Fungal literature records database of the Northern West Siberia (Russia).

Nina Filippova,Nellya Sedelnikova,Alexander Paukov,Tatiana Tolpysheva,Natalia Ryabitseva,Iraida Stavishenko,Tatiana Makarova,Stanislav Arefyev,Anton Shiryaev,Elena Zvyagina,Vladimir Kapitonov,Victor Mukhin

doi:10.3897/bdj.8.e52963

Abstract

BackgroundMycological research in the Northern part of West Siberia has now become sufficient for review and digitisation as over 460 scientific works have been completed mainly since the beginning of the 20th century. The history of research in the region started from isolated studies at the beginning of the 20th century, but regular and systematic research started from the 1970s. Over the following decades, several dozens of researchers have worked in the area, but the reported occurrences were scattered amongst a broad variety of publications, mainly hardly available. The great need in digitisation and accumulation of fungal records reported in published literature in a standardised regional database has now become evident. The «Fungal records database of the Northern West Siberia» (FuNWS) was initiated in 2016 according to contemporary biodiversity data standards (Darwin Core), to be compatible and accessible by the broad research community. The database has been supplemented ever since by the collective effort of specialists working in the area. According to the database summary report, there are 3358 fungal and fungus-like species revealed in the Northern West Siberia at present. The richest in species number classes are Agaricomycetes (60%) and Lecanoromycetes (33%) with a total of 25 classes represented. The FuNWS database was uploaded to Global Biodiversity Information Facility (GBIF) (Ygra State University Biological Collection publisher) on 11 November 2017 (earlier titled «Fungal Records Database of Yugra, FReDY») to provide open access to the data and its reusability (Filippova et al. 2020).New informationThis publication summarises the results of the digitisation of literature-based occurrence records of fungi and fungus-like organisms initiated in the Northern part of West Siberia for the first time in the history of mycological research. The bibliography of regional mycological publications was created to include about 460 published works (Suppl. material 2). In total, about 140 literature sources were digitised and about 22000 occurrence records were integrated into the FuNWS database (Filippova et al. 2020).

Highlights

This publication summarises the results of the digitisation of literature-based occurrence records of fungi and fungus-like organisms initiated in the Northern part of West Siberia for the first time in the history of mycological research
The mycological research in the Northern part of West Siberia stems from isolated studies in the beginning of the 20th century, yet regular and systematic research only began in the second half of the century
The biodiversity data digitisation and mobilisation programme started in the region recently, bringing the standard approach to biodiversity data storage and their integration into common portals. In line with this programme, we carried out digitisation of literature-based occurrences of fungi reported in the region

Summary

Background

Mycological research in the Northern part of West Siberia has become sufficient for review and digitisation as over 460 scientific works have been completed mainly since the beginning of the 20th century. The great need in digitisation and accumulation of fungal records reported in published literature in a standardised regional database has become evident. According to the database summary report, there are 3358 fungal and fungus-like species revealed in the Northern West Siberia at present. This publication summarises the results of the digitisation of literature-based occurrence records of fungi and fungus-like organisms initiated in the Northern part of West Siberia for the first time in the history of mycological research. About 140 literature sources were digitised and about 22000 occurrence records were integrated into the FuNWS database (Filippova et al 2020).

Introduction

Findings

Sampling methods