A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis

@article{Borsuk2004ABN,
  title={A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis},
  author={M. Borsuk and C. Stow and K. Reckhow},
  journal={Ecological Modelling},
  year={2004},
  volume={173},
  pages={219-239}
}
A Bayesian network consists of a graphical structure and a probabilistic description of the relationships among variables in a system. [...] Key Method These models were developed using a range of methods, including: process-based models statistically fit to long-term monitoring data, Bayesian hierarchical modelling of cross-system data gathered from the literature, multivariate regression modelling of mesocosm experiments, and judgements elicited from scientific experts. The ability of the network to…Expand
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References

SHOWING 1-10 OF 112 REFERENCES
Joint use of multiple environmental assessment models by a Bayesian meta-model: the Baltic salmon case
  • 77
Cross-Scale Modeling of Riparian Ecosystem Responses to Hydrologic Management
  • 31
Enhancing Causal Assessment of Estuarine Fishkills Using Graphical Models
  • 45
On the usefulness of overparameterized ecological models
  • 173
Aggregation and emergence in ecological modelling: integration of ecological levels
  • 64
  • PDF
Data-based mechanistic modelling of environmental, ecological, economic and engineering systems.
  • 292
...
1
2
3
4
5
...