Entry 001 — What it is
Notes on keeping wildlife data honest.
Wildlife data management is the structured way of gathering, storing, organising, analysing and archiving data about wild animals: how many there are, how they behave and the habitats they use. Its job is simple to state: turn raw field data into trustworthy information that people can act on and build on.
Six kinds of data, one life cycle. Start from the source you work with:
Camera traps · GPS tracking & telemetry · Acoustic monitoring · Remote sensing · Field observations & surveys · Citizen science
Entry 002 — The shared frame
One life cycle, whatever the source
A GPS fix, a sound file, a satellite scene and a volunteer's sighting all go through the same five stages. Each source page below follows them.
- 01 · Collect
Decide what you need to know, design the survey, then let devices and people record in the field.
- 02 · Store
Get files and records into one safe system, not SD cards in a drawer or spreadsheets on one laptop.
- 03 · Process
Link each record to a device, place, time and taxon; review labels and check quality.
- 04 · Share
Make it findable for the people who analyse trends, and publish in open standards.
- 05 · Archive
Keep the history, so later surveys have a baseline and others can build on the work.
Entry 003 — Data sources
Six sources of wildlife data
Camera traps
Motion- or time-triggered cameras that record images and video of animals passing a fixed point.
Read the entry →
GPS tracking & telemetry
Collars and tags that log where individual animals are, and often how they move.
Read the entry →
Acoustic monitoring
Recorders left in the field that capture calls of birds, bats, frogs, insects and marine mammals.
Read the entry →
Remote sensing
Satellite, aerial and drone imagery that shows habitats and how landscapes change.
Read the entry →
Field observations & surveys
Counts, transects and notes made by ecologists and rangers using a set protocol.
Read the entry →
Citizen science
Observations and classifications contributed by volunteers through public platforms.
Read the entry →
Entry 004 — Where it comes together
Problems every source shares
Volume
Cameras, recorders, tags and satellites all produce more data than people can look through by hand. Data left in local, program-specific formats becomes “dark data” others cannot find (Forrester et al. 2016).
Metadata
A record is only reusable if you know the device, place, time, settings and who or what made the identification.
Sensitive locations
Exact positions of rare or persecuted species can do harm. Generalise coordinates in shared copies, not in your stored records (GBIF guidance).
Privacy
Cameras and microphones also record people. Decide how you handle personal data before you deploy.
Linking sources
Combining tracks, images, sounds and surveys needs shared identifiers for places, times and taxa; common standards make that possible.
Long-term archiving
Monitoring only pays off over years. Plan where data lives after a project, a grant or a tool ends.
Entry 005 — Use cases
Where sources are combined
Solar-park biodiversity
- Sources combined
- Camera traps · field surveys · drone imagery
- Problem
- Owners and their ecologists need to show which species use the land around the panels, over seasons and years.
- Outcome
- A seasonal record of species and habitat condition, shareable in a standard format with permit holders.
Predators at fish farms
- Sources combined
- Camera traps · field observations
- Problem
- Trout and fish farms want to know when otters, herons or other predators visit ponds and basins.
- Outcome
- A picture of when and where visits happen, so protection can be targeted.
Wild boar at vineyards
- Sources combined
- Camera traps · field observations
- Problem
- Winemakers need to know when and where boar enter the rows.
- Outcome
- Protection goes where it is needed, instead of everywhere.
Beaver activity at dikes
- Sources combined
- Field observations · camera traps · remote sensing
- Problem
- Water boards need to know where a protected species is active near water defences.
- Outcome
- Informed decisions about water defences, with exact locations kept out of public copies.
Nature parks, land managers, NGOs and research groups use the same building blocks at larger scale. Which approach fits your question? →