Deer Population Density Research Articles

Impact of anthropogenic disturbance on the density and activity pattern of deer evaluated with respect to spatial scale-dependency

This study examined the influence of anthropogenic disturbance (agriculture, forestry, hunting and feral domestic dogs) on the population density and daily activity pattern of deer. We quantified the effects of land use (broad-leaved forest, mixed coniferous/broad-leaved forest, natural grassland, subalpine vegetation, forestry area, and agricultural land), along with hunting pressure, and densities of feral domestic dogs and wild macaques on deer. The effects of land use were analyzed at various spatial scales and a model selection procedure (generalized mixed model) was used to examine the effects of factors on density and daily activity pattern of deer at each spatial scale. The combinations of influential factors differed between density and daily activity pattern and changed with spatial scale. The spatial scale with the smallest Akaike's Information Criterion value was defined as the effective spatial scale for each of density and daily activity pattern. Deer density was affected positively by the percentage of area covered by broad-leaved forest, natural grassland and macaque density, and negatively by percentage of area covered by agricultural land and mixed forest at the effective spatial scales. For the daily activity pattern of deer, agricultural land, forestry area, natural grassland, subalpine vegetation and dog density reduced diurnal and increased nocturnal activity. Crepuscular activity increased with hunting pressure and subalpine vegetation, and decreased with agricultural land. Thus, daily activity pattern was sensitive to more types of anthropogenic disturbance than density. Detecting the appropriate spatial scales at which significant anthropogenic disturbance should be managed is essential for effective wildlife conservation.

Musk Deer (Moschus moschiferus) Population Density Based on Pellet Group Count Method in Sikhote-Alin

As a component of a complex program studying musk deer ecology in the Sikhote-Alin Biosphere Reserve, a survey of the musk deer population density, based on pellet group count method, was carried out at stationary posts from 2012 to 2014. The use of this method in the snowless season provides a means of surveying the most hard-to-reach areas of the musk deer habitat.

Evaluating the Effectiveness of Two Distance-Sampling Techniques for Monitoring Roe Deer (Capreolus capreolus) Densities

Monitoring wild cervid populations have become a priority for management. However, accurate and reliable estimates of densities are difficult to achieve since they may be affected by environmental variation, species behaviour or observational issues. Therefore, to obtain unbiased estimates of densities it is necessary to adopt sampling methods that quantify the probability to detect the target species. In this study, we compare the results of roe deer sampling based on distance detection performed by two techniques: surveys on foot in the evening and nocturnal surveys by car. Estimates of roe deer population densities were conducted in Sierra de Guadarrama (Madrid, Spain). Distance sampling was conducted along tracks in 10 pine forests in October. Observations from the surveys done on foot were better fitted with detection functions, although this technique required more days and more observers for its realization, hence increasing field effort. Nocturnal surveys by car were also a proper technique and decreased distance sampling costs, since only three people were needed for 6 days to carry them out. However, observations obtained with this technique showed an imbalance in the detection function in the first few metres. This model was limited by the small number of roe deer observed in or near the line of progression. This is a handicap because functions used by the Distance software assume that the highest probability of detecting specimens is in the line of progression, causing an imbalance in the detection function at zero distance. To compensate for this, data were lefttruncated at 20 m. Therefore, when it is necessary to estimate absolute densities of roe deer populations, nocturnal distance sampling by car seems to be the most appropriate method due to its low cost, yet the influence of the vehicle on the distribution of roe deer and, therefore, on the estimated density, must be taken into account when carrying out such studies.

Classification of Vegetation Types in the Habitat of White-Tailed Deer in a Location of the Tehuacán-Cuicatlán Biosphere Reserve, Mexico

This paper classifies the vegetation types that comprise the habitat of the white-tailed deer Odocoileus virginianus at a location within the Tehuacan-Cuicatlan Biosphere Reserve (TCBR) in Mexico. The vegetation was sampled, identified, and mapped at 308 points distributed along 28 transects (each of 500 m in length). To determine the effect of the classified and mapped vegetation types on the white-tailed deer, we estimated population density using the PELLET procedure based on the pellet-group count method. The principal vegetation types at the study site are tropical dry forest (TDF, 63% of the area) dominated by tetecho ( Neobuxbaumia tetezo), uña de gato ( Mimosa spp.) and mulato ( Bursera spp.), and crassicaule scrub dominated by mantecoso ( Parkinsonia praecox). The TDF can be sub-classified into four spatially different clusters (vegetation types) depending on the dominance of these species. The white-tailed deer population density varied significantly depending on vegetation type. Our results contribute to the ecological knowledge of the white-tailed deer in tropical habitats and are of value for the implementation of effective conservation and management.

Influence of white-tailed deer population density on vegetation standing crop in a semiarid environment

Diet selection theory predicts that selective foraging by white-tailed deer (Odocoileus virginianus) may reduce palatable and nutritious plants when high-quality food resources are available or deer densities are high. Our objectives were to determine if providing a high-quality food resource ad libitum and increasing deer densities 1) reduced standing crop and nutritional quality of forbs and 2) altered standing crop and nutritional quality of grasses and shrubs. We used 6 81-ha controlled-density enclosures on each of 2 study sites in southern Texas with deer densities considered low (12 deer/km2), medium (31 deer/km2), and high (50 deer/km2) relative to the range of population estimates for white-tailed deer in the Rio Grande Plains of Texas. For each pair of enclosures with the same deer density at each study site, we provided white-tailed deer in 1 enclosure high-quality pelletized feed ad libitum and did not provide feed (control) in the other enclosure. During spring and summer 2004–2012, we estimated standing crop of forage in 40 0.25-m2 × 1.5-m volumetric plots/enclosure and we harvested 20 randomly selected plots/enclosure, which we dried to convert wet mass estimates to dry mass. Availability of high-quality pelletized food and deer density did not affect (P ≥ 0.392) forb standing crop during spring and summer. Forb, browse, and grass standing crop and nutritional quality varied (P < 0.001) with precipitation among years. Enclosures with low deer densities had lower forb crude protein than those with higher densities (P < 0.034) during summer in drought years (2006, 2009, and 2011). Enclosures with high-quality pelletized food tended to have lower browse crude protein than controls (sampling date × feeding treatment interaction, P = 0.051) in spring during 2006 and 2007. Variable and limited rainfall had a more pronounced effect on variation in vegetation standing crop than white-tailed deer foraging regardless of food resource availability or deer density. Vegetation responses were more complex than can be predicted by traditional theory on diet selection in part because of the pronounced effect of variation in rainfall on vegetation standing crop. © 2015 The Wildlife Society.

Modeling Wood Encroachment in Abandoned Grasslands in the Eifel National Park - Model Description and Testing.

The degradation of natural and semi-natural landscapes has become a matter of global concern. In Germany, semi-natural grasslands belong to the most species-rich habitat types but have suffered heavily from changes in land use. After abandonment, the course of succession at a specific site is often difficult to predict because many processes interact. In order to support decision making when managing semi-natural grasslands in the Eifel National Park, we built the WoodS-Model (Woodland Succession Model). A multimodeling approach was used to integrate vegetation dynamics in both the herbaceous and shrub/tree layer. The cover of grasses and herbs was simulated in a compartment model, whereas bushes and trees were modelled in an individual-based manner. Both models worked and interacted in a spatially explicit, raster-based landscape. We present here the model description, parameterization and testing. We show highly detailed projections of the succession of a semi-natural grassland including the influence of initial vegetation composition, neighborhood interactions and ungulate browsing. We carefully weighted the single processes against each other and their relevance for landscape development under different scenarios, while explicitly considering specific site conditions. Model evaluation revealed that the model is able to emulate successional patterns as observed in the field as well as plausible results for different population densities of red deer. Important neighborhood interactions such as seed dispersal, the protection of seedlings from browsing ungulates by thorny bushes, and the inhibition of wood encroachment by the herbaceous layer, have been successfully reproduced. Therefore, not only a detailed model but also detailed initialization turned out to be important for spatially explicit projections of a given site. The advantage of the WoodS-Model is that it integrates these many mutually interacting processes of succession.

Capture—recapture of white‐tailed deer using DNA from fecal pellet groups

Traditional methods for estimating white‐tailed deer population size and density are affected by behavioral biases, poor detection in densely forested areas, and invalid techniques for estimating effective trapping area. We evaluated a noninvasive method of capture—recapture for white‐tailed deerOdocoileus virginianusdensity estimation using DNA extracted from fecal pellets as an individual marker and for gender determination, coupled with a spatial detection function to estimate density (spatially explicit capture—recapture, SECR). We collected pellet groups from 11 to 22 January 2010 at randomly selected sites within a 1‐km2area located on Arnold Air Force Base in Coffee and Franklin counties, Tennessee. We searched 703 10‐m radius plots and collected 352 pellet‐group samples from 197 plots over five two‐day sampling intervals. Using only the freshest pellets we recorded 140 captures of 33 different animals (15M:18F). Male and female densities were 1.9 (SE = 0.8) and 3.8 (SE = 1.3) deer km‐2, or a total density of 5.8 deer km‐2(14.9 deer mile‐2). Population size was 20.8 (SE = 7.6) over a 360‐ha area, and sex ratio was 1.0 M: 2.0 F (SE = 0.71). We found DNA sampling from pellet groups improved deer abundance, density and sex ratio estimates in contiguous landscapes which could be used to track responses to harvest or other management actions.

Range expansion of Ixodes ricinus to higher altitude, and co-infestation of small rodents with Dermacentor marginatus in the Northern Apennines, Italy

Immature ticks (Ixodes ricinus and Dermacentor marginatus) were collected from small rodents (Apodemus spp. and Myodes glareolus), in the Northern Apennines, Italy, at an altitude up to 1650m above sea level (a.s.l.), from 2009 through 2012. While D. marginatus had been found at the same location in studies carried out in 1994, I. ricinus was very rare or absent. Prevalence (95% confidence interval) of infestation by I. ricinus larvae on Apodemus spp. was 54.4% (47.5, 61.2), and it was greater than prevalence of D. marginatus larvae on the same hosts (23.3%, 17.8, 29.5). The mean (standard deviation) numbers of I. ricinus and D. marginatus larvae per individual Apodemus spp. were similar: 2.3 (4.1) and 2.1 (9.8), respectively. The monthly infestation pattern of the two tick species on Apodemus spp. were different. I. ricinus larvae were more frequent in June and September, than in July–August. I. ricinus nymphs were generally rare, and were most frequently found in July. The prevalence of D. marginatus larvae peaked in July–August, whereas nymphs were mostly active in August–September. Increasing population densities of roe deer (Capreolus capreolus), and increasing temperatures, in the last decades, in the Apennine area might have contributed to the observed range expansion of I. ricinus.

Home range size and spatio-temporal dynamics of male sika deer (Cervus nippon; Cervidae, Artiodactyla) in an introduced population

The sika deer (Cervus nippon) is native to Japan and East Asia and has been introduced almost worldwide. Despite the wide distribution of the species, only few studies on its home range in non-native areas have been conducted. We focused on home range size and its seasonal and spatial dynamics in an introduced sika deer population in the Doupovské hory Mts., north-western Czech Republic. The mean home range size, obtained from ten subadult and adult males, was 3620 ha using the minimum convex polygon method, 1163 ha using the Brownian bridges method, and 819 ha using kernel estimation. The mean intra-individual home range overlap from month to month was about 72 %, but decreased to 28 % when calculated for three-month periods. The unusually large home range sizes observed can be explained by a relatively low population density of the sika deer in the study area and possibly by the non-territorial mating strategy of males. The high values of seasonal home range overlap together with the time series of the monthly home range maps indicate some positional shifts but do not support presence of seasonal migration.

Densidad poblacional y caracterización de hábitat del venado cola blanca en un bosque templado de Oaxaca, México.

Se evaluó la densidad poblacional y se caracterizó el hábitat del venado cola blanca Odocoileus virginianus en un bosque templado de Santa María Yavesía, Sierra Norte de Oaxaca. Se realizaron dos muestreos temporales en 13 sitios pertenecientes a cinco asociaciones vegetales con el método de conteos de grupos fecales. Se calculó la densidad poblacional con el modelo de Eberhardt &amp; Van Etten (1956) usando dos tasas de defecación. Se registró la presencia de venados sólo en el bosque de coníferas y el bosque de pino-encino cerrado. Las densidades promedio encontradas entre marzo a julio de 2008 fueron de 1.30 ± 3.04 individuos/km2 y de 0.49 ± 1.14 individuos/km2. Se midieron 13 variables del hábitat del venado cola blanca (vegetación y atributos físicos). Los sitios en el bosque de coníferas están a mayor altitud, son más fríos y húmedos, tienen más árboles grandes y un estrato arbustivo abierto. Las densidades poblacionales encontradas en el presente estudio fueron bajas, comparadas con las encontradas en otros estudios realizados con el método de conteo de grupos fecales en el país. Se proponen recomendaciones de manejo para los venados cola blanca de Santa María Yavesía.

Comparative Morphology of Prickles of Rubus croceacanthus (Rosaceae) in Kashima Island and Its Neighbouring Areas

Kashima Island (32° 57? N, 132° 27? E) is a small island of southern Japan with high population density of sika deer (Cervus nippon). To ascertain whether heavy sika deer browsing has resulted in increased plant defences on the island, we conducted a morphological comparison of Rubus croceacanthus H. Lev. (Rosaceae) on Kashima Island and in the neighbouring areas on the mainland. We measured the length and density of the leaf and stem prickles. We found that the prickles of R. croceacanthus on Kashima Island were significantly longer and at a higher density than those in the neighbouring areas, suggesting that increased prickle length and density is an adaptive defence against sika deer browsing.

Isolation of Mycobacterium caprae (Lechtal Genotype) from Red Deer (Cervus elaphus) in Italy

During tuberculosis (TB) surveillance, 53 hunted red deer (Cervus elaphus) were collected to determine whether TB was present in free-ranging animals from an Italian alpine area. Samples (lungs, liver, intestine, and lymph nodes) were cultured and analyzed by real-time PCR assay carried out directly on tissue. Mycobacterium caprae was isolated from small granulomatous, tuberculosis-like lesions in the liver of a 12-yr-old female. Identification of suspect colonies was done by PCR restriction fragment length polymorphism analysis of the gyrb gene, and genotyping was performed by spoligotyping and mycobacterial interspersed repetitive unit variable number tandem repeat analysis. The isolated strain was genetically identical to strains isolated in the study area in 2001 from dairy cows imported from Austria and in 2010 from an indigenous cow. The genotype, called "Lechtal," is the most frequently detected in the TB outbreaks in Austria and Germany. The possibility that red deer act as a maintenance host of M. caprae between TB outbreaks could be not excluded. Despite the high red deer population density, the detection of only one infected red deer could suggest that the wildlife management measures applied in the study area (prohibition of artificial feeding and secure removal of offal from hunted animals) may reduce the risk of TB spreading.

Monitoring population density and activity pattern of white-tailed deer (Odocoileus virginianus) in Central Mexico, using camera trapping

AbstractWhite-tailed deer (

SINGLE-TREATMENT PORCINE ZONA PELLUCIDA IMMUNOCONTRACEPTION ASSOCIATED WITH REDUCTION OF A POPULATION OF WHITE-TAILED DEER (ODOCOILEUS VIRGINIANUS)

Previous reports have demonstrated gradual reductions of white-tailed deer (Odocoileus virginianus) populations through immunocontraception, with stabilization occurring after 2-4 yr of treatment, and subsequent reductions of 6-10% annually. These studies employed porcine zona pellucida (PZP) vaccines that required two initial treatments and annual retreatments. From 2005 to 2010, 258 adult and yearling female deer on Fripp Island, South Carolina, were treated with one of several PZP preparations designed to produce 2+ yr of effective contraception with a single treatment. These included several preparations of SpayVac and of native PZP-adjuvant emulsion plus PZP and QA-21 in timed-release pellets. Deer were chemically immobilized, ear-tagged, and administered initial treatments by hand in February-March. Some treated deer were boosted remotely with PZP-adjuvant emulsion 1.5 - 4.5 yr after initial treatments. Ground-based distance sampling was used to estimate deer population density at Fripp Island, a resort community, and at a relatively undeveloped neighboring control site, Hunting Island. Most vaccine preparations tested reduced fawning rates by 75% to 95% for at least 1 yr. From 2005 to 2011, deer density on Fripp Island declined by 50%, from 72 deer/km(2) to 36 deer/km(2), an average annual reduction of 11%. In contrast, population density on the Hunting Island control site fluctuated between 2005 and 2011, averaging 23 deer/km(2) (range, 19-28 deer/km(2)). Population declines on Fripp Island were associated with an increase in the proportion of treated females and with a progressive decrease in winter fawn:doe ratios, from 1.21 fawns/doe in 2005 to 0.19 fawns/doe in 2010. Winter fawn:doe ratios averaged 1.36 fawns/doe (range, 0.84 - 1.62 fawns/doe) at the Hunting Island control site. Annual survivorship averaged approximately 79% among ear-tagged females. The rate at which deer populations diminished in association with PZP treatments on Fripp Island was higher than that seen at other study sites, although the reasons for the more rapid decline on Fripp Island are not well understood.

Among-year variation in deer population density index estimated from road count surveys

A method for obtaining a relative deer population density index with low cost and effort is urgently needed in wildlife protection areas that need their own deer management guidelines. We recorded the number of deer sighted during our daily trips on forest roads by car in Ashiu Forest at Kyoto University, Japan, beginning in 2006. We used generalized additive mixed models (GAMMs) to estimate among-year trends in the number of deer sighted. We applied models for the total number of deer (TND), number of adults (NA), and number of fawns (NF) sighted, which included both current-year and 1-year-old fawns. Full models included the terms of year (2007, 2008, 2009, and 2010), weather (fine, cloudy, and rain/snow), and nonlinear effects of season (date) and time (time). The optimal GAMMs for TND, NA, and NF did not include the effect of weather but included those of time, date, and year. The detected among-year trends in deer population may be influenced by differences in snow environments among the years. The modeling of road count data using GAMM quantitatively determined among-year variation in the number of deer sighted. This trend was similar to that of the population density estimated using a block count survey conducted in Ashiu Forest.

Aggressive behavior of white‐tailed deer at concentrated food sites as affected by population density

ABSTRACTConcentrated food sources are used frequently in white‐tailed deer (Odocoileus virginianus) management and research, but because such food sources are easily defended, aggressive interactions among deer may influence their effectiveness. The objectives of this study were to determine if deer population density or season affect 1) the order or degree of social dominance among different age and sex groups of white‐tailed deer, 2) the rate at which aggressive interactions occur, 3) the severity of interactions, and 4) the extent to which subordinate groups avoid dominant groups. We conducted our study in South Texas using 2 sets of 3, 81‐ha enclosures managed at varying deer population densities. We captured aggressive interactions using digital trail‐cameras placed at sites with spatially concentrated food. We found that bucks ≥2 years of age were dominant over all other age and sex groups in ≥87% of their interactions regardless of deer density or season. The odds of a buck dominating over a doe increased by 10% (95% CI = 0–21%) for each additional deer/km2 during summer, but density had little effect in any other season. Yearling bucks were dominant in 81% (95% CI = 51–100%) of their interactions with does during spring, whereas during other seasons we found no clear order to the dominance hierarchy. Social dominance between yearling bucks and does was not affected by population density. The rate of aggressive interactions increased by 2% (95% CI = 1–3%) for each additional deer/km2 and did not differ by season. Ten percent (95% CI = 6–14%) of interactions involved more violent behaviors that we characterized as severe; this percentage did not change with population density or season. At all population densities, during all seasons, does avoided bucks at sites with concentrated food; however, the degree of avoidance declined with increasing deer density in all seasons except spring. Our results indicate that as population density increases, so do social pressures that may limit access of subordinate age and sex groups to concentrated food sites. Therefore, concentrated food sites are not equally accessible to all age and sex groups of deer and the effectiveness of such sites in deer management and research may become increasingly limited as population density increases. © 2013 The Wildlife Society.

Effects of Deer Density and Land Use on Mass of White-Tailed Deer

Abstract Local and regional land use changes, such as the expansion of cropland for cellulosic biofuels, and the population density of white-tailed deer can affect the health and body mass of white-tailed deer Odocoileus virginianus. We collected hunter-harvest data for 1,731 white-tailed deer from DeSoto National Wildlife Refuge in eastern Nebraska and western Iowa from 2003 to 2010. We used linear mixed-effects models and information theoretic methods to estimate effects of density of white-tailed deer and proportion of total landcover area converted from cropland to cool- or warm-season grassland on body mass of white-tailed deer. Density of white-tailed deer at DeSoto National Wildlife Refuge ranged from 36.5 to 50.6 deer/km2, and the proportion of landcover at DeSoto National Wildlife Refuge that remained cropland each year ranged from 14.9 to 23.2%. Body mass was inversely related to population density (−1.4 kg/5.5 deer/km2) and proportion of cropland (−1.3 kg/3.1% conversion of total land area from cropland to grassland). We used auxiliary harvest data collected at Boyer Chute National Wildlife Refuge to validate our models and found our models performed well. We estimate densities of white-tailed deer must be reduced by 1.7 (SE = 0.6) deer/km2 for every 1% change in total landcover from cropland to grassland in order for white-tailed deer to maintain body mass. Our results indicate increased harvest of white-tailed deer, resulting in a reduction in population density, may offset negative effects that a decline in the amount of available cropland could have on the body mass and health of white-tailed deer.

Degradation of Abies veitchii wave-regeneration on Mt. Misen in Ohmine Mountains: effects of sika deer population

How has the degradation of Abies veitchii wave-regeneration occurred under the sika deer (Cervus nippon) pressure? We conducted tree census and ground vegetation survey in a 1ha plot in Mt. Misen (Nara prefecture, Japan). We found 15 tree species (over 50cm in height). Abies accounted for 60.0% of all living trees, and 46.9% of Abies were damaged (herbivory, bark stripping and/or fraying) by deer. Spatial distribution of Abies trees showed Abies-wave, although there were few saplings in the dieback zone. Estimated deer population density in 2009 was 57.3head/km(2). Number of living Abies and standing dead conifer trees, and ground vegetation cover for each quadrat (5×5m) were used to assign the quadrats into 6 clusters. The hierarchical clustering-approach revealed that living Abies distributed mainly on the moss and/or Carex fernaldiana dominated quadrats, but did not on the Dennstaedtia scabra, or Brachypodium sylvaticum dominated quadrats. While standing dead conifer trees distributed mainly on the Carex dominated quadrats, they hardly occur on the moss, the Dennstaedtia or the Brachypodium dominated quadrats. Regeneration of Abies tree and thus the wave-regeneration is hindered for now owing to deer herbivory and bark-stripping. The ground vegetation under the dieback zone has changed from the moss and/or the Carex dominated one to the Carex, the Dennstaedtia or the Brachypodium covered vegetation with the canopy remained open and without Abies regeneration.

Geospatial analysis of giant liver flukes among moose: effects of white-tailed deer

Natural infections of giant liver flukes (Fascioloides magna) occur primarily in cervids and bovids. In northeastern North America, a common definitive host for giant liver flukes is the white-tailed deer (Odocoileus virginianus). Giant liver flukes cannot reproduce in moose (Alces alces) and eventually die, but only after causing extensive tissue damage in the liver. We used data on the occurrence of giant liver flukes in adult moose collected between 1972 and 2000 from northeastern Minnesota, USA. These data were recorded by 93 km2 sampling units (square grid of 9.66 km on each side). Sample sizes varied between 0 and 45 adult moose examined per sampling unit. We fitted a second-order global polynomial model to adjust for trends in the occurrence of flukes across the study area, modeled the de-trended data using a circular semi-variogram model, and finally kriged our data, arriving at a predicted response surface for the occurrence of liver flukes in moose. Correlational analyses indicated that the occurrence of liver flukes in moose was influenced more by the density of white-tailed deer based on rates of hunter harvest (r = 0.54) than was the proportion of wetland habitats (r = 0.25). Ordinary least-squares multiple regression (R adj = 0.29, AICc = 795.3) documented a strong relationship between the occurrence of liver flukes in moose and population density of white-tailed deer (p < 0.001) but a weaker relationship for wetland habitats (p = 0.16). A geographically weighted multiple regression produced a stronger relationship (R adj = 0.60, AICc = 765.7). Disease maps, as we developed here, are a useful geospatial tool that has relevance for understanding disease processes in moose that may be extended to other mammals.

Land parcelization and deer population densities in a rural county of Virginia

The parcelization of exurban landscapes creates a matrix of intermediately sized and privately managed land parcels, presenting a unique challenge to wildlife managers. During 2010–2011, we studied the correlates between land parcelization, deer density, and hunting patterns in exurban northwestern Virginia, USA. We estimated October deer densities (no. deer/km2) and conducted landowner surveys of deer harvest in 13 study blocks of mean size 34.8 km2. The extent of parcelization varied between study blocks; mean parcel size ranged from 2.00 ha to 26.12 ha. We used distance-sampling techniques to survey pre-harvest deer densities in each section, with estimated densities ranging from 9.4 deer/km2 to 30.1 deer/km2. We quantified deer harvest through calculations of harvest density and the percentage of land hunted. As parcel size increased, the percentage of land hunted increased. Harvest densities reported by landowners, however, remained constant with the exception of 2.0–4.0-ha parcels, which had higher harvest densities than 60.8–161.8-ha parcels. We used linear regression analysis to model the response of deer density (natural log) to landscape metrics, and the best-fit model predicted deer density from mean parcel size with equivalent models including habitat with mean parcel size. Our results suggest that development processes that subdivide rural lands can significantly increase deer populations. The mechanism for this increase may be restricted hunter access to smaller property parcels and-or increased probability of deer refuges nearby. © 2013 The Wildlife Society.