In this synthesis, we assess present research and anticipate future development needs in
modeling water quality in watersheds. We first discuss areas of potential improvement in the …

This overview article for the special series,“Bayesian Networks in Environmental and
Resource Management,” reviews 7 case study articles with the aim to compare Bayesian …

We propose to combine two quite powerful ideas that have recently appeared in the Markov
chain Monte Carlo literature: adaptive Metropolis samplers and delayed rejection. The …

Mathematical simulation models are commonly applied to analyze experimental or
environmental data and eventually to acquire predictive capabilities. Typically these models …

The last decade has seen a dramatic increase in the size of western Lake Erie
cyanobacteria blooms, renewing concerns over phosphorus loading, a common driver of …

Cyanobacterial harmful algal blooms (cyanoHAB) cause human and ecological health
problems in lakes worldwide. The timely distribution of satellite-derived cyanoHAB data is …

In the context of aquatic biogeochemical modelling, there is an increasing pressure to
explicitly treat multiple biogeochemical cycles and to increase the functional diversity of …

Numerical modeling has emerged over the last several decades as a widely accepted tool
for investigations in environmental sciences. In estuarine research, hydrodynamic and …

To describe the underlying processes involved in oceanic plankton dynamics is crucial for
the determination of energy and mass flux through an ecosystem and for the estimation of …

The procedures involved in model development may be set out as a ten step process,
beginning with defining the purpose of the model and ending with evaluation of the …