ArticleConservation biology : the journal of the Society for Conservation Biology2025
Systematic conservation prioritization with the prioritizr R package.
Article in Conservation biology : the journal of the Society for Conservation Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
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- Guiding stakeholder negotiations in data-poor coastal planning with open-access spatial data.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- Including Fitness and Health Proxies Can Alter Our Understanding of Habitat Selection.Ecology letters · 2026Review
- Social implications of the 30×30 global conservation target.Nature communications · 2026Article
- Informing spatial conservation prioritization with species' traits.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- Balancing land use for conservation, agriculture, and renewable energy.Nature communications · 2026Article
- Land tenure contributions to protected area growth under alternative conservation targets in the Australian monsoon tropics.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- Safeguarding climate-resilient mangroves requires only a moderate increase in the global protected area.Nature communications · 2026Article
- Adapting a systematic conservation planning tool for supporting accessible and diverse urban greenspace recreation.Landscape ecology · 2026Article
- Article
- Identifying priority areas for conservation to promote connectivity and mitigate the impacts of anthropogenic disturbance.Conservation biology : the journal of the Society for Conservation Biology · 2025Article
- Modeling nature-based restoration potential across aquatic-terrestrial boundaries.Conservation biology : the journal of the Society for Conservation Biology · 2025Article
- Different Data for Different Goals: Exploring Trade-Offs and Synergies in the Use of Spatial Data Inputs to Optimize Conservation Action in Sagebrush Ecosystems.Ecology and evolution · 2025Article
- Important Shark and Ray Areas can inform conservation planning in the Mediterranean and Black Seas.iScience · 2025Article
- Potential risk of dipterocarps in the marginal Asian rainforests: low population size and high genomic erosion.BMC biology · 2025Article
- Advancing at-risk species recovery planning in an era of rapid ecological change with a transparent, flexible, and expert-engaged approach.Conservation biology : the journal of the Society for Conservation Biology · 2025Article
- Systematic conservation planning for nature recovery.Bioscience · 2025Article
- Meeting European Union biodiversity targets under future land-use demands.Nature ecology & evolution · 2025Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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 outlined how the prioritizr R package (https://prioritizr.net) can be used 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. We also conducted a benchmark analysis to examine the performance of different solvers. The prioritization identified 12,400 km
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