystem models and the interactions among populations in a sealed aquatic microcosm were analyzed using linear transfer function models. A transfer function is composed of the sum of three components: a deterministic transfer function (F), a st...
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| Format: | Book |
| Language: | eng |
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| Online Access: | Get full text |
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| Summary: | Interactions among populations simulated with several ecosystem models and the interactions among populations in a sealed aquatic microcosm were analyzed using linear transfer function models. A transfer function is composed of the sum of three components: a deterministic transfer function (F), a stochastic input function (G), and a white-noise error time series (e). The model has the form: y(t) = F(x(t), y(t - 1)) + G(n(t), r(t - 1)) + e(t), where y(t) is an output time series, x(t) is an input time series, y(t - 1) is the estimate of y(t - 1) based on F alone, n(t) is an unobserved white-noise time series, and r(t - 1) is the estimate of the residual series r(t - 1) = y(t - 1) - y(t - 1) based on G alone. |
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| ISSN: | 0304-3800 1872-7026 |