Modelling a pike (Esox lucius) population in a lowland river using a cellular automaton

Pauwels, Ine; Mouton, Ans; Baetens, Jan; Nieuland, Steffie Van; Baets, Bernard De; Goethals, Peter

doi:10.1016/j.ecoinf.2012.04.003

Cited by 6 publications

(1 citation statement)

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“…Integrated ecological models can support environmental management and policy development in various ways. These models provide insights into water-related disease control [4], assessments of environmental impact of wastewater and combined sewer overflows [5], wastewater treatment selection [6] and improvement [7], ecosystem services analysis [8,9], effects of land use on water quality [10] and aquatic community composition [11], as well as ecological water quality [12], determination of habitat restoration projects [13,14], distribution prediction and control of invasive species [15], integration of ecological insights into flood mitigation [16], and flow control related to reservoir management [17]. Moreover, models can be used for exploration purposes [18] and trade-off analysis [19], and environmental impact assessment [20] to inspire stakeholders and to support decision-making for policy developers.…”

Section: Potential Applications Of Models In Water Managementmentioning

confidence: 99%

Advances in Ecological Water System Modeling: Integration and Leanification as a Basis for Application in Environmental Management

Goethals

Forio

2018

Water

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The art of applied modeling is determining an appropriate balance between integration of more processes and variables for the sake of increasing representativeness and reliability of the models, while also avoiding too long development and simulation times. The latter can be achieved via leanification, which can be based on reducing the number of variables and processes by focusing on key processes in the system and its management, but can be as well induced by using simplified methods for the description of relations among variables (such as regression and probabilistic methods) to, for instance, reduce the simulation time. In this way, integration and leanification can be combined and together contribute to models that are more relevant and convenient for use by water managers. In particular, it is crucial to find a good balance between the integration level of ecological processes answering environmental challenges in a relevant manner and costs for data collection and model development (and application).

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