275
Views
2
CrossRef citations to date
0
Altmetric
ARTICLE

A Modeling Framework to Quantify the Influence of Hydrology on the Abundance of a Migratory Indian Shad, the Hilsa Tenualosa ilisha

ORCID Icon, ORCID Icon, &
Pages 1208-1219 | Received 15 Feb 2017, Accepted 01 Jul 2017, Published online: 11 Oct 2017
 

Abstract

It is envisaged that the influence of river hydrology on the commercial catch of anadromous species in river–estuary systems is very pronounced. We delineate a general framework to quantify the effect of changing river hydrology on the catch of a very unique anadromous species, the Hilsa Tenualosa ilisha, a shad species that is distributed across the Indo-Pacific region. The Narmada River–estuary system was studied as a representative for the region. Two synthesized factors—migratory habitat availability (factor 1) and migratory habitat quality potential (factor 2)—were derived from five hydrological variables to explain 96% of the variability in the hydrological regime of the Narmada River–estuary system. Based on the proposed autoregressive integrated moving average with explanatory variables (ARIMAX) modeling framework, we found that both factors had significant positive effects. Model-based forecasts of Hilsa catch revealed a decreasing trend in the future if a similar hydrological regime prevails. In a simulated future scenario, a 15% increase in Hilsa catch was predicted to occur in response to a 2% increase in factor 1, considering the last 5 years’ average catch as a benchmark. Some management strategies focused on controlling the hydrological regime are suggested to enhance Hilsa fisheries.

Received February 15, 2017; accepted July 1, 2017 Published online October 11, 2017

Acknowledgments

We sincerely acknowledge Anirban Goswami, former Senior Research Fellow at the Central Inland Fisheries Research Institute, for assisting in statistical computing.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.