Factors driving human–wild pig interactions: implications for wildlife conflict management in southern parts of India

Milda, David; Ramesh, Tharmalingam; Kalle, Riddhika; Gayathri, V.; Thanikodi, M.; Ashish, K.

doi:10.1007/s10530-022-02911-6

Cited by 6 publications

(5 citation statements)

References 66 publications

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“…The population of feral pigs is increasing as they are proli c breeders and breed throughout the year (Senthilkumar, 2016). Crop damage is the most severe issue reported by human-wildpig con ict studies, and it mainly occurs in areas adjoining the forest boundary (Milda et al, 2022). Other species, such as deer, are also studied in con ict and observed to be more involved in crop damage.…”

Section: Discussionmentioning

confidence: 99%

Human-Wildlife Conflicts patterns and underlying impacts: A systematic review

Shameer,

Routray,

Juanita

et al. 2024

Preprint

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Human-wildlife conflict (HWC) is a term often misunderstood, with most people restricting its use to the damage to humans and property by wildlife and not vice versa, thereby leading to a biased approach to its resolution. HWC is rising, primarily due to a growing human population and associated habitat destruction. The lack of critical analyses in the HWC challenge has led to inadequate and poor responses. A systematic review of HWC across India is necessary to understand the trends, hotspots, and significant species involved, develop appropriate mitigation measures, and propose a policy-level framework to minimise its impact on humans and wildlife. For this review, around 246 papers from the past ten years (2012–2022) were collected which mentioned HWC in their keywords. After screening the papers, 172 papers published in 166 different journals were found to be relevant to the present study. Among those 172 papers, most HWC-related papers have been published in Karnataka, followed by Kerala and West Bengal. The highest conflict species seems to be the elephant, followed by wild pigs and leopards. Some other species involved in conflicts are tiger, nilgai, macaque, etc. More focused research is needed on HWC to analyse every factor influencing the rise of HWC in India. Introducing an interdisciplinary approach and involvement of multiple stakeholders could help better manage HWC in India.

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Section: Discussionmentioning

confidence: 99%

Human-Wildlife Conflicts patterns and underlying impacts: A systematic review

Shameer,

Routray,

Juanita

et al. 2024

Preprint

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“…First, the systematic monitoring of wild boar populations and a statistical system of wild boar incidents should be implemented. This will increase knowledge of the status of wild boar population developments to ensure that hunting operations are implemented in a planned manner to control the population [25]. It will also enrich and improve the database of the wild boar risk space identification model, identifying risk spaces with higher accuracy [53,54].…”

Section: Management Recommendationmentioning

confidence: 98%

“…Risk maps can be used to plan the prioritization of preventive measures to increase management effectiveness from both short-and long-term perspectives [25]. According to our risk map, relevant preventive measures could be prioritized for trial implementations in Shaanxi, Sichuan, Hubei, Jiangxi, Shanxi, Hunan, Guizhou, Yunnan, Henan, and Shandong on the eastern side of the Huhuanyong Line and extended to other lower-risk areas after proof of their effectiveness.…”

Section: Management Recommendationmentioning

confidence: 99%

“…Microscale studies focus on exploring the environmental characteristics of spatial distribution. Related research has demonstrated that the probability of human-bear (Ursidae) conflict is negatively correlated with the distance of the conflict site from the core of the reserve [23], the probability of livestock depredation by predators is higher in areas close to villages and open habitats [24], and the probability of human-wild-boar (Sus scrofa) conflict is positively correlated with the distance to the nearest water source [25]. HWC is often closely related to the distance from human communities (farmland, tea plantations, livestock farms, etc.…”

Section: Introductionmentioning

confidence: 99%

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Identifying the Risk Regions of Wild Boar (Sus scrofa) Incidents in China

Zheng,

Lin,

2023

Animals

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The objectives of this study were to identify the risk regions of wild boar incidents in China and to draw a risk map. Risk maps can be used to plan the prioritization of preventive measures, increasing management effectiveness from both a short- and a long-term perspective. We used a web crawler (web information access technology) to obtain reports of wild boar incidents from China’s largest search engine (Baidu) and obtained 196 valid geographic locations of wild boar incidents from the reports. Subsequently, a system of environmental variables—with climate, topography, landscape, and human disturbance as the main variable types—was constructed, based on human–land-system thinking. Finally, the Maxent model was applied to predict the risk space of wild boar incidents in China by integrating the geographic location information for wild boar incidents with the environmental variables. We observed that the types of environmental variables that contributed to wild boar incidents were in the descending order of climate (40.5%) > human disturbance (25.2%) > landscape (24.4%) > topography (9.8%). Among the 14 environmental variables, annual precipitation, the GDP index, and the mean annual temperature were the main environmental variables. The distance from woodland, distance from cultivated land, and elevation were the secondary environmental variables. The response curves of the environmental variables demonstrated that the highest probability of wild boar incidents occurred when the annual average temperature was 16 °C, the annual precipitation was 800 mm, and the altitudes were 150 m and 1800 m. The probability of wild boar incidents decreased with an increase in the distance from cultivated and forested land, and increased sharply and then levelled off with an increase in the GDP index. Approximately 12.18% of China was identified as being at a high risk of wild boar incidents, mainly on the eastern side of the Huhuanyong Line.

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“…Researchers have also recommended the re-consideration of rangeland management and a better evaluation of the efficacy of existing measures to mitigate human snow-leopard conflict, taking into account the ecological and socio-cultural context of such conflicts [ 4 ]. In addition, wildlife species that have become feral animals, such as wild pigs, are also major contributors to human-wildlife conflict in Asian countries [ 5 ]. The bird community in South Asian regions, particularly in Pakistan, India, Nepal, Bangladesh and others, have been facing numerous challenges.…”

mentioning

confidence: 99%