{
  "id": 19425047,
  "title": "A new tool makes biodiversity conservation planning more efficient and reproducible",
  "url": "https://urgent.news/2026/11/11/a-new-tool-makes-biodiversity-conservation-planning-more-efficient",
  "topic": "science",
  "section": "Science",
  "published": "2026-11-11T01:20:07.000Z",
  "source": {
    "name": "Phys.org",
    "slug": "phys-org",
    "url": "https://phys.org/news/2026-11-tool-biodiversity-efficient.html"
  },
  "original_language": "en",
  "account": "ZonationR is a novel tool designed to streamline and streamline the process of identifying priority areas for biodiversity conservation. Building upon the widely-utilized Zonation software, ZonationR consolidates all stages of the conservation planning analysis into a single, automated workflow. By integrating input preparation, Zonation execution and result analysis, ZonationR enhances efficiency, transparency and reproducibility in conservation planning, particularly when dealing with large, complex datasets and integrated modeling approaches.\n\nTraditionally, running Zonation has been a manual process involving several steps, including preparing input files, running the software through a graphical interface or command line, and processing the results separately. This can be time-consuming and challenging to reproduce, especially when exploring multiple scenarios or conducting repeated analyses. Conservation planning often requires researchers and practitioners to examine how different objectives, methodological choices, and constraints impact priority areas, making the need for a more streamlined approach evident.\n\nZonationR addresses these challenges by bringing the previously separate steps together within a single analytical environment - the R programming language. This automation of input preparation, direct execution of Zonation from R, and provision of tools for processing, visualizing and comparing results, significantly simplifies the workflow. The tool also facilitates examination of conservation priorities from various perspectives, offering features such as visualization of priority maps, assessment of performance metrics, evaluation of conservation costs, determination of species or habitat coverage within priority areas, and measurement of similarities between alternative prioritization solutions.\n\nBy integrating with R, ZonationR enables seamless connection with broader ecological workflows, including species distribution modeling. The ZonationR package website provides comprehensive documentation, step-by-step tutorials, and self-guided learning resources, making it accessible for both researchers and educators. With a wealth of freely available spatial datasets and reproducible examples, users can easily follow workflows and adapt them to their specific research or teaching needs.\n\nZonationR is both free and open-source, with its source code available on GitHub. Installation can be directly achieved from CRAN, ensuring easy access for the conservation planning community. The tool's integration into the Ecography journal article highlights its significance, detailing its capabilities in an Ecography (2026) article. DOI: 10.1002/ecog.08892.",
  "summary": "ZonationR is a new tool that simplifies the use of Zonation to identify priority areas for biodiversity conservation. It brings all stages of the conservation planning analysis together in one automated and reproducible workflow and helps users systematically explore and compare alternative conservation scenarios.",
  "key_points": [
    "ZonationR automates Zonation software workflow into single R environment",
    "Streamlines input preparation, execution and result analysis in conservation planning",
    "Enhances efficiency, transparency and reproducibility in large, complex datasets"
  ],
  "editors_take": "Automating the previously manual Zonation workflow within the R programming language reduces technical barriers for researchers needing to test multiple conservation scenarios with complex ecological datasets.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}