A Boosted Regression Tree Approach to Modeling Coilia dussumieri Distribution in Relation to Environmental Variables of Mumbai, India

Rajesh Kumar

ICAR- Central Institute of Fisheries Education, Versova, Mumbai- 400 061, India.

Karankumar Ramteke *

ICAR- Central Institute of Fisheries Education, Versova, Mumbai- 400 061, India.

Binaya Bhusan Nayak

ICAR- Central Institute of Fisheries Education, Versova, Mumbai- 400 061, India.

Asha Taterao Landge

ICAR- Central Institute of Fisheries Education, Versova, Mumbai- 400 061, India.

Abuthagir Iburahim

ICAR- Central Institute of Fisheries Education, Versova, Mumbai- 400 061, India.

Vipul Singh Badguzar

ICAR- Central Institute of Fisheries Education, Versova, Mumbai- 400 061, India.

*Author to whom correspondence should be addressed.


Abstract

India is a major player in global fisheries, with Coilia dussumieri being a significant species. This study investigates the spatiotemporal distribution of C. dussumieri along the Mumbai coast, focusing on the influence of environmental factors. Data on fish catch and environmental variables (Sea surface temperature (SST), salinity, pH, Sea surface height (SSH), current speed (CS), and chlorophyll-a were collected during fortnightly surveys. The association between these factors and Catch Per Unit Effort (CPUE) was modelled using Boosted Regression Trees (BRT). Results revealed that salinity, chlorophyll-a, and SST were the most influential factors, with optimal ranges observed for each. The model demonstrated a non-linear and interactive effect of salinity and chlorophyll-a on CPUE. A greater percentage of juveniles were found in the catch, according to an analysis of length-frequency data, underscoring the need of taking juvenile populations into account when developing management plans. This work provides significant insight on the ecological needs of C. dussumieri and highlights the necessity of managing fisheries using an ecosystem-based strategy that takes environmental factors and juvenile population dynamics into account.

Keywords: Coilia dussumeiri, Juvenile population, CPUE, length-frequency


How to Cite

Kumar, Rajesh, Karankumar Ramteke, Binaya Bhusan Nayak, Asha Taterao Landge, Abuthagir Iburahim, and Vipul Singh Badguzar. 2026. “A Boosted Regression Tree Approach to Modeling Coilia Dussumieri Distribution in Relation to Environmental Variables of Mumbai, India”. International Journal of Environment and Climate Change 16 (2):655-65. https://doi.org/10.9734/ijecc/2026/v16i25310.

Downloads

Download data is not yet available.