Evidence map›Paper›PMID 40908306›Full record

ArticleScientific reports2025

Physiological responses in free-ranging Asian elephant populations living across human-production landscapes.

Sanjeeta Sharma Pokharel, Amir Kumar Chettri, Sunipa Chatterjee, Polani B Seshagiri, Raman Sukumar

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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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Sanjeeta Sharma PokharelCentre for Ecological Sciences, Indian Institute of Science, Bangalore, India. pokharelsanjeeta@gmail.com.
Amir Kumar ChettriThe Co-existence Project, Kolkata, West Bengal, India.
Sunipa ChatterjeeCentre for Ecological Sciences, Indian Institute of Science, Bangalore, India.
Polani B SeshagiriDepartment of Developmental Biology and Genetics, Indian Institute of Science, Bangalore, India.
Raman SukumarCentre for Ecological Sciences, Indian Institute of Science, Bangalore, India. rsuku@iisc.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring the physiology of elephants living in human-production landscapes has become increasingly important for understanding how they cope with various challenges that affect their overall fitness. We assessed physiological stress by measuring faecal glucocorticoid metabolite (fGCM) levels and metabolic states using faecal triiodothyronine (fT3) across three free-ranging Asian elephant populations (one in Central India and two in Northeastern India) whose home ranges encompass varying extents of disturbance in human-production landscapes. We present landscape disturbance metrics to characterize variations in fragmentation and anthropogenic pressures across the study landscapes and use faecal carbon and nitrogen (C/N) ratio as a proxy for dietary quality, with higher C/N values indicating poorer-quality diets. Elephants living in more fragmented habitats in Central India had higher fGCM and lower fT3 levels compared to the Northeastern populations, as well as when compared (only fGCM levels) with a previously-studied Southern Indian elephant population. A positive relationship was observed between faecal C/N ratio and fGCM levels across the populations, except for the Central population. These findings suggest that elephants in highly fragmented landscapes and experiencing significant anthropogenic disturbances have (i) higher adrenal activity to cope with and (ii) reduced metabolic rates to conserve energy in emerging challenging contexts. While elephants may adapt to living in human-modified landscapes to some extent, they may experience high stress levels beyond a threshold of disturbance which can be physiologically costly. This warrants systematic assessments to evaluate how these biological costs impact their fitness, and a re-evaluation of conflict management practices.

Indexed as

ElephantsStress, PhysiologicalAnimalsCarbonEcosystemFecesFemaleGlucocorticoidsHumansIndiaMaleNitrogenTriiodothyronineCarbonGlucocorticoidsNitrogenTriiodothyronineElephas maximusFaecal C/N ratioFaecal thyroid hormonesFragmentationGlucocorticoidsStress physiologyTriiodothyronine

Identifiers

PMID40908306
PMCPMC12411615

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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.