Community-led citizen science (CCS) involves engaging the public through effective training for low-cost data collection, monitoring, policy development, and the dissemination of scientific information. This research aimed to train local fishers to capture and share images of Indian shad (Tenualosa ilisha) using Smartphones obtained from the coastal shelf of five river mouth systems (RMS) – Narmada, Tapi, Hooghly, Mahanadi, and Godavari. These images were employed to identify T. ilisha specimens and analyze their population structure using geometric morphometric (GM) techniques based on body shape. The GM approach validated the fishers' ability to correctly identify the species with 100 % accuracy. Additionally, variations in the body shape of T. ilisha were noted between the east and west coasts and among RMS on the east coast (Hooghly, Mahanadi, and Godavari), but not among those on the west coast (Narmada and Tapi). The findings of the present study suggest that CCS is promising in effectively contributing to marine and coastal biodiversity monitoring. Nevertheless, challenges such as electricity shortages, poor internet connectivity, limited technological resources, and low voluntary participation in poverty-stricken remote areas may impact CCS programs. These challenges can be addressed through promoting socio-economic development of local communities through remuneration-based CCS and alternative livelihood options. Coordinated efforts among all stakeholders, including environmental managers and policymakers is essential for better utilization of CCS in sustainable marine policies and improving ocean governance.
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