Is the human-wild boar co-survival zone possible? A risk assessment of human-wild boar conflict using a maximum entropy model (MaxEnt)

Human and wild boars were found to coexist within an environment where ecological and socio-economic systems intertwine, leading to conflict. To assess the potential for mutual dependency and constraint between humans and wild boars, the concept of "co-survival" was proposed. The study focused on Zixi, Chongyi, and Xiushui in Jiangxi Province, which served as a national pilot area for wild boar damage prevention. A total of 203 human-wild boar conflict points and 15 environmental variables from 2022 were selected to predict the spatial distribution of conflict risk. The results revealed the following: 1) The factors influencing human-wild boar co-survival were found to be closely related to both the behavior of wild boars and the natural and socio-economic conditions of the study area. Specifically, areas characterized by steeper slopes and located farther from residential areas or mountains tended to exhibit a larger co-survival zone. 2) Investment in wild boar invasion prevention infrastructure was positively correlated with the extent of the co-survival zone, indicating that increased investment contributed to the expansion of the shared living space between humans and wild boars. 3) Human-wild boar conflict was most prominent in agro-forestry transition zones, with fewer conflicts reported in high-standard farmland areas. Therefore, co-survival between humans and wild boars was considered feasible in low-risk and medium-risk zones under certain condition, where conflict remained within a manageable range.

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Publication Details

Journal
Trees Forests and People
Published
2025-06-21
DOI
https://doi.org/10.1016/j.tfp.2025.100914
Citations
1
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
1.72

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article

Is the human-wild boar co-survival zone possible? A risk assessment of human-wild boar conflict using a maximum entropy model (MaxEnt)

Xiaodi Zhao, Jin Kun, Yaxin Zhang, Lu Wang
1 citations
Trees Forests and People
Wildlife Ecology and Conservation
1.72
article

Is the human-wild boar co-survival zone possible? A risk assessment of human-wild boar conflict using a maximum entropy model (MaxEnt)

Xiaodi Zhao, Jin Kun, Yaxin Zhang, Lu Wang
article en
1 citations

Abstract

Human and wild boars were found to coexist within an environment where ecological and socio-economic systems intertwine, leading to conflict. To assess the potential for mutual dependency and constraint between humans and wild boars, the concept of "co-survival" was proposed. The study focused on Zixi, Chongyi, and Xiushui in Jiangxi Province, which served as a national pilot area for wild boar damage prevention. A total of 203 human-wild boar conflict points and 15 environmental variables from 2022 were selected to predict the spatial distribution of conflict risk. The results revealed the following: 1) The factors influencing human-wild boar co-survival were found to be closely related to both the behavior of wild boars and the natural and socio-economic conditions of the study area. Specifically, areas characterized by steeper slopes and located farther from residential areas or mountains tended to exhibit a larger co-survival zone. 2) Investment in wild boar invasion prevention infrastructure was positively correlated with the extent of the co-survival zone, indicating that increased investment contributed to the expansion of the shared living space between humans and wild boars. 3) Human-wild boar conflict was most prominent in agro-forestry transition zones, with fewer conflicts reported in high-standard farmland areas. Therefore, co-survival between humans and wild boars was considered feasible in low-risk and medium-risk zones under certain condition, where conflict remained within a manageable range.

Trees Forests and PeopleVol. 21
Beijing Municipal Government (CN), Chinese Academy of Forestry (CN), State Forestry and Grassland Administration (CN), Research Institute of Forestry Policy and Information (CN), Institute of Forest Ecology, Environment and Protection (CN)
National Forestry and Grassland Administration
Zero hunger
Openalex Percentile: Top 16%
Wildlife Ecology and Conservation
1.72
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