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Fully Drawn Research · Field IntelligenceField Guide 32 · Hunting Pressure
70 collared deer · 8 seasons · Pennsylvania state forests · Illinois and Missouri refuges

Where Do Deer Go Under Pressure? Shifting Ranges, Protected Cover, and Places Hunters Skip

FDR Research Desk · Field-craft, method, and evidence

Does pressure send deer elsewhere? We cannot settle that question with our new analysis of South Carolina collar records. Locations beyond the property boundary were excluded. What remains describes shifts among deer that stayed: from pre-rut to post-rut, range centers changed by a median 90 meters for does and 685 for bucks. Legally protected refuges raise a different issue. The two studies we located reached different conclusions about benefits to surrounding hunters.

Key findings
  • At a hunted property in South Carolina, doe range centers shifted a median 90 meters from pre-rut to post-rut, compared with 17 meters when a single period was randomly divided into two halves. Buck centers shifted 685 meters, compared with 35.
  • For 43 does, overlap across pre-rut and post-rut resembled overlap between two halves formed by randomly splitting a single period (91% versus 92%). Among 27 bucks, overlap measured 52% versus 92%; the timing of the rut also causes bucks to move.
  • In Pennsylvania's Sproul State Forest, extensive public acreage had hunting mortality below 2%. At Tuscarora, survival reached 60% on public ground, compared with 79% on private ground.
  • A 1,500-acre refuge in Illinois supplied deer to surrounding hunted land within a county whose forest cover was only 2%. At a Missouri site with about 18% forest cover, deer numbers rose both within refuges and beyond them.

IRange centers

Does shifted 90 meters; bucks shifted 685

Locations underlying the 2022 research by Stewart and colleagues at Brosnan Forest are available in a public research archive. Every 30 minutes, collars recorded a location, starting 23 August and continuing to 23 November. Each location carries a period label: pre-rut begins 23 August and ends 18 September; rut begins 19 September and ends 28 October; post-rut begins 29 October and ends 23 November. The property's hunting season opened 15 September and closed 1 January. That places 23 pre-rut days ahead of opening day and 4 afterward, while the entire post-rut period falls during hunting season. Hunting effort was low, at approximately 5 hours per 100 hectares per week.

The archive contains 70 animal-seasons, with each record tracking a deer through a single fall: 43 does plus 27 bucks across eight seasons, spanning 2009 to 2018. We outlined a 95% kernel range separately for each animal and period. This smoothed boundary contains 95% of estimated use calculated from locations recorded during that period. We calculated the distance separating the pre-rut and post-rut centers, then the proportion of pre-rut area contained within post-rut area. To establish a comparison for small changes, we repeated those calculations after randomly dividing each animal's pre-rut locations into two halves.

Doe pre-rut ranges had a median 91% overlap with post-rut ranges, nearly the 92% overlap produced by randomly dividing a single period. At least half the earlier area remained inside the later range for 42 of 43 does. Median displacement between centers reached 90 meters; random splits yielded 17 meters.

Bucks had median overlap of 52%, compared with 92% after random splitting. Their median center displacement measured 685 meters, or roughly 0.4 mile, with a bootstrap 95% interval of 430 to 811 meters. Seventeen of 27 bucks shifted farther than 500 meters. Only 2017 and 2018 had data for both sexes; in those seasons, range centers shifted 606 meters for 8 bucks and 115 meters for 9 does. Median center displacement measured 460 meters between pre-rut and rut, followed by 335 meters between rut and post-rut. Each value is a separate median, so combining them does not produce the 685-meter shift.

Figure 1 · Share of the pre-rut range still in use after the rut
Does held their ground; bucks kept about half of theirs
01Does, pre-rut vs post-rut91
02Does, two random halves of pre-rut92
03Bucks, pre-rut vs post-rut52
04Bucks, two random halves of pre-rut92
Median percent of each animal's pre-rut 95% kernel range that lies inside its post-rut range, 43 does and 27 bucks on one South Carolina property, 2009 to 2018 (8 seasons). The random-halves bars show what the method returns when nothing changes: two halves of the same 27-day window. Source: Dryad collar files (Gulsby, Stewart, Ditchkoff, Collier), FDR analysis.
Figure 2 · How far the center of use moved
A doe's center of use moved about 90 m; a buck's moved about 685 m
01Does, pre-rut to post-rut90
02Does, two random halves17
03Bucks, pre-rut to post-rut685
04Bucks, two random halves35
Median distance in meters between the mean location of an animal's pre-rut fixes and its post-rut fixes. Random halves are two halves of the same pre-rut window and show the sampling noise. The season opens on 15 Sep, so post-rut (29 Oct to 23 Nov) is all in season and pre-rut (23 Aug to 18 Sep) is mostly before it. Rut timing moves in the same direction, so the figure cannot isolate hunting. Source: Dryad collar files, FDR analysis.

Interpret these measurements as the distance a range shifts over one fall on hunted ground; do not attribute those shifts to hunting. Both rut activity and opening day occur between the comparison periods. There is no unhunted comparison area, and collars were largely deployed on does and bucks in different years.

IIPublished evidence

Additional lessons from collar research

The guide to what collar studies show hunting pressure does reviews research from Oklahoma, Mississippi, and Georgia. Only results concerning ranges and refuges appear in the table.

StudyWhere and whoWhat the paper reportsRefuge involved?
Marantz et al. 2016, Canadian Journal of ZoologyControlled hunt with spatial and temporal risk levels; white-tailed deerDistance traveled, microrange area and exploratory behavior fell, most during the 16-day hunting period; deer kept site fidelity to established ranges and did not expand microranges (abstract).No
Karns et al. 2012, SEAFWA proceedingsChesapeake Farms, Maryland; 9 adult bucks through a two-week firearms seasonHome range 306 ha before and 261 ha during the hunt (P = 0.090). 23 encounters within 100 m of a known hunter; 7 pronounced flights averaged 257 m, longest 550 m.No
Keenan, Rosenberry and Wallingford 2008, report to the National Fish and Wildlife FoundationSproul State Forest, Pennsylvania; collared does and mapped huntersLarge parts of Sproul public land had hunting mortality under 2% and few hunters; the authors say they may serve as de facto refugia. Annual survival was 90% on Sproul public land and 72% on private.De facto, no law
Keenan, Rosenberry and Wallingford 2008Tuscarora State Forest, PennsylvaniaAnnual survival was 60% on public land and 79% on private land; hunter density was greater on public land, and only a few small areas had relatively few hunters.No
Hansen and Nixon 2020, Illinois DNR1,500-acre refuge, Piatt County, Illinois; two refuges in north-central MissouriIllinois: off-refuge deer fell to near zero without input from the refuge. Missouri: deer grew on and off the refuges.Yes, legal

What each study measured. Hunters and deer were not counted the same way, so the rows are not ranked. Sources are linked in the text.

Both collar papers describe deer remaining within ranges they already occupied. Marantz and coauthors reported continued site fidelity during hunting, while Karns and coauthors reported that observed disturbances did not force deer beyond their home-range boundaries. The Pennsylvania report documented deer survival and hunter locations; its GPS collars did not work.

IIIProtected ground

Different outcomes for neighboring hunters

Lonnie Hansen and Charles Nixon described tagging research in a summary for the Illinois wildlife agency. In Piatt County, Illinois, researchers followed a 1,500-acre protected area over 5 years. The other project examined a large area of north-central Missouri containing two refuges over 6.

Forest covered 36% of the immediate Illinois study area, compared with just 2% across the county. Deer were more numerous within the refuge. Without animals arriving from protected ground, surrounding deer numbers dropped close to zero annually. Dispersal out of the refuge increased the nearby herd. Computer modeling using those findings indicated that, at the hunting pressure then in effect, keeping the herd outside the refuge stable would require the refuge to contribute about 40% of the female and buck fawn population. The account leaves unclear whether 40% applies separately to each group or jointly to both.

Forest occupied about 18% of the Missouri site. Deer numbers grew both within and beyond the refuges, with slower growth outside. Across that entire study area, merely reducing the rate of population growth would have required hunters to increase harvest by about 20%.

The authors offer this rough guideline: in areas with sparse, scattered woodland occupying less than about 5% of the ground, a refuge seems to benefit hunter success outside its boundaries. With more forest and fewer hunters clustered together, refuges frequently complicate herd management. The summary leaves unexplained how its 5% threshold applies to the Illinois study area: forest occupied 36% locally, within a county whose forest share was 2%. Allowing hunting in a refuge can leave neighboring hunters without the deer that previously dispersed onto their land.

Figure 3 · Two refuges, two outcomes
The Illinois refuge fed the hunted ground next to it; in Missouri the herd grew on both sides
Illinois: county short of woods Missouri: more woods on the site Refuge deer increase refuge deer spread outward hunted ground: near zero without them Refuge deer increase herd grows on both sides hunted ground: increase is slower About 36% forest near the refuge, 2% in the county. Model result: to hold the herd off the refuge steady, the refuge would need to supply about 40% of the female and buck fawn population. About 18% forest on the study site. Hunters would have needed about 20% more harvest just to slow growth across the whole study area.
Schematic of the two study sites reported by Hansen and Nixon (Illinois DNR, 2020): a 1,500-acre refuge in Piatt County, Illinois, and two refuges in north-central Missouri. Arrows show direction only, not counts. The percentages come from the authors' summary; we could not find the original papers.

These percentages come from the authors' account of research in two states. We did not locate the original study papers.

IVLightly hunted places

Quiet ground without legal protection

In Pennsylvania, some ground remained lightly hunted despite having no legal protection. This report does not document deer dispersing into surrounding hunted land. Instead, it records hunter locations and collared-deer survival. Keenan, Rosenberry and Wallingford tracked does wearing collars and plotted hunter locations on a pair of state forests.

On Sproul's public land, 73% of hunters confined their hunting to ground within 600 meters of a road, which accounts for 60% of the land. Slopes below 8 degrees accounted for 57% of the land and were where 70% of hunters hunted. Much of Sproul recorded hunting mortality below 2%; the authors suggested these places could function as refugia in practice. Yearly survival on Sproul's public acreage reached 90%, compared with 72% on private acreage. For deer occupying public slopes of 10-degree steepness, the report's model estimated hunting mortality at 6.4% beside roads and 3.2% at 1,000 meters away.

The pattern differed at Tuscarora. Its public land had a higher hunter density, with relatively low hunter numbers in just a few small areas. Deer survival was 60% on public land compared with 79% on private land. For Sproul, the report reasoned that extending seasons and issuing additional antlerless permits might accomplish little where refugia persist. It described expanded hunter access to steep terrain and places distant from roads as the sole remedy.

VRoad access

On land with roads, every spot is close to a road

A property's distance to roads will not always reveal a refuge. Brosnan Forest's roads totaled 153 kilometers across 2,593 hectares. The nearest road was a median 55 meters from a collar location, and 98.9% of locations fell no farther than 200 meters away. Median distance during daylight was 63 meters, compared with 50 at night. The day-night difference measured 17 meters ahead of 15 September and 12 afterward, showing no increase when hunting opened.

VIAnalysis limits

How the calculations work and where they stop

Each outline used a 95% fixed-kernel estimate and enclosed 95% of estimated animal use. We applied a reference bandwidth and a grid spaced at 25-meter intervals. Overlap measures how much pre-rut area is contained within post-rut area. Using a minimum convex polygon drawn around the locations produces the same overall result: does showed 91% overlap and bucks 46%. The file includes no more than 400 sampled locations for each animal in each period, excluding any recorded beyond the study boundary. That restriction confines these measurements to shifts within the property, prevents detection of departures, and produces areas below published home-range sizes. The scope is a single, lightly hunted 2,593-hectare property, with observations beginning 23 August and ending 23 November. The paper lists 42 females plus 28 males; the file instead contains 43 and 27. We left that discrepancy unresolved.

VIISanctuary test

Protected ground or merely dense cover?

Evaluate a sanctuary's hunting access along with the surrounding habitat. Before treating a quiet stand as evidence of a refuge, consider three questions. First, does a closure prohibit hunting, or does such limited hunting occur that mortality approaches zero? If neither applies, that spot is cover on hunted land. Second, are nearby woods scarce, like those in the Illinois county, or more plentiful, like those at the Missouri site? Third, are deer moving across the boundary? Without those crossings, neighboring hunters gain no benefit from a refuge.

The collar results also caution against assuming deer departed because a stand went quiet. In a single fall at Brosnan Forest, the typical buck's range center shifted 685 meters; 17 of 27 had shifts exceeding 500. Those files still cannot establish whether any deer departed the property. Use our guide on reading public-land pressure by effort to identify overlooked pockets of public ground.

Notes & disclosures
  1. Source: Stewart et al. 2022, Ecology and Evolution (Brosnan Forest collar study).
  2. Source: Karns et al. 2012, SEAFWA proceedings.
  3. Source: Keenan, Rosenberry and Wallingford 2008, final report.
  4. Source: Hansen and Nixon 2020, Illinois DNR Outdoor Illinois Journal.
  5. Source: Marantz et al. 2016, Canadian Journal of Zoology.
  6. The collar files describe one 2,593-hectare private property in South Carolina, 8 seasons, 70 animal-seasons, low hunting effort (5 hours per 100 hectares per week).
  7. Period is defined by rut dates, not hunting status. The season opens 15 September, so the pre-rut window is mostly before it and the post-rut window is entirely inside it; rut timing shifts buck movement in the same direction, so the contrast cannot isolate a hunting effect.
  8. The range file drops fixes outside the study site and holds up to 400 sampled fixes per animal-period, so it can show rearrangement inside the property but not departure from it, and its areas are smaller than published home ranges.
  9. There is no unhunted control and no fixes outside 23 Aug to 23 Nov.
  10. Bucks and does were collared in different seasons, so the sex comparison is also a comparison of years.
  11. The Illinois and Missouri refuge results come from an Illinois DNR write-up of tagging studies; the original papers were not located.

Fully Drawn Research is an independent data analysis desk, not affiliated with the Illinois Department of Natural Resources, the Illinois Department of Transportation, or any mapping or outfitting provider. Fully Drawn Research is an independent data and analysis desk. This guide summarizes published research and FDR's own data; cited findings belong to their authors, and study results come from specific places and years that may not match your ground.