English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Conservation Tools: The Next Generation of Engineering - Biology Collaborations

MPS-Authors
/persons/resource/persons304262

Schulz,  Andrew K.       
Dept. Haptic Intelligence, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Schulz, A. K., Shriver, C., Stathatos, S., Seleb, B., Weigel, E., Chang, Y.-H., et al. (2023). Conservation Tools: The Next Generation of Engineering - Biology Collaborations. Journal of the Royal Society Interface, 20(205): 20230232. doi:10.1098/rsif.2023.0232.


Cite as: https://hdl.handle.net/21.11116/0000-0010-79FD-A
Abstract
The recent increase in public and academic interest in preserving biodiversity has led to the growth of the field of conservation technology. This field involves designing and constructing tools that utilize technology to aid in wildlife conservation. In this review, we present five case studies and infer a framework for designing conservation tools based on human-wildlife interaction. Successful conservation tools range in complexity from cat collars to machine learning and game theory methodologies and do not require technological expertise to contribute to conservation tool creation. We aim to introduce researchers to conservation technology and provide references for guiding the next generation of conservation technologists. Conservation technology has the potential to benefit biodiversity and have broader impacts on fields such as sustainability and environmental protection. By using innovative technologies to address conservation challenges, we can find more effective and efficient solutions to protect and preserve our planet's resources.