Evidence map›Paper›PMID 40850979›Full record

ArticleScientific reports2025

Comparing visual and acoustic detectability of two coastal cetacean species off Sindhudurg, India, to better inform integrated survey protocol.

Isha Bopardikar, Danielle V Harris, V V Robin, Holger Klinck

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Isha BopardikarDepartment of Biology, Indian Institute of Science Education and Research (IISER) Tirupati, Srinivasapuram, Tirupati District, Andhra Pradesh, 517619, India. isha.bopardikar@gmail.com.
Danielle V HarrisCentre for Research into Ecological and Environmental Modelling, University of St Andrews, St Andrews, Fife, KY16 9LZ, UK.
V V RobinDepartment of Biology, Indian Institute of Science Education and Research (IISER) Tirupati, Srinivasapuram, Tirupati District, Andhra Pradesh, 517619, India.
Holger KlinckK. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, Ithaca, NY, 14850, USA.

Funding

Marine Mammal Commission MMC21-041Rufford Foundation 28395-2
6 · The paper itself

Abstract

The Indian Ocean humpback dolphin (Sousa plumbea) and the Indo-Pacific finless porpoise (Neophocaena phocaenoides) are resident to the inshore waters of India. Despite urgent conservation concerns facing both species, population assessments and long-term monitoring efforts face several challenges, particularly due to limitations in conducting conventional visual surveys. Our study explores the use of combined acoustic and visual surveys along a 376 km[Formula: see text] area off the Sindhudurg coast, India, to address these limitations. We begin by examining the two platforms for efficiency in species detection by comparing encounter rates across acoustic and visual methods. Acoustic (0.04 groups/km) and visual (0.03 groups/km) encounter rates for humpback dolphins do not show a stark difference. However, acoustic (0.12 groups/km) and visual (0.03 groups/km) encounter rates for finless porpoises vary greatly. Visual and acoustic group size estimates also vary for both species. We then use generalized additive mixed models (GAMM) to determine factors responsible for variation in detectability between the two platforms. Distance from shore and vessel traffic are variables affecting mixed detections of humpback dolphins. Acoustic detections for finless porpoises are most influenced by distance from shore and depth. Our findings highlight the importance of considering species-specific variations in acoustic and visual detectability when designing integrated surveys for multiple species.

Indexed as

AcousticsCetaceaDolphinsPorpoisesAnimalsConservation of Natural ResourcesIndiaIndian OceanBioacousticsCetaceansCoastalVisual surveys

Identifiers

PMID40850979
PMCPMC12375760

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.