RUDA, Aleš, Jaromír KOLEJKA and Thakur SILWAL. GIS-Assisted Prediction and Risk Zonation of Wildlife Attacks in the Chitwan National Park in Nepal. ISPRS International Journal of Geo-Information. Basel: MDPI AG, 2018, vol. 7, 9: 369, p. nestránkováno, 21 pp. ISSN 2220-9964. Available from: https://dx.doi.org/10.3390/ijgi7090369.
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Basic information
Original name GIS-Assisted Prediction and Risk Zonation of Wildlife Attacks in the Chitwan National Park in Nepal
Name in Czech Využití GIS k předpovědi rizika napadení člověka zvířetem a k zonaci rizika v NP Chitwan v Nepálu
Authors RUDA, Aleš, Jaromír KOLEJKA and Thakur SILWAL.
Edition ISPRS International Journal of Geo-Information, Basel, MDPI AG, 2018, 2220-9964.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10508 Physical geography
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 1.840
Organization unit Faculty of Education
Doi http://dx.doi.org/10.3390/ijgi7090369
UT WoS 000445767900037
Keywords (in Czech) zonace rizika; Kernelovská hustota; bezpečnostní analýza; řízení chráněných území
Keywords in English risk zonation; kernel density; safety analysis; protected area management
Tags Chitwan NP, GIS, management, models, risk assessment, wildlife-human conflicts
Tags International impact, Reviewed
Changed by Changed by: Dana Nesnídalová, učo 831. Changed: 7/2/2019 15:26.
Abstract
Population growth forces the human community to expand into the natural habitats of wild animals. Their efforts to use natural sources often collide with wildlife attacks. These animals do not only protect their natural environment, but in the face of losing the potential food sources, they also penetrate in human settlements. The research was situated in the Chitwan National Park (CNP) in Nepal, and the aim of this study was to investigate possible geospatial connections between attacks of all kinds of animals on humans in the CNP and its surroundings between 2003 and 2013. The patterns of attacks were significantly uneven across the months, and 89% of attacks occurred outside the park. In total, 74% attacks occurred in the buffer zone forests and croplands within 1 km from the park. There was a strong positive correlation among the number of victims for all attacking animals with a maximum of one victim per 4 km2, except elephant and wild boar. The density of bear victims was higher where the tiger and rhino victims were lower, e.g., in the Madi valley. The data collected during this period did not show any signs of spatial autocorrelation. The calculated magnitude per unit area using the kernel density, together with purpose-defined land use groups, were used to determine five risk zones of wildlife attacks. In conclusion, it was found that the riskiest areas were locations near the forest that were covered by agricultural land and inhabited by humans. Our research results can support any local spatial decision-making processes for improving the co-existence of natural protection in the park and the safety of human communities living in its vicinity
Abstract (in Czech)
Population growth forces the human community to expand into the natural habitats of wild animals. Their efforts to use natural sources often collide with wildlife attacks. These animals do not only protect their natural environment, but in the face of losing the potential food sources, they also penetrate in human settlements. The research was situated in the Chitwan National Park (CNP) in Nepal, and the aim of this study was to investigate possible geospatial connections between attacks of all kinds of animals on humans in the CNP and its surroundings between 2003 and 2013. The patterns of attacks were significantly uneven across the months, and 89% of attacks occurred outside the park. In total, 74% attacks occurred in the buffer zone forests and croplands within 1 km from the park. There was a strong positive correlation among the number of victims for all attacking animals with a maximum of one victim per 4 km2, except elephant and wild boar. The density of bear victims was higher where the tiger and rhino victims were lower, e.g., in the Madi valley. The data collected during this period did not show any signs of spatial autocorrelation. The calculated magnitude per unit area using the kernel density, together with purpose-defined land use groups, were used to determine five risk zones of wildlife attacks. In conclusion, it was found that the riskiest areas were locations near the forest that were covered by agricultural land and inhabited by humans. Our research results can support any local spatial decision-making processes for improving the co-existence of natural protection in the park and the safety of human communities living in its vicinity
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