Conservation Tools: The Next Generation of Engineering--Biology Collaborations

TL;DR

This paper discusses the development of conservation tools that integrate technology and human-wildlife interaction, highlighting case studies from simple devices to advanced machine learning methods to enhance biodiversity preservation.

Contribution

It provides a framework for designing effective conservation tools and demonstrates their importance through diverse case studies, aiding future research and education in conservation technology.

Findings

Case studies illustrate successful conservation tools across complexity levels

Technologies like machine learning and game theory enhance conservation efforts

Framework guides creation of effective, human-centered conservation tools

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 the conservation of wildlife. In this article, we will use case studies to demonstrate the importance of designing conservation tools with human-wildlife interaction in mind and provide a framework for creating successful tools. These case studies include a range of complexities, from simple cat collars to machine learning and game theory methodologies. Our goal is to introduce and inform current and future researchers in the field of conservation technology and provide references for educating the next generation of conservation technologists. Conservation technology not only has the potential to benefit biodiversity but also has 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.