Search Results (22)

The current range of the jaguar (Panthera onca) spans sixty degrees of latitude across eighteen countries in the Western Hemisphere and covers approximately 7,000,000 km². Throughout this geographical breadth, jaguars represent an essential component of native biological diversity, but conflict revolving around real and perceived jaguar depredation on livestock is a factor in jaguar mortality. We developed a structured questionnaire to evaluate the effectiveness of anti-depredation strategies from northern Mexico to Argentina, collecting data from 11 countries and 248 livestock operations, 194 with efficacy metrics, and 24 with benefit–cost ratios (value of the livestock losses averted/cost of the intervention). Using coarse categories, 11 intervention types were tested. Techniques effectively reducing livestock losses were documented across the entire livestock operation size (2–130,000 ha, 5–30,000 head) and biome spectrum. While the techniques varied in complexity and required levels of investment, successful reductions in depredation were achieved at all levels. We conclude that anti-depredation strategies are highly effective, and when benefits are evaluated, they surpass costs, sometimes substantially. Given the proven efficacy and cost-effectiveness of the techniques described in this paper, we advocate for broader application across the species range to increase tolerance towards jaguars and a more effective human–jaguar coexistence. Full article

Mitigating human–wolf conflict is crucial, yet conventional approaches often overlook the broader socioeconomic challenges faced by farming communities. Wolves frequently become scapegoats for deeper rooted issues such as economic disadvantages, policy deficiencies, and rural depopulation. We conducted semi-structured interviews with 118 livestock farmers to examine (a) farmer profiles and wolf-related interactions, (b) professional challenges and proposed solutions, (c) reasons for perceiving wolves as a major problem, and (d) the impact of wolf presence on job dissatisfaction. Farmers reported low specialized education and job satisfaction, particularly regarding income. Many struggled to afford or find shepherds, especially sheep/goat farmers. Guardian dog poisoning incidents and dissatisfaction with the damage compensation system were prevalent. Key challenges included economic marginalization, wolf presence, climatic factors, inadequate grazing policies, infrastructure deficits, distrust in policy, rural depopulation, and a lack of services. Farmers who perceived wolves as a major problem implemented weaker preventive measures and moved herds seasonally over longer distances. Job dissatisfaction was linked to wolf presence, livestock type, and economic marginalization. Our findings emphasize that while wolves impact farmers, economic and policy-related factors play a greater role. Educational initiatives, supportive policies, effective depredation mitigation, and fair compensation systems are essential for sustainable livestock farming and coexistence with wolves. By tackling socioeconomic challenges, enhancing policies, and supporting farmers to adapt to evolving circumstances, the livestock farming sector can thrive while minimizing conflicts associated with wolves. Full article

The deployment of wildlife fences in Africa serves as a crucial intervention to balance wildlife conservation with human safety and agricultural productivity. This review synthesizes current research and case studies to provide a comprehensive understanding of the implications, benefits, and drawbacks of wildlife fencing in Africa. Information was drawn from 54 articles selected through a thorough search of the Web of Science and Scopus databases. Results indicate that the primary reason for fencing was the mitigation of human–wildlife conflicts. Electric fences were the most commonly mentioned type, prominently used to protect agricultural lands from crop-raiding species. In addition, the prevention of livestock depredation and disease transmission was also an important driver for fencing. Elephants were the most studied species concerning wildlife fencing, and they caused the most damage to fences, creating pathways for other species to move beyond protected areas. Antelopes and large carnivores were also common targets for wildlife fences. Fences were found to be effective mainly against crop raiding particularly when well-maintained through frequent inspections for damages and permeability. Several authors documented challenges in fencing against primates, burrowers, and high-jumping species like leopards. The cost of fences varied depending on the materials, design, and maintenance, significantly impacting local communities near conservation areas. Despite their benefits, wildlife fences posed ecological challenges, such as habitat fragmentation and restricted animal movement, necessitating integrated management approaches that include wildlife corridors and crossing structures. This review provides insights for policymakers and conservationists to optimize the use of fences in the diverse environmental contexts of the African continent. Full article

Limited information exists on the diet of snow leopards (SL), factors affecting livestock mortality, and local attitudes toward SL conservation in the Manaslu Conservation Area (MCA), Nepal. Therefore, we aim to investigate the dietary preferences of SL, the factors influencing livestock mortality, and local conservation attitudes. From November 2021 to January 2022, 23 SL scats were collected along 24 transects (total length: 21.6 km) in MCA. Camera traps, set within 4 km × 4 km grids at 28 stations for 661 trap nights, were used to assess prey availability. Jacobs’ index calculated prey preference, while a Generalized Linear Mixed Model (GLMM) assessed factors linked to livestock depredation. Additionally, 65 households from two villages were randomly selected in a survey on depredation and conservation attitudes. Scat analysis identified six wild prey species, including pika (Ochotona sp.), Himalayan tahr (Hemitragus jemlahicus), and blue sheep (Pseudois nayaur), as well as three domestic species: ox/cow, yak, and horse. Himalayan tahr had the highest presence in the SL diet (40%). Despite pika having the highest Relative Abundance Index (RAI), SL strongly preferred horses and avoided pika. Larger prey, such as horses, Himalayan tahr, and blue sheep, were highly preferred. Households with more livestock experienced higher depredation rates. Local attitudes toward SL conservation were generally positive, with an average score of 2.59. We recommend an integrated SL conservation plan in MCA, incorporating local participation, income diversification, and employment programs to mitigate conflicts and promote coexistence. Full article

The Pendjari Biosphere Reserve is one of the protected areas of Benin where biodiversity conservation policies intertwine with the economic development of local populations. It is located in the Atacora region in northern Benin, which has a high prevalence of poverty and food insecurity among households. Agriculture and livestock farming are the primary activities of the local communities in the villages surrounding the reserve. However, wild animals sometimes cause damage to people’s fields or livestock. To deal with the damage caused by wild animals, local populations have developed several mitigation measures that may not be effective, leading them into a vulnerable situation. Vulnerability is often associated with the impacts of natural disasters and their management, anticipation, and recovery. In the context of human–wildlife conflict, vulnerability refers to the level of risk farmers face from issues such as crop raiding, livestock depredation, and human injury caused by wildlife, as well as farmers’ ability to cope with such damage. To assess the vulnerability of households, we used the Livelihood Vulnerability Index (LVI). Data were collected from July to December 2019 through questionnaires and interviews. We surveyed 320 households to collect data on their socio-demographics, livelihoods, social networks, natural capital, food and water security, and the incidence and severity of human–wildlife conflicts. The results showed that farmers around the Pendjari Biosphere Reserve are highly sensitive to human–wildlife conflicts, with a low adaptive capacity, revealing their vulnerability. More precisely, farmers are vulnerable in terms of major components of the LVI such as water, food, social networks, and livelihoods. Conservation policies are expected to pay more attention to local populations’ vulnerability to human–wildlife conflicts in order to improve their tolerance towards wildlife and guarantee the success of conservation efforts. Full article

Our study assessed patterns of Asiatic black bear (Ursus thibetanus)–human conflicts within the Guthichaur rural municipality, Jumla, Nepal. Through semi-structured interviews with villagers, focus group discussions (FGDs), and key informant interviews (KIIs), we gathered black bear–human conflict information from 2009 to 2019. We identified three primary types of black bear–human interactions: crop damage, livestock depredation, and human injuries. Of these, crop damage (77.03%) emerged as the most prevalent issue. Notably, peak occurrences were observed during autumn (September–October) typically between 9 PM and 3 AM. Livestock depredations were more frequent during nighttime in April–August, with cows/ox (70.12%) being the most depredated animal. Our data also revealed five recorded cases of black bear attacks on humans, which transpired from September to October, primarily in farmland areas in varying years. Despite a prevailing negative perception of bears, a notable level of support exists for their conservation efforts among local communities. Furthermore, these conflicts could be mitigated by reinforcing indigenous crop protection methods and implementing targeted mitigation strategies, as observed in other regions with successful black bear–human interaction management. Full article

Livestock herding is a vital practice in Balochistan, contributing to the economy and culture. The livestock sector is significant in Balochistan, providing 20% of the national stock. Large predators and their prey species, including livestock, have coexisted in these mountainous landscapes for centuries. The aim of the present research is to investigate the impacts of livestock depredation by large predators on livelihoods and predator conservation in two districts of Balochistan, Pakistan. A human–carnivore conflict survey was conducted from July to September 2019, collecting data from 311 residents in a selected study area. Large predators in the study area preyed on a total of 876 livestock during a one-year period, including 560 goats, 292 sheep, 19 cows, and 5 donkeys. The gray wolf is the leading predator, responsible for 66.3% of livestock depredation, followed by the caracal (24.3%), Asiatic jackal (8.9%), and striped hyena (0.6%). The total economic loss was USD 78,694. Overall, 80% of respondents had a negative perception of wolves compared to 24.4% for caracals. Only 20.6% of respondents knew about the importance of conserving carnivores. Livestock depredation by carnivores in the study area created a negative perception of these animals among people. There is a lack of awareness about the importance of conserving carnivore species and their role in the ecosystem. This lack of understanding has ultimately led to detrimental effects on predator populations. It is imperative to raise awareness among people about the ecological significance of carnivores through community meetings, seminars in educational institutions, and providing basic education to herders about effective livestock guarding practices. Full article

Livestock predation induces global human–wildlife conflict, triggering the retaliatory killing of large carnivores. Although domestic dogs (Canis familiaris) contribute to livestock depredation, blame primarily falls on wild predators. Dogs can also transmit pathogens between wildlife, domestic animals, and humans. Therefore, the presence of free-ranging dogs can have negative consequences for biodiversity conservation, smallholder economy, food supply, and public health, four of the United Nations’ Sustainable Developed Goals (SDGs) for 2030. In Ecuador, where livestock sustains rural households, retaliatory poaching threatens Andean bear (Tremarctos ornatus), jaguar (Panthera onca), and puma (Puma concolor) populations. However, the role of dogs in these incidents remains underexplored. The present study evaluates the possibility of reliable molecular identification of predatory species from DNA traces in bite wounds. Our results revealed the presence of dog saliva on four out of six livestock carcasses presumably attacked by wild predators. These findings highlight the importance of rectifying misinformation about large carnivores in Ecuador and the need to control dog populations. We recommend that local administrations incorporate DNA analysis into livestock predation events to examine how common the problem is, and to use the analysis to develop conflict mitigation strategies which are essential for the conservation of large carnivores. Full article

Interactions between people and large carnivores on shared landscapes can have harmful social and ecological consequences. Human–carnivore coexistence depends on an assemblage of sociological factors including effective management institutions that address the social costs of carnivore conservation and promote tolerance toward wildlife. In East Africa, large carnivores are particularly troublesome for herders who depend on livestock for subsistence and wellbeing. This paper provides an overview of human–hyena conflict in the Tarangire ecosystem of northern Tanzania. It presents descriptive results from a questionnaire survey (n = 1076) administered as part of an anthropological study (2019–2020; 2022; 2023) of human–wildlife interactions across twelve villages inhabited by Maasai agropastoralists. The survey instrument was designed through community-based participatory research methods to convey herder concerns about the impacts of spotted hyenas (Crocuta crocuta) on the livestock economy. Based on the perceptions and local ecological knowledge of Maasai interlocutors, the paper provides an overview of the spatial and temporal patterns of human–hyena interactions. Perceived frequencies of hyena attacks on kraaled livestock were unevenly distributed geographically, with those homesteads surrounding Manyara Ranch most heavily affected. Based on herder-reported livestock losses, the costs of depredation by spotted hyenas across the study area were estimated at approximately USD 904.84 per household per year. Most homesteads lacked fortified bomas and would benefit from the provision of lights and fencing materials to improve kraal structures. The paper’s central finding is that spotted hyenas represent a pressing, everyday concern for local pastoralists. Unsurprisingly, herders despise hyenas and are intolerant of sharing landscapes with them. For carnivore conservation outside protected areas to thrive in Tanzania, conservationists and policy makers must engage more meaningfully with the lived experiences of local herders who bear the brunt of conservation costs on their livelihoods. Full article

Human–wildlife conflict is a challenging issue that requires the attention of conservationists worldwide. Habitat fragmentation and encroachment reduce the abundance of prey species, and an increase in the number of predators leads to a higher risk of conflict with large cats such as leopards, jeopardizing conservation efforts. This study explored the spatio-temporal pattern of the human–leopard conflict in Bardia National Park, Nepal, from 2000 to 2020. To analyze the conflict with leopards, we used data (compensation cases filed in the park) from the buffer zone management office, the National Trust for Nature Conservation (NTNC), and the Department of National Park and Wildlife Conservation (DNPWC). Leopard attacks on livestock are increasing exponentially, with 3335 livestock killed in 2652 attacks occurring during the study period. Although livestock depredation by leopards occurred all over the park, the southern cluster has most documented livestock damage (64.01%). The eastern and northern clusters reported fluctuating and dispersed predation events, respectively. Our spatial analysis indicated no effect of topography (slope) on livestock depredation by leopards. We recorded the highest number of leopard attacks and predation during the dry winter season when the nights are longer and livestock remain in their sheds. This carnivore mostly limited its prey to small-sized livestock (95.77%) such as goats, sheep, and pigs, whereas attacks on large-sized (cow and buffalo) livestock were least frequent. Among small-sized livestock, goats are the most predated (66.92%), followed by pigs (20.30%), in all seasons. The escalating human–leopard conflict in BNP is thus a severe threat to conservation efforts as the park has already invested a substantial amount of money (approx. USD 80,000) compensating for livestock lost in leopard attacks over the last two decades. Improving habitat conditions to reduce competition inside the park, developing an insurance scheme for livestock and humans, providing support for upgraded sheds, and the development of practical and feasible strategies that focus on specific animals and clusters of the national park are needed to reduce conflicts to maintain the co-existence between wildlife and human beings. Full article

In Latvia, livestock depredation by wolves has increased during the last two decades. Most of the attacks occur in summer and autumn during wolf hunting season. Use of effective preventive measures in Latvia is low, and farmers primarily rely on wolf hunting as a depredation reduction measure. The total numbers of wolf attacks and number of affected sheep per year in regional forest management units were analyzed in relation to the estimated wolf density, extent of culling, and proportion of juveniles, as well as the sheep density and estimated number of wild prey animals. The response variables (number of attacks and affected sheep per year) were modelled using a negative binomial regression, testing the effects of every covariate separately and building models from the significant covariates. The depredation level was related to sheep density and estimated wolf population size. No reducing effect was found for culling, and an even greater depredation rate was expected when the proportion of culled wolves increased. In addition, no significant effect was associated with the other covariates. However, greater numbers of affected sheep were expected at higher red deer density, suggesting increased opportunistic livestock depredation when red deer locally outcompete roe deer, the preferred wolf prey in Latvia. Full article

Livestock depredation is a major conservation challenge globally, causing significant economic losses to pastoralists and threatening large carnivore species outside protected areas. Our study investigated the temporal and spatial distribution of livestock depredation incidences, carnivore species associated with livestock depredation, and assessed mitigation measures in Maasai Mara Conservancies in Southern Kenya. Using daily monitoring of livestock depredation cases, we made comparisons between livestock attacks occurring in predator-proof bomas and those with traditional kraals. A total of 305 livestock depredation incidents were recorded between January and December 2021, translating to a total tally of 1411 livestock maimed or killed. Most livestock depredation incidents occurred during the day (59%) as opposed to night (41%), but this difference was not significant. Livestock depredation incidents in the nighttime occurred mostly inside traditional kraals (34%) and occurred the least in predator-proof kraals (2%). Lions were responsible for more livestock attacks in the grazing fields compared with leopards, hyenas, and wild dogs. Hyenas were more daring and attacked livestock inside traditional bomas relative to lions and leopards. Our study concludes that predator-proof bomas are more effective in minimizing livestock depredation and can be embraced as a sound intervention for human–carnivore co-existence in communities’ wildlife conservation areas. Full article

As a consequence of the exponential increase of the demographic and technological development of the human being, conflicts with the natural environment are accentuated. Pollution or the loss of biodiversity represent examples of problems that we must face to maintain the balance between the evolution of human beings and the conservation of nature. However, there are conflicts whose origin is not as modern as those mentioned, and we return to the Neolithic to find the origin of the conflict of man with the great predators. This condition has existed since then and at this point in history, is reaching very high levels of tension in developed countries, as a result of the depredation of livestock. Wolf is one of the species that generates more conflict and is currently suffering a slight demographic expansion. Although current laws mostly seek their recovery and conservation, the wolf is experiencing great difficulties due to the poor social perception it has. Faced with this situation, a model has been developed using geographic information systems which categorizes the areas according to their probability that the cattle could suffer a wolf attack. Based on natural and anthropogenic variables of the environment, the areas with a greater or lesser probability of attack were evaluated, with the objective of designing a prevention plan to reduce or eliminate the attacks. Since different authors demonstrate that population control measures on the species are not effective in reducing attacks on livestock, the solution to the conflict should be based on preventive measures. The use of the designed model will enable the competent authorities to apply these measures optimally, reducing expenses and allowing to anticipate future areas of conflict. Full article

Agriculture and animals are two crucial factors for ecological balance. Human–wildlife conflict is increasing day-by-day due to crop damage and livestock depredation by wild animals, causing local farmer’s economic loss resulting in the deepening of poverty. Techniques are needed to stop the crop damage caused by animals. The most prominent technique used to protect crops from animals is fencing, but somehow, it is not a full-proof solution. Most fencing techniques are harmful to animals. Thousands of animals die due to the side effects of fencing techniques, such as electrocution. This paper introduces a virtual fence to solve these issues. The proposed virtual fence is invisible to everyone, because it is an optical fiber sensor cable, which is laid 12-inches-deep in soil. A laser light is used at the start of the fiber sensor cable, and a detector detects at the end of the cable. The technique is based on the reflection of light inside the fiber optic cable. The interferometric technique is used to predict the changes in the pattern of the laser light. The fiber cable sensors are connected to a microprocessor, which can predict the intrusion of any animal. The use of machine learning techniques to pattern detection makes this technique highly efficient. The machine learning algorithms developed for the identification of animals can also classify the animal. The paper proposes an economical and feasible machine-learning-based solution to save crops from animals and to save animals from dangerous fencing. The description of the complete setup of optical fiber sensors, methodology, and machine learning algorithms are covered in this paper. This concept was implemented and regressive tests were carried out. Tests were performed on the data, which were not used for training purposes. Sets of people (50 people in each set) were randomly moved into the fiber optic cable sensor in order to test the effectiveness of the detection. There have been very few instances where the algorithm has been unable to categorize the detections into different animal classes. Three datasets were tested for configuration effectiveness. The complete setup was also tested in a zoo to test the identification of elephants and tigers. The efficiency of identification is 94% for human, 80% for tiger, and 75% for elephant. Full article

Hunting dog depredation by wolves triggers retaliatory killing, with negative impacts on wildlife conservation. In the wider area of the Dadia-Lefkimi-Soufli Forest National Park, reports on such incidents have increased lately. To investigate this conflict, we interviewed 56 affected hunters, conducted wolf trophic analysis, analyzed trends for 2010–2020, applied MAXENT models for risk-map creation, and GLMs to explore factors related to depredation levels. Losses averaged approximately one dog per decade and hunter showing a positive trend, while livestock depredations showed a negative trend. Wolves preyed mainly on wild prey, with dogs consisting of 5.1% of the winter diet. Low altitude areas, with low to medium livestock availability favoring wolf prey and game species, were the riskiest. Dogs were more vulnerable during hare hunting and attacks more frequent during wolf post-weaning season or in wolf territories with reproduction. Hunter experience and group hunting reduced losses. Wolves avoided larger breeds or older dogs. Making noise or closely keeping dogs reduced attack severity. Protective dog vests, risk maps, and enhancing wolf natural prey availability are further measures to be considered, along with a proper verification system to confirm and effectively separate wolf attacks from wild boar attacks, which were also common. Full article