Spatiotemporal patterns of human wildlife conflict around Kasungu National Park, Malawi

Abstract Human–wildlife conflict (HWC) provides conservation and livelihood challenges around Kasungu National Park (KNP) in Malawi, where communities largely experience crop damage and livestock predation. This study investigated the spatio-temporal patterns of HWC around KNP using 2059 HWC incidents recorded from 2018 to 2024, and supplemented with community survey data. The spatial analysis, using the Nearest Neighbour Ratio (NNR) method, revealed significant clustering of HWC cases (NNR = 0.25–0.54, p < 0.001). Kernel Density Estimation (KDE) visualised HWC changing hotspots along the KNP eastern boundary. Temporal analysis showed significant seasonal variation in HWC (Kruskal–Wallis χ 2 = 10.20, df = 2, p < 0.006), and community members perceived an increase in HWC (92.8%). Spearman correlation showed rainfall (rho = − 0.365, p < 0.001), distance to permanent water sources (rho = − 0.361, p < 0.001), and distance to villages (rho = − 0.321, p < 0.001) as the most significant predictors of HWC. Generalised Additive Models (GAMs) explained 67.4% of the deviance in HWC intensity (adjusted R 2 = 0.661), confirming statistically significant non-linear relationships for these variables ( p < 0.001). African savanna elephants ( Loxodonta africana) accounted for 83.4% of HWC incidents. Despite data limitations, the study findings provide an integrated spatial-socio ecological assessment of HWC around KNP and offer actionable guidance for targeted mitigation, including electric fencing, ranger deployments and community engagement.

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Publication Details

Journal
Discover Environment
Published
2026-04-21
DOI
https://doi.org/10.1007/s44274-026-00687-3
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
0.00
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article

Spatiotemporal patterns of human wildlife conflict around Kasungu National Park, Malawi

Jabulani Nyengere, Emmanuel Chinkaka, Chikondi Chisenga, Harineck Mayamiko Tholo et al.
Discover Environment
Wildlife Ecology and Conservation
article

Spatiotemporal patterns of human wildlife conflict around Kasungu National Park, Malawi

Jabulani Nyengere, Emmanuel Chinkaka, Chikondi Chisenga, Harineck Mayamiko Tholo, Petros Kachulu, Tiwonge Mzumara Gawa, Steven Gondwe
article en

Abstract

Abstract Human–wildlife conflict (HWC) provides conservation and livelihood challenges around Kasungu National Park (KNP) in Malawi, where communities largely experience crop damage and livestock predation. This study investigated the spatio-temporal patterns of HWC around KNP using 2059 HWC incidents recorded from 2018 to 2024, and supplemented with community survey data. The spatial analysis, using the Nearest Neighbour Ratio (NNR) method, revealed significant clustering of HWC cases (NNR = 0.25–0.54, p < 0.001). Kernel Density Estimation (KDE) visualised HWC changing hotspots along the KNP eastern boundary. Temporal analysis showed significant seasonal variation in HWC (Kruskal–Wallis χ 2 = 10.20, df = 2, p < 0.006), and community members perceived an increase in HWC (92.8%). Spearman correlation showed rainfall (rho = − 0.365, p < 0.001), distance to permanent water sources (rho = − 0.361, p < 0.001), and distance to villages (rho = − 0.321, p < 0.001) as the most significant predictors of HWC. Generalised Additive Models (GAMs) explained 67.4% of the deviance in HWC intensity (adjusted R 2 = 0.661), confirming statistically significant non-linear relationships for these variables ( p < 0.001). African savanna elephants ( Loxodonta africana) accounted for 83.4% of HWC incidents. Despite data limitations, the study findings provide an integrated spatial-socio ecological assessment of HWC around KNP and offer actionable guidance for targeted mitigation, including electric fencing, ranger deployments and community engagement.

Discover EnvironmentVol. 4(1)
Parks and Wildlife Service (AU), Malawi University of Science and Technology (MW), University of Delaware (US)
Life in Land
Openalex Percentile: Top 16%
Wildlife Ecology and Conservation
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