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. 2023 Dec 5;18(12):e0295634. doi: 10.1371/journal.pone.0295634

Correction: Batch-produced, GIS-informed range maps for birds based on provenanced, crowd-sourced data inform conservation assessments

Ryan M Huang, Wilderson Medina, Thomas M Brooks, Stuart H M Butchart, John W Fitzpatrick, Claudia Hermes, Clinton N Jenkins, Alison Johnston, Daniel J Lebbin, Binbin V Li, Natalia Ocampo-Peñuela, Mike Parr, Hannah Wheatley, David A Wiedenfeld, Christopher Wood, Stuart L Pimm
PMCID: PMC10697568  PMID: 38051705

Shortly before this PLOS ONE article [1] was accepted, a similar article was published by Palacio et al. in Diversity and Distributions [2]; a preprint of the Palacio et al. article was posted on bioRxiv in May 2020 [3]. The authors did not cite [3] in [1].

Both articles [1, 2] address similar research questions and use occurrence data, habitat layers, and interpolation methods to build species distribution maps, but they used distinct methods (nearest neighbor interpolation, alpha hulls, and gridded absences in [1] and inverse distance weighting, minimum convex polygons, and point absences in [2]). [2] used occurrence data from an online data repository to create new maps, and [1] combined crowd-sourced presence points with published range maps [4, 5]. Additionally, the PLOS ONE study included more details and discussion of limitations of its reported model as compared to the Diversity and Distributions study, and found that whether species’ area of habitat is larger or smaller than the original range map differs across IUCN Red List categories.

References

  • 1.Huang RM, Medina W, Brooks TM, Butchart SHM, Fitzpatrick JW, Hermes C, et al. (2021) Batch-produced, GIS-informed range maps for birds based on provenanced, crowd-sourced data inform conservation assessments. PLoS ONE 16(11): e0259299. doi: 10.1371/journal.pone.0259299 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Palacio R. D., Negret P. J., Velásquez-Tibatá J., & Jacobson A. P. (2021). A data-driven geospatial workflow to map species distributions for conservation assessments. Diversity and Distributions, 27, 2559–2570. doi: 10.1111/ddi.13424 [DOI] [Google Scholar]
  • 3.A data-driven geospatial workflow to improve mapping species distributions and assessing extinction risk under the IUCN Red List Ruben Dario Palacio, Pablo Jose Negret, Jorge Velásquez-Tibatá, Andrew P. Jacobson. bioRxiv 2020.04.27.064477; 10.1101/2020.04.27.064477 [DOI]
  • 4.IUCN. The IUCN Red List of Threatened Species; www.iucnredlist.org. 2021.
  • 5.BirdLife International and Handbook of the Birds of the World (2019) Bird species distribution maps of the world. Version 2019.1. http://datazone.birdlife.org/species/requestdis

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