Neither method is universally best. Camera traps are one type of camera survey, while “camera survey” can also mean other protocols. The practical choice is usually between unattended camera-trap sampling and observer-led visual surveys. Cameras can record wildlife over repeated periods without an observer on site; visual surveys may be less equipment-intensive and can find animals a motion-triggered camera misses. Choose based on the species, the result you need, where and when you can survey, and the time available for fieldwork and data processing.
First, clarify what “camera survey” means
A camera trap is itself a camera-based wildlife survey method, typically using a motion- or heat-triggered camera. “Camera survey” is broader: it may refer to camera trapping or another imaging protocol. So the useful comparison is not camera traps versus every camera survey, but camera traps versus a specific alternative—often observer-led visual encounter surveys.
Those approaches observe wildlife differently. A camera records an animal only if it enters the camera’s detection zone and the sensor and settings produce a usable image or video. A visual survey depends on an observer being present, looking in the right place at the right time, and recognizing the animal. In either case, no detection does not prove absence.
How to choose: start with the question
Decide what you need to estimate before choosing equipment or locations. A method that produces many photographs may still be a poor fit for estimating how widely a species is distributed or how many animals are present.
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| Monitoring question | What the method must support | Practical implication |
|---|---|---|
| Is the species present? | A credible chance of detecting it during the survey period | Consider activity patterns, survey timing, placement, and whether the animal can be detected by the chosen method. |
| Where does it occur across an area? | Sampling locations representative of the area, with a defined sampling unit and repeat-survey period | Random or stratified placement generally better supports area-level inference than placing every camera at a high-use trail. |
| How many species occur in a community? | Coverage broad enough to detect the species present, including less common ones | More sites may matter more than simply leaving a few cameras running longer. |
| How abundant or dense is the population? | A design and analysis that account for detectability and the animals’ movement and behavior | Do not treat raw photo counts or detection rates as abundance without a justified analytical approach. |
Trail or other focal-feature placement can improve the chance of recording a target species. But it can distort comparisons across an area if the goal is occupancy or community richness. Lures and other attractants also affect what gets detected and should be considered in light of the study’s assumptions.
What each method does well—and where it can fall short
Camera traps
- Repeated, unattended recording: Cameras can collect records when staff are not at the site, widening the periods covered compared with surveys limited to observer visits.
- Consistent records: Images can provide evidence for later review, but only for animals that trigger the camera and are captured clearly enough to identify.
- Setup and processing demands: Deployments require cameras, installation, and image review. Large image volumes can shift the workload from field visits to processing.
- Detection limits: Placement, sensor performance, settings, animal movement, and activity all influence whether a camera records a species.
Observer-led visual surveys
- Flexible searching: Observers can search locations or habitats that are difficult to cover with fixed cameras and may detect animals that do not trigger a camera.
- Less camera equipment: Visual surveys may avoid camera purchase and installation, though they still require staff time and travel.
- Limited observation windows: Detection is tied to visits and the times observers are present. Staff availability, access, visibility, and animal activity can constrain coverage.
There is no general detection winner. In a North Carolina pilot focused on Carolina northern flying squirrels, estimated detection probability was 0.37 ± 0.06 standard error for acoustic surveys, 0.30 ± 0.06 for camera traps, and 0.01 ± 0.005 for live traps. Those figures describe that species and study’s protocols, not wildlife monitoring overall. Cameras and acoustics detected animals sooner on average than live trapping; field effort was 9.6 hours for cameras, 8.4 hours for acoustics, and 111.9 hours for live traps, but processing made total effort more similar. The study authors noted that seasonal effects and protocols need more work before wider application.
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Design camera sampling around the inference
Camera placement and deployment length shape what the records can support. For occupancy or community questions, use probability-based or stratified placement when possible, define the sampling unit and repeat-survey period, and document the deployment consistently. Record camera location and height, sensitivity, trigger delay, deployment dates, effort, and downtime.
A multi-site analysis by Kays and coauthors used data from 41 areas and 2,225 camera deployments. Its findings show why a single site-count formula is misleading:
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| Goal or finding | Result in the studied data |
|---|---|
| Precise species-richness estimates | About 25–35 sites, depending on study scale |
| Occupancy estimates for common species (occupancy above 0.75) | Fewer than 20 sites could be sufficient for precision |
| Occupancy estimates for rare species (occupancy below 0.25) | More than 150 sites could be needed |
| Efficient discovery of new species | Two weeks of camera operation was most efficient |
| Precise local detection-rate estimates | Three to four weeks were needed; precision did not improve after a month in the analyzed data |
The study’s suggested 40–60 sites for three to five weeks applies to the metrics and datasets assessed, not every wildlife survey. A rare, elusive species may require a very different design from a common species or a broad community inventory.
Account for season and animal behavior
Survey timing can change which animals appear to be present. In the Kays analysis, 37%–50% of species across the examined sites showed significant seasonal fluctuations in occupancy or detection rate. At temperate sites, season-sensitive species varied in relative abundance by an average factor of four to five; some were absent in a season because of hibernation or migration. These are results from the studied sites, not a global rate.
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Plan around the target species’ active season and expected behavior. A camera left out for a long time cannot record an animal that is inactive or outside the survey area. For small mammals, reptiles, and amphibians, standard passive-infrared cameras may not be the best fit; visual searches, cover objects, drift fences, or time-lapse approaches may work better depending on activity timing and the question.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Compare the full workload, not just time in the field
Camera trapping exchanges some repeated field visits for equipment setup and image processing. Visual surveys avoid much of that camera-specific work but require observers to travel to sites and conduct searches during suitable observation windows. A practical comparison should include:
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- Camera purchase or availability, installation, maintenance, and potential downtime.
- Travel and staff time for deployment, checks, retrieval, and observer-led survey visits.
- Time and capacity for image review, species identification, and data management.
- Access, weather, visibility, security, and the chance that equipment or observers disturb wildlife.
- Whether the method can sample the needed locations and times for the chosen estimate.
In a threatened-species comparison, cameras offered temporal coverage while visual surveys offered spatial flexibility; camera equipment, installation, and processing were identified as costs. When neither approach clearly covers both the temporal and spatial needs, a paired pilot can show whether the methods detect complementary animals and reveal their actual workload at the site.
Make the choice
- Name the estimate. Specify whether you need presence, occupancy, richness, abundance, or density.
- Check detectability. Ask whether the animal’s size, activity, movement, and habitat suit a camera’s detection zone or an observer’s search.
- Choose representative locations. Use random or stratified placement for area-level questions; use trails or focal features only when they fit the target and the intended inference.
- Set the season and repeat period. Align surveys with the animal’s active period and define how repeat detections will be handled.
- Budget the full effort. Include travel, installation, field visits, equipment checks, and image processing—not only camera runtime or time spent searching.
- Pilot when uncertain. If both methods are plausible, test them side by side at a small number of sites before committing to a larger design.
The central methodological caution is that camera records reflect more than animal abundance: movement, behavior, placement, and detection all shape what a camera captures. Burton and coauthors, in their 2015 review, wrote: “We remain optimistic about the technology’s promise, but call for more explicit consideration of underlying processes of animal abundance, movement and detection by cameras, including more thorough reporting of methodological details and assumptions.”
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