Biodiversity Data Journal :
Data Paper (Biosciences)
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Corresponding author: Nataliya Kuznetsova (mpnk@yandex.ru), Natalya Ivanova (natalya.dryomys@gmail.com)
Academic editor: Nina Filippova
Received: 01 Oct 2021 | Accepted: 14 Nov 2021 | Published: 19 Nov 2021
© 2021 Nataliya Kuznetsova, Anna Bokova, Alexander Kuprin, Mikhail Potapov, Yulia Shveenkova, Natalya Ivanova
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Kuznetsova N, Bokova A, Kuprin A, Potapov M, Shveenkova Y, Ivanova N (2021) The extremely high diversity of Collembola in relict forests of Primorskii Krai of Russia. Biodiversity Data Journal 9: e76007. https://doi.org/10.3897/BDJ.9.e76007
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The diversity of soil animals of relict forest ecosystems in East Asia continues to be insufficiently studied and almost not represented in international databases, including GBIF. This article is based on 7550 records of 175 species which were collected in Ussuriiskii, Sikhote-Alinskii and Kedrovaya Pad’ natural reserves of Russian Far East in 2016–2017. A multi-scale sampling design allowed us to estimate population densities and local species richness of Collembola at areas of different sizes. The work continues the digitization of the collections of the Moscow Pedagogical State University (MPSU) and their publication through GBIF.org, which began in 2019. This article is based on original data including 2377 specimens of springtails from eight forests and 648 soil cores.
Within the framework of modern taxonomy, this work represents the first publication of lists of Collembola species of forests of Primorsky Krai. The work focused on the relict protected cedar-deciduous forests. Nine species new to science were described and data on the fauna of the region were significantly revised. Considerable contribution was made to the biogeography of Collembola of East Asia. The design of the sampling allowed us to draw conclusions about the species saturation of springtails at various spatial scales within the habitat: from a few square cm to 100 sq. m. Number of species reached record high values reflecting the benchmark state of Collembola communities of undisturbed old temperate forest ecosystems.
sampling event, springtails, soil fauna, mesofauna, microarthropods, broad-leaf – cedar pine forests, natural reserves, multi-scale sampling design, species richness, population density, Ussuriiskii natural reserve, Sikhote-Alinskii natural reserve, Kedrovaya Pad’ natural reserve
Collembola, or springtails, is one of the most abundant and diverse groups of soil microarthropods that play an important role in the processes of destruction of organic residues (
Regular research of Collembola in the south of the Primorskii Krai of Russia began about half a century ago showing a great originality of the fauna (e.g.
We collected springtails in the region in the years 2016–2017. The data from 2016 was published (
The purpose of the paper is to present information on species composition and abundances of Collembola in relict broad-leaf – cedar pine forest ecosystems of the Russian Far East. Diversity and аbundance are presented in the most detailed form of sampling-evidence.
The dataset (
The sampling was based on a multi-scale design to study the structure of biodiversity at different spatial scales (
Extraction of Collembola from cores: Plastic containers were used for storage and transportation of individual cores (Fig.
Laboratory processing: All the specimens were mounted on slides in Phoera liquid according to a standard procedure (
Sampling plots: Short descriptions of some sampling plots (“Turova”, “Grabovaya”, “Kedrovaya”, “Pikhtovaya”) were published (
The sampling plot “Turova” (Figs
The sampling plot “Grabovaya” (Fig.
The sampling plot “Kedrovaya” is in the Kedrovaya Pad’ natural reserve; it is a cedar pine–fir broadleaved forest on a slope (Pinus koraiensis, Abies holophylla, Tilia mandshurica Rupr. & Maxim., Carpinus cordata etc.); in the undergrowth are five maple species, including Acer tegmentosum and Acer barbinerve; in the above-soil cover are Leptorumohra amurensis, Dryopteris crassirhizoma Nakai, Maianthemum dilatatum (Alph.Wood) A.Nelson & J.F.Macbr., Oxalis acetosella etc. The dead cover ~ 50% and the litter thickness is 4 cm.
The sampling plot “Pikhtovaya” is in the Kedrovaya Pad’ natural reserve; it is a valley fir and deciduous forest (Abies holophylla, Juglans mandshurica Maxim., Pinus koraiensis etc.); in the undergrowth are Juglans mandshurica, Carpinus cordata, Acer mono Maxim., Acer tegmentosum, Acer mandshuricum etc.; in the above-soil cover are Leptorumohra amurensis, Dryopteris crassirhizoma etc. The dead cover is ~ 50% and the thickness of the litter is 3–4 cm.
The sampling plot “Fauri” (Figs
The sampling plot “Kema” is nearby the Sikhote-Alinskii natural reserve, in the valley of Brusnichnaya River (tributory of the Kema); it is mixed forest (Pinus koraiensis, Populus maximowiczii A.Henry, Picea jezoensis, Ulmus glabra Huds., Abies nephrolepis); in the undergrowth are Acer mono, Acer barbinerve, Acer tegmentosum, Philadelphus tenuifolius Rupr. & Maxim., Eleutherococcus senticosus etc.; in the above-soil cover are Leptorumohra amurensis, Oxalis acetosella, Maianthemum bifolium, Carex siderosticta Hance, Cardamine leucantha (Tausch) O.E.Schulz, Cacalia hastata L. etc. The dead cover is 5–65% and the thickness of the litter is 7–10 cm.
The sampling plot “Chuguev” (Figs
The sampling plot “Anikin” is in the Ussuriyskii natural reserve, Suvorovskoye forest district, Anikinsky station, valley of Anikin River; it is valley broadleaf forest (Juglans mandshurica, Populus maximowiczii, Fraxinus mandshurica) with Pinus koraiensis; in the above-soil cover are Carex L., Leptorumohra amurensis etc. The dead cover is 50–90% and the thickness of the litter is 3–4 cm.
We used both modern taxonomic papers and keys (
Data on species were digitised, standardised according to the Darwin Core (
Primorskii Krai of the Russian Far East (Fig.
Geographic coverage. Study areas in the Primorskii Kraii (
43.115 and 45.648 Latitude; 131.487 and 137.01 Longitude.
So far, the taxonomical knowledge of different families and genera of Collembola is highly irregular in the area under study. Our identification of particular groups of Collembola, therefore, considerably depended on taxa. The species of Neelidae, Symphypleona, Lepidocyrtinae and Entomobryini were identified, based on the appearance (body size, colour pattern, length of limbs and other easily recognisable features), other taxa - on modern taxonomy, family Tomoceridae - on traditional characters. Families Hypogastruridae, Onychiuridae and Isotomidae were identified down mostly to species level, while the genera Isotoma and Desoria still are less certain and were differentiated as morpho-species (sp. 1, sp. 2 etc). Family Odontellidae is less understood in the area and so it was mostly represented by the "sp." in the list. Some species were described as new to science in the material: Anurida - 6 spp. n. (
Rank | Scientific Name |
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phylum | Arthropoda |
class | Collembola |
Column label | Column description |
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eventID | An identifier for the event https://dwc.tdwg.org/terms/#dwc:eventID |
samplingProtocol | Sampling protocol (Tullgren funnels) https://dwc.tdwg.org/terms/#dwc:samplingProtocol See details in the Sampling methods section. |
sampleSizeValue | Size of the sampling core (8 cm2). https://dwc.tdwg.org/terms/#dwc:sampleSizeValue See details in the Sampling methods section. |
sampleSizeUnit | The unit of measurement of the size sampling core (cm2) https://dwc.tdwg.org/terms/#dwc:sampleSizeUnit See details in the Sampling methods section. |
decimalLatitude | The geographic latitude in decimal degrees of the geographic centre of the data sampling place. https://dwc.tdwg.org/terms/#dwc:decimalLatitude |
decimalLongitude | The geographic longitude in decimal degrees of the geographic centre of the data sampling place. https://dwc.tdwg.org/terms/#dwc:decimalLongitude |
geodeticDatum | Spatial reference system (SRS) upon which the geographic coordinates given in decimalLatitude and decimalLongitude are based. https://dwc.tdwg.org/terms/#dwc:geodeticDatum |
coordinateUncertaintyInMetres | The maximum uncertainty distance in metres. https://dwc.tdwg.org/terms/#dwc:coordinateUncertaintyInMeters |
coordinatePrecision | The fraction of a degree corresponding to the number of significant digits in the source coordinates. https://dwc.tdwg.org/terms/#dwc:coordinatePrecision |
country | Country name (Russian Federation). https://dwc.tdwg.org/terms/#dwc:country |
countryCode | The standard code for the Russian Federation according to ISO 3166-1-alpha-2 (RU). https://dwc.tdwg.org/terms/#dwc:countryCode |
stateProvince | Region name. The first level administrative division. https://dwc.tdwg.org/terms/#dwc:stateProvince |
locality | The specific description of the place. https://dwc.tdwg.org/terms/#dwc:locality |
locationID | An identifier for the set of location information https://dwc.tdwg.org/terms/#dwc:locationID We used this term to link cores (events) in the sampling plot. |
habitat | A description of the habitat in which the Event occurred https://dwc.tdwg.org/terms/#dwciri:habitat We indicated habitat type as a landscape position (valley or mountain) and tree species dominates in the canopy. |
verbatimEventDate | The verbatim original date of the Event occurred. https://dwc.tdwg.org/terms/#dwc:verbatimEventDate |
year | The four-digit year of the Event occurred. https://dwc.tdwg.org/terms/#dwc:year |
month | The integer month of the Event occurred. https://dwc.tdwg.org/terms/#dwc:month |
day | The integer day of the month of the Event occurred. https://dwc.tdwg.org/terms/#dwc:day |
eventDate | Field data collection date (YYYY-MM-DD). https://dwc.tdwg.org/terms/#dwc:eventDate |
institutionCode | The acronym of the Institute. https://dwc.tdwg.org/terms/#dwc:institutionCode |
institutionID | An identifier for the institution having custody of the object(s) or information referred to in the record. https://dwc.tdwg.org/terms/#dwc:institutionID |
basisOfRecord | Basis of the record (PreservedSpecimen). https://dwc.tdwg.org/terms/#dwc:basisOfRecord |
occurrenceID | An identifier for the record. https://dwc.tdwg.org/terms/#dwc:occurrenceID |
identificationRemarks | Original identification. The dwc: verbatimIdentification was not used because it is currently not supported on the IPT. https://dwc.tdwg.org/terms/#dwc:identificationRemarks |
scientificName | Scientific name. https://dwc.tdwg.org/terms/#dwc:scientificName |
identificationQualifier | A brief phrase or a standard term ("cf.", "aff.") to express the determiner's doubts about the Identification. https://dwc.tdwg.org/terms/#dwc:identificationQualifier |
taxonRank | The taxonomic rank. https://dwc.tdwg.org/terms/#dwc:taxonRank |
kingdom | The full scientific name of the kingdom (Animalia). https://dwc.tdwg.org/terms/#dwc:kingdom |
phylum | The full scientific name of the phylum. https://dwc.tdwg.org/terms/#dwc:phylum |
class | The full scientific name of the class. https://dwc.tdwg.org/terms/#dwc:class |
identifiedBy | List of persons, who identified collected Collembola. https://dwc.tdwg.org/terms/#dwc:identifiedBy |
identificationReferences | DOI of refererences used in the identification. Used for taxa, which did not match the GBIF Backbone. https://dwc.tdwg.org/terms/#dwc:identificationReferences |
lifeStage | The life stage of individuals. Here it is used for juvenile individuals indicated. https://dwc.tdwg.org/terms/#dwc:lifeStag |
individualCount | The number of individuals represented in the core. https://dwc.tdwg.org/terms/#dwc:individualCount |
occurrenceStatus | A statement about the presence or absence of a Taxon at a Location. https://dwc.tdwg.org/terms/#dwc:occurrenceStatus |
language | A language of the resource (EN). https://dwc.tdwg.org/terms/#dc:language |
In total, in the relict forests of the Far East, we found the highest diversity of Сollembola that has ever been observed in the ecosystems of the temperate zone and possibly the world: up to 90 species per area 10 x 10 m (sampling plot). The species saturation reaches 30 species on an area of 8 square centimetres (one core) and can exceed 60 species on 1 square metre (Fig.
The study was funded by the Russian Fund for Basic Research, project 16-04-01228-а. The authors are grateful to Anatoly Babenko for the taxonomical analysis of the part of the material, to Svetlana Bondarchuk for the botanical consultations and to Anna Geraskina and Anastasia Korotkevich who participated in the sampling of the material. We are also thankful to the administration and employees of Ussuriiskii Nature Reserve, Sikhote-Alinskii natural reserve and the national park Zemlya Leoparda (which includes Kedrovaya Pad' nature reserve) for help in conducting field research and to Valeria Makeeva and Maria Antipova for assistance in laboratory processing of samples. We are grateful to reviewers Yuri Mazei and Anastasia Taskaeva for their useful comments. The work of Natalya Ivanova was done within the framework of the Basic Scientific Research theme of the Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences.
The authors declare that they have no conflict of interest.