QMLGJan 3, 2023

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

arXiv:2301.01103v119 citationsh-index: 21
Originality Synthesis-oriented
AI Analysis

It addresses conservation challenges for biodiversity and sustainability, but is incremental as it builds on existing interdisciplinary collaborations.

The paper tackles the need for conservation technology tools designed with human-wildlife interaction in mind, presenting a framework and case studies from simple collars to machine learning methods to guide researchers and educators in the field.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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