Acetes as a Keystone Species in the Fishery and Trophic Ecosystem Along Northeastern Arabian Sea
Autor: | D. Divu, Shikha Rahangdale, Vinaya Kumar Vase, Mohammed Koya, Rajesh Kumar Pradhan, Kapil Sukhdhane, Abdul Azeez, Rajan Kumar, Swatipriyankasen Dash, Gyanaranjan Dash, K. R. Sreenath, K. G. Jayshree |
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Rok vydání: | 2021 |
Předmět: |
0106 biological sciences
biology 010604 marine biology & hydrobiology Maximum sustainable yield Fishing 04 agricultural and veterinary sciences Aquatic Science Oceanography biology.organism_classification 01 natural sciences Predation Fishery 040102 fisheries 0401 agriculture forestry and fisheries Ecosystem Marine ecosystem Acetes Keystone species Trophic level |
Zdroj: | Thalassas: An International Journal of Marine Sciences. 37:367-377 |
ISSN: | 2366-1674 0212-5919 |
DOI: | 10.1007/s41208-020-00276-y |
Popis: | Diet composition of nine commercially exploited fishery resources which contributes 55–60% of the total fish landings in the northwest coast of India were analyzed in this study. Gut content analysis of the selected fish groups has shown significant variations in the prey composition and predator preference on a prey item. The diet matrix revealed Acetes sp. (32.74%) as a key and common shared prey item, followed by mesopelagic fishes (30.51%), other shrimps (11.00%), digested material (7.42%), crabs (4.03%) and cephalopods (2.77%), etc. In this study, Acetes sp was considered as a proxy for the non-penaeid prawns due to its significant contribution (92%) to the total non-penaeid landings. Targeted exploitation of Acetes sp. has intensified recently (from 0.44 lakh t in 2004 to 1.40 lakh t in 2018) with an average annual growth rate of 11.2% due to the demand from fish meal plants. By considering its ecological and fishery importance, Acetes sp. should be considered as keystone species in the ecosystem. The Schaefer surplus production model was used to calculate the Biological Reference Points (BRPs) and model parameters MSY, FMSY, r, EMSY, and K. The model fit was fair (R2 = 0.630) and significantly positive correlation was observed between CPUEobserved and CPUEmodel. The estimated optimum exploitation limits (p |
Databáze: | OpenAIRE |
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