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- Publisher
- Springer Journals
- Copyright
- Copyright © 2013 by Springer Science+Business Media Dordrecht
- Subject
- Life Sciences; Freshwater & Marine Ecology; Ecosystems
- ISSN
- 1386-2588
- eISSN
- 1573-5125
- DOI
- 10.1007/s10452-013-9457-9
- Publisher site
- See Article on Publisher Site
Abstract
The relationship between species and habitat is important in ecosystem-based fisheries management. Habitat suitability index (HSI) modeling is a valuable tool in ecology and can be used to describe the relationship between fish abundance and ecological variables in order to estimate the suitability of specific habitats. In the present study, an HSI model was applied to determine suitable habitats for the Caspian kutum (Rutilus frisii kutum), an important commercial species in the southern Caspian Sea. An arithmetic mean model (AMM) was found to be the most appropriate model for describing the relationship between two of the environmental variables investigated (depth and benthos biomass). However, a geometric mean model explained the evident relationship when all four environmental variables were used (depth, benthos biomass, photosynthetically active radiation and sea surface temperature). The areas with an HSI > 0.5 had over 85 % of the total catch indicating the reliability of the prediction of the Caspian kutum habitat using the AMM. The present study showed that depth and substrate structure are the most important environmental variables for the Caspian kutum to select its habitats, and between remotely sensed data, chlorophyll a, photosynthetically active radiation and sea surface temperature are the most critical parameters for near real-time prediction of the Caspian kutum habitat.
Journal
Aquatic Ecology – Springer Journals
Published: Sep 19, 2013