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Protocol to discover machine-readable entities of the ecosystem management actions taxonomy
1Sheldon B. Lubar College of Business, University of Wisconsin, Milwaukee, WI, USA.
STAR Protocols
|June 13, 2024
Abstract:
The ecosystem management actions taxonomy (EMAT) consists of actions taken by humans and wildlife that affect an ecosystem. Here, I present a protocol for discovering machine-readable entities of the EMAT. I describe steps for acquiring stories from online locations, collecting them into a story file, and processing them through a software package to extract those actions that match EMAT taxa. I then detail procedures for using the story file to learn new EMAT taxa.
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