José F. Aldana-Martín , David J. Russell , Carlos A. Martínez-Muñoz , Christine Driller , Stephan Lesch , Ismael Navas-Delgado
{"title":"推进土壤生物学研究:增强欧洲数据库的本体论框架,以增强土壤生物多样性数据的数据集成","authors":"José F. Aldana-Martín , David J. Russell , Carlos A. Martínez-Muñoz , Christine Driller , Stephan Lesch , Ismael Navas-Delgado","doi":"10.1016/j.ecoinf.2025.103356","DOIUrl":null,"url":null,"abstract":"<div><div>Recognizing soil biodiversity’s critical role in soil quality and health has gained prominence in environmental policy and research. There is a pressing need to integrate taxonomic data with functional traits to understand the functional significance of soil biodiversity and its distribution across various environmental contexts. This long-term goal can only be achieved after comprehensive taxonomy ontologies are in place.</div><div>Ontologies are a powerful tool to facilitate database interoperability, ensuring a seamless connection between diverse datasets. Adopting ontologies aligns with the FAIR principles, enhancing data discoverability, accessibility, and machine-readability. In biology, ontologies offer a robust framework for formalizing complex relationships between taxa, traits, and environments. Repositories like the OBO Foundry and NCBO BioPortal further promote the integration of controlled bioscientific vocabularies. However, careful selection of vocabulary is essential to ensure effective interoperability among ontologies, especially when dealing with closely related taxa.</div><div>While databases like Edaphobase provide comprehensive taxonomic information for soil invertebrate animals, they lack specific ontologies for the underlying taxonomic structure. This research addresses this gap by proposing the EUdaphobase Taxonomy Ontology (EUTaxO) tailored to soil biology taxonomy. As Edaphobase is continuously updated to accommodate changes in taxonomic classifications, the related EUTaxO will require maintenance. This work presents an automated pipeline to synchronize the proposed ontology with Edaphobase’s classification.</div><div>The integration of observational databases, such as Edaphobase, with domain-specific trait databases will enable the aggregation of species into functional or ecological groups based on traits. This integration, primarily reliant on taxonomic characteristics, will be critical in evaluating the spatio-temporal distribution of functional soil biodiversity across diverse habitats, soil types, climate zones, and land-use patterns.</div></div>","PeriodicalId":51024,"journal":{"name":"Ecological Informatics","volume":"91 ","pages":"Article 103356"},"PeriodicalIF":7.3000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing soil biology research: Empowering European databases with ontological frameworks for enhanced data integration of soil biodiversity data\",\"authors\":\"José F. Aldana-Martín , David J. Russell , Carlos A. 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Repositories like the OBO Foundry and NCBO BioPortal further promote the integration of controlled bioscientific vocabularies. However, careful selection of vocabulary is essential to ensure effective interoperability among ontologies, especially when dealing with closely related taxa.</div><div>While databases like Edaphobase provide comprehensive taxonomic information for soil invertebrate animals, they lack specific ontologies for the underlying taxonomic structure. This research addresses this gap by proposing the EUdaphobase Taxonomy Ontology (EUTaxO) tailored to soil biology taxonomy. As Edaphobase is continuously updated to accommodate changes in taxonomic classifications, the related EUTaxO will require maintenance. This work presents an automated pipeline to synchronize the proposed ontology with Edaphobase’s classification.</div><div>The integration of observational databases, such as Edaphobase, with domain-specific trait databases will enable the aggregation of species into functional or ecological groups based on traits. This integration, primarily reliant on taxonomic characteristics, will be critical in evaluating the spatio-temporal distribution of functional soil biodiversity across diverse habitats, soil types, climate zones, and land-use patterns.</div></div>\",\"PeriodicalId\":51024,\"journal\":{\"name\":\"Ecological Informatics\",\"volume\":\"91 \",\"pages\":\"Article 103356\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2025-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Informatics\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1574954125003656\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Informatics","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1574954125003656","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
Advancing soil biology research: Empowering European databases with ontological frameworks for enhanced data integration of soil biodiversity data
Recognizing soil biodiversity’s critical role in soil quality and health has gained prominence in environmental policy and research. There is a pressing need to integrate taxonomic data with functional traits to understand the functional significance of soil biodiversity and its distribution across various environmental contexts. This long-term goal can only be achieved after comprehensive taxonomy ontologies are in place.
Ontologies are a powerful tool to facilitate database interoperability, ensuring a seamless connection between diverse datasets. Adopting ontologies aligns with the FAIR principles, enhancing data discoverability, accessibility, and machine-readability. In biology, ontologies offer a robust framework for formalizing complex relationships between taxa, traits, and environments. Repositories like the OBO Foundry and NCBO BioPortal further promote the integration of controlled bioscientific vocabularies. However, careful selection of vocabulary is essential to ensure effective interoperability among ontologies, especially when dealing with closely related taxa.
While databases like Edaphobase provide comprehensive taxonomic information for soil invertebrate animals, they lack specific ontologies for the underlying taxonomic structure. This research addresses this gap by proposing the EUdaphobase Taxonomy Ontology (EUTaxO) tailored to soil biology taxonomy. As Edaphobase is continuously updated to accommodate changes in taxonomic classifications, the related EUTaxO will require maintenance. This work presents an automated pipeline to synchronize the proposed ontology with Edaphobase’s classification.
The integration of observational databases, such as Edaphobase, with domain-specific trait databases will enable the aggregation of species into functional or ecological groups based on traits. This integration, primarily reliant on taxonomic characteristics, will be critical in evaluating the spatio-temporal distribution of functional soil biodiversity across diverse habitats, soil types, climate zones, and land-use patterns.
期刊介绍:
The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change.
The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.