Abundance and physical factors affecting the appearance of selected terrestrial birds in Khao Yai National Park using camera trapping




Abstract. Kanka P, Sukmasuang R, Duengkae P, Siripattaranugul K. 2023. Abundance and physical factors affecting the appearance of selected terrestrial birds in Khao Yai National Park using camera trapping. Biodiversitas 24: 222 232. This study used results from camera traps set for Dhole (Cuon alpinus) and their prey during 2017-2020 in Khao Yai National Park to assess the species richness of ground-dwelling birds and identify abundance and also temporal appearance of the species in the area. We selected only the Pheasant species that typically forage on the ground to investigate the physical factors affecting the appearance in Khao Yai National Park. Based on camera trapping data with a total of 4139 trap days, 115 camera locations showed 36 species of birds belonging to 21 families, and 13 orders of ground-dwelling bird species were recorded. Siamese Fireback (Lophura diardi), Red Junglefowl (Gallus gallus), and Silver Pheasant (Lophura nycthemera) were detected with an abundance index of 10.65%, 7.27%, and 1.84%, respectively. The ground-dwelling bird abundance index from the camera traps accounted for 26.85% of the total fauna. Although the Phasianidae were found to be diurnal species, this study also shows a statistically significant difference in the average time between Red Junglefowl and Siamese Fireback. Meanwhile, there was no statistically significant difference between Red Junglefowl and Silver Pheasant during their active time. The water sources showed a significant effect on the presence of the Siamese Fireback in data analysis; however, no physical environmental factors significantly affected the distribution of Red Junglefowl and Silver Pheasant. This study found that surrounding creeks and streams significantly impacted the appearance of the Siamese Fireback. As a result, area management needs to prevent and reduce disturbances along a creek in order to effectively manage the habitat of the Siamese Fireback and other wildlife.


Avibase - The World Bird Database. 2022. Khao Yai National Park. www.avibase.bsc-eoc.org/checklist.jsp?region=TH0004&list=howardmoore
Bivand R. 2022. Package ‘rgdal’. Bindings for the 'Geospatial' Data Abstraction Library. www.rgdal.r-forge.r-project.org.
Brockelman WY, Nathalang A, Maxwell JF. 2017. Mo Singto Forest Dynamics Plot: Flora and Ecology. National Science and Technology Development Agency, and Department of National Parks, Wildlife and Plant Conservation, Bangkok. www.waa.inter.nstda.or.th/stks/pub/2019/20190722-mo-singto-forest-dynamics-plot.pdf
Charaspet K, Sukmasuang R, Khoewsree N, Pla-Ard M, Paansri P, Keawdee B, Chanachai Y, Bhumpakphan N. 2021. Spatial and temporal overlaps of top predators: Dhole, tiger and leopard, and their potential prey in Huai Kha Khaeng Wildlife Sanctuary, Thailand. Biodiversitas 22: 580-592.
Fennell M, Beirne C, Burton AC. 2022. Use of object detection in camera trap image identification: Assessing a method to rapidly and accurately classify human and animal detections for research and application in recreation ecology. GECCO 35: e02104.
KhaoYaiNationalPark (KYNP). 2022. AboutKYNP.www.khaoyainationalpark.com/en/about/climate
Kovach Computing Services. 2022. ORIANA. United Kingdom. www.kovcomp.co.uk/oriana/oribroc.html
Lamelas-Lopez L, Pardavila X, Amorim IR, Borges PAV. 2020. Wildlife inventory from camera-trapping surveys in the Azores (Pico and Terceira islands). Biodivers. Data J. 8: e47865. DOI:10.3897/BDJ.8.e47865
Mardia KV. 1972. A multi-sample uniform scores test on a circle and its parametric competitor. J. R. Stat. Soc., B: Stat. Methodol. 34:102-113.
Meek PD, Ballard G, Fleming P. 2012. An Introduction to Camera Trapping for Wildlife Surveys in Australia. PestSmart Toolkit publication, Invasive Animals Cooperative Research Centre, Canberra, Australia. www.invasives.com.au/
Puffer SR, Tennant LA, Lovich JE, Agha M, Smith AL, Delaney DK, Arundel TR, Leo J. Fleckenstein LJ, Briggs J, Walde AD, Ennen JR. 2021. Birds not in flight: using camera traps to observe ground use of birds at a wind-energy facility. Wildl. Res. 49(3) 283-294. DOI: 10.1071/WR21071
Roncal CM, Middendorf E, Forsyth A, C?ceres A, Blake JG, Zambrano AMA, Broadbent EN. 2019. Assemblage structure and dynamics of terrestrial birds in the southwest Amazon: a camera?trap case study. J. Field Ornithol. 90(3): 1-12. DOI:10.1111/jofo.12299
Round, P. D. and G. A. Gale. 2008. Changes in the status of Lophura pheasants in Khao Yai National Park, Thailand: a response to warming climate? Biotropica 40(2): 225-230. DOI:10.1111/j.1744-7429.2007.00363.x
Romero-Calderón AG, Botello F, Sánchez-Hernández J, López-Villegas G, Vázquez-Camacho C, Sánchez-Cordero V. 2021. Species diversity of mammals and birds using camera-traps in a cloud forest in a Mexican Hotspot. Southwest. Nat. 65(1):28-33. DOI/10.1894/0038-4909-65.1.4
Rovero F, Tobler M, Sanderson J. 2010. Camera trapping for inventorying terrestrial vertebrates. In: Eymann J, Christoph H, Carlos MJ, Yves S, Didier (eds) Manual on field recording techniques and protocols for all taxa biodiversity inventories. The Belgian National Focal Point to the Global Taxonomy Initiative. www.researchgate.net/publication/229057405
Rcore Team. 2015. RStudio: Integrated Development Environment for R, Boston, MA. www.rstudio.com/
Shah, S. B. and H. P. Shama. 2020. Bird diversity and factors affecting bird abundance at Dullu Municipality, Dailekh, Nepal. Biodiversitas 23(3): 1535-1545. DOI: 10.13057/biodiv/d230343
Shi X, Hu Q, Li J, Tang Z, Yang J, Li W, Shen X, Li S. 2017. Camera-trapping surveys of the mammal and bird diversity in Wolong National Nature Reserve, Sichuan Province. Biodivers. Sci. 25 (10): 1131–1136. DOI: 10.17520/biods.2017193
Sukmasuang R, Charaspet K, Reontik J, Pla-ard M. 2020. Temporal overlap of carnivorous mammal community and their prey in Khao Ang Rue Nai Wildlife sanctuary, Chachoengsao Province, Thailand. Biodiversitas 21(3): 922-932. DOI:10.13057/biodiv/d210310
Sweitzer RA, Furnas BJ. 2016. Data from camera surveys identifying co-occurrence and occupancy linkages between fishers (Pekania pennanti), rodent prey, mesocarnivores, and larger predators in mixed-conifer forests. Data Brief 6 (2016) 783–792. DOI:/10.1016/j.dib.2016.01.032
UNESCO. 2022. Dong Phayayen-Khao Yai Forest Complex. www.whc.unesco.org/en/list/590/
Voskamp A, Butchart SHM, Baker DJ, Wilsey CB, Willis SG. 2021. Site-Based Conservation of Terrestrial Bird Species in the Caribbean and Central and South America under Climate Change. Front. Ecol. Evol. 9: 1-13. DOI:10.3389/fevo.2021.625432
Zaragozí B, Belda A, Giménez P, Navarro JT, Bonet A. 2015. Advances in camera trap
data management tools: Towards collaborative development and integration with GIS. Ecol Inform. 30: 6–11. DOI: 10.1016/j.ecoinf.2015.08.001
Zou F, Zhang Q, Zhang M, Lee M, Wang X, Gong Y, Yang C. 2019. Temporal patterns of
three sympatric pheasant species in the Nanling Mountains: N?mixture modeling applied to detect abundance. Avian Res. 10(42): 1 - 10. DOI: 10.1186/s40657-019-0181-6
Zhang Q, Gong Y, Song X, Wang X, Yang C, Shu Z, Zou F. 2018. Comparing the effectiveness of camera trapping to traditional methods for biodiversity surveys of forest birds. Biodivers. Sci. 26 (3): 229–237. DOI:10.17520/biods.2017275.

Most read articles by the same author(s)

1 2 3 > >>