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Exploring Lake Victoria ecosystem functioning using the Atlantis modeling framework


Nyamweya, C and Sturludottir, E and Tomasson, T and Fulton, EA and Taabu-Munyaho, A and Njiru, M and Stefansson, G, Exploring Lake Victoria ecosystem functioning using the Atlantis modeling framework, Environmental Modelling and Software, 86 pp. 158-167. ISSN 1364-8152 (2016) [Refereed Article]

Copyright Statement

Copyright 2016 Elsevier Ltd

DOI: doi:10.1016/j.envsoft.2016.09.019


Lake Victoria has experienced human induced pressures such as overfishing, introduction of alien species, increased eutrophication and climate change impacts. However, there is limited understanding of the system dynamics, major processes, drivers and responses to the changes. To address this challenge, we developed the first end-to-end whole ecosystem model (Atlantis) for the lake. The model is spatially resolved into 12 unique dynamic areas based on depth, species composition, physical-chemical characteristics and fisheries management zones. A total of 38 functional groups constitute the biological model. Four fishing fleets with different targeting options are simulated. Reliability of the model is confirmed by the good fit of simulations output to observational data sets. Herein, we describe the evolution of the biophysical system, illustrating how it responded to the aforementioned induced perturbations since 1958. The constructed virtual Lake Victoria ecosystem model provides a platform for exploring the impact of management interventions before actual implementation.

Item Details

Item Type:Refereed Article
Keywords:Atlantis, ecosystem, invasive species, Lake Victoria, simulation, management
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Fisheries sciences
Research Field:Aquaculture and fisheries stock assessment
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Assessment and management of terrestrial ecosystems
UTAS Author:Fulton, EA (Dr Elizabeth Fulton)
ID Code:118295
Year Published:2016
Web of Science® Times Cited:16
Deposited By:Directorate
Deposited On:2017-07-10
Last Modified:2018-05-10

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