Gaur Bos gaurus C. H. Smith, 1827

Ahrestani, Farshid S.; Karanth, Krithi K.

doi:10.1017/cbo9781139568098.013

Cited by 8 publications

(3 citation statements)

References 35 publications

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“…habitat destruction, competition). Furthermore, it is unclear what population changes occur during migration [ 84 ], so a closed population model can only simulate within-herd dynamics and reflect the population impacts in a small population, such as in small protected areas [ 20 , 21 ].…”

Section: Discussionmentioning

confidence: 99%

Impact of infectious diseases on wild bovidae populations in Thailand: insights from population modelling and disease dynamics

Horpiencharoen,

Marshall,

Muylaert

et al. 2024

J. R. Soc. Interface.

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The wildlife and livestock interface is vital for wildlife conservation and habitat management. Infectious diseases maintained by domestic species may impact threatened species such as Asian bovids, as they share natural resources and habitats. To predict the population impact of infectious diseases with different traits, we used stochastic mathematical models to simulate the population dynamics over 100 years for 100 times in a model gaur ( Bos gaurus ) population with and without disease. We simulated repeated introductions from a reservoir, such as domestic cattle. We selected six bovine infectious diseases; anthrax, bovine tuberculosis, haemorrhagic septicaemia, lumpy skin disease, foot and mouth disease and brucellosis, all of which have caused outbreaks in wildlife populations. From a starting population of 300, the disease-free population increased by an average of 228% over 100 years. Brucellosis with frequency-dependent transmission showed the highest average population declines (−97%), with population extinction occurring 16% of the time. Foot and mouth disease with frequency-dependent transmission showed the lowest impact, with an average population increase of 200%. Overall, acute infections with very high or low fatality had the lowest impact, whereas chronic infections produced the greatest population decline. These results may help disease management and surveillance strategies support wildlife conservation.

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Section: Discussionmentioning

confidence: 99%

Impact of infectious diseases on wild bovidae populations in Thailand: insights from population modelling and disease dynamics

Horpiencharoen,

Marshall,

Muylaert

et al. 2024

J. R. Soc. Interface.

View full text Add to dashboard Cite

show abstract

“…habitat destruction, competition). Furthermore, it is unclear what population changes occur during migration [81], so a closed population model can only simulate within-herd dynamics and reflect the population impacts in a small population, such as in small protected areas [21, 20].…”

Section: Discussionmentioning

confidence: 99%

Impact of Infectious Diseases on Wild Bovidae Populations in Thailand: Insights from Population Modelling and Disease Dynamics

Horpiencharoen,

Marshall,

Muylaert

et al. 2023

Preprint

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The wildlife and livestock interface is vital for wildlife conservation and habitat management. Infectious diseases maintained by domestic species may impact threatened species such as Asian bovids, as they share natural resources and habitats. To predict the population impact of infectious diseases with different traits, we used stochastic mathematical models to simulate the population dynamics 100 times over 100 years for a model Gaur (Bos gaurus) population with and without disease. We simulated repeated introductions from a reservoir, such as domestic cattle. We selected six bovine infectious diseases; anthrax, bovine tuberculosis, hemorrhagic septicaemia, lumpy skin disease, foot and mouth disease and brucellosis, all of which have caused outbreaks in wildlife populations. From a starting population of 300, the disease-free population increased by an average of 228%. Brucellosis with frequency-dependent transmission showed the highest average population declines (-97%), with population extinction occurring 16% of the time. Foot and mouth disease with frequency-dependent transmission showed the lowest impact, with an average population increase of 225%. Overall, acute infections with very high or low fatality had the lowest impact, whereas chronic infections produced the greatest population decline. These models can help in disease management and surveillance strategies to support wildlife conservation.

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“…We assessed the model’s accuracy by plotting a new dataset of species occurrences obtained from camera traps and human observations (https://www.gbif.org/) on the binary maps. Because, for example, gaur have been recorded to walk up to 6.3 km a day (mean 1.6 km (Rizal et al, 2020)), we created a 5 km buffer zone measured from the edges of the suitable pixels to include occurrences within the travel distance of wild bovids’ movement (Ahrestani & Karanth, 2014; Gardner et al, 2014). The percentage of points inside and outside the suitable areas and the buffer zone was calculated for each species.…”

Section: Methodsmentioning

confidence: 99%

Mapping threatened Thai bovids provides opportunities for improved conservation outcomes in Asia

Horpiencharoen,

Muylaert,

Marshall

et al. 2023

Preprint

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Wild bovids provide important ecosystem services throughout their native range. In Asia, most are threatened with extinction. Five wild bovids remain in Thailand: gaur (Bos gaurus), banteng (Bos javanicus), wild water buffalo (Bubalus arnee), mainland serow (Capricornis sumatraensis) and Chinese goral (Naemorhedus griseus). However, their populations and habitats have declined substantially and become fragmented. Here, we identified potentially suitable habitat for these five threatened bovids using ecological niche models, first throughout the species entire distribution and second within Thailand, and quantified how much suitable area remains within protected areas. We combined species occurrence data with 28 environmental variables for modelling and used a spatially-restricted Biotic-Abiotic-Mobility framework for two accessible areas: 1) species-specific accessible areas and 2) a single large accessible area. We applied spatially restricted and weighted average ensembles from eight algorithms when generating maps. ForB. gaurusandB. javanicus,the best models predicted suitable habitat was mostly within Southeast Asia, withB. gaurushaving predicted large areas in Thailand and India.B. arneesuitable habitat was mostly in India.C. sumatraensissuitable habitat was mostly in Thailand and Myanmar.N. griseuswas mainly restricted to China. In Thailand, the highest bovid potential richnesses were in the Northern Forest, Western Forest, Eastern Forest and Dong Phayayen-Khao Yai Forest Complexes. We identified unprotected hotspots with >50% of overall suitable habitat located outside protected areas.B. arneehad the smallest proportion of protected habitat (9%). Suitable areas identified in and out protected areas may guide habitat management and conflict mitigation strategies.

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Gaur Bos gaurus C. H. Smith, 1827

Cited by 8 publications

References 35 publications

Impact of infectious diseases on wild bovidae populations in Thailand: insights from population modelling and disease dynamics

Impact of infectious diseases on wild bovidae populations in Thailand: insights from population modelling and disease dynamics

Impact of Infectious Diseases on Wild Bovidae Populations in Thailand: Insights from Population Modelling and Disease Dynamics

Mapping threatened Thai bovids provides opportunities for improved conservation outcomes in Asia

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