Evidence map›Paper›PMID 41781475›Full record

ArticleScientific reports2026

Understanding private landowner strategies for wild pig management using cluster analysis and structural equation modeling.

Nana Tian, Jianbang Gan

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Nana TianArkansas Forest Resources Center, College of Forestry, Agriculture & Natural Resources, University of Arkansas at Monticello, Monticello, AR, 71656-3468, USA. tian@uamont.edu.
Jianbang GanDepartment of Ecology and Conservation Biology, Texas A&M University, College Station, TX, 77843, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wild pigs (Sus scrofa) pose a significant threat, causing substantial ecological and economic damage to natural ecosystems, agriculture, and forestry through destructive behaviors of wallowing and rooting. Addressing this widespread issue urgently requires effective and sustained management strategies, especially involving private landowners, who are a critical stakeholder group in the West Gulf Coastal Plain (WGCP). This study aims to identify landowner typologies in wild pig management and to examine factors influencing their intentions to engage in such efforts in Arkansas, Louisiana, and East Texas. We employed a mixed method of cluster analysis and structural equation modeling (SEM) based on the Theory of Planned Behavior (TPB). Cluster analysis revealed three distinct landowner groups based on their familiarity with and experiences of wild pig damage and management efforts: Unaware Bystanders, Frontline Responders, and Cautious Observers. SEM was employed to assess the belief structures influencing behavioral intentions across the entire sample and within each identified cluster. Results indicated that beliefs and attitudes were the most influential predictors of intended behavior, which varied across the landowner clusters. The findings highlight the heterogeneity in landowner responses and offer practical implications for developing targeted outreach strategies, policy interventions, and collaborative management approaches aligned with the needs and motivations of different landowner groups.

Indexed as

Animals, WildConservation of Natural ResourcesSus scrofaAnimalsArkansasCluster AnalysisEcosystemHumansLouisianaSwineTexasTheory of Planned BehaviorCluster analysisPrivate landownersStructural equation modelingTheory of Planned BehaviorWestern Gulf Coastal PlainWild pigs (Sus scrofa)

Identifiers

PMID41781475
PMCPMC13076607

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LicenceCC BY-NC-ND
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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.