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64 results for “Pangolin”
Data from: Habitat preference and den characterization of Indian Pangolin (Manis crassicaudata) in a tropical lowland forested landscape of southwest Sri Lanka
The Indian pangolin (Manis crassicaudata) is under threat due to hunting for local consumption and illegal trafficking of scales and meat. The dearth of scientific studies on the ecology of the M. crassicaudata has impaired accurate assessments of its conservation needs. This study investigated the habitat preference and burrow characteristics of M. crassicaudata in a tropical lowland rainforest in southwest Sri Lanka. A total of 75 burrows (54 feeding burrows and 21 resting burrows) of M. crassicaudata in four different habitat types i.e. secondary forest, Pine-dominated forest, rubber cultivations and tea-dominated home gardens bordering forest were observed using fixed-width transects in order to characterize resting and feeding burrows of this species. The highest density of resting burrows was recorded from the secondary forest (4ha-1), followed by rubber cultivations (2.5ha-1) while no resting burrows were recorded in Pine-dominated forest and tea-dominated home gardens bordering forest. Feeding burrows were more abundant in Pine-dominated forest (5.7ha-1). The burrow depth, burrow opening height and width were significantly larger in resting burrows compared to feeding burrows. Resting burrows were located at higher elevations (75-100m) with moderately high slopes (450-600), dense canopy cover (>75%) and away from human habitation. Feeding burrows showed a greater variability in terms of associated environmental features. The study further revealed that Indian pangolins exclusively prefer habitat with rocks and boulders under which they dig resting burrows while the location of feeding burrows largely overlaps with the distribution of prey species. The resting burrow design consisted of a bending tunnel that initially slopes downward and then gradually inclines at an angle between 20 and 300, leading to the resting chamber. Our study highlights the importance of conserving fragmented secondary natural forests in changing landscapes of the southwest lowlands of Sri Lanka as these habitats appear to be critical to sustaining populations of M. crassicaudata.
Factors influencing the habitat choice of pangolins (Manis spp.) in low land of Nepal
<p><span>Pangolins in the genus <i>Manis </i>are nocturnal, burrowing, insectivorous mammals listed as Critically Endangered or Endangered by the International Union for Conservation of Nature. Of the eight extant pangolin species worldwide, two species are found in Nepal: the Chinese pangolin (<i>Manis pentadactyla</i>) and the Indian pangolin (<i>Manis crassicaudata</i>). Despite having a great ecological role by controlling the ants or termite population, little attention has been given to the conservation interventions of both species of pangolins found in the Terai region (low land) of Nepal. The present study assesses habitat use and factors affecting the habitat choice of pangolins in low land (Terai), Nepal. The research was focused on Amritdharapani community forest of Chitwan district. Pangolin burrows were used as the indirect signs of pangolin presence. A total of thirty-nine burrows were observed at elevations ranging from 301 to 413 m asl. Burrows were frequently associated with north-west aspects, gentle slope (15º to 20º), moderate canopy cover (51 to 75%), red-colored soil, and acidic soils with pH 6.5 to 7. The burrows were most common in areas with weak human disturbance (i.e. 1500 to 1700 m from settlements), 800 to 1200 m from roads, and with-in 300 m from a water source and with-in 20 m from the nearest termitarium. This study revealed distance to settlement, distance to road, soil pH, and canopy cover as major factors affecting the habitat choice of pangolins in the study area. </span></p>
Illegal trade of pangolins meat in China
<p>Illegal trade data of pangolins meat in China during 2000 to 2021.</p>
Figure 3 in Drivers of Indian pangolin (Manis crassicaudata) mortality in Central and Western Pakistan
Figure 3: PCA plot showing factors that are responsible for the mortality of Indian pangolin in Punjab.
Plate 1 in Drivers of Indian pangolin (Manis crassicaudata) mortality in Central and Western Pakistan
Plate 1: Microscopic picture of Amblyomma javanense that were present in the scales of Indian pangolin.
Figure 8 in Insights into surveying pangolins using ground and arboreal camera traps
Figure 8: Estimated detection probability with 95 % confidence interval for models run using each combination of cameras for black-bellied pangolins. For example, with 1 camera there are 6 combinations, either only camera 1, 2, 3, 4, 5, or 6. Red X's at 0 represent models that did not have enough detections for model convergence.
Figure 6 in Insights into surveying pangolins using ground and arboreal camera traps
Figure 6: Map showing the location of where black-bellied pangolin were detected during the study. Sites with a black dot were sites where cameras were placed but no black-bellied pangolin were detected, aqua are sites where 1 of the 6 cameras at the site detected the pangolin, and yellow are sites where 3 of the 6 cameras at the site detected pangolin.
Figure 7 in Insights into surveying pangolins using ground and arboreal camera traps
Figure 7: Relationship between the linear (height) effect of camera height (A), the quadratic (height + height2) effect of camera height (B), the linear (zone) effect of camera zone (C), and the quadratic (zone + zone2) effect of camera zone (D) on detection probability for black-bellied pangolin.
Figure 4 in Insights into surveying pangolins using ground and arboreal camera traps
Figure 4: Relationship between camera zone and detection probability for white-bellied pangolin using the model zone + zone2 on detection probability.
Figure 5 in Insights into surveying pangolins using ground and arboreal camera traps
Figure 5: Estimated detection probability with 95 % confidence interval for models run using each combination of cameras for white-bellied pangolins. For example, with 1 camera there are 6 combinations, either only camera 1, 2, 3, 4, 5, or 6. Red X's at 0 represent models that did not have enough detections for model convergence.
Figure 3 in Insights into surveying pangolins using ground and arboreal camera traps
Figure 3: Map showing white-bellied pangolin detection locations during the study. Black dot are sites where cameras were placed but no white-bellied pangolin were detected,aqua are sites where 1 of the 6 cameras at the site detected the pangolin, and yellow are sites where 3 of the 6 cameras at the site detected pangolin.
Figure 1 in Insights into surveying pangolins using ground and arboreal camera traps
Figure 1: Location of camera trap survey locations for 2022 shown with yellow dots, as well as previous camera trap locations, shown with black dots.The map also shows rivers, roads, as well as the central, buffer, and transition zones of the park.
Figure 6 in Drivers of Indian pangolin (Manis crassicaudata) mortality in Central and Western Pakistan
Figure 6: Details of social media accounts that were used to collect information about Indian pangolin.
Supplementary material 3 from: Harrington LA, D'Cruze N, Macdonald DW (2018) Rise to fame: events, media activity and public interest in pangolins and pangolin trade, 2005–2016. Nature Conservation 30: 107-133. https://doi.org/10.3897/natureconservation.30.28651
Collated datasets : Explanation note: Annual Facebook posts and news articles, 2005–2016; monthly Google Trends, 2005–2016 (including daily Wikipedia July 2015 – December 2016); weekly Google Trends, 2015–2016; daily Facebook posts and news articles, 2015–2016.
Supplementary material 2 from: Harrington LA, D'Cruze N, Macdonald DW (2018) Rise to fame: events, media activity and public interest in pangolins and pangolin trade, 2005–2016. Nature Conservation 30: 107-133. https://doi.org/10.3897/natureconservation.30.28651
News articles. Complete text of all news articles retrieved from Nexis UK under the search term 'pangolin', January 2005 – December 2016 :
Supplementary material 1 from: Harrington LA, D'Cruze N, Macdonald DW (2018) Rise to fame: events, media activity and public interest in pangolins and pangolin trade, 2005–2016. Nature Conservation 30: 107-133. https://doi.org/10.3897/natureconservation.30.28651
Facebook posts : Explanation note: Posters, date and number of comments, likes and shares, for all Facebook posts, 2005–2016, under the search term 'pangolin wildlife trade' (note that the first post on 'pangolin wildlife trade' was posted in 2008).
Supplementary material 1 from: D'Cruze N, Singh B, Mookerjee A, Harrington LA, Macdonald DW (2018) A socio-economic survey of pangolin hunting in Assam, Northeast India. Nature Conservation 30: 83-105. https://doi.org/10.3897/natureconservation.30.27379
Hunter questionnaire : Explanation note: English translation of questions asked and information recorded.
Supp. Info. and Data for Forensic analysis of novel SARS2r-CoV identified in game animal datasets in China shows evolutionary relationship to Pangolin GX CoV clade and apparent genetic experimentation
<p>Supplementary Info. and Data to accompany: Forensic analysis of novel SARS2r-CoV identified in game animal datasets in China shows evolutionary relationship to Pangolin GX CoV clade and apparent genetic experimentation</p> <p>Supp_Info_2.xlsx</p> <p>Supp_Info_3.xlsx</p> <p>Supp. Data:</p> <p>Novel GX_ZC45r-CoV genome: GX_ZC45r-CoV.fa</p> <p>Gap filled GX_ZC45r-CoV genome: GX_ZC45-CoV_ZC45_gap_filled_no_polyA.fa</p> <p>Read alignments to gap filled GX_ZC45r-CoV genome using minimap2: GX_ZC45-CoV_ZC45_gap_filled_no_polyA_minimap2_16_SRA.sam</p> <p> </p>
Supplementary material 2 from: D'Cruze N, Assou D, Coulthard E, Norrey J, Megson D, Macdonald DW, Harrington LA, Ronfot D, Segniagbeto GH, Auliya M (2020) Snake oil and pangolin scales: insights into wild animal use at "Marché des Fétiches" traditional medicine market, Togo. Nature Conservation 39: 45-71. https://doi.org/10.3897/natureconservation.39.47879
Table S1. List of inferred species and their respective scientific names (assigned to each common name provided by questionnaire respondents) based on the documented presence of wild populations in Togo
Virus diversity, wildlife-livestock circulation and potential zoonotic viruses of small mammals, pangolins and zoo animals
<p>Virus diversity, wildlife-livestock circulation and potential zoonotic viruses of small mammals, pangolins and zoo animals<br> In this analysis, all relevant Electropherogram files, alignment files and tree files were shown.</p>
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OpenNeuro
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