This repository supports the paper Incorporating protected areas into global fish biomass projections under climate change

• Juliano Palacios-Abrantes*^1,2, Sarah M. Roberts^3,4, Tim Cashion⁵, Talya ten Brink⁶, William W.L. Cheung¹, Anne Mook⁷ and Tu Nguyen⁸

1. Changing Ocean Research Unit, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada

2. Center for Limnology, University of Wisconsin, Madison, WI, USA

3. Marine Geospatial Ecology Lab, Nicholas School of the Environment and Earth Sciences, Duke University, Durham, NC, USA

4. Department of Earth, Marine, and Environmental Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514

5. Fisheries Economics Research Unit, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada

6. Department of Marine Affairs, University of Rhode Island, Kingston, RI, USA

7. Institute for Research in the Social Sciences, Colorado State University, CO, USA

8. Department of Applied Economics, Oregon State University, Corvallis, OR, USA"

*Corresponding author: Juliano Palacios-Abrantes, j.palacios[at]oceans.ubc.ca

Link to paper: https://www.facetsjournal.com/doi/10.1139/facets-2022-0101

• Evaluate the impacts of climate change to marine conservation in terms of fish biomass within and outise marine reserves

In this repository you will find all of the code related to the manuscript Marine Protected Areas Can Reduce Localized Losses to Fisheries Under Climate Change. Note that the code needs data to run. However, due to the large volume of data needed, these are not in GitHub. Please email the authors to discuss other ways to share the data.

• Main_script.Rmd: This is the RMD where you can find all the data analysis for the manuscript including results and figures

• Figures: Manuscript final figures

• Functions: Folder containing functions needed to run the analysis

This repository has been archived and is no longer updated. The master branch contains the most updated version