article · Zenodo (CERN European Organization for Nuclear Research) · 2024

Code and data for "Systematic conservation prioritization with the prioritizr R package"

Hanson, Jeffrey O, Schuster, Richard, Strimas-Mackey, Matthew, Morrell, Nina, Edwards, Brandon P M, Arcese, Peter, Bennett, Joseph R, Possingham, Hugh P

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Abstract

Plans for expanding protected area systems (prioritizations) need to fulfill conservation objectives. They also need to account for other factors, such as economic feasibility and anthropogenic land use requirements. Although prioritizations are often generated with decision support tools, most tools have limitations that hinder their use for decision-making. We outline the prioritizr R package (https://prioritizr.net) for systematic conservation prioritization. This decision support tool provides a flexible interface to build conservation planning problems. It can leverage a variety of commercial (e.g., Gurobi) and open source (e.g., CBC and SYMPHONY) exact algorithm solvers to identify optimal solutions in a short period. It is also compatible with a variety of spatially explicit (e.g., ESRI Shapefile, GeoTIFF) and nonspatial tabular (e.g., Microsoft Excel Spreadsheet) data formats. Additionally, it provides functionality for evaluating prioritizations, such as assessing the relative importance of different places selected by a prioritization. To showcase the prioritizr R package, we applied it to a case study based in Washington State (United States) for which we developed a prioritization to improve protected area coverage of native avifauna. We accounted for land acquisition costs, existing protected areas, places that might not be suitable for protected area establishment, and spatial fragmentation. The prioritization identified 12,400 km2 of priority areas for increasing the percentage of species’ distributions covered by protected areas. We also conducted a benchmark analysis to examine the performance of different solvers. Although open source and commercial solvers were able to quickly solve large-scale conservation planning problems, commercial solvers were required for complex, large-scale problems. The prioritizr R package is available on the Comprehensive R Archive Network (CRAN). In addition to reserve selection, it can inform habitat restoration, connectivity enhancement, and ecosystem service provisioning. It has been used in numerous conservation planning exercises to inform best practices and aid real world decision-making.

Cite this paper

APA 7

Hanson, J. O., Schuster, R., Strimas-Mackey, M., Morrell, N., Edwards, B. P. M., Arcese, P., Bennett, J. R., & Possingham, H. P. (2024). Code and data for "Systematic conservation prioritization with the prioritizr R package". Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.4079822

MLA 9

Hanson, Jeffrey O, et al. “Code and data for "Systematic conservation prioritization with the prioritizr R package".” Zenodo (CERN European Organization for Nuclear Research), 2024, https://doi.org/10.5281/zenodo.4079822.

Chicago

Hanson, Jeffrey O, Richard Schuster, Matthew Strimas-Mackey, Nina Morrell, Brandon P M Edwards, Peter Arcese, Joseph R Bennett, and Hugh P Possingham. 2024. “Code and data for "Systematic conservation prioritization with the prioritizr R package".” Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.4079822.

Harvard

Hanson, J.O. et al. (2024) ‘Code and data for "Systematic conservation prioritization with the prioritizr R package"’, Zenodo (CERN European Organization for Nuclear Research). Available at: https://doi.org/10.5281/zenodo.4079822.

BibTeX

@article{hanson2024code,
  title = {{Code and data for "Systematic conservation prioritization with the prioritizr R package"}},
  author = {Hanson, Jeffrey O and Schuster, Richard and Strimas-Mackey, Matthew and Morrell, Nina and Edwards, Brandon P M and Arcese, Peter and Bennett, Joseph R and Possingham, Hugh P},
  journal = {Zenodo (CERN European Organization for Nuclear Research)},
  year = {2024},
  doi = {10.5281/zenodo.4079822}
}

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