Evidence map›Paper›PMID 40362119›Full record

ArticleAnimals : an open access journal from MDPI2025

Human-Elephant Conflict in Thailand over the Past Decade (2014-2023): Occurrence, Geographical Distribution, and Temporal Trends.

Jarawee Supanta, Chaithep Poolkhet, Marnoch Yindee, Wallaya Manatchaiworakul, Tuempong Wongtawan

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Jarawee SupantaAkkhraratchakumari Veterinary College, Walailak University, Nakhon Si Thammarat 80160, Thailand.ORCID 0000-0003-1177-5963
Chaithep PoolkhetAkkhraratchakumari Veterinary College, Walailak University, Nakhon Si Thammarat 80160, Thailand.ORCID 0000-0003-2968-9182
Marnoch YindeeAkkhraratchakumari Veterinary College, Walailak University, Nakhon Si Thammarat 80160, Thailand.
Wallaya ManatchaiworakulClemson Veterinary Diagnostic Centre, Clemson University, 500 Clemson Road, Columbia, SC 29229, USA.
Tuempong WongtawanAkkhraratchakumari Veterinary College, Walailak University, Nakhon Si Thammarat 80160, Thailand.ORCID 0000-0001-6948-4144

Funding

Walailak University WU67269
6 · The paper itself

Abstract

The endangered Asian elephant, Thailand's national symbol, is increasingly affected by human-elephant conflict (HEC), now a critical conservation and socio-economic concern. This study examined 341 HEC occurrences in 34 out of 77 Thai provinces between 2014 and 2023, based on data from official and private sources. These events resulted in both human and elephant casualties and property damage. Occurrences peaked in 2018 and 2023, with significant associations found between conflict rates, regions, and periods. The Eastern region and the July-to-October period (the rainy season) emerged as key high-risk areas, likely related to additional factors such as high elephant densities and abundant crop production. Most HECs occurred in agricultural land, where elephants searched for food. The findings suggest that the July-to-October period requires heightened surveillance and additional preventive actions. The Eastern region remains a priority for intervention due to its ongoing vulnerability and the movement of elephants across provincial boundaries. Furthermore, the rise of the Northeastern region as a new hotspot underlines the need for proactive measures to prevent escalation.

Indexed as

casualtycoexistencecrop foragingregionseasonalitywildlife

Identifiers

PMID40362119
PMCPMC12071072

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.