Space Use by Woolly Wolf Canis lupus chanco in Gangotri National Park, Western Himalaya, India

The woolly wolf Canis lupus chanco is increasingly being accepted as a unique taxon that needs immediate protection and management; however, information on its ecology remains limited across its range. We used camera trapping data set of 4 years (2015–2019) to investigate seasonal activity patterns and space use and assessed woolly wolf food habits in the Gangotri National Park, western Himalaya, India. We used generalized linear mixed models to assess the distribution of the wolf about prey, seasonal livestock grazing, human presence, habitat, and seasons. We observed a positive association with elevation and a negative response to an increase in ruggedness. The capture of wolves increased in winters, indicating a possible effect of snow on the ranging pattern. Spatial avoidance to anthropogenic pressure was not evident in our study; however, temporal avoidance was observed. The activity pattern of the wolf varied among seasons. Wolves were mostly active in the morning and late evening hours in summer and showed a diurnal activity pattern in winter. A less diverse diet was observed where the mean percentage frequency of occurrence and relative biomass was highest for bharal, followed by livestock. Himalayan marmot Marmota himalayana, birds, and rodents also form minor constituents to the diet. Synthesizing all three factors (space, diet, and activity), it may be stated that the wolf presence in the region is influenced by both wild prey availability and seasonality. Therefore, conservation of woolly wolves would require securing a vast landscape with optimal wild prey.

Economical defence of resources structures territorial space use in a cooperative carnivore

Ecologists have long sought to understand space use and mechanisms underlying patterns observed in nature. We developed an optimality landscape and mechanistic territory model to understand mechanisms driving space use and compared model predictions to empirical reality. We demonstrate our approach using grey wolves ( Canis lupus ). In the model, simulated animals selected territories to economically acquire resources by selecting patches with greatest value, accounting for benefits, costs and trade-offs of defending and using space on the optimality landscape. Our approach successfully predicted and explained first- and second-order space use of wolves, including the population's distribution, territories of individual packs, and influences of prey density, competitor density, human-caused mortality risk and seasonality. It accomplished this using simple behavioural rules and limited data to inform the optimality landscape. Results contribute evidence that economical territory selection is a mechanistic bridge between space use and animal distribution on the landscape. This approach and resulting gains in knowledge enable predicting effects of a wide range of environmental conditions, contributing to both basic ecological understanding of natural systems and conservation. We expect this approach will demonstrate applicability across diverse habitats and species, and that its foundation can help continue to advance understanding of spatial behaviour.

Genetic signature of immigrants and their effect on genetic diversity in the recently established Scandinavian wolf population

Transboundary connectivity is a key component when conserving and managing animal species that require large areas to maintain viable population sizes. Wolves Canis lupus recolonized the Scandinavian Peninsula in the early 1980s. The population is geographically isolated and relies on immigration to not lose genetic diversity and to maintain long term viability. In this study we address (1) to what extent the genetic diversity among Scandinavian wolves has recovered during 30 years since its foundation in relation to the source populations in Finland and Russia, (2) if immigration has occurred from both Finland and Russia, two countries with very different wolf management and legislative obligations to ensure long term viability of wolves, and (3) if immigrants can be assumed to be unrelated. Using 26 microsatellite loci we found that although the genetic diversity increased among Scandinavian wolves (n = 143), it has not reached the same levels found in Finland (n = 25) or in Russia (n = 19). Low genetic differentiation between Finnish and Russian wolves, complicated our ability to determine the origin of immigrant wolves (n = 20) with respect to nationality. Nevertheless, based on differences in allelic richness and private allelic richness between the two countries, results supported the occurrence of immigration from both countries. A priori assumptions that immigrants are unrelated is non-advisable, since 5.8% of the pair-wise analyzed immigrants were closely related. To maintain long term viability of wolves in Northern Europe, this study highlights the potential and need for management actions that facilitate transboundary dispersal.

Wild Predators, Livestock, and Free Ranging Dogs: Patterns of Livestock Mortality and Attitudes of People Toward Predators in an Urbanizing Trans-Himalayan Landscape

Livestock depredation by large carnivores is a significant source of conflicts over predators and an important conservation and economic concern. Preventing livestock loss to wild predators is a substantial focus of human-carnivore conflict mitigation programs. A key assumption of the preventive strategy is reduction in the livestock losses leading to a positive shift in the attitudes toward predators. Therefore, it is important to quantify the true extent of livestock mortality caused by wild predators and its influence on attitudes of the affected communities. We examined seasonal and spatial patterns of livestock mortality and factors influencing people's attitudes toward wild predators i.e., snow leopards (Panthera uncia) and wolves (Canis lupus chanco) and free-ranging dogs (Canis lupus familiaris) in a Trans-Himalayan urbanizing landscape in India. We used systematic sampling to select the survey households and implemented a semi-structured questionnaire to respondents. The sampled villages (n = 16) represent a mosaic of urban and agricultural ecosystems within a radius of 40 km of Leh town. In 2016–2017, 93% of the sampled households lost livestock to predators, accounting for 0.93 animals per household per year. However, of the total events of livestock mortality, 33% were because of weather/natural events, 24% by snow leopards, 20% because of disease, 15% because of free-ranging dogs and 9% because of wolves. The annual economic loss per household because of livestock mortality was USD 371, a substantial loss given the average per capita income of USD 270 in the region. Of the total loss, weather/natural events caused highest loss of USD 131 (35%), followed by snow leopards USD 91 (25%), disease USD 87 (24%), free ranging dogs USD 48 (13%), and wolves USD 14 (4%). Despite losing a considerable proportion of livestock (33 %) to wild predators, respondents showed a positive attitude toward them but exhibited neutral attitudes toward free-ranging dogs. Gender emerged as the most important determinant of attitudes toward wild predators, with men showing higher positive attitude score toward wild predators than women. Our findings highlight the context specific variation in human-wildlife interactions and emphasize that generalizations must be avoided in the absence of site specific evidence.

Comparative anatomy of selected bones of forelimb of local Mongrelian Dog (Canis lupus familiaris) in Sokoto, Nigeria

This research was conducted over period of 3 months with the aim of studying Age related changes of selected bones of forelimb (Scapula, Humerus, Radius and Ulna) in Local Mongrelian Dog (Canis lupus familiaris). The study entails biometrical and gross observations on the bones. The sample bones were acquired from the experimental animals of comparative anatomy in the department. The bones were categorized into various age groups for the research. The length, width, diameter and circumference of the samples (scapula, humerus, radius and ulna bones) were determined for all the groups. The shape, size, color, location, position and relation of each segment of the samples at various stages of development were determined. The differences across the age groups of different samples were observed and recorded. Based on the research result, it was concluded that, the biometric and morphometry data was found to be increasing with advancement of age. A baseline data was established with the view to enhance learning.

Characterization of Triatomine Bloodmeal Sources Using Direct Sanger Sequencing and Amplicon Deep Sequencing Methods

Knowledge of host associations of blood-feeding vectors may afford insights into managing disease systems and protecting public health. However, the ability of methods to distinguish bloodmeal sources varies widely. We used two methods—Sanger sequencing and amplicon deep sequencing—to target a 228 bp region of the vertebrate CYTB gene and determine hosts fed upon by triatomines (n = 115) collected primarily in Texas, USA. Direct sanger sequencing of PCR amplicons was successful for 36 samples (31%). Sanger sequencing revealed 15 distinct host species, which included humans, domestic animals (Canis lupus familiaris, Ovis aries, Gallus gallus, Bos taurus, Felis catus, and Capra hircus), wildlife (Rattus rattus, Bufo nebulifer, Sciurus carolinensis, Sciurus niger, Odocoileus virginianus), and captive animals (Panthera tigris, Colobus spp., Chelonoidis carbonarius). Samples sequenced by the Sanger method were also subjected to Illumina MiSeq amplicon deep sequencing. The amplicon deep sequencing results (average of 302,080 usable reads per sample) replicated the host community revealed using Sanger sequencing, and detected additional hosts in five triatomines (13.9%), including two additional blood sources (Procyon lotor, Bassariscus astutus). Up to four bloodmeal sources were detected in a single triatomine (Bufo nebulifer, Homo sapiens, Canis lupus familiaris, and Sciurus carolinensis). Enhanced understanding of vector-host-parasite networks may allow for integrated vector management programs focusing on highly-utilized and highly-infected host species.