Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Bio-logging as a Method for Understanding Natural Systems

Authors: Randall William Davis;

Bio-logging as a Method for Understanding Natural Systems

Abstract

Obtaining new information on the natural world involves direct observation, measurement and experimentation. However, this can be challenging for species that are very small, cryptic, sensitive, fragile, rare, dangerous or live in extreme environments. As a result, information on the life history, behavior, physiology, and ecology of many animals is scant or non-existent. The scientific field of bio-logging has existed for many years, but recent advances in electronic miniaturization and digital information processing and storage are providing new insights into the hidden lives of animals that can only be studied vicariously, that is, indirectly through the use of technology. Bio-logging generally involves an animal- borne instrument that monitors or records aspects of an animal's biology (e.g., behavior, movements, physiology) and its environment. For example, bio-logging instruments can record video or still images of animal behavior and record data from a variety of sensors that monitor location and locomotion (three-dimensional movement), physiology (body temperature, heart rate, blood oxygen concentration), and environmental variables (ambient temperature, light level, oxygen concentration, salinity, sound). This information is either stored for later recovery or transmitted immediately. In many cases, the initial challenge is locating the species, then attaching and recovering the instruments. However, as bio-logging technology becomes smaller and more data rich, we face the challenge of storing, classifying, analyzing, integrating, and disseminating the data and results. New methods of analysis will be necessary to handle the staggering volume of information. Creating data rich, virtual worlds in which to view and integrate data will require advanced computing capability. Data sharing and dissemination will enable broad collaboration, validation and interpretation of complex systems that attempt to understand, model and predict how animals function and interact with their environment at micro and macro scales and over time periods of seconds to centuries. The scientific field of bio-logging will provide basic knowledge on the function of free- ranging organisms at the individual and community level that will be needed to manage and conserve species and their habitats and to mitigate human impacts.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!