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Correction: Using fuzzy logic to compare species distribution models developed on the basis of expert knowledge and sampling records
Frontiers in Zoology ( IF 2.6 ) Pub Date : 2024-06-25 , DOI: 10.1186/s12983-024-00539-x
David Romero 1 , Raúl Maneyro 2 , José Carlos Guerrero 3 , Raimundo Real 1
Affiliation  

Correction: Front Zool 20, 38 (2023)

https://doi.org/10.1186/s12983-023-00515-x


Following publication of the original article [1], the authors reported that the link to the data repository is missing in section Availability of data and materials.

The original content of Availability of data and materials was:

The dataset supporting the conclusions of this article will be made available through a data repository.

The correction content should read:

The dataset supporting the conclusions of this article is available at https://doi.org/10.5061/dryad.0k6djhb6g.

The original article [1] has been updated.

  1. Romero D, Maneyro R, Guerrero JC, et al. Using fuzzy logic to compare species distribution models developed on the basis of expert knowledge and sampling records. Front Zool. 2023;20:38. https://doi.org/10.1186/s12983-023-00515-x.

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Authors and Affiliations

  1. Biogeography, Diversity, and Conservation Research Team, Department of Animal Biology, Faculty of Sciences, Universidad de Málaga, Málaga, Spain

    David Romero & Raimundo Real

  2. Laboratory of Systematics and Natural History of Vertebrates, Faculty of Sciences, Universidad de La República, Montevideo, Uruguay

    Raúl Maneyro

  3. Laboratory for Sustainable Development and Environmental Management, Faculty of Sciences, Universidad de La República, Montevideo, Uruguay

    José Carlos Guerrero

Authors
  1. David RomeroView author publications

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  2. Raúl ManeyroView author publications

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  3. José Carlos GuerreroView author publications

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  4. Raimundo RealView author publications

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Corresponding author

Correspondence to David Romero.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Romero, D., Maneyro, R., Guerrero, J.C. et al. Correction: Using fuzzy logic to compare species distribution models developed on the basis of expert knowledge and sampling records. Front Zool 21, 18 (2024). https://doi.org/10.1186/s12983-024-00539-x

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  • DOI: https://doi.org/10.1186/s12983-024-00539-x

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中文翻译:


修正:使用模糊逻辑来比较基于专家知识和采样记录开发的物种分布模型



更正前动物园 20, 38 (2023)

https://doi.org/10.1186/s12983-023-00515-x



在原始文章 [1] 发表后,作者报告说,数据和材料的可用性部分中缺少数据存储库的链接。


数据和材料的可用性的原始内容是:


支持本文结论的数据集将通过数据存储库提供。


更正内容应为:


支持本文结论的数据集可在 https://doi.org/10.5061/dryad.0k6djhb6g 上获取。


原文章[1]已更新。


  1. 文章 PubMed PubMed Central Google Scholar

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 作者和单位


  1. 马拉加大学理学院动物生物学系生物地理学、多样性和保护研究小组,西班牙马拉加


    大卫·罗梅罗 & 雷蒙多·雷亚尔


  2. 乌拉圭蒙得维的亚共和国大学理学院脊椎动物系统学和自然史实验室

     劳尔·马内罗


  3. 乌拉圭蒙得维的亚共和大学理学院可持续发展与环境管理实验室

     何塞·卡洛斯·格雷罗

 作者

  1. 大卫·罗梅罗查看作者出版物


    您也可以在PubMed中搜索该作者 谷歌学术


  2. 劳尔·马内罗查看作者出版物


    您也可以在PubMed中搜索该作者 谷歌学术


  3. 何塞·卡洛斯·格雷罗查看作者出版物


    您也可以在PubMed中搜索该作者 谷歌学术


  4. Raimundo Real查看作者出版物


    您也可以在PubMed中搜索该作者 谷歌学术

 通讯作者


通讯作者:大卫·罗梅罗。


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罗梅罗,D.,马内罗,R.,格雷罗,JC等人。修正:使用模糊逻辑来比较根据专家知识和抽样记录开发的物种分布模型。前动物园21 , 18 (2024)。 https://doi.org/10.1186/s12983-024-00539-x

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更新日期:2024-06-25
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