Evidence map›Paper›PMID 41094357›Full record

ArticleBMC ecology and evolution2025

Estimating asian elephant abundance: a comparative analysis of dung counts and genetic SECR in a known population of Kodagu, Karnataka, India.

Vishnupriya Kolipakam, Himanshu Matta, Sanath K Muliya, Mayur V Markad, Lallianpuii Kawlni, Ujjwal Kumar, Bhawana Pant, Souritra Sharma, Samrat Mondol, Ramesh K Pandey and 1 more

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

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5 · Who and what money

Authors and funding

11 authors.

Vishnupriya Kolipakam *Wildlife Institute of India, Dehradun, Uttarakhand, 248001, India. vishnupriya@wii.gov.in.ORCID 0000-0003-0609-1321
Himanshu Matta *Wildlife Institute of India, Dehradun, Uttarakhand, 248001, India.ORCID 0009-0009-9415-6850
Sanath K MuliyaWildlife Institute of India, Dehradun, Uttarakhand, 248001, India.ORCID 0000-0001-5908-0082
Mayur V MarkadWildlife Institute of India, Dehradun, Uttarakhand, 248001, India.ORCID 0009-0004-1300-848X
Lallianpuii KawlniWildlife Institute of India, Dehradun, Uttarakhand, 248001, India.ORCID 0000-0002-8936-3937
Ujjwal KumarWildlife Institute of India, Dehradun, Uttarakhand, 248001, India.ORCID 0000-0003-4215-8781
Bhawana PantWildlife Institute of India, Dehradun, Uttarakhand, 248001, India.
Souritra SharmaWildlife Institute of India, Dehradun, Uttarakhand, 248001, India.ORCID 0000-0002-3343-5436
Samrat MondolWildlife Institute of India, Dehradun, Uttarakhand, 248001, India.ORCID 0000-0003-3034-9396
Ramesh K PandeyAcademy of Scientific and Innovative Research (AcSIR), Uttar Pradesh, 201002, Ghaziabad, India.ORCID 0009-0008-6083-1769
Qamar QureshiWildlife Institute of India, Dehradun, Uttarakhand, 248001, India.ORCID 0000-0003-3469-6993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Asian elephant, a keystone species of immense ecological and evolutionary significance, is under intensifying threat from habitat fragmentation and human-elephant conflict. Reliable population estimates are critical for effective conservation planning and understanding demographic processes, yet traditional methods like dung counts can be skewed by detectability issues and environmental variability. Here, we compared conventional line-transect dung counts with a non-invasive genetic spatially explicit capture-recapture (genetic SECR) approach in Kodagu, Karnataka, using high-throughput microsatellite sequencing (SSR-Seq). Our study area harbours a known population of 34 elephants (0.21 elephants/km

resultsDung counts yielded an elephant density of 1.27(±0.32) elephants/km

conclusionsThese results demonstrate that genetic SECR not only reduces estimation bias but also reveals evolutionary relevant insights into genetic diversity and population structure. While genetic methods require greater per-unit investment compared to dung counts, a hybrid strategy may be most practical: periodic genetic SECR surveys to calibrate and validate easier methods (like dung counts or camera traps) used more frequently. As technology advances, costs of fecal DNA analysis are likely to decrease further. This hybrid framework optimizes resource allocation while maintaining scientific rigor, particularly important for large-scale monitoring programs across diverse landscapes.

Indexed as

ElephantsFecesGenetics, PopulationAnimalsConservation of Natural ResourcesGenotypeIndiaMicrosatellite RepeatsPopulation DensityDemographic inferenceElephantGenetic mark-recaptureMicrosatellite variationMonitoring frameworkPopulation estimation

Identifiers

PMID41094357
PMCPMC12523092

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