Vol.:(0123456789)
Environment, Development and Sustainability
https://doi.org/10.1007/s10668-021-01410-3
1 3
Modeling the impacts of fishing regulations in a tropical
Indian estuary using Ecopath with Ecosim approach
G. B. Sreekanth
1
· S. K. Chakraborty
2
· A. K. Jaiswar
2
· P. U. Zacharia
3
· K. S. Mohamed
3
Received: 8 August 2020 / Accepted: 5 April 2021
© The Author(s), under exclusive licence to Springer Nature B.V. 2021
Abstract
In this study, we measured the impacts of an effective fishing regulation on the sustain-
ability of fisheries in Zuari estuary, a tropical estuary situated along western coast of India
through an Ecosim approach. Ecosystem indicators for 2016 and 2031 (for each Ecosim
scenario) were measured to compare and contrast the decadal changes in the status of the
ecosystem between these two periods. Four different hypothetical fishing patterns were
simulated to explore the best suited management scenario. The ecosystem indices of 2031
ecosystem were compared with that obtained for 2016 to evaluate the possible effects of
fishing regulations. The functional groups showed a decline in their biomass when no fish-
ing regulations are implemented (S1). The direct fishing effort reductions of all the fleets
(S4) and ban/reduction of indiscriminate fishing fleets (S2-immediate ban and S3-gradual
reduction) showed a more or less similar trend for recovery of fish stocks through diverse
fisheries policies. A complete ban of indiscriminate fishing seems to slightly more advan-
tageous than the direct reductions in the fishing effort for all the fleets in terms of stock
recovery (130%), Q statistic (1.15), Shannon diversity (1.43), mean trophic level of eco-
system (2.98), mean trophic level of the catch (2.91) and fish catch in the gillnet fleet
(200%). The simulations have also suggested that a complete control for mechanized fish-
ing fleets will be the best possible management strategy for the recovery of fish stocks in
the ecosystem.
Keywords Zuari estuary · Ecopath with Ecosim · Fishing regulation · Indiscriminate
fishing · Simulation
* G. B. Sreekanth
gbsree@gmail.com; gb.sreekanth@icar.gov.in
1
ICAR-Central Coastal Agricultural Research Institute, Old Goa, Goa 403402, India
2
ICAR-Central Institute of Fisheries Education, Mumbai, Maharashtra 400061, India
3
ICAR-Central Marine Fisheries Research Institute, Kochi, Kerala 682018, India