Deer Hunting Research Articles

Deer Slayers: Examining the Scope of and Arguments for and against Legal Deer Theriocide in the US

Deer hunting has a long history in the US. It is supported by hunting cultures, described as necessary for protecting forest/plant biodiversity and ecosystems, but opposed by animal welfare and rights advocates as cruel. Using multiple literature sources, we examine the trade-off between protecting deer and ecosystems from harm in the context of contemporary America. We examine various approaches for exploring harms affecting nonhuman animal populations found in the green criminological, environmental sociology, wildlife conservation and management, and ecological literature. We argue that making sense of these opposing positions requires examining the extent of deer hunting to quantify those harms in some way. Here, we examine reported deer kills for US states for the period 1999–2020. These data indicate that nearly 7 million deer are taken annually in the US. We also examined some hypothesized correlates of deer harvesting across states. While these data tell us something about the number of deer killed, these data alone are insufficient. We argue no clear conclusion about the acceptability of deer hunting can be reached given the difficulty rectifying opposing moral/philosophical positions on deer hunting, opposing deer management objectives, and scientific evidence on the ecological impacts of deer populations in the US under contemporary conditions that include shrinking forest ecosystems and impaired ecosystem stability.

Changes in Illinois hunters' beliefs about chronic wasting disease management between 2012 and 2022

AbstractPrevious human dimensions articles related to changes in perceptions about chronic wasting disease (CWD) have focused on psychological variables (e.g., risk, trust). We expanded the scope of comparison and included 27 CWD management‐action variables. We obtained data from 2 mail surveys of resident deer hunters randomly sampled from the Illinois Department of Natural Resources' (IDNR) permit holders, administered first in 2012 (n = 5,663, response rate = 55%) and again in 2022 (n = 1,237, response rate = 43%). Hunters in 2022 were less aware of IDNR's management actions (e.g., increase the number of deer permits) than the 2012 hunters. Alternatively, the 2022 hunters were more supportive of actions the IDNR should pursue (e.g., use deer sharpshooting) than the 2012 hunters. Hunters in 2012 were more supportive of testing for CWD than the 2022 sample, although the differences were small. Conversely, the 2022 hunters were always more likely to believe that each IDNR action (e.g., use deer sharpshooting) was more effective than those during 2012. Statistical differences can be partially attributed to the large sample size as the average Cohen's d across all 27 items was only 0.159 (i.e., small). Overall, findings demonstrate the importance of tracking changes in beliefs over time, as such changes can influence an agency's management actions.

Intentions of Landowners towards Active Management of Ecosystem for Deer Habitat.

Active management such as prescribed fire and thinning can restore savanna and prairie ecosystem to maintain a full suite of ecosystem services and create suitable habitat for wildlife species such as white-tailed deer (Odocoileus virginianus). Active management comes with the cost of management and acceptance of management tools. The south-central transitional ecoregion of the USA, which otherwise was a mixture of forest, savanna, and tallgrass prairie, is increasing in woody plant dominance due to the exclusion of fire and other anthropogenic factors. Deer hunting is a vital source of revenue generation to offset the landowner's management cost in the region. We studied Oklahoma landowners' perceptions regarding active and sustainable management of forest and rangeland for deer habitat using two established theories of reasoned action and planned behavior as well as expanded theories adding moral norms. We analyzed mailed survey data using structural equation modeling. We found that subjective norms and perceived behavior control significantly affected deer hunting intention when moral norms were introduced into the model. Attitudes independently significantly affected intentions of deer hunting but have negative relations with the intentions. The study suggested that landowners have positive social pressure and were interested in active management but associated financial burden and risk could be shaping negative attitudes.

Mesopotamian fallow deer and the chase in later Neolithic Cyprus: insights from upper Mesopotamia, the Levant and badia

This article compares and contrasts the role of hunting in Cypriot and mainland faunal economies of the 8th to 6th millennia cal. BC. It is well known that during this period Cyprus was characterised by the persistence of low-intensity adaptations based primarily on hunting of Mesopotamian fallow deer. Although this period witnessed a revitalisation of hunting in some mainland economies, especially in or on the margins of the greater Syrian desert, what might superficially appear to be an adaptive convergence between island and mainland was nothing of the sort. Strong arguments can be made that post-domestication revitalisations of hunting on the mainland stem either from intensification generally and the commodification of prey in particular, or from risk-buffering attempts to mitigate against perceptions of scarcity. On Cyprus, however, the paradigmatic predation of Mesopotamian fallow deer that endured into the mid Holocene appears to have been a relict of Pleistocene-style ‘controlled predation’, facilitated by low occupation intensity at island - if not always site - level and the likely survival of unhunted game reservoirs between catchments.

Economic impact of roe deer tourist hunts in Vojvodina (Serbia)

Abstract Hunting tourism can have significant positive economic effects on the local community. The objective of the paper is to estimate the direct economic impact of roe deer hunting tourism, with a focus on regional level, by applying the Nordic Model. Analysis was based on data gathered in the autumn of 2021, from the interviews with hunting ground managers and hunting tourism outfitters, and a literature review. The length of stay of tourist hunters ranged from 2 to 6 days. According to the interviews and statistical data, one hunting tourist spent an average of 2,121 € per hunting day in Serbia. In 2019 the direct economic income of roe deer hunting tourism in Vojvodina was 623,574 €. The regional economic impact of hunting tourism in Vojvodina is significant given the small number of tourists from whom substantial income is generated. Developing of hunting activates on one or more game species could bring significant economic benefits to these kind of local communities. Resources raised through hunting tourism are later used in these regions through direct investment and as a tool for sustainable wildlife management, and thus, the ecological and economic sustainability of hunting tourism is crucial and must be considered in future development process.

Elevated lead exposure in Australian hunting dogs during a deer hunting season

There is growing recognition of the threat posed by toxic lead-based ammunition. One group of domestic animals known to be susceptible to harmful lead exposure via this route is hunting dogs. Scent-trailing dogs (‘hounds’) are used to hunt introduced sambar deer (Cervus unicolor) during a prescribed eight-month (April–November) annual hunting season, during which they are fed fresh venison, in Victoria, south-eastern Australia. We used this annual season as a natural experiment to undertake longitudinal sampling of dogs for lead exposure. Blood was collected from 27 dogs owned by four different deer hunters and comprising three different breeds just prior to the start of the hound hunting season (March 2022) and in the middle of the season (August 2022), and blood lead levels (BLLs) (μg/dL) were determined via inductively coupled plasma mass spectrometry (ICP-MS). Using Tobit regression, the expected BLLs across all dogs were significantly lower before the season (0.50 μg/dL, standard error [SE] = 0.32 μg/dL) than during the season (1.39 μg/dL, SE = 0.35 μg/dL) (p = 0.01). However, when the breed of dog was included in the analyses, this effect was only significant in beagles (P < 0.001), not bloodhounds (p = 0.73) or harriers (p = 0.43). For 32% of the dogs before the season, and 56% during the season, BLLs exceeded the established threshold concentration for developmental neurotoxicity in humans (1.2 μg/dL). Time since most recent venison feeding, sex of dog and owner were not associated with BLLs. The finding that BLLs more than doubled during the hunting season indicates that lead exposure is a risk in this context. These results expand the sphere of impact from environmental lead in Australia from wild animals and humans, to include some groups of domestic animals, a textbook example of a One Health issue.

Animal husbandry in Sicilian prehistory: The zooarchaeological perspective from Vallone Inferno (Scillato, Palermo)

Starting in the mid-6th millennium cal BCE, Neolithic groups occupied the midlands of Sicily. The economy of these groups was based primarily on livestock farming. Archaeological and archaeobotanical data indicate an intensification of livestock practices during the Early Bronze Age, leading to a change in the landscape in the form of more open forests.The Vallone Inferno rockshelter in the Madonie massif is one of the few sites that has been systematically excavated in these midlands, and has yielded evidence of Middle Neolithic and Early Bronze Age occupations. This work focuses on the study of prehistoric husbandry in the Sicilian midlands and highlands through the analysis of the Vallone Inferno faunal remains. Although the Middle Neolithic and Early Bronze Age faunal assemblages of Vallone Inferno are mixed, the paucity of information from other sites in this area makes their study worthwhile. The faunal remains were analysed by means of a zooarchaeological and taphonomic study.Prehistoric Sicilian shepherds adapted to the conditions and resources of the Madonie massif midlands and highlands through husbandry and hunting practices. Husbandry was based on raising sheep and goats for meat and milk and exploiting their derivatives. Cattle, pigs and hunted animals were also exploited for their meat. The hunting of deer, leporids and, most probably, wild boar for meat and skins complemented livestock farming.Although mortality profiles should be interpreted with caution, the rockshelter was probably occupied seasonally as a sheepfold during the breeding months and most likely served as an intermediate settlement between herd movements across the Madonie massif. These occupations coincide with a period in which the forests were opened up in the Madonie mountains, which is related to the practice of livestock farming.

Artificial intelligence enabled energy aware clustering technique for sustainable wireless communication systems

Green energy is one of the effective solutions for future sustainability and finds use in several application areas. Sustainable communication aims to decrease energy utilization of the system and increase resource utilization to a maximum extent. On sustainable wireless sensor network (WSN), the restricted battery capacities of the sensors necessitate energy efficient protocols to accomplish sustainable communication. Earlier works reported that clustering is one of the effective techniques employed to accomplish energy efficiency. Since clustering is treated as an NP hard optimization problem, meta-heuristic optimization algorithms are executed. In this aspect, this study designs an artificial intelligence enabled energy aware clustering scheme for sustainable wireless communication system, named AIEAWC-SWCS technique. The major intention of the AIEAWC-SWCS technique is for attaining sustainable energy management in WSN. To accomplish this, the AIEAWC-SWCS model derives a novel lens oppositional based learning (LOBL) with deer hunting optimization algorithm (DHOA) for optimum selection of cluster heads (CHs) and construct clusters. The proposed AIEAWC-SWCS model computes a suitability purpose with four variables namely energy competence, cluster density, inter-cluster coldness, and intra-cluster distance. The nodes with maximum fitness values have the ability to become CHs and perform sustainable communication. The AIEAWC-SWCS approach demonstrates a minimum MPLR of 2.67 percent with 200–100 base stations. It is guaranteed to be able to carry out WSN sustainable energy management. The experimental validation of the AIEAWC-SWCS model is tested in various features and the comparative analysis shows the potential of the AIEAWC-SWCS model in accomplishing sustainable communication.

Prediction of Alzheimer’s Disease Using DHO‐Based Pretrained CNN Model

Detecting Alzheimer’s disease (AD) early on allows patients to take preventative measures before the onset of irreversible brain damage, which is a critical factor in the treatment of Alzheimer’s patients. Most machine detection methods are constrained by congenital observations, although computers have been utilized in several recent research studies to diagnose AD. In AD, the hippocampus is usually the first part of the brain to be affected. Structural magnetic resonance imaging (SMRI) can be used to assist in diagnosing AD by measuring the hippocampus’s form and volume (MRI). The information encoded by these attributes is restricted and may be affected by segmentation problems. These traits are also extracted independently of the classification, which could result in lower‐than‐desired classification accuracy. Researchers in this study used structural MRI data to develop a deep learning framework for combined automatic hippocampus segmentation and AD categorization. Multi‐task deep learning (MTDL) is used to learn hippocampus segmentation simultaneously. The hyperparameter optimization of the CNN model (capsule network) for illness classification is then carried out using the deer hunting optimization (DHO) technique. ADNI‐standardized MRI datasets have been used to test the suggested method, and it is accurate. Suggested MTDL achieved 97.1% accuracy and 93.5% of Dice coefficient, whereas the proposed MTDL model achieved an accuracy of 96% for binary classification and 93% for multi‐class classification.

SRC: Superior Robustness of COVID-19 Detection from Noisy Cough Data Using GFCC

This research is focused on a highly effective and untapped feature called gammatone frequency cepstral coefficients (GFCC) for the detection of COVID-19 by using the nature-inspired meta-heuristic algorithm of deer hunting optimization and artificial neural network (DHO-ANN). The noisy crowdsourced cough datasets were collected from the public domain. This research work claimed that the GFCC yielded better results in terms of COVID-19 detection as compared to the widely used Mel-frequency cepstral coefficient in noisy crowdsourced speech corpora. The proposed algorithm's performance for detecting COVID-19 disease is rigorously validated using statistical measures, F1 score, confusion matrix, specificity, and sensitivity parameters. Besides, it is found that the proposed algorithm using GFCC performs well in terms of detecting the COVID-19 disease from the noisy crowdsourced cough dataset, COUGHVID. Moreover, the proposed algorithm and undertaken feature parameters have improved the detection of COVID-19 by 5% compared to the existing methods.

Мифологические представления и фольклор зимнего оленеводческого праздника Пэгыттын коряков-чавчувенов

The winter reindeer herders’ festival Pegyttyn of Koryaks-Chavchuvens currently is not held. Its authentic existence at the end of the 20th century was recorded on a videotape from the home archive of Nadezhda Kuznetsova (born in 1949 in the Olyutorsky area of the Koryak National District), one of the last carriers of the language and culture of the Chavchuvens of Kamchatka. Traditionally, the celebration was timed to coincide with the appearance of the star Altair from the constellation Pegyttyn and the winter solstice, which symbolize the turn to the revival of nature. In the 20th century among the Koryaks the moon became a reference point in determining the time of the celebration. The article presents mythological ideas about the Supreme Deity for whom deer sacrifices are performed. The author characterizes folklore texts of spells evyanvyn, pronounced before the slaughter in the rite at the family spear poigyn, as well as before the slaughter of a dog and the sacrifice inelvet. The thanksgiving hunting ritual Mynegynyn in the context of Pegyttyn, according to the author, is an evidence of the manifestation of the ancient cult of the constellation associated with the wild deer hunting

Success is dependent on effort: Unraveling characteristics of successful deer and elk hunters

AbstractThe pursuit of ungulates as game animals, whether for recreation, cultural tradition, or meat, is a dominant activity on public and private lands in North America and much of the world. Strategic regulation of hunting is key for managing game population abundance, age and sex structure, and distribution, with harvest rates a function of both hunter success and participation. Hunter satisfaction is often linked to success and ultimately with hunter recruitment and retention, a growing concern for wildlife agencies. Yet knowledge is lacking about what hunter characteristics or behaviors are linked with success, and how these may differ among common hunt types. We used survey and spatial data from hunters (n = 416) during a 6‐year observational study in northeastern Oregon, USA to characterize hunter traits associated with success for 3 hunt types for antlered males: rifle deer (Odocoileus spp.), archery elk (Cervus canadensis), and rifle elk. We modeled the success for rifle deer and rifle elk hunters using logistic regression models in a Bayesian hierarchical approach. Annual success rates were highly variable, ranging from 4 to 76% for rifle deer and 20 to 56% for rifle elk hunters, and from 0 to 14% for archery elk. Age distributions of hunters were similar across hunt types ( = 47.2 years), and male hunters were ~8 times as common as females (n = 370 vs. n = 46, respectively). Success rates for men and women, however, were comparable within hunt types. Successful hunters spent more hours per day outside camp ( = 7.4 vs. 6.4 for unsuccessful hunters) and expended a slightly larger percentage of their hunting effort on foot ( = 87.8%) than did unsuccessful hunters ( = 84.6%). The best model predicting success of rifle deer hunters was based on hours per day spent outside camp during the hunting hours, with each additional hour increasing odds of success by 26%. For rifle elk hunters, the best model included time outside camp and a binary covariate for scouting. The odds of success increased by 418% for hunters who scouted versus those who did not, and by 18% with each additional hour per day spent hunting outside of camp. Summed model weights indicated that hours per day outside camp and scouting were most informative, and that use of an all‐terrain vehicle, age, and experience were unrelated to hunter success. Both models performed reasonably well (correct classification rates of 0.74 and 0.70 for rifle deer and rifle elk models, respectively). Our study augmented the relatively limited published information about behavioral factors associated with successful harvest of deer and elk, and we recommend additional research to better unravel the nexus of success and hunter characteristics and behavior to help sustain recreational hunting and big game populations.

Impact of deer management cooperative implementation on white‐tailed deer harvest behaviors

AbstractSince the early 1980s, Quality Deer Management (QDM) has been used widely to manage populations of white‐tailed deer (Odocoileus virginianus) in the United States. Since 2000, QDM has been a catalyst behind a suite of deer management cooperatives (DMCs) forming across the United States. Although QDM has grown in popularity among North American deer hunters, large‐scale implementation of multi‐landowner DMCs relies on voluntary changes to implement structured hunter harvest behavior to achieve management goals. Therefore, a national review of how DMCs influence harvest behavior of hunters and if the DMC model works to accomplish deer management goals is warranted. We assessed if DMCs change the harvest behavior of their members, and if factors such as state, motivations, and length of membership influence change in hunter behavior. Results from our survey of 459 DMC members across 5 U.S. states found that DMC members' harvest behavior changed after joining their DMC. Deer management cooperative members reported they were more likely to harvest does, less likely to harvest yearling males, and more likely to pass on the harvest of a 3.5 year old (or younger) males after joining the DMC. When analyzed at the state level, Texas and Georgia saw the largest gains in perceived hunt quality (2.5 point gain on 1–7 scale) and QDM implementation. Motivations for joining the DMC had little impact, but length of membership influenced hunt behavior with more tenured members (&gt;5 years of membership) being more likely to follow QDM practices. Our results suggest that DMCs serve stakeholders by increasing perceived hunt quality, assisting agency personnel with non‐regulatory avenues to address management goals, and developing a community engaged with local wildlife management. Deer management cooperatives occupy the critical nexus of agency needs and private landowner deer management objectives, often at scales larger than a single private landowner, that are necessary for effectively managing wild deer populations. Although DMCs may not be widely implemented, they may address a myriad of management objectives that public and private stakeholders desire.

Web page prediction using adaptive deer hunting with chicken swarm optimization based neural network model

The world wide web acts as the dominant tool for data transmission due to access such as data retrieving and data transactions. The retrieval of data from the web is a complex procedure due to the large volume of web domain. The basic uses of the websites are described through web usage mining, which mines the weblog records to identify the pattern of accessing the web pages through the user. The web page prediction assists the web users in finding the plot and obtains the information as to their requirements. Several effective algorithms have been developed to mine association rules that make the predictive model more appropriate for web prediction. They can be commonly revised to ensure the changing feature of web access patterns. The Apriori algorithm involves extracting the recurrent itemset and interrelation rule that learns the relational data is commonly utilized for web page prediction. The Apriori algorithm remains the standard model for deriving the patterns and rules from the datasets in co-operative rule extraction. The Apriori algorithm thus generates large mines associated rules for web page prediction. Hence, to select the best rule, the proposed deer hunting rooster-based chicken swarm optimization algorithm is used by integrating the cockerel search agents’ dominating social search creatures’ hunting habits and their traits of looking for food. Further, the neural network (NN) is employed in this research for the prediction of web pages with minimum error. The trained NN is a technique of unsupervised learning that analyzes a dataset of input to produce the desired result, in which the effectiveness of the NN is enhanced by optimal tuning of weight by the adaptive deer hunting rooster-based chicken swarm optimization algorithm. The experimental analysis illustrates that the proposed adaptive deer hunting rooster-based chicken swarm optimization frameworks inherit lower error measures such as mean deviation = 139.89 and symmetric mean absolute percentage error[Formula: see text]0.45579 for the FIFA dataset. The proposed web page prediction models’ L2 norm and infinity norm are 58.017 and 14, respectively, for the MSNBC_SPMF dataset.

Adult white‐tailed deer survival in hunted populations on public and private lands

AbstractEstimates of sex‐ and age‐specific survival are important for guiding population management decisions for white‐tailed deer (Odocoileus virginianus). However, differences in deer survival between public and private lands can exist and, if unaccounted for, may affect wildlife agencies' ability to effectively manage statewide and local deer populations. From 2014 to 2016, we radiocollared and monitored survival of 79 adult white‐tailed deer (141 deer‐years; 62 male, 79 female) on 2 public and 2 private properties in Alabama, USA. We assessed the effects of sex, age, and landownership type (i.e., public or private) on adult white‐tailed deer harvest and survival patterns using an information‐theoretic approach. Hunter harvest accounted for 77% of observed mortalities (n = 23/30), but harvest and survival rates varied by sex and age. Harvest and survival were similar between public and private property despite more restrictive hunting regulations for antlered deer on public areas. Similar harvest rates were likely due to self‐imposed, quality deer management (QDM) harvest strategies on private land that emulated the effects of a state‐mandated antler point restriction (APR) on public land. Our findings indicate survival rates of adult white‐tailed deer may be applicable across landownership types where state‐mandated harvest regulations with respect to males are more restrictive on public than private property, due to the popularity of QDM by private‐land deer hunters. However, where regulations are similar across landownership types (e.g., no state‐mandated APR), differences in harvest and survival rates may exist.

Herd management and subsistence practices as inferred from isotopic analysis of animals and plants at Bronze Age Politiko-Troullia, Cyprus.

The Bronze Age village of Politiko-Troullia, located in the foothills of the copper-bearing Troodos mountains of central Cyprus, was occupied ~2050–1850 cal BCE. Excavated evidence shows that community activities included copper metallurgy (ore processing, smelting and casting), crop cultivation, and rearing of livestock. Faunal analysis reveals day-to-day subsistence practices that included consumption of sheep, goat, cattle, and pig, as well as community-scale ritual feasting focused on fallow deer, Dama dama mesopotamica. In this paper, we present bone collagen stable isotope data from these taxa to infer how these animals were managed. We incorporate stable isotope baselines calculated from modern cereal grains and compare these to archaeological seeds from Politiko-Troullia. Mean values of δ13C and δ15N cluster for livestock consistent with a diet of C3 plants, with a wider range in goats that suggests free-browsing herds. Higher δ15N values in cattle may reflect supplemental feeding or grazing in manured fields. Plant isotope values suggest livestock diets were predominantly composed of cultivated taxa. In contrast, deer and pig bones produce more negative mean δ13C and δ15N values suggesting that the villagers of Politiko-Troullia complemented their management of domesticated animals with hunting of wild deer and feral pigs in the woodlands surrounding their village.

Investigations at Goodson Shelter, Oklahoma

Goodson Shelter is a small sandstone rockshelter site located in Craig County, Oklahoma, situated alongside a minor tributary stream. Excavations at Goodson Shelter yielded over 2 m of largely intact deposits, which, based on radiocarbon and optically stimulated luminescence dating, along with a substantial record of temporally diagnostic projectile points, indicate the site was periodically occupied from the Archaic through the Woodland period. An extensive record of faunal remains suggests that over the course of the site’s occupations it was used primarily as a deer hunting and field processing locale. That this site was repeatedly used for such a specialized activity is likely due to the topography in the vicinity the shelter, which made it an opportune spot for intercept hunting, and thus one that played a long-term role in settlement and subsistence strategies.

Falls from Tree Stands Have Become the Leading Cause of Deer Hunting Accidents in Pennsylvania.

This study aimed to describe, using a statewide trauma registry, the incidence, trends, and injuries for tree stand falls while deer hunting in Pennsylvania. Falls from tree stands were abstracted from the Pennsylvania Trauma Systems Foundation registry (1990-2017) and combined with the number of licensed deer hunters, deer hunting days, and deer hunting-related shooting incidents (HRSIs) provided by the Pennsylvania Game Commission to calculate tree stand fall and HRSI rates (per 1 million deer hunting days) and age-group specific fall rates (per 100,000 licensed deer hunters). Poisson regression was used to assess the significance of the annual and age group rate trends (significance P < 0.05). Case fatality rate (percentage of number of deaths per number of injured hunters) also was calculated. There were 1229 victims of tree stand falls and 560 victims of HRSIs between 1990 and 2017. Fall rates increased from 1.5 to 10.4 (P < 0.0001), and HRSI rates decreased from 4.9 to 1.2 (P = 0.001). Fall rates surpassed HRSI rates in 1999 and increased with advancing age (P = 0.007), peaking at 7.2 for hunters aged 50 to 59 years. Most (77%) injured hunters sustained multiple injuries. The case fatality rate was only 0.8%, but 26% of the injured hunters had a dependent functional limitation at hospital discharge. Tree stand falls are now the leading cause of Pennsylvania deer hunting accidents. Fall victims usually sustain multiple nonfatal but often disabling injuries. Study findings support the need for surveillance of these accidents and additional tree stand safety education.

UNDERSTANDING THE NEED FOR A BROAD DIFFERENTIAL DIAGNOSIS: A CASE OF PNEUMONIC TULAREMIA

UNDERSTANDING THE NEED FOR A BROAD DIFFERENTIAL DIAGNOSIS: A CASE OF PNEUMONIC TULAREMIA

Deer Hunting Tradition of the Kuligang Community to Identify the Types of Sports Branches (Ethnographic Study)

The tradition of hunting deer is an inseparable part of human life in ancient times and until now the tradition of hunting in the Kuligang community is still preserved. The purpose of this study was to identify the types of sports, especially athletics. The method in this study is a qualitative method with a phenomenological approach. The population in this study amounted to 10 Kuligang tribal chiefs, and then all of these populations were used as subjects in this study. All subjects were male with 4 people aged 54.56 and 63 years, then 3 people aged 37, 28, and 41 years, 1 person aged 79 years old, 1 person aged 80 years old and 1 person aged 68 years old. The occupations of all subjects are farmers and fishermen. The data collection in this study was observation and in-depth interviews. This study uses two sources of data, namely: 1). Sources of direct data that researchers get from the subject/ resource person, 2). Indirect data sources that researchers found from books and articles that are relevant to this research. Data analysis in this study includes data reduction, data presentation, and data conclusion drawing. The results of this study prove that there are four sports identified, namely javelin throwing, archery, running and walking, so it can be concluded that the hunting tradition of the Kuligang community has sports activities.