Activity pattern of selected ungulates at Krau Wildlife Reserve

Sanusi, M. A. Mohd; Shukor, Mahfuzah Abdul; Juliana, W. A. Wan; Traeholt, Carl

doi:10.1063/1.4858677

Cited by 10 publications

(9 citation statements)

References 6 publications

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“…The Red Muntjac (Muntiacus muntjak) was always captured as singletons in the images. This species was mainly diurnal, especially active in the morning until late evening (0600h-1700h) as reported by Mohd Sanusi et al (2013), Magintan et al (2010), Novarino (2004Novarino ( , 2005 and Ahmad Zafir et al (2006). The findings from this study suggest that from 232 independent still images recorded, 62.1% of the images were captured during the day, which categorized this species as diurnal.…”

Section: Resultssupporting

confidence: 57%

See 1 more Smart Citation

Diversity and activity pattern of wildlife inhabiting catchment of Hulu Terengganu Hydroelectric Dam, Terengganu, Peninsular Malaysia

Adyla

Ikhwan²,

Zuhairi³

et al. 2016

AIP Conference Proceedings

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Section: Resultssupporting

confidence: 57%

“…The most active time was between 0900h and 1700h (Figure 1e) when the images captured during this period exceeded 20 images for every hour. However, the study by Mohd Sanusi et al (2013) suggested that S. scrofa was active both day and night, whereas Ahmad Zafir et al (2006) found out that this species was most active between 0700h and 1800h.…”

Section: Resultsmentioning

confidence: 97%

Diversity and activity pattern of wildlife inhabiting catchment of Hulu Terengganu Hydroelectric Dam, Terengganu, Peninsular Malaysia

Adyla

Ikhwan²,

Zuhairi³

et al. 2016

AIP Conference Proceedings

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“…All wild ungulates (except wild boar) were mainly active during crepuscular and diurnal, and showed bimodal activity peaks at crepuscular. Such a bimodal pattern with prominent peaks around sunrise and sunset had been found for most wild ungulates [39,43,[70][71][72][73]. Mainland serow showed a high level of activities during diurnal and crepuscular periods, which was contrast to that of another published work [43], which found mainland serow to be nocturnal.…”

Section: Discussionmentioning

confidence: 75%

Temporal and Spatial Activity Patterns of Sympatric Wild Ungulates in Qinling Mountains, China

Xue

Liao

et al. 2022

Animals

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Dramatic increases in populations of wild ungulates have brought a new ecological issue in the Qinling mountains. Information on species’ niche differentiation will contribute to a greater understanding of the mechanisms of coexistence, so as to ultimately benefit the conservation and management of ecological communities. In this study, camera trapping was used to investigate spatial and temporal activity patterns of sympatric wild ungulates in the Qinling Mountains of China, where top predators were virtually absent. We obtained 15,584 independent detections of seven wild ungulate species during 93,606 camera-trap days from April 2014 to October 2017. Results showed that (i) the capture rate differed significantly across species, with the capture rate of reeve muntjac being significantly higher than that of other species; (ii) the wild boar had a higher occupancy rates (ψ = 0.888) than other six ungulates, and distance to settlements had a negative relationship with wild boar (β = −0.24 ± 0.17); (iii) the forest musk deer and mainland serow had low spatial overlaps with other five wild ungulates, while spatial overlap indices of any two given pairs of wild ungulates were relatively high; (iv) all wild ungulates species (expect wild boar) were mainly active during crepuscular and diurnal periods, and showed bimodal activity peaks at around 05:00–07:00 and 17:00–19:00; and finally, (v) all wild ungulates showed moderate to high temporal overlaps. The results provided detailed information of the spatial and temporal ecology of wild ungulate communities in forest ecosystems of China, which also would be a guide to establish conservation priorities as well as efficient management programs.

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“…We recorded GPS coordinates of all barking deer individuals spotted (direct sightings) and indirect signs to prepare the distribution map using Arc GIS 10.8 version. The data was collected during January and February 2019, as then the signs of barking deer are more visible and there is a thinner vegetation in the forest (Skovlin, 1982;Parker et al, 1984;Wilson et al, 1996;Safford, 2004;Sanusi et al, 2013). We did this for 15 days in each study area, from 6:30-10:00 a.m. and from 4:30-6:00 p.m. -during the highest activities of the barking deer and other ungulates (Wilson et al, 1996;Pokharel and Chalise, 2010;Sanusi et al, 2013).…”

Section: Field Data Collectionmentioning

confidence: 99%

Ecological Factors Determining Barking Deer Distribution and Habitat Use in the Mid-Hills of Nepal

et al. 2022

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Barking deer is found in dense tropical and subtropical forests of Asia. It is listed as “least concerned” by the International Union of Conservation of Nature and as “vulnerable” in Nepal, where it is also protected. Due to the habitat loss and fragmentation by human activities, barking deer abundance is decreasing, which may even ultimately lead to its extinction. This in turn might negatively affect local ecosystem such as the abundance of the endangered common leopard, for which barking deer is the main prey species in the mid-hills of Nepal. We therefore need to know factors affecting barking deer abundance and its habitat preferences. To determine these factors, we recorded barking deer either by direct sighting or by any evidence of its indirect presence observed through transect surveys in January and February, 2019. To analyze habitat preference, the presence of barking deer was set to 1 if the barking deer or any sign of its presence were observed “used plots,” or to 0 if the barking deer or any sign of its presence were not observed (“habitat availability plot”). We measured main four ecological drivers such as forest management regime, microclimate, disturbance and food resources, which include 11 habitat characteristics in spots where barking deer was present, and in randomly selected spots. We found that elevation, slope, distance from settlement, presence of tree species, depth of leaf litter and percentage cover of leaf litter were most significantly affecting its presence. These results can serve as guidelines for local authorities to prevent decline in abundance of barking deer.

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Activity pattern of selected ungulates at Krau Wildlife Reserve

Cited by 10 publications

References 6 publications

Diversity and activity pattern of wildlife inhabiting catchment of Hulu Terengganu Hydroelectric Dam, Terengganu, Peninsular Malaysia

Diversity and activity pattern of wildlife inhabiting catchment of Hulu Terengganu Hydroelectric Dam, Terengganu, Peninsular Malaysia

Temporal and Spatial Activity Patterns of Sympatric Wild Ungulates in Qinling Mountains, China

Ecological Factors Determining Barking Deer Distribution and Habitat Use in the Mid-Hills of Nepal

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