Evidence map›Paper›PMID 40839594›Full record

ArticlePloS one2025

Eyes in the sky: Drone monitoring of the largest gharial and mugger populations in the East Rapti River, Chitwan National Park.

Gokarna Jung Thapa, Kanchan Thapa, Shashank Poudel, Dil Bahadur Purja Pun, Sujita Shrestha, Prem Poudel, Hari Bhadra Acharya, Bal Kumar Lamsal, Rajesh Sada, Serge A Wich

Abstract read
In one paragraph

Article in PloS one, 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

10 authors.

Gokarna Jung ThapaWWF Nepal, Kathmandu, Nepal.
Kanchan ThapaWWF Nepal, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-3838-2804
Shashank PoudelWWF Nepal, Kathmandu, Nepal.
Dil Bahadur Purja PunDepartment of National Parks and Wildlife Conservation, Kathmandu, Nepal.
Sujita ShresthaDepartment of National Parks and Wildlife Conservation, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-0594-1331
Prem PoudelTerai Arc Landscape Program, Kohalpur, Banke, Nepal.
Hari Bhadra AcharyaDepartment of National Parks and Wildlife Conservation, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-0974-372X
Bal Kumar LamsalGeovation Nepal, Kathmandu, Nepal.
Rajesh SadaWWF Nepal, Kathmandu, Nepal.
Serge A WichSchool of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drone-based aerial monitoring can play a pivotal role in scaling up efforts to monitor species at risk. In this study, we assessed the population size, occupancy, and spatial interactions of gharials and muggers in the Eastern Rapti River and its tributaries within Chitwan National Park, complying with national regulations. Using a Wingtra Tail-Sitter Vertical Take-Off and Landing fixed-wing drone, we surveyed a 73-km river stretch during the species' basking period. The drone captured 24,129 photographs across 27 flight missions, covering 702.66 km and 44.68 km², of which 153 contained dorsal images of gharials (77) and muggers (76). An experienced image analyst identified and counted 323 crocodiles (205 gharials and 118 muggers) from the images. The encounter rates were 14.33 gharials and 9.95 muggers detections per 1 hour of drone flight time. To measure habitat-use through an occupancy framework, we divided the 73-km river stretch into 809 grid cells of 0.04 km² each. The site-level probabilities of habitat-use were 0.47 for gharials and 0.24 for muggers. As anticipated, both species co-occurred spatially along the Eastern Rapti River during the winter season, with a spatial interaction factor (SIF) of 1.94. This study demonstrates the effectiveness of drones in collecting high-resolution ecological data-both spatial and temporal-for assessing population parameters and monitoring threatened crocodile species at scale. Drones offer a cost-effective and less labor-intensive (~US$ 0.61 per km) alternative to traditional ground-based surveys (~US$ 21 per km). Integrating machine learning with drone surveys for automated image analyses has significant potential to further reduce costs and increase efficiency and could strengthen conservation efforts across South Asian River system.

Indexed as

Alligators and CrocodilesAircraftAnimalsConservation of Natural ResourcesEcosystemIndonesiaParks, RecreationalPopulation DensityRivers

Identifiers

PMID40839594
PMCPMC12370074

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Registered trials

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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.