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EM: Lessons in modelling and management of marine ecosystems: the Atlantis experience (EM-990)
Collapse All
Expand AllEM Identity and Description
EM Identification
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EM ID
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EM-990 |
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EM Short Name
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Atlantis ecosystem economics submodel |
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EM Full Name
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Lessons in modelling and management of marine ecosystems: the Atlantis experience |
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EM Source or Collection
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None |
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EM Source Document ID
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463 |
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Document Author
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Fulton, E.A., Link, J.S., Kaplan, I.C., Savina‐Rolland, M., Johnson, P., Ainsworth, C., Horne, P., Gorton, R., Gamble, R.J., Smith, A.D. and Smith, D.C. |
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Document Year
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2011 |
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Document Title
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Lessons in modelling and management of marine ecosystems: the Atlantis experience |
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Document Status
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Peer reviewed and published |
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Comments on Status
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Published journal manuscript |
Software and Access
| https://research.csiro.au/atlantis/home/links/ | |
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Contact Name
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Elizabeth Fulton |
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Contact Address
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Department of Marine and Atmospheric Research, GPO Box 1538, Hobart, Tas. 7001, Australia |
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Contact Email
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beth.fulton@csiro.au |
EM Description
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Summary Description
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Models are key tools for integrating a wide range of system information in a common framework. Attempts to model exploited marine ecosystems can increase understanding of system dynamics; identify major processes, drivers and responses; highlight major gaps in knowledge; and provide a mechanism to ‘road test’ management strategies before implementing them in reality. The Atlantis modelling framework has been used in these roles for a decade and is regularly being modified and applied to new questions (e.g. it is being coupled to climate, biophysical and economic models to help consider climate change impacts, monitoring schemes and multiple use management). This study describes some common lessons learned from its implementation, particularly in regard to when these tools are most effective and the likely form of best practices for ecosystem-based management (EBM). Most importantly, it highlighted that no single management lever is sufficient to address the many trade-offs associated with EBM and that the mix of measures needed to successfully implement EBM will differ between systems and will change through time. Although it is doubtful that any single management action will be based solely on Atlantis, this modelling approach continues to provide important insights for managers when making natural resource management decisions. |
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Specific Policy or Decision Context Cited
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None identified |
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Biophysical Context
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NA |
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EM Scenario Drivers
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No scenarios presented |
EM Relationship to Other EMs or Applications
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Method Only, Application of Method or Model Run
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Method Only |
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New or Pre-existing EM?
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Application of existing model |
Related EMs (for example, other versions or derivations of this EM) described in ESML
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Document ID for related EM
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Doc-456 | Doc-459 | Doc-461 |
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EM ID for related EM
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EM-978 | EM-981 | EM-983 | EM-985 | EM-991 |
EM Modeling Approach
EM Relationship to Time
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EM Temporal Extent
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Not applicable |
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EM Time Dependence
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time-dependent |
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EM Time Reference (Future/Past)
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Not applicable |
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EM Time Continuity
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continuous |
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EM Temporal Grain Size Value
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Not applicable |
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EM Temporal Grain Size Unit
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Not applicable |
EM Spatial Extent
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Bounding Type
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Not applicable |
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Spatial Extent Name
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Not applicable |
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Spatial Extent Area (Magnitude)
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Not applicable |
Spatial Distribution of Computations
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EM Spatial Distribution
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Not applicable |
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Spatial Grain Type
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Not applicable |
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Spatial Grain Size
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Not applicable |
EM Structure and Computation Approach
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EM Computational Approach
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Analytic |
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EM Determinism
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deterministic |
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Statistical Estimation of EM
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Model Checking Procedures Used
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Model Calibration Reported?
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Not applicable |
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Model Goodness of Fit Reported?
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Not applicable |
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Goodness of Fit (metric| value | unit)
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None |
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Model Operational Validation Reported?
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Not applicable |
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Model Uncertainty Analysis Reported?
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Not applicable |
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Model Sensitivity Analysis Reported?
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Not applicable |
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Model Sensitivity Analysis Include Interactions?
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Not applicable |
EM Locations, Environments, Ecology
Location of EM Application
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
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| None |
Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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| None |
Centroid Lat/Long (Decimal Degree)
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Centroid Latitude
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Not applicable |
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Centroid Longitude
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Not applicable |
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Centroid Datum
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Not applicable |
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Centroid Coordinates Status
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Not applicable |
Environments and Scales Modeled
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EM Environmental Sub-Class
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Aquatic Environment (sub-classes not fully specified) | Rivers and Streams | Inland Wetlands | Lakes and Ponds | Near Coastal Marine and Estuarine | Open Ocean and Seas |
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Specific Environment Type
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Multiple |
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EM Ecological Scale
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Ecological scale corresponds to the Environmental Sub-class |
Scale and taxa of organisms modeled
Scale of differentiation of organisms modeled
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EM Organismal Scale
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Not applicable |
Taxonomic level and name of organisms or groups identified
taxonomyHelp
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| None Available |
EnviroAtlas URL
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| Big game hunting recreation demand, Total Employment |
EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
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(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
fegs2Help
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| None |
EM Variable Names (and Units)
Predictor
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Intermediate
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Intermediate (Computed) Variables (and Units)
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None |
Response
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Observed Response Variables (and Units)
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None |
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Computed Response Variables (and Units)
view details (4 variables)
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