Biologging Guide

What Is Biologging? A Complete Guide from a Japan-Based Biologging Manufacturer

Biologging is a research method in which small sensors attached to wild animals record their behavior, physiology, and surrounding environment as first-party data. This guide covers the field from its 1960s origins to today's AI- and satellite-integrated platforms, written from the perspective of an equipment manufacturer.

Takuya Koizumi & Takuji NodaPublished: May 12, 2026Updated: May 12, 2026

1. Definition

Biologging is a research method in which small sensors or recording devices are attached to wild animals, allowing the animal itself to log its own behavior, physiological state, and surrounding environment. The term combines "bio" (life) with "logging" (recording) and was coined within the Japanese research community in the late 1990s before spreading worldwide.

Traditional ecological surveys rely on visual observation, mark-recapture, and ground-based radio telemetry — methods constrained by where, when, and how long humans can observe. Biologging treats the animal itself as a moving sensor platform, opening access to underwater, polar, nocturnal, and long-duration contexts that would otherwise be unreachable.

Today the field combines data loggers (offline recording), GPS collars (near-real-time transmission via cellular or satellite), video loggers (first-person imagery), and accelerometers (behavioral classification) — applied not only to ethology but also to climate research, wildlife damage management, and biodiversity policy.

2. History: A Term Coined in Japan

The technical lineage of biologging traces back to 1960s Antarctic research. Japanese researchers played a central role in systematizing and naming the field, and the term is now used worldwide.

  1. 1964

    G. L. Kooyman's Weddell seal study

    American biologist Gerald Kooyman attached a modified kitchen timer-based depth recorder to Weddell seals in Antarctica, capturing dive profiles as a time series for the first time. This is widely cited as the origin of biologging.

  2. 1980s

    Development in Japanese polar and marine research

    Yasuhiko Naito and colleagues at the National Institute of Polar Research advanced data logger deployments on penguins, seals, sea turtles, and seabirds. Japan's mechatronics and miniaturization expertise was brought to bear on ecological research.

  3. 2003

    First International Symposium on Bio-logging Science

    The first symposium, held in Tokyo, established "bio-logging" as the international term. The Japan Bio-logging Science Society was founded around the same time and continues to lead the field today.

  4. 2010s

    Sensor diversification and miniaturization

    MEMS accelerometers, magnetic sensors, temperature/depth/light sensors, ultra-compact GPS, and low-power MCUs made multi-month continuous recording feasible at gram-scale weights — expanding deployments to small birds and mammals.

  5. 2020s

    Integration of AI, satellites, and the cloud

    Edge AI now performs on-device behavioral classification; LTE and satellite IoT enable near-real-time uplink; cloud platforms aggregate data across species and projects. Research decisions are shifting from "months later in analysis" to "same-day on the dashboard."

3. Equipment Types

Biologging equipment is differentiated by target species, what is measured, and how data is retrieved. This section summarizes each category from a manufacturer's perspective.

Major biologging device types compared

Device typePrimary sensorsTypical target animalsTypical recording durationData retrieval method
Data loggers (including geolocators)
LoggLaw C Series
Depth, temperature, acceleration, light, magneticMarine mammals, seabirds, fish, sea turtlesWeeks to yearsRecapture, or pop-off release retrieval
GPS collars
LoggLaw G Series
GPS, accelerometer, temperature, comms module (LTE / satellite)Medium to large terrestrial mammals (deer, bear, wild boar)Months to yearsReal-time transmission via cellular or satellite
Bird GPS
LoggLaw G2S
GPS, accelerometer, solar cell (species-dependent)Raptors, waterbirds, large seabirdsMonths to multiple years (solar models)Cellular transmission, or download on recapture
Video loggers
LoggLaw CAM
Camera, hydrophone, depth, accelerationMarine mammals, large fish, sea turtlesHours to days (battery-limited)Pop-off recovery and SD card readout
Underwater acoustic monitors
LoggLaw NAD-W
Hydrophone, edge AI detection moduleVocal marine animals (dolphins, whales) — passive monitoringOne week to several monthsSD card retrieval, or LTE metadata uplink

4. What Data Can Be Collected

The value of biologging data comes not from a single sensor channel but from multiple time-synchronized streams. Major data layers include the following.

Location (GPS / Argos / geolocator)

Terrestrial GPS provides meter-scale fixes; light-based geolocators infer position from solar timing for marine animals. Both feed directly into migration, range, and corridor analyses.

Depth and water temperature

Foraging depths of diving animals and water-column temperature profiles are recorded at sub-second resolution. Increasingly used as supplementary observations in oceanographic and climate models.

Acceleration and geomagnetism

Tri-axial acceleration is used to classify posture, gait, wingbeat, and foraging actions. Combined with edge AI, only classification results need to be transmitted — saving power and bandwidth.

Video and audio

Video loggers and hydrophones capture first-person foraging behavior, social vocalizations, and the surrounding biotic and anthropogenic soundscape.

Physiological signals

Heart rate, body temperature, and EMG are deployed where attachment techniques are mature. Critical for energy budget studies and assessments around disease or reproduction.

5. Applications

Biologging has expanded beyond ethology into biodiversity policy, climate research, and agricultural damage management.

Marine behavior and ecology

Dive profiles and foraging behavior of whales, dolphins, seals, sea turtles, and large fish are revealed in detail. Passive acoustic monitoring identifies rare species and quantifies the impact of vessel noise.

Migration and flyway analysis

Gram-scale devices directly capture trans-Pacific, East Asian, and Mediterranean migration routes — supporting conservation area design and avoidance planning for offshore wind farms and other infrastructure.

Wildlife damage management

GPS collars combined with cloud management platforms make deer, bear, and wild boar ranges and capture/intrusion events visible across municipalities — balancing damage reduction with population management.

Animal Portal — wildlife management cloud

Climate research

Temperature and salinity profiles carried by marine mammals fill observational gaps in polar and deep-ocean regions where instrumentation is sparse. Animals as moving observatories are now a recognized input to climate models.

Biodiversity policy and environmental assessment

Biologging data informs international treaties (CMS, CBD) and national endangered-species action plans. Pre- and post-construction behavioral comparisons add quantitative rigor to environmental impact assessments.

6. Notable Projects

Biologging is a heavily collaborative field. Here are several of the leading projects and organizations.

MegaMove

International consortium (2025)

An integrated analysis of movement data from 111 large marine species, contributed by 377 researchers worldwide. Now used internationally as evidence for marine protected area design.

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ICARUS

Max Planck Institute / International Space Station

Global tracking of micro-tags via a receiver on the International Space Station — extending biologging to small birds, bats, and other small mammals.

BiP (Biologging intelligent Platform)

National Institute of Polar Research and partners

A Japan-originated platform for standardizing and sharing biologging data across species and projects in the cloud. Compatible with all LoggLaw series devices.

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Japan Bio-logging Science Society

Bio-logging Science Japan

The domestic research community in Japan. Drives terminology, methodology, and ethical guidelines through annual symposia and international meetings.

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7. The Future of Biologging

Over the next 5–10 years, biologging will shift along three axes.

First, edge AI will deliver "classified data" in near-real time. Avoiding raw-waveform transmission cuts power and bandwidth costs, enabling longer and wider deployments. The impact is greatest in operationally responsive use cases such as proximity alerts in wildlife damage management.

Second, satellite IoT will integrate with biologging. Argos plus emerging low-earth-orbit constellations will make real-time data acquisition feasible in polar and open-ocean contexts.

Third, cross-species data standardization will accelerate. Platforms like BiP and Movebank are dissolving the silos between individual studies, unlocking scientific and policy uses at a larger scale. We are developing BiP integration as a standard feature across the LoggLaw series.

As capabilities expand, the parallel discussion of attachment ethics, animal welfare, and data governance is essential to the field's healthy development.

8. Frequently Asked Questions

Q. What is the difference between biologging and telemetry?

Telemetry emphasizes remote transmission (via radio or satellite). Biologging emphasizes the animal's own first-party recording. GPS collars, which both record onboard and transmit over a network, sit at the intersection — and in practice the terms are now often used as near-synonyms.

Q. What is the difference between a data logger and GPS?

A data logger stores time-series data to onboard memory (e.g., SD card) for retrieval after the device is recovered. GPS is a positioning sensor; in a collar configuration it is typically paired with an LTE or satellite module for near-real-time transmission. Marine and avian research often uses compact data loggers, while terrestrial wildlife management favors GPS collars.

Q. Does attaching equipment stress the animal?

International guidelines recommend keeping attachment weight to 3–5% or less of body mass. Most studies report no significant impact on behavior or survival when proper attachment methods and durations are used. Standard practice involves animal-ethics committee approval, pre/post behavioral comparisons, and natural-release mechanisms.

Q. Who owns biologging data?

Data is generally owned by the researchers and institutions who deploy the equipment, and shared via publications and platforms (BiP, Movebank, etc.). For region-restricted or protected species, government approval may also apply. Always check with the deploying party before commercial or media use.

Q. Can independent researchers deploy biologging equipment?

Yes. The LoggLaw series supports scales from individual labs to municipalities and international consortia. We also support study design — target species selection, retrieval protocols, and data analysis pipelines. Contact us to discuss your project.

Q. What is the future of biologging?

Technically, the next 5–10 years will be defined by edge AI, satellite IoT, and cloud data sharing. Application-wise, biologging is expanding from ethology into climate research, biodiversity policy, and wildlife damage management. Animals are becoming part of a planetary sensor network as moving observatories.

About the Authors

Takuya Koizumi
Co-CEO, Biologging Solutions Inc.

A graduate of Kyoto University's Graduate School of Informatics and UC Santa Cruz's School of Environmental Studies. As co-founder of Biologging Solutions Inc., a Japan-based biologging equipment manufacturer, he oversees deployments of the company's products with municipalities, universities, and international consortia.

Takuji Noda
Co-CEO, Biologging Solutions Inc.

A biologging researcher with field experience including video-logger studies of penguin behavior in Antarctica. As co-founder of Biologging Solutions Inc., he leads the development of compact data loggers, GPS collars, and video loggers built directly around real-world research needs.

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As a Japan-based biologging equipment manufacturer, we support research projects, municipal deployments, and international consortia end-to-end — from device selection and retrieval protocols to data analysis platforms.

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