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<p>Mapping species distributions is crucial to support effective conservation efforts, especially in the Neotropics, which are experiencing rapid and large-scale habitat conversion and degradation. Area of Habitat (AOH) maps have emerged as spatial tools for representing species distributions, indicating potential habitat suitability within a species’ range. We developed AOH maps for 713 neotropical bird species of conservation concern (listed as globally or nationally threatened, endemic, or range-restricted) using primary biodiversity data and a data-driven geospatial workflow. We employed a flagging protocol to improve the quality of approximately 2.5 million occurrence records and manually inspected and validated 50,743 of them. This unparalleled effort led to the creation of high-quality AOH maps, along with altitude-corrected Extent of Occurrence (EOO) and Inverse Distance Weighted (IDW) range maps. Our AOH maps significantly improved species distribution predictions for 94% of species over altitude-corrected EOO maps. The utility of the AOH maps generated here is broad, providing a basis for ecological and evolutionary research as well as the identification of critical areas to prioritize conservation efforts.</p>

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Area of habitat maps and validated occurrences for neotropical birds of conservation concern

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月1日

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  • Jhan C. Carrillo-Restrepo,
  • Daniela Linero-Triana,
  • Sebastian K. Herzog,
  • Jorge I. Velásquez-Tibatá

摘要

Mapping species distributions is crucial to support effective conservation efforts, especially in the Neotropics, which are experiencing rapid and large-scale habitat conversion and degradation. Area of Habitat (AOH) maps have emerged as spatial tools for representing species distributions, indicating potential habitat suitability within a species’ range. We developed AOH maps for 713 neotropical bird species of conservation concern (listed as globally or nationally threatened, endemic, or range-restricted) using primary biodiversity data and a data-driven geospatial workflow. We employed a flagging protocol to improve the quality of approximately 2.5 million occurrence records and manually inspected and validated 50,743 of them. This unparalleled effort led to the creation of high-quality AOH maps, along with altitude-corrected Extent of Occurrence (EOO) and Inverse Distance Weighted (IDW) range maps. Our AOH maps significantly improved species distribution predictions for 94% of species over altitude-corrected EOO maps. The utility of the AOH maps generated here is broad, providing a basis for ecological and evolutionary research as well as the identification of critical areas to prioritize conservation efforts.