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Contributors:
  1. Peter Steinberg

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Description: This project is focused on using data science and conservation decision making to inform kelp restoration efforts. The key component is a kelp (orders Laminariales, Fucales, Desmarestiales) restoration database which synthesizes past restoration efforts and tell us, among other things: - How successful attempts have been - How costly - What factors lead to success or failure - What is being done - Where is it located - What motivates people This work includes published, non-published, English, and Non-English literature and sources. See README for further information The project will create a living database for future restoration efforts to be added to and we will create a guidebook for the best practices in kelp reforestation based up the results. It is a highly collaborative effort and anyone is welcome to contribute, the main goal is to connect people with the required data and improve our chances of restoring kelp forests. If you are interested in participating, please contact me at aaron.eger@unsw.edu.au

License: CC-By Attribution 4.0 International

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