Evidence map›Paper›PMID 41970334›Full record

ArticleEcology and evolution2026

Diet and Prey Preference of Tigers (

Hari Bhadra Acharya, Laura D Bertola, Dinesh Neupane, Babu Ram Lamichhane, Herwig Leirs, Prajwol Manandhar, Hans H de Iongh

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. 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

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

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

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

7 authors.

Hari Bhadra AcharyaMinistry of Forests and Environment Kathmandu Nepal.ORCID https://orcid.org/0000-0002-0974-372X
Laura D BertolaNational Centre for Biological Sciences Tata Institute of Fundamental Research Bangalore India.ORCID https://orcid.org/0000-0002-3445-0355
Dinesh NeupaneZoological Society of London Kathmandu Nepal.ORCID https://orcid.org/0000-0002-2618-4130
Babu Ram LamichhaneWildlife Conservation and Research Endeavour (WILD CARE) Lalitpur Nepal.ORCID https://orcid.org/0000-0003-0580-7682
Herwig LeirsUniversity of Antwerp Antwerp Belgium.ORCID https://orcid.org/0000-0002-7612-5024
Prajwol ManandharCenter for Molecular Dynamics Nepal Kathmandu Nepal.ORCID https://orcid.org/0000-0002-5259-0706
Hans H de IonghUniversity of Antwerp Antwerp Belgium.ORCID https://orcid.org/0000-0001-6770-8749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the diet of apex predators such as tiger is important, as it provides key ecological information on prey availability and preferences. It helps to understand the effects of conservation strategy and secure the long-term survival of tigers in the area. In this research, we identified the diet composition of tigers via DNA metabarcoding and microscopy analysis of scat samples collected during the dry season of 2024 in Nepal's Chitwan National Park and Buffer Zone area. The scat analysis showed spotted deer dominated the tiger diet, comprising the highest frequency and percentage of occurrences in scats with greater relative biomass consumed. No trace of livestock was detected in the scats analyzed. Specifically, tigers preferred medium-sized prey (e.g., hog deer, wild boar, and spotted deer). The study identified seven prey species in the tiger diet analyzed through DNA metabarcoding and microscopic hair analysis; however, the type and proportion of their contents varied between the methods. The diet composition of tigers in the national park comprised a significantly higher number of species (

Indexed as

DNA metabarcodinghuman‐wildlife conflictJacob's indexmicroscopic hair analysisrelative biomassscats

Identifiers

PMID41970334
PMCPMC13061741

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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.