Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1016/j.envsoft.2017.02.012 |
| Titel (primär) | Input variable selection with a simple genetic algorithm for conceptual species distribution models: A case study of river pollution in Ecuador |
| Autor | Gobeyn, A.; Volk, M.; Dominguez-Granda, L.; Goethals, P.L.M. |
| Quelle | Environmental Modelling & Software |
| Erscheinungsjahr | 2017 |
| Department | CLE |
| Band/Volume | 92 |
| Seite von | 269 |
| Seite bis | 316 |
| Sprache | englisch |
| Keywords | Conceptual species distribution models; Input variable selection; Simple genetic algorithms; Species response curves; River pollution; Freshwater management |
| UFZ Querschnittsthemen | RU1 |
| Abstract | Species distribution models (SDMs) have received increasing attention in freshwater management to support decision making. Existing SDMs are mainly data-driven and often developed with statistical and machine learning methods but with little consideration of hypothetic ecological knowledge. Conceptual SDMs exist, but lack in performance, making them less interesting for decision management. Therefore, there is a need for model identification tools that search for alternative model formulations. This paper presents a methodology, illustrated with the example of river pollution in Ecuador, using a simple genetic algorithm (SGA) to identify well performing SDMs by means of an input variable selection (IVS). An analysis for 14 macroinvertebrate taxa shows that the SGA is able to identify well performing SDMs. It is observed that uncertainty on the model structure is relatively large. The developed tool can aid model developers and decision makers to obtain insights in driving factors shaping the species assemblage. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=18522 |
| Gobeyn, A., Volk, M., Dominguez-Granda, L., Goethals, P.L.M. (2017): Input variable selection with a simple genetic algorithm for conceptual species distribution models: A case study of river pollution in Ecuador Environ. Modell. Softw. 92 , 269 - 316 10.1016/j.envsoft.2017.02.012 |
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