Rafael Barbizan Sühs, Sílvia R Ziller, Clarissa Alves da Rosa, Patricia B Puechagut, Beloni T P Marterer, Eduardo L H Giehl, Matheus Silva Asth, Carlos H Targino, José Renato Legracie-Jr, Tatiani E Chapla, Rafael Dudeque Zenni
{"title":"Georeferenced database of invasive non-native species occurrences in Brazil.","authors":"Rafael Barbizan Sühs, Sílvia R Ziller, Clarissa Alves da Rosa, Patricia B Puechagut, Beloni T P Marterer, Eduardo L H Giehl, Matheus Silva Asth, Carlos H Targino, José Renato Legracie-Jr, Tatiani E Chapla, Rafael Dudeque Zenni","doi":"10.1038/s41597-025-05904-x","DOIUrl":null,"url":null,"abstract":"<p><p>This dataset presents a comprehensive and validated compilation of 187,160 georeferenced records of 489 invasive species of fauna (Animalia), flora (Plantae), and algae (Chromista) across Brazilian terrestrial, freshwater and marine territories, including islands. The data were obtained through consultations with federal environmental agencies, national and international databases, and scientific publications. All records were reviewed and validated by experts through national and state-level consultations conducted between 2021 and 2024. This effort was carried out within the framework of the project Pró-Espécies: Estratégia Nacional para a Conservação de Espécies Ameaçadas, which aimed to support the conservation of biodiversity and the management of invasive non-native species.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1619"},"PeriodicalIF":6.9000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12500944/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-025-05904-x","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This dataset presents a comprehensive and validated compilation of 187,160 georeferenced records of 489 invasive species of fauna (Animalia), flora (Plantae), and algae (Chromista) across Brazilian terrestrial, freshwater and marine territories, including islands. The data were obtained through consultations with federal environmental agencies, national and international databases, and scientific publications. All records were reviewed and validated by experts through national and state-level consultations conducted between 2021 and 2024. This effort was carried out within the framework of the project Pró-Espécies: Estratégia Nacional para a Conservação de Espécies Ameaçadas, which aimed to support the conservation of biodiversity and the management of invasive non-native species.
期刊介绍：
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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