STORRE
STORRE: Stirling Online Research Repository
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/22981| Appears in Collections: | Computing Science and Mathematics Journal Articles |
| Peer Review Status: | Refereed |
| Title: | A Stepwise Fitting Procedure for automated fitting of Ecopath with Ecosim models |
| Author(s): | Scott, Erin Serpetti, Natalia Steenbeek, Jeroen Heymans, Johanna Jacomina |
| Contact Email: | egs@cs.stir.ac.uk |
| Keywords: | Stepwise model fitting procedure Ecopath with Ecosim Ecological modelling Model fitting |
| Issue Date: | 2016 |
| Date Deposited: | 17-Mar-2016 |
| Citation: | Scott E, Serpetti N, Steenbeek J & Heymans JJ (2016) A Stepwise Fitting Procedure for automated fitting of Ecopath with Ecosim models. SoftwareX, 5, pp. 25-30. https://doi.org/10.1016/j.softx.2016.02.002 |
| Abstract: | The Stepwise Fitting Procedure automates testing of alternative hypotheses used for fitting Ecopath with Ecosim (EwE) models to observation reference data (Mackinson etal. 2009). The calibration of EwE model predictions to observed data is important to evaluate any model that will be used for ecosystem based management. Thus far, the model fitting procedure in EwE has been carried out manually: a repetitive task involving setting >1000>1000 specific individual searches to find the statistically ‘best fit’ model. The novel fitting procedure automates the manual procedure therefore producing accurate results and lets the modeller concentrate on investigating the ‘best fit’ model for ecological accuracy. |
| DOI Link: | 10.1016/j.softx.2016.02.002 |
| Rights: | This article is open-access. Open access publishing allows free access to and distribution of published articles where the author retains copyright of their work by employing a Creative Commons attribution licence. Proper attribution of authorship and correct citation details should be given. |
| Licence URL(s): | http://creativecommons.org/licenses/by/4.0/ |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S2352711016000054-main (1).pdf | Fulltext - Published Version | 1.08 MB | Adobe PDF | View/Open |
This item is protected by original copyright |
A file in this item is licensed under a Creative Commons License
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.