An Improved Estimate of Trail Detectability for Snow-Trail Surveys
In short: Is a meadow with few tracks really empty, or have the tracks faded? Using wooden blocks to make artificial tracks in Wyoming’s Big Horn Mountains, researchers showed that small tracks in exposed, windy sites disappear much faster than large tracks in sheltered forest. They offer a simple correction so that snow-track counts can be compared fairly across species and habitats.
Synopsis
1. What they did
Counting animal trails in snow along transects is a long-standing way to learn where mammals live and how common they are. Counts are usually standardized as trails per “kilometer-day” (kilometers surveyed multiplied by days since snowfall). The authors point out that this leaves out a third factor: how visible a trail stays. Snow settles and hardens, so trails made later after a snowfall leave fainter marks, and wind, sublimation and melting wear trails down once they are made. These effects probably differ between species and habitats.
To measure this, they:
- Grouped tracks by size. They plotted the track area against body weight for 16 winter mammals in the Big Horn Mountains, Wyoming, and found three clusters: small (about 20 cm²), medium (about 50 cm²) and large (about 100 cm²).
- Made artificial tracks. They dropped wooden blocks onto the snow: a 130 g block from 2 cm for small tracks, a 675 g block from 5 cm for medium, and a 1620 g block from 35 cm for large.
- Laid out trails after each snowfall. At 6 locations, each with 4 sites of differing exposure to weather (open meadow, meadow edge, forest near the meadow, and forest at least 10 m from the meadow), they made a trail of 10 tracks of each size 12 to 24 hours after a snowfall of at least 5 cm. Each day they added a new trail beside the last and rescored all older trails as “visible” or “not visible” until the next snowfall. Observers kept at least 1 m from trails and used the same paths each day.
- Built a new measure. They modelled how the visibility of trails fell with days since snowfall for each track size and exposure, and used this to adjust the kilometer-day into a “modified kilometer-day”.
2. What they found
- Data collection lasted 4 to 8 days after a snowfall at each location.
- Trail visibility fell faster for smaller tracks and for more exposed sites (track size: F = 3.4, P = 0.040; exposure: F = 3.8, P = 0.014). The two factors did not interact.
- The three more exposed classes (meadow, edge and forest near the meadow) lost visibility at similar rates, so they were combined as “exposed”, with the deep forest as “protected”.
- Large tracks in protected sites were the only trails whose visibility did not decline from the first to the eighth day after snowfall. Medium and small tracks in exposed sites were fairly hard to see even on the first day, which points to snow hardening quickly after a storm.
- They give six equations, one for each track size and exposure, for the modified kilometer-day. For example, for small tracks in exposed sites: km x days x [1.11 - 0.12 x days].
- Worked example: on day 5 after snowfall, one trail of a medium-sized species on a 1 km transect in a meadow and one on a 1 km transect in dense forest both give 0.20 trails per kilometer-day, suggesting equal occurrence. Corrected for visibility, the species occurs 45% more often in the exposed meadow (0.32 versus 0.22 trails per modified kilometer-day).
- Planning surveys: a 2 km survey in protected forest on day 5 equals 9.2 modified kilometer-days for medium tracks; to match it, a survey in exposed habitat on the same day would need to be 2.97 km long.
3. What they concluded
- The modified kilometer-day adjusts for differences in trail visibility, so indices of relative occurrence become more comparable across species and habitats.
- Exposed sites are probably affected by windblown snow: forest edges change wind flow and redistribute snow, which may reach into nearby forest. In open meadows, tracks often froze into the snow after daytime thawing and night refreezing; shallow frozen tracks then stayed fairly visible even in wind.
- Detailed weather measurements (wind speed, sunlight) might predict visibility better, but measuring them along real transects would be impractical.
- Limits: the models apply only to surveys that record trails made since the last snowfall, and probably not beyond 8 days after a snowfall, when the relationship is expected to level out.
- The study measured whether trails could be seen, not whether they could be identified. Degraded trails in exposed areas often cannot be identified to species, especially where species have similar tracks, such as small and medium-sized canids.
- Other issues remain: species that move more (such as coyotes) leave more trails than sedentary ones (such as porcupines), which confounds comparisons between species, and surveys along roads can be biased because some species prefer roads (coyote) and others avoid them (bobcat).
- With slight adaptations, such as careful control of environmental conditions, traditional field naturalist techniques can meet the demands of modern wildlife science.
4. How tracking was or was not used
The study is about snow tracking itself: it measured how long trails in snow stay visible, so that snow-trail surveys (counts of trails along transects) can be corrected. The trails were artificial tracks made with wooden blocks, scored each day as visible or not visible; tracks were “not visible” when they left no marks or only marks that could not be told from natural irregularities in the snow. The authors note that, in their experience, a tracker can usually follow trails that cannot be identified into sheltered spots, such as the lee side of fallen trees, where identification is possible, although this may be difficult in very exposed areas.
5. Tracker or observer certification
Not reported. The paper does not say who scored the tracks or what tracking experience they had; R. Hay and G. Vos are thanked for help with data collection. Because visibility was scored by eye, the results depend on the observers’ judgement.
6. Other technologies, skills or innovations
- Artificial tracks made by dropping weighted wooden blocks of set size and height, matched to the area and depth of real tracks in three size groups.
- A trail-visibility index that captures both snow hardening (new trails each day) and trail weathering (rescoring older trails).
- The modified kilometer-day, a correction that can also be used to plan how much longer transects in exposed habitat need to be.
7. Implications for conservation (from the paper)
- Snow-trail surveys are especially useful for finding where rare and wide-ranging species occur, and they do not change animals’ natural behaviour or habitat use.
- Correcting for trail visibility allows snow-trail survey data to be used in rigorous tests of hypotheses about the distribution and abundance of mammals.
8. Implications for tracking (Original Wisdom's observations)
These are Original Wisdom's observations, not the authors'.
- The study shows in numbers what experienced trackers know: small, light tracks in open, windy places fade fastest, so a survey that finds fewer trails there may simply be seeing less, not finding fewer animals.
- It separates seeing a trail from identifying it. Visibility was tested here, but identification skill was not, so the real detection of a given species will also depend on the observer.
Questions and answers
What did Beauvais and Buskirk (1999) study, and how?
Is a meadow with few tracks really empty, or have the tracks faded? Using wooden blocks to make artificial tracks in Wyoming’s Big Horn Mountains, researchers showed that small tracks in exposed, windy sites disappear much faster than large tracks in sheltered forest. They offer a simple correction so that snow-track counts can be compared fairly across species and habitats. Read the full section
What did Beauvais and Buskirk (1999) find?
Data collection lasted 4 to 8 days after a snowfall at each location. Trail visibility fell faster for smaller tracks and for more exposed sites (track size: F = 3.4, P = 0.040; exposure: F = 3.8, P = 0.014). The two factors did not interact. Read the full section
What did Beauvais and Buskirk (1999) conclude?
The modified kilometer-day adjusts for differences in trail visibility, so indices of relative occurrence become more comparable across species and habitats. Exposed sites are probably affected by windblown snow: forest edges change wind flow and redistribute snow, which may reach into nearby forest. Read the full section
How was tracking used in Beauvais and Buskirk (1999)?
The study is about snow tracking itself: it measured how long trails in snow stay visible, so that snow-trail surveys (counts of trails along transects) can be corrected. The trails were artificial tracks made with wooden blocks, scored each day as visible or not visible; tracks were “not visible” when they left no marks or only marks that could not be told from natural irregularities in the snow. Read the full section
Who did the tracking in Beauvais and Buskirk (1999), and were they certified?
Not reported. The paper does not say who scored the tracks or what tracking experience they had; R. Hay and G. Vos are thanked for help with data collection. Because visibility was scored by eye, the results depend on the observers’ judgement. Read the full section
Cite this summary
Lawrence, K. 2026. Summary of: An Improved Estimate of Trail Detectability for Snow-Trail Surveys (Beauvais and Buskirk, 1999). Original Wisdom, Tracking Literature. https://www.originalwisdom.com/tracking-literature/1999-beauvais-buskirk-improved-estimate-trail-detectability/
For the paper itself, cite the full citation above.