Estimating Ungulate Numbers in a Forest by Track Counts
In short: Can you count deer and wild boar by their tracks instead of sending a line of people through the forest? Comparing drive counts with track counts across five forest districts in the early 1970s, this study found that the answer depended on the species: tracking around blocks worked best for red deer, and counting tracks along transects showed promise for roe deer and wild boar. The catch, then as now, is knowing how far animals travel each day.
Synopsis
1. What they did
Game managers need to know how many animals live in an area. Driving animals out of a forest block and counting them (a drive census) was seen as the best way to estimate numbers, but it takes a great many people. Counting tracks is far cheaper, so the author asked whether track counts could stand in for drives.
From 1971 to 1973, in five state forest districts, the author compared three ways of counting red deer, roe deer and wild boar:
- Drives of forest areas, used as the reference count.
- Tracking around the areas before they were driven. The methods for this follow an earlier study (Pucek et al. 1975).
- Track counts along transects. Tracks were plotted on sketches to count how many crossed the transect lines.
The results were compared with multiple regression: 35 samples for red deer, 39 for roe deer and 26 for wild boar.
2. What they found
Totals (Table 1)
- Red deer: 70 by drives, 116 by tracking around the driven areas, and 584 track crossings on 128,270 m of transect.
- Roe deer: 139 by drives, 75 by tracking, and 687 crossings on 146,790 m of transect.
- Wild boar: 35 by drives, 12 by tracking, and 214 crossings on 103,900 m of transect.
How well the methods matched
- The best method differed between species.
- Red deer: the count from tracking around the driven areas was the only significant predictor of the drive count (correlation 0.522). The number of tracks on the transect was not significant on its own.
- Roe deer and wild boar: the number of tracks crossing the transect was the significant predictor of the drive count (correlation 0.350 for roe deer and 0.389 for wild boar). Tracking around the driven areas was not.
- All the correlations were modest. The multiple correlation was 0.529 for red deer, 0.478 for wild boar and 0.356 for roe deer.
- Tracks per length of transect, which the author expected to matter, was not significantly related to drive results for any species.
Earlier studies
The author reviews earlier attempts to turn track counts into animal numbers. In North American studies, counts of deer track crossings matched a known population poorly in one enclosure study (correlation 0.20), and in another could show that populations differed in size but not by how much. Formozov’s formula, used in the Union of Soviet Socialist Republics (USSR), links animal numbers to the number of tracks, the route length and the average length of an animal’s daily track. Such methods have stalled on the difficulty of knowing how far animals travel each day.
3. What they concluded
- Basic research on how each animal population is spread across the land is needed before track counts can be reliably used to census wild ungulates.
- Track counts along transects offer promise as a census method for roe deer and wild boar.
4. How tracking was or was not used
Tracking was the subject of the study. Tracks were counted around forest areas before they were driven, and track crossings along transect lines were plotted on sketches and counted. Both counts were then compared with drive counts of the same species. The paper gives no details of how the tracks were found or identified, and refers to Pucek et al. (1975) for the tracking procedures. It does not say whether the tracks were in snow or other ground.
5. Tracker or observer certification
Not reported. The paper does not say who counted the tracks or how skilled they were.
8. Implications for tracking (Original Wisdom's observations)
These are Original Wisdom's observations, not the authors'.
- The study shows that a count of tracks is not yet a count of animals. Turning one into the other depends on knowing how far each species moves in a day and how the animals are spread through the forest, which is the knowledge of animal behaviour that trackers build in the field.
Questions and answers
What did Dzięciołowski (1976) study, and how?
Can you count deer and wild boar by their tracks instead of sending a line of people through the forest? Comparing drive counts with track counts across five forest districts in the early 1970s, this study found that the answer depended on the species: tracking around blocks worked best for red deer, and counting tracks along transects showed promise for roe deer and wild boar. The catch, then as now, is knowing how far animals travel each day. Read the full section
What did Dzięciołowski (1976) find?
Red deer: 70 by drives, 116 by tracking around the driven areas, and 584 track crossings on 128,270 m of transect. Roe deer: 139 by drives, 75 by tracking, and 687 crossings on 146,790 m of transect. Wild boar: 35 by drives, 12 by tracking, and 214 crossings on 103,900 m of transect. Read the full section
What did Dzięciołowski (1976) conclude?
Basic research on how each animal population is spread across the land is needed before track counts can be reliably used to census wild ungulates. Track counts along transects offer promise as a census method for roe deer and wild boar. Read the full section
How was tracking used in Dzięciołowski (1976)?
Tracking was the subject of the study. Tracks were counted around forest areas before they were driven, and track crossings along transect lines were plotted on sketches and counted. Both counts were then compared with drive counts of the same species. Read the full section
Who did the tracking in Dzięciołowski (1976), and were they certified?
Not reported. The paper does not say who counted the tracks or how skilled they were. Read the full section
Cite this summary
Lawrence, K. 2026. Summary of: Estimating Ungulate Numbers in a Forest by Track Counts (Dzięciołowski, 1976). Original Wisdom, Tracking Literature. https://www.originalwisdom.com/tracking-literature/1976-dzieciolowski-estimating-ungulate-numbers-forest/
For the paper itself, cite the full citation above.