Economics at your fingertips  

Discovering spawning ground of Hilsa shad (Tenualosa ilisha) in the coastal waters of Bangladesh

M. Shahadat Hossain, Subrata Sarker (), Sayedur Rahman Chowdhury and S.M. Sharifuzzaman

Ecological Modelling, 2014, vol. 282, issue C, 59-68

Abstract: The availability of suitable freshwater spawning habitat is considered to be a major factor limiting the natural recruitment of anadromous Hilsa shad (Tenualosa ilisha) in the coastal waters of Bangladesh. Against this context, we applied georeferenced habitat database to determine spawning habitat suitability index of Hilsa shad. Landsat imagery and thematic layers were analyzed with ENVI and GIS, and developed a series of GIS models to identify and ranking of suitable spawning grounds. Thus, among the studied 29,484km2 aquatic ecosystems, only 6% (=1851km2) area is the most suitable consisting of the rivers Meghna, Shahbazpur, Tetulia and Ander Manik as well as the channel of Sandwip island. Whereas, 20% (=5996km2) area including river, estuary and near shore water bodies are moderately suitable, and in particular, the offshore deep waters occupying 73% (=21,637km2) area is least suitable. The model outputs were verified after field data of fishers’ indigenous knowledge with an accuracy level of 87%. This study suggests that necessary measures, such as conservation and management of spawning habitat should be implemented for an increased reproductive and recruitment success that will eventually improve populations of wild Hilsa shad in Bangladesh.

Keywords: GIS; Multi-criteria evaluation (MCE); Meghna delta; Bay of Bengal; Ilish (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.1016/j.ecolmodel.2014.03.001

Access Statistics for this article

Ecological Modelling is currently edited by Brian D. Fath

More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

Page updated 2022-03-27
Handle: RePEc:eee:ecomod:v:282:y:2014:i:c:p:59-68