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Atlantis: a spatially explicit end‐to‐end marine ecosystem model with dynamically integrated physics, ecology and socio‐economic modules
Citation
Audzijonyte, A and Pethybridge, H and Porobic, J and Gorton, R and Kaplan, I and Fulton, EA, Atlantis: a spatially explicit end‐to‐end marine ecosystem model with dynamically integrated physics, ecology and socio‐economic modules, Methods in Ecology and Evolution, 10, (10) pp. 1814-1819. ISSN 2041-210X (2019) [Refereed Article]
Copyright Statement
© 2019 Commonwealth of Australia.
DOI: doi:10.1111/2041-210X.13272
Abstract
- Marine ecosystem management is increasingly expected to take into account a wide range of ecological and socio‐economic factors. Decision‐making is helped by end‐to‐end ecosystem models that allow exploration of alternative management scenarios given a complex range of interacting factors.
- We present Atlantis – a spatially structured largely deterministic end‐to‐end marine ecosystem model written in C, available for all major operating systems, based on dynamically interacting physics, biology, fisheries, management, assessment and economics submodels. A detailed installation guide and example application files are also provided.
- One of the main features of Atlantis is its modularity. At the simplest level Atlantis can have uniform forcing of oceanographic processes, a single primary producer and a consumer. At the most complex level, Atlantis can be used with a range of environmentally driven ecological responses, complex and habitat‐dependent food web, dynamic assessment, management and fishing effort driven by market forces and human behaviour. The combination chosen should be guided by the available data and the questions to be answered.
- Atlantis provides a large and customizable list of output files and summary statistics that can be analysed and plotted using a number of dedicated r packages.
- When applying the Atlantis package, the users should be aware of the caveats associated with complex models, such as parameter and structural model uncertainty and challenges interpreting interactions of multiple processes.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | fisheries management, human impacts, marine ecosystem, modelling, oceanographic processes, physiologically structured |
| Research Division: | Agricultural, Veterinary and Food Sciences |
| Research Group: | Fisheries sciences |
| Research Field: | Fisheries sciences not elsewhere classified |
| Objective Division: | Environmental Management |
| Objective Group: | Coastal and estuarine systems and management |
| Objective Field: | Coastal and estuarine systems and management not elsewhere classified |
| UTAS Author: | Audzijonyte, A (Dr Asta Audzijonyte) |
| UTAS Author: | Fulton, EA (Dr Elizabeth Fulton) |
| ID Code: | 135593 |
| Year Published: | 2019 |
| Web of Science® Times Cited: | 33 |
| Deposited By: | Ecology and Biodiversity |
| Deposited On: | 2019-11-04 |
| Last Modified: | 2019-12-09 |
| Downloads: | 0 |
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