Wolf detected by AI species recognition

Use cases

Six areas — one foundation
of structured observations.

Plature is used in biodiversity monitoring, wildlife management, nature restoration and invasive-species monitoring — by municipalities, agencies, research projects and infrastructure projects across Denmark.

01

Biodiversity

Species occurrence and trends over time — continuous documentation of the state of nature across regions and habitats.

Example: a 5-year baseline for breeding birds and mammals in a habitat area.

BiodiversityState of natureTime series
02

Conflict & risk

Monitoring of wolves near urban zones, invasive species and damage to game or crops, so efforts can be targeted where and when they are needed.

Example: early warning when wolves move within defined zones.

Wolf monitoringInvasive speciesWildlife damage
03

Restoration & rewilding

Baseline and before/after documentation of species activity in project areas, so nature restoration can be measured, not just described.

Example: documenting species development 3 years after a stream remeandering.

Nature restorationRewildingImpact measurement
04

Infrastructure

Fauna passages, roads, wind and solar projects: continuous nature documentation throughout the project lifecycle.

Example: monitoring a fauna passage before, during and after a motorway expansion.

Fauna passagesInfrastructureWind and solar
05

Invasive species

Early indication of unwanted species, their spread and pace — automatic and continuous rather than sample-based.

Example: detecting raccoon dogs in new districts before the population establishes itself.

Raccoon dogRaccoonEarly detection
06

Area-based insight

Aggregation per municipality, project area or grid — ready for analysis, comparison and reporting across management units.

Example: municipal biodiversity reports with standardised time series.

Municipal managementGrid analysisReporting

Research case

Badger behaviour — undisturbed island vs. human-impacted mainland

The study compares the behaviour of badgers (Meles meles) on the undisturbed island of Vorsø with the human-impacted mainland of Jutland — based on ~2,000 videos captured by wildlife cameras and classified automatically.

Supervisor
Sussie Pagh

Camilla Beregaard Andersen & Nikolai Schlichting Nielsen — Bachelor project, June 2025

Aim

Investigate behavioural response and adaptation in badgers across human-disturbed environments.

Study site

Two contrasting habitats in Denmark: the undisturbed island of Vorsø and a human-impacted area in Jutland.

Method

Distributed wildlife-camera deployment with automated classification of five behaviours (Foraging, Grooming, Locomotion, Social, Vigilance) across ~2,000 videos using LabGym v2.5.

Results

Significant differences in time budgets between island and mainland (Mann–Whitney U). Island individuals showed more continuous activity and greater variation in locomotion; mainland individuals more variable social behaviour and heightened vigilance.

Conclusion

Badger behavioural plasticity is context-dependent. As an ecosystem engineer, preserving behavioural diversity should be part of conservation strategies.

Behavioural studyBadgerAI classificationResearch
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More cases

Wildlife cameras in practice — from research to infrastructure

See how Plature's wildlife cameras and AI species recognition are used in real projects: fauna passages, biodiversity monitoring and scientific research.

Red deer crossing a fauna bridge over the Holstebro Motorway

Camera monitoring of fauna passages

Motorways and expressways fragment the landscape and split populations of wild mammals into ever smaller units — one of the largest threats to Danish biodiversity. The Danish Road Directorate is building green corridors across the national road network: fauna bridges, landscape bridges and underpasses that let red deer, fallow deer, roe deer, foxes and mustelids cross the motorway safely.

Wildlife cameras document which species actually use which passage types, and how often. Combined with AI-based mapping of roadkill, this provides the basis for a defragmentation programme — placing and sizing future fauna passages where they make the biggest difference for wildlife and road safety.

Fauna passagesNational roadsWildlife camerasRoad safety
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Next step

Do you have an area that needs monitoring?