Deer Hunting Research Articles

Political identity as a driver of hunter responses to chronic wasting disease in a post-COVID world

ABSTRACT Chronic wasting disease (CWD) has emerged as a wildlife management challenge. Human dimensions of CWD management are critical because hunters impact disease transmission and influence management viability. We expanded recent research by evaluating how political identity contributed to perceived risk, concern, intended behavior, and management preferences for CWD among deer hunters in North Carolina and South Carolina (n = 1430) during 2022. Political identity was among the most influential predictors of responses to CWD. Compared to moderates and liberals, conservative hunters reported lower risk perceptions, lower concern about risk to themselves and people that they know, greater likelihoods of hunting in an area with detections, and lower acceptances of management actions to limit the spread of CWD. To garner support for management, CWD communications may need to emphasize the necessity of agency intervention or the disease’s low risk toward human health, depending on the political identity of the audience receiving the information.

Spotlight hunting of invasive deer (Axis axis) selects for individuals with greater reproductive value in a protected area of north-eastern Argentina

Spotlight hunting of invasive deer (Axis axis) selects for individuals with greater reproductive value in a protected area of north-eastern Argentina

Deer Hunting Season and Firearm Violence in US Rural Counties

Firearm violence is a major public health problem in the US. However, relatively little research has focused particular attention on firearm violence in rural areas, and few studies have used research designs that draw on exogenous variation in the prevalence of firearms to estimate the association between firearm presence and shootings. To investigate the association between the start of deer hunting season and shootings in rural counties in the US. In this cohort study, data from all rural US counties in states with available data on the timing of deer hunting season were matched with data on shootings from the Gun Violence Archive from January 1, 2014, to December 31, 2021. Shootings in the first 3 weeks of deer hunting season were compared with the week prior to the start of deer hunting season. The main outcome was daily total shootings. The association between the start of deer hunting season and shootings was estimated using Poisson regression models to analyze change within counties while controlling for relevant calendar year, month of year, and seasonal effects. The sample included 854 rural counties with a mean (SD) population of 16 416 (18 329) per county and 5.4 (13.3) annual shootings per 100 000 people. The county fixed-effects specification analyzing the association between deer hunting season and shootings showed that relative to the week prior to deer hunting season, the incidence rate ratio for total shootings was 1.49 (95% CI, 1.13-1.95) for the first week of deer hunting season and 1.41 (95% CI, 1.02-1.94) for the second week of deer hunting season. Estimates remained consistent when excluding hunting accidents and were most pronounced in states with more hunting licenses per capita. In this cohort study of the association between the start of deer hunting season and firearm violence, results showed that the start of deer hunting season was associated with a substantial increase in shootings. The findings highlight the role of firearm prevalence in gun violence and suggest the need for focused policies designed to reduce firearm violence in areas with substantial hunting activity during the first weeks of deer hunting season.

Differences between resident and nonresident hunters’ perceptions about CWD and associated implications: a case study from Colorado

ABSTRACT State wildlife agencies (SWAs) rely on hunter harvest submissions to help monitor and manage chronic wasting disease (CWD). Thus, effective CWD management is contingent upon SWAs’ understanding of hunters’ attitudes about, concerns with, and management preferences used to address CWD. We examined these and other human dimensions constructs, including trust and behavioral intentions, by surveying a random sample of resident and nonresident deer hunters who had purchased licenses in areas of Colorado where CWD had been detected. Our results suggest that regardless of residency, hunters are concerned about CWD. However, we detected substantive differences across the groups’ hunting motivations, management acceptability, and behavioral intentions. These data can help agencies develop communication strategies based on specific stakeholder motivations, concerns, and management preferences. Additionally, findings can help SWAs understand how hunting behavior may change if CWD prevalence increases, allowing them to adjust course as needed.

A novel deer hunting optimized cat boost approach for interactive medical decision-making system

The need for precise and effective medical decision-making mechanisms is driving constant change in the healthcare sector. In this regard, algorithms based on machine learning are becoming prominent due to their potential to help medical practitioners diagnose and cure a wide range of illnesses. All over the world, one significant public health issue is chronic kidney disease (CKD), which requires prompt and precise diagnosis to manage and cure. A new Deer Hunting Optimized CatBoost (DHO-CB) method for CKD seriousness prediction is presented in this research. Our approach takes advantage of CatBoost's built-in flexibility and resilience by incorporating an optimization framework inspired by deer hunting. This framework dynamically modifies model parameters to traverse intricate medical data environments. The standard CKD dataset is used to verify the suggested DHO-CB approach, and Python is the primary language used in this study. In terms of kappa coefficient (92.6%), f1-score metrics (97.7%), accuracy (97.2%), and specificity (95.5%), the effectiveness of the suggested DHO-CB approach is examined. Based on this analyzed data, our suggested DHO-CB approach outperforms other current approaches in CKD prediction as well as severity assessment. The suggested DHO-CB offers a viable path toward the creation of complex yet approachable medical decision support systems, which will promote increased accuracy and effectiveness in the identification and treatment of CKDs.

Retraction Note: Performance of deer hunting optimization based deep learning algorithm for speech emotion recognition

Retraction Note: Performance of deer hunting optimization based deep learning algorithm for speech emotion recognition

Новая древнекорякская стоянка Пронкина на п-ове Пьягина (Северное Приохотье)

The history of archaeological research on the Pyagina Peninsula is considered. Information on a new Old Koryak site in this area, discovered on the Pronkina River, is given. The collected materials from the site, represented by tools and artifacts made from stone, whale bone, deer antler, as well as pottery fragments are analyzed. The site inhabitants were engaged in marine and deer hunting, obtaining plant food, processing animal skins, and making pottery. The site is tentatively dated to the first half of the 2nd millennium AD. The study of Old Koryak settlements in this area can provide the most important material on the problem of the Koryak ancestors settling the territory to east of the Tauy, on their adaptation, economic activities, of the marine hunting industry development by this population, and its contacts with its northeastern neighbors.

Using Personal Norms to Understand Deer Hunters’ Chronic Wasting Disease (CWD) Prevention Behaviors: The “Right” Thing to Do

To protect wild deer populations (and their beneficiaries) from the negative consequences of chronic wasting disease (CWD), it is crucial to engage deer hunters in disease prevention. Early qualitative findings suggest CWD-relevant behaviors evoke moral or ethical considerations in deer hunters which may help to explain behaviors. The present study applies norm-activation theory (NAT) to explore the relationship between personal norms and CWD-preventative behavioral intentions. We surveyed 2,000 New York, USA residents licensed to hunt in the bordering CWD-positive state of Pennsylvania, USA, and find most hunters have activated personal norms to help prevent a CWD (re)introduction to New York. We find as perceived effectiveness of the behaviors (in helping to prevent CWD) increases, the odds of activated personal norms increase, as do intentions to perform the behaviors. Our findings offer insights into deer hunter involvement in CWD prevention and the potential influence of internal motivation on the respective behaviors.

Taylor’s law and quasi-experimental hunting of invasive wild boar and axis deer in a protected area of north-eastern Argentina

Context Overabundant ungulate populations frequently cause ecological and economic damage and are difficult to control. Sustained culling efforts at El Palmar National Park have largely reduced wild boar (Sus scrofa) numbers and damage but have failed to halt the ever-increasing abundance of axis deer (Axis axis) for undefined reasons. Multi-year camera-trap surveys indicated a mismatch between deer core activity and the usual timing of hunting sessions. Aim We used the spatial and temporal forms of Taylor’s law (TL, a power relationship between the sample mean and sample variance) to test whether overnight hunting sessions are more effective for culling axis deer and wild boar than are daytime sessions, and assessed whether they modify ungulate harvest composition. Methods We implemented a quasi-experimental trial (i.e. ‘experiments in which units are not assigned to conditions randomly’), including nine alternating blocks of four to seven hunting sessions each (overnight or daytime) in which an average of 42 hunter groups performed controlled shooting over bait from fixed elevated blinds, retrieved, sexed, weighed and measured all quarry. Key results The relationship between the mean and variance of ungulate crude catch per hunting-party session and crude catch per unit effort (CPUE, where effort is measured in hunting-party hours) by hunting shift satisfied the spatial and temporal TL. On average, axis deer catch was 2.39–2.61 times greater in overnight than in daytime sessions, whereas CPUE indices were 1.54–1.73 times greater. For wild boar, overnight sessions returned catches similar to (0.94–1.03×), and a significantly lower CPUE (0.63–0.67×) than for daytime sessions. The harvest indices were substantially aggregated in daytime sessions only, and were consistently skewed towards yearlings or subadults and males, especially among adult deer. Overnight sessions culled proportionally more adults and more pregnant hinds and sows than did daytime sessions, and significantly heavier deer and wild boar males. Conclusions Overnight sessions were substantially more effective for culling deer than were daytime sessions, and selected for individuals with greater fitness. Stage- and male-skewed harvest most likely explains the steady population growth of axis deer despite increasing hunting pressure over a decade. Implications Adjusting the schedule of hunting sessions to time intervals of peak ungulate activity substantially increased the efficiency of management efforts in terms of removal rates and reproductive value of the culled specimens.

Targeted recreational hunting can reduce animal-vehicle collisions and generate substantial revenue for wildlife management agencies

Reduction of conflicts arising from human-wildlife interactions is necessary for coexistence. Collisions between animals and automobiles cost the world's economy billions of dollars, and wildlife management agencies often are responsible for reducing wildlife-vehicle collisions. But wildlife agencies have few proven options for reducing wildlife-vehicle collisions that are effective and financially feasible at large spatiotemporal scales germane to management. Recreational hunting by humans is a primary population management tool available for use with abundant wild ungulates that often collide with automobiles. Therefore, we tested how well policies designed to increase human hunting of deer (longer hunting seasons and increased harvest limits) reduced collisions between white-tailed deer and automobiles along 618 km of high-risk roadways in Indiana, USA. We used a 20-y dataset that compiled >300,000 deer-vehicle collisions. Targeted recreational hunting decreased deer-vehicle collisions by 21.12 % and saved society up to $653,756 (95 % CIs = $286,063–$1,154,118) in economic damages from 2018 to 2022. Potential savings was up to $1,265,694 (95 % CIs = $579,108–$2,402,813) during the same 5-y span if relaxed hunting regulations occurred along all high-risk roadways. Moreover, license sales from targeted hunting generated $206,268 in revenue for wildlife management. Targeted hunting is likely effective in other systems where ungulate-vehicle collisions are prevalent, as behavioral changes in response to human hunting has been documented in many ungulate species across several continents. Our methods are attractive for management agencies with limited funds, as relaxed hunting regulations are relatively inexpensive to implement and may generate substantial additional revenue.

‘Unmaking’ the Deer in Medieval Europe: Historical and Archaeological Evidence

Deer hunting was heavily ritualized in medieval Europe, as indicated by historical and archaeological evidence; it also emphasized social differentiation. The butchery of a deer carcass (‘unmaking’) was integral to the ritual and led to different body parts being destined for individuals of differing status. Archaeologically, the practice is particularly visible in high-status sites in Britain, but documentary and archaeological sources are consistent in pinpointing its earliest occurrence in twelfth-century France. In Italy, late medieval evidence for such ‘unmaking’ is present but is not supported by any known historical sources. Red and fallow deer were butchered in a formalized manner, whereas the data for roe deer are unclear. Although the Normans contributed to the diffusion of the ‘unmaking’ practice, in France it is also found outside the core area of Norman influence. The extensive spread of the practice demonstrates the connectedness of the medieval hunting culture in Europe.

Social and Seasonal Organisation of Red Deer Hunting from the Neolithic to the Late Iron Age (c. 2000 BC to AD 1000)

This is the first paper to examine social and seasonal organization of red deer hunting using stone-set hunting blinds in Norway. The paper examines seven hunting blinds discovered in Gjesdal, western Norway. Four of the hunting blinds are unique; it was possible to date them directly with radiocarbon dating. The sites exhibit multiple construction phases, with a usage period ranging from the Neolithic to the Mid Iron Age, and we would suggest likely extending into the Late Iron Age and Middle Ages. The datings and multiple phases make it possible to discuss temporal change in the construction of the hunting blinds, which is unprecedented in a Fennoscandian context. Hunting appears to align with social trends, becoming more prominent during periods of settlement decline and increased use of outfield resources for surplus production. While hunting in the lowlands of western Norway, particularly between 0 and 900 metres above sea level, appears to have been smaller in scale compared to mass-scale hunting in Norway’s high-altitude zones and eastern regions, the high population of red deer until about 500 years ago indicates profitable hunting opportunities during specific seasons. The cluster of hunting blinds suggests organized cooperation among neighbours and families, with surplus products potentially sold and exported to local and regional markets.

A novel DbneAlexnet with Gazelle Hunting Optimization Algorithm enabled wild animal detection in WMSN data communication in IoT environment

SummaryThe main goal of this strategy is to detect the occurrence of wild animals in farmsteads and human habitats using an improved deep learning in order to avoid loss of life and damage to agricultural crops. This paper formulates a technique for recognizing wild animals in an Internet of Things (IoT) environment utilizing deep batch normalized exponential linear unit AlexNet (DbneAlexnet) and the Gazelle Hunting Optimization Algorithm (GHOA). The IoT‐Multimedia Sensor Networks (WMSN) network is first simulated, with the IoT nodes capturing the images needed for wild animal identification. The suggested GHOA is used for routing, which sends the captured images to the base station (BS). The input wild animal image is transmitted to image preprocessing at the BS, where it is processed using the Weiner filter (WF) to remove undesirable noise from the image. The denoised output is sent into salient map extraction, which extracts salient map to determine the regions that are conspicuous or noticeable at every place in the field of vision and guides the selection of attended location. Finally, the saliency map is forwarded to DbneAlexnet for detecting the wild animals, where the DbneAlexnet is trained using proposed GHOA. The suggested GHOA algorithm is created by combining the Gazelle Optimization Algorithm (GOA) and the deer hunting optimization algorithm (DHOA). Furthermore, detection is appraised by precision, recall, and f1‐score, which provide values of 90.2%, 89.1%, and 89.6%, respectively.

Female Deer Movements Relative to Firearms Hunting in Northern Georgia, USA.

Perceived risk associated with hunters can cause white-tailed deer (Odocoileus virginianus) to shift their activity away from key foraging areas or alter normal movements, which are important considerations in managing hunting and its effects on a population. We studied the effects of seven firearms hunts on the movements of 20 female deer in two Wildlife Management Areas within the Chattahoochee National Forest of northern Georgia, USA, during the 2018-2019 and 2019-2020 hunting seasons. Deer populations and the number of hunters in our study area have declined significantly since the 1980s. In response, hunting regulations for the 2019-2020 hunting season eliminated opportunities for harvesting female deer. To evaluate the indirect effects of antlered deer hunting on non-target female deer, we calculated 90% utilization distributions (UDs), 50% UDs, and step lengths for pre-hunt, hunt, and post-hunt periods using the dynamic Brownian bridge movement model. Data included 30 min GPS locations for 44 deer-hunt combinations. Pre-hunt 50% UDs (x- = 7.0 ha, SE = 0.4 ha) were slightly greater than both hunt (x- = 6.0 ha, SE = 0.3 ha) and post-hunt (x- = 6.0 ha, SE = 0.2 ha) 50% UDs (F = 3.84, p = 0.03). We did not detect differences in step length, nor did we detect differences in size or composition of 90% UDs, among the periods. Overall, our results suggest that the low level of hunting pressure in our study area and lack of exposure to hunters led to no biologically significant changes in female deer movements. To the extent of the findings presented in this paper, adjustments to the management of hunting in our study area do not appear to be necessary to minimize hunting-related disturbances for female deer. However, managers should continue to consider female deer behavior when evaluating future changes to hunting regulations.

Planning for Deer-Hunting Management at the Local and Regional Scales: Reconciling Economic, Social and Ecological Functions

Game species with home ranges exceeding the area of the management units may entail conflicts over hunting rights and cause damage to crops and forest stands in surrounding areas. This is currently the case in the Mendro Mountain Range (Portugal), inhabited by free-ranging red (Cervus elaphus) and fallow deer (Dama dama) populations. This study’s primary goal was to uncover the processes underlying these tensions and identify solutions to overcome them, thus reconciling the economic, social, and ecological functions of hunting. We analyzed data from three different sources of information regarding the surveyed management units: biophysical and anthropical spatial data collected using a GIS; typology, whether fenced, area and game bag results, data provided by a public institute; crop and forest damage locations reported by game managers. Approximately half of the surveyed open management units reported damage. We found no relationship between damage and game bag results, regardless of the typology and habitat quality index. To address this disconnection between the negative and positive values associated with deer locally, we proposed habitat management solutions. It is of chief importance to keep valuable crops apart from deer’s refuge cover, such as bushy areas, to minimize damage in management units where deer hunting is a subsidiary activity. Conversely, in management units where deer hunting is of significant economic importance, the food and refuge cover should be closely interspersed to increase the management unit’s carrying capacity. To improve the efficacy of measures such as this at a regional scale, as in the Mendro Mountain Range, we recommend implementing a so-called Global Management Plan. In Portuguese law, this governance instrument applies to the entire biologic unit where the deer populations occur, thus implying arrangements between the involved stakeholders and multiple other concerned institutions.

ETHNIC COMPOSITION OF THE TAJIKS OF THE KASHKADARYA OASIS

In this article, the HarduriTajiks who are part of the ethnic persecution of the Tajiks in the Kashkadarya oasis or are related to it, bosses, chagatoys, the origin, features of location and place in ethnocultural processes of ethnic groups such as Arguns, deer hunters, Mojars and Balochs are highlighted.

Characteristics of the white-tailed deer hunting exploitation (Odocoileus virginianus) in Chihuahua, Mexico

Objective: To describe the characteristics of the number of hectares (located in the UMAs registered in the state of Chihuahua) used for the white-tailed deer free-range production, the level of exploitation of the species, and its economic value. Design/Methodology/Approach: This study determined the number of Units for the Conservation, Management, and Sustainable Use of Wildlife (UMAs) registered in the state of Chihuahua, where white tailed deer had been exploited since 2015. Forty-three municipalities in the state of Chihuahua, with a total of 159 UMAs, were analyzed. Twenty-three randomly selected UMAs were characterized, taking into account the hectares and the presence of white-tailed deer per municipality. Finally, the exploitation value of the species use per community was established in order to determine its exploitation and economic value. Results: The total area used for the exploitation of the white-tailed deer reaches 1,067,380 hectares. Thirty-two municipalities had potential for the exploitation of white-tailed deer. Thirty-three deer were hunted per season in the 23 UMAs under study, which accounts for a $990,000 Mexican pesos gross income for the state of Chihuahua per season; this exploitation generates a total of 115 temporary jobs for the communities surrounding the 23 UMAs studied. Chihuahua’s UMAs welcome a total of 33 white-tailed deer hunters per season. Hunters pay $30,000 to $34,000 Mexican pesos for each white-tailed deer specimen. Study Limitations/Implications: The study provides an overview of the current state of the UMAs in the state of Chihuahua that have a permit for the white-tailed deer hunting exploitation. Each of the UMAs under study has specific characteristics, including: the services offered, the associated hunting species, and the exploitation populations under an integrated sustainability arrangement. This study does not include the benefits of exploiting associated species, such as the collared peccary (Dicotyles tajacu) and the wild turkey (Meleagris gallopavo). Findings/Conclusions: Based on the number of registered UMAs, 32 out of 40 municipalities use 100% of their registered area for the exploitation of white-tailed deer. The white-tailed deer hunting exploitation increases the profitability and productivity of livestock ranches.

DoS attack detection using Aquila deer hunting optimization enabled deep belief network

PurposeDenial-of-service (DoS) attacks develop unauthorized entry to various network services and user information by building traffic that creates multiple requests simultaneously making the system unavailable to users. Protection of internet services requires effective DoS attack detection to keep an eye on traffic passing across protected networks, freeing the protected internet servers from surveillance threats and ensuring they can focus on offering high-quality services with the fewest response times possible.Design/methodology/approachThis paper aims to develop a hybrid optimization-based deep learning model to precisely detect DoS attacks.FindingsThe designed Aquila deer hunting optimization-enabled deep belief network technique achieved improved performance with an accuracy of 92.8%, a true positive rate of 92.8% and a true negative rate of 93.6.Originality/valueThe introduced detection approach effectively detects DoS attacks available on the internet.

Leveraging feature subset selection with deer hunting optimizer based deep learning for anomaly detection in secure cloud environment

Leveraging feature subset selection with deer hunting optimizer based deep learning for anomaly detection in secure cloud environment

Human Disease due to Mycobacterium bovis Linked to Free-Ranging Deer in Michigan.

A unique enzootic focus of Mycobacterium bovis in free-ranging deer was identified in northern lower Michigan in 1994, with subsequent evidence of transmission to local cattle herds. Between 2002 and 2017, 3 Michigan deer hunters with M. bovis disease were previously reported. We present 4 additional human cases linked to the zoonotic focus in deer, utilizing genomic epidemiology to confirm close molecular associations among human, deer and cattle M. bovis isolates. Identification of human tuberculosis (TB) cases with cultures of M. bovis was provided from the Michigan Department of Health and Human Services (MDHHS) tuberculosis database. Clinical review and interviews focused on risk factors for contact with wildlife and cattle. Whole genome sequences of human isolates were compared with a veterinary library of M. bovis strains to identify those linked to the enzootic focus. Three confirmed and 1 probable human case with M. bovis disease were identified between 2019 and 2022, including cutaneous disease, 2 severe pulmonary disease cases, and human-to-human transmission. The 3 human isolates had 0-3 single-nucleotide polymorphisms (SNPs) with M. bovis strains circulating in wild deer and domestic cattle in Michigan. Spillover of enzootic M. bovis from deer to humans and cattle continues to occur in Michigan. Future studies should examine the routes of transmission and degree of risk to humans through expanded epidemiological surveys. A One Health approach linking human, veterinary and environmental health should address screening for TB infection, public education, and mitigation of transmission.