AimMaintaining connectivity is critical for long-term persistence of wild carnivores in landscapes fragmented due to anthropogenic activity. We examined spatial genetic structure and the impact of landscape features on connectivity in four wide-spread species- jungle cat (Felis chaus), leopard (Panthera pardus), sloth bear (Melursus ursinus) and tiger (Panthera tigris). Location Our study was carried out in the central Indian landscape, a stronghold in terms of distribution and abundance of large mammals. The landscape comprises fragmented forests embedded in a heterogeneous matrix of multiple land-use types.MethodsMicrosatellite data from non-invasively sampled individuals (90 jungle cats, 82 leopards, 104 sloth bears and 117 tigers) were used to investigate genetic differentiation. Impact of landscape features on gene flow was inferred using a multi-model landscape resistance optimization approach.ResultsAll four study species revealed significant isolation by distance (IBD). The correlation between genetic and geographic distance was significant only over a short distance for jungle cat, followed by longer distances for sloth bear, leopard and tiger. Overall, human footprint had a high negative impact on geneflow in tigers, followed by leopards, sloth bears and the least on jungle cats. Individual landscape variables- land-use, human population density, density of linear features and roads- impacted the study species differently. Although land-use was found to be an important variable explaining genetic connectivity for all four species, the amount of variation explained, the optimum spatial resolution and the resistance offered by different land-use classes varied.Main conclusionsAs expected from theory, but rarely demonstrated using empirical data, the pattern of spatial autocorrelation of genetic variation scaled with dispersal ability and density of the study species. Landscape genetic analyses revealed species-specific impact of landscape features and provided insights into interactions between species biology and landscape structure. Our results emphasize the need for incorporating functional connectivity data from multiple species for landscape-level conservation planning.

Aim Maintaining connectivity is critical for long‐term persistence of wild carnivores in landscapes fragmented due to anthropogenic activity. We examined spatial genetic structure and the impact of landscape features on genetic structure in four widespread species—jungle cat (Felis chaus), leopard (Panthera pardus), sloth bear (Melursus ursinus) and tiger (Panthera tigris). Location Our study was carried out in the central Indian landscape, a stronghold in terms of distribution and abundance of large mammals. The landscape comprises fragmented forests embedded in a heterogeneous matrix of multiple land use types. Methods Microsatellite data from non‐invasively sampled individuals (90 jungle cats, 82 leopards, 104 sloth bears and 117 tigers) were used to investigate genetic differentiation. Impact of landscape features on genetic structure was inferred using a multimodel landscape resistance optimization approach. Results All four study species revealed significant isolation by distance (IBD). The correlation between genetic and geographic distance was significant only over a short distance for jungle cat, followed by longer distances for sloth bear, leopard and tiger. Overall, human footprint had a high negative impact on gene flow in tigers, followed by leopards, sloth bears and the least on jungle cats. Individual landscape variables—land use, human population density, density of linear features and roads—impacted the study species differently. Although land use was found to be an important variable explaining genetic structure for all four species, the amount of variation explained, and the optimum spatial resolution and the resistance values of different land use classes varied. Main conclusions As expected from theory, but rarely demonstrated using empirical data, the pattern of spatial autocorrelation of genetic variation scaled with dispersal ability and density of the study species. Landscape genetic analyses revealed species‐specific impact of landscape features and provided insights into interactions between species biology and landscape structure. Our results emphasize the need for incorporating functional connectivity data from multiple species for landscape‐level conservation planning.

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Tigers continue to face unprecedented threats to their existence due to poaching, habitat loss, habitat fragmentation and anthropogenic disturbances. The present study examines the physiological stress response of tigers due to anthropogenic activities including wildlife tourism in Bandhavgarh Tiger Reserve and Kanha Tiger Reserve using faecal glucocorticoid metabolite (fGCM) measurement. We collected a total of 341 faecal samples from both reserves during tourism and non-tourism periods. Data on various anthropogenic disturbances including tourism activities like number of vehicles and visitors were also collected. We ascertained the species identity and sex of all the samples collected using genetic markers. fGCMs were extracted using a previously reported procedure, and fGCM concentrations were subsequently determined using an established enzyme immunoassay. There was no significant difference in overall mean fGCM concentrations between the two tiger reserves, but within each reserve, concentrations were significantly higher in tigers during the tourism period as compared to the non-tourism period. We also found that the number of tourist vehicles and disturbance level significantly correlated with fGCM concentrations. This study further supports the assumption that unbridled tourism associated with high anthropogenic disturbance can be related to perceived stress and consequently may have an impact on the reproductive fitness of tigers and long-term survival of isolated populations.

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Maintaining gene flow among fragmented habitat patches is critical for the long‐term persistence of wild species. Landscape genetics tools are often used to understand the impact of landscape features on gene flow among fragmented populations. The ability to detect the relationship between gene flow and landscape depends on the power of the genetic tools used, which increases with the number of genotyped loci. Next‐generation sequencing (NGS) based methods allow genotyping of a high number of loci but are challenging to implement for non‐invasive samples, which are commonly used in conservation genetics research. Here we assess the impact of landscape heterogeneity on jungle cat (Felis chaus) movement using genome‐wide single nucleotide polymorphism (SNP) markers obtained from fecal samples, using a methylation‐based DNA (MBD) enrichment method. We successfully genotyped 20 jungle cat individuals at 2246 SNP loci and compared our results to a previous study that used microsatellite markers and 93 individuals. Our results demonstrate the efficiency and robustness of the MBD enrichment approach with fecal samples in generating genome‐wide data for endangered and cryptic species of conservation concern. Our landscape analyses revealed that roads and human‐dominated land‐use negatively impact jungle cat movement in central India. We explicitly quantified the uncertainty in our analyses and concluded that several thousand SNPs from fewer individuals provide more power than tens of microsatellites from more individuals, in quantifying the effects of landscape on gene flow. Our results provide insight into the impacts of anthropogenic habitat modification on an often‐ignored small carnivore species. Insights on connectivity for such species can help policymakers and wildlife managers move beyond connectivity contingent on charismatic species to devise holistic landscape‐level management plans for multiple carnivores.

Introduction : 1, 2 Menstruation is a monthly periodic shedding of uterine lining in reproductive age females. Safe and hygienic menstrual practices and proper disposal of menstrual material is a big challenge in rural areas. To deal with the issue and to raise awareness about the proper hygienic practices an educational intervention program was conducted among the women and adolescent girls in the rural area of Jabalpur district madhya pradesh. Materials & Methods : Cross-sectional and educational intervention study was conducted among 150 female participants. Information was collected through pre and post surveys after an educational programme with audio-visual aids, posters, pamphlets and small group meetings, in three months' duration. Results : Among 150 female participants only 20% were aware of hygienic menstrual practices. After educational intervention, post survey, 24% more participants adopted the use of sanitary pads during menstruation while use of clothes was reduced. More number of participants adopted the practice of burning and burying for disposal of used menstrual materials. 21.33% more females adopted practicing hand washing after changing menstrual materials in a post survey. Conclusion : After educational intervention for the promotion of awareness and hygienic practices, the number of females increased to adopt the use of sanitary pads during menstruation. Number also increased in safe methods of disposal of used menstrual materials. Practice of hand washing after change of menstrual materials was also increased among participants. Less number of participants reported genito-urinary infections. Thus this study suggests the need of educational awareness for promotion of good menstrual hygiene and safe practices, which are crucial for health, 1 education and dignity of girls and women.

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