Distribution of xylotrophic fungi of the genus Daedaleopsis in the Asian part of Russia from 1978 to 2019

Study Extent

The database includes the information of the diffusion of D. confragosa, D. septentrionalis, D. tricolor on the extensive territory from the Urals in the West to the Pacific ocean in the East. This dataset is prepared based on the results of the authors’ research and provides information on the spread of the Daedaleopsis genus species in 17 regions of the Russian Federation. As a rule, research areas are randomly located, and no regular grid research has been attempted.

Sampling

The samples were largely collected with the help of route census technique. The identification of xylotrophic fungi species was made from 1978 to 2019. The collection of basidiocarps, their herborization were carried out according to standard mycological methods. Sampling techniques follow the Mueller et al. protocols (2004). To create a collection, a control redefinition of previously harvested samples was performed based on morphological and anatomical characteristics used in fungi diagnostics.

Quality Control

The data were collected and processed by specialists of Ural Federal University (UFU) and Institute of Plant and Animal Ecology (IPAE). The geographical coordinates for the samples were obtained with different accuracy, depending on the way the location of the sample was fixed. The quality of the geographical reference presented in the herbarium was assessed as follows: 1) the coordinate of the finds presented in the collection gave an uncertainty of about 100 meters (for newer finds: 2016-2019, since the coordinates were recorded using the Navigator; 2) the coordinate of the fieldwork location given in the collection gave an uncertainty of about 1000 m (for samples from 1978-2007), since the location was recorded according to physical maps, and then verified using Google map services (https://maps.google.ru/maps).

Method steps

1. The database consisted of the fungi samples of the Daedaleopsis genus. The dataset contains information about the herbarium samples.
2. The database layout was accomplished with the help of Microsoft Excel.
3. All samples were linked to the area either by the coordinates indicated on the labels or by a verbal description of the field work site. Verbal descriptions linking as well as the existing coordinates checking were performed via Google map services (https://maps.google.ru/maps).
4. The accuracy of coordinates was described according to the instruction presented above (see Section “Quality control”).
5. The names of settlements given in Russian were translated into English and entered in the field “locality”. Russian descriptions were fixed in the field “verbatim Locality”.
6. If possible, the full date of the sample collection “event Date” was taken from the label. When the accurate information was not available only the year “year” was indicated.
7. Taxonomic belonging of the samples was marked in the fields “kingdom”, “phylum”, “class”, “family”, “genus”, “scientific Name”. The factual information on the relevance of the species’ name was checked in Index Fungorum (http://www.indexfungorum.org/).
8. The substrate association of the samples was written down in the field “associated Taxa”.
9. To obtain additional information about phylogenic research and publications where these samples were mentioned the reference was made in the field “associated Sequences” and “associated References”.

The list involves three species of xylotrophic basidiomycetes: D. confragosa (Bolton) J. Schröt., D. septentrionalis (P. Karst.) Niemelä, D. tricolor (Bull.) Bondartsev & Singer

1. BASIDIOMYCOTA
   rank: phylum
2. Agaricomycetes
   rank: class

The dataset is restricted by the administrative borders of 17 regions: Komi Republic, Perm Krai, the Sverdlovsk Oblast, the Chelyabinsk Oblast, Republic of Bashkortostan, the Tyumen Oblast, Yamalo-Nenets Autonomous Okrug, Khanty-Mansi Autonomous Okrug, Kamchatka Krai, Primorsky Krai, Sakhalin Oblast, the Republic of Sakha (Yakutia), the Irkutsk Oblast, Kurgan Oblast, Altai Republic, Krasnoyarsk Oblast, Magadan Oblast. Physical and geographical conditions of the investigated territories of Russia create a wide variety of landscapes and climatic zones (from temperate - continental to harsh-continental climate). The terrain is also varied: the research was conducted both in lowlands and in the regions with the prevailing mountainous terrain.