Biodiversity Data Journal :
Data Paper (Biosciences)
|
Corresponding author: Ksenia Popova (asarum@mail.ru)
Academic editor: Alexander Sennikov
Received: 26 Oct 2021 | Accepted: 26 Dec 2021 | Published: 06 Jan 2022
© 2022 Ksenia Popova, Anna Razumovskaya
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:
Popova K, Razumovskaya A (2022) Plant occurrences on the Rybachy and the Sredny Peninsulas, Murmansk Region, Russia: a dataset. Biodiversity Data Journal 10: e77094. https://doi.org/10.3897/BDJ.10.e77094
|
The Rybachy and the Sredny Peninsulas are the northernmost part of Murmansk Region in the European part of Russia. While the most part of the Region is covered by boreal forest, the Peninsulas are covered by tundra. The vegetation and flora of Murmansk Region are well studied at present. The Peninsulas were first studied in 1829 by a Finnish botanist Jacob Fellman. The most comprehensive research was conducted in the late 19th - early 20th century. Nevertheless, the species composition of the Peninsulas' flora has changed significantly over the past 100 years due to land use and climate change. The aim of this dataset is to make the data on species occurrences for this territory digitally available via GBIF. To date, more or less complete digital floristic data were provided only by the project for digitising the book "Flora of Murmansk Region" (1953–1966).
The present dataset is a part of the project studying the vegetation of the territory. We recorded the information about species frequency and distribution using the relevé method.
We present a dataset based on 991 relevés from all vegetation types, which includes 16,289 records of georeferenced plant occurrences that belong to 568 species. There are 23 species of lichens (Ascomycota), 142 species of mosses (Bryophyta), three species of liverworts (Marchantiophyta) and 400 species of vascular plants (Tracheophyta) in the present dataset. The taxonomic diversity and unevenness result from the vegetation sampling. The data were collected in 2008, 2009, 2011, 2014 and 2015. The dataset cannot be considered as a complete vegetation database or a flora checklist, but it contains the occurrences and frequencies of the species from all the vegetation types.
vascular plants, databasing, Barents Sea, Murmansk Region, Subarctic, plant distribution
The contemporary studies of biodiversity and biogeography require digital, available, relevant and detailed data (
For our study, we chose the north-westernmost part of the Region - the Rybachy and the Sredny Peninsulas. This territory has a relatively high biodiversity and is valuable in terms of nature conservation.
The Peninsulas were first studied in 1829 by a Finnish botanist Jacob Fellman (
The flora and vegetation of the western part of Murmansk Region were most thoroughly studied in the late 19th - early 20th centuries (
The largest occurrence dataset of cryptogam organisms in Russia is CRIS (
Thus, more digital data on the distribution of plants in the study area are still required for a better coverage in GBIF.
Our dataset contributes to studying plant species distribution (mostly vascular) on the Rybachy and the Sredny Peninsulas (
This work is a spin-off project of our long-term studies of the vegetation of the Peninsulas. A total of 991 relevés were compiled using the Braun-Blanquet approach (
The preliminary results suggest the existence of 20 vegetation classes (
Thus, our data cover the whole diversity of plant communities on the Rybachy and the Sredny Peninsulas. Most of the species in the dataset are diagnostic for different syntaxa (
The Rybachy and the Sredny Peninsulas are situated at the 69th latitude and washed by the Barents Sea (Fig.
Geological structure. The Peninsulas' bedrocks consist of upper Proterozoic solid rocks, such as sandstones, shales and conglomerates. It makes them different from the mainland coast of Murmansk Region, which generally consists of granites and granitoids. Pre-Quaternary deposits form the most part of Rybachy Peninsula's coast. The Peninsulas' inland is built up with glacial deposits of the Last Glacial Period, which are mainly sandy loam and loamy with rubble or boulders with lenses and interlayers of sand and clay. The Rybachy and the Sredny Peninsulas are mostly similar to the Varanger Peninsula (Finnmark, Norway) due to the geological structure of the bedrocks (
Landscape. The inland high plains rise up to 200-300 m. The coast is abrasional and has the pediment plain up to 50 m in altitude (
Climate. The climate is oceanic, influenced by the southern extension of the Nord Cape stream making it milder than the climate of the Kola Peninsula. According to the data received from the Vaida-Guba (Fig.
Soil cover. The Peninsulas are mainly covered by podzols rich in aluminium (Al) and iron (Fe). The layers cannot be well-defined due to the bedrock structure. Permafrost is not spread in the area, but it can be found in some spots (
Vegetation. The Peninsulas are mostly covered by dwarf shrub tundra with the dominance of Empetrum nigrum ssp. hermaphroditum, Vaccinium vitis-idaea, Vaccinium uliginosum and Vaccinium myrtillus. The heterogeneity of the terrain and the abundance of small rivers and lakes create a lot of microsites for different types of vegetation. The most common plant communities are dwarf shrub tundra, birch krummholz, willow-shrub communities, bogs, fens, meadows, grasslands on sand dunes, salt-marshes, chasmophytic vegetation of rocks, vegetation of scree habitats and ruderal communities of trampled habitats.
The Peninsulas are not the only location covered by tundra communities in Murmansk Region, but they differ from other parts of the Region in some features of geological structure, climate and land use. Most of all, this territory can be regarded as a model of the vegetation modification in the Arctic following the climate change.
The protected area "The Rybachy and the Sredny Peninsulas" was created on the largest part of the Peninsulas in 2014. This area has a status of regional Natural Park. Our vegetation and flora studies started as part of a nature conservation project and then continued to adjust the protection regime, to catalogue the vegetation cover and to identify the vegetation development patterns.
The data were collected using the vegetation plot method as described below; the observations are located irregularly reflecting the habitat distribution. In the summers of 2008, 2009, 2011, 2014 and 2015, the authors of this paper sampled 991 vegetation plots (relevés). For each relevé, we recorded the cover of the layers and the cover of each species, the relevé area size, slope aspect and slope ratio and height of each vegetation layer. The plot sizes varied due to the size of the plant communities. For tundra and bog communities, the size of the plots was 400 m2 (20 × 20 m). The other communities were often less than 400 m2 in area; thus, the relevés were made within the boundaries of the plant community. In this case, the plot size varied from 1 m2 to 400 m2. In the current dataset, we do not present this information. We also recorded the location of the plots (geographical coordinates in WGS84). The sampling process was conducted with direct observations and active search for plant species, i.e. vascular plants, mosses, liverworts and lichens.
The vegetation database was created using the Turboveg software (
All the taxa in the dataset have the rank "species". We did not include the specimens, which were not identified at the species rank. The plant names are provided according to
Species difficult for field identification were collected for further work and the specimens were identified by the authors. The moss herbarium specimens, collected in 2008, 2009 and 2011, were included in the dataset. Identifications of mosses were made and/or confirmed by E. A. Ignatova and V. E. Fedosov (Lomonosov Moscow State University). Herbarium specimens of problematic vascular plant taxa were checked by experts from several institutions: Komarov Botanical Institute - N. N. Tzvelev (Poaceae, Sparganium, Potomogeton), V. I. Dorofeev (Brassicaceae), V. V. Petrovskyi (Draba), T. V. Egorova (Carex), A. E. Grabovskaya-Borodina (Rumex), G. Yu. Konechnaya (various taxa), I.B. Kucherov (Alchemilla); Lomonosov Moscow State University - M.N. Kozhin (Betula, Atriplex); Polar-Alpine Botanical Garden-Institute - V. A. Kostina (specimens collected in 2008). The specimens after identification and revision were deposited to the Herbaria of the Moscow State University (MW), Institute of North Industrial Ecology Problems (INEP), Karelian Research Centre (PTZ) and Komarov Botanical Institute (LE).
This dataset cannot be used as a vegetation database or a floristic checklist. We did not provide the information about species coverage and height and ecological conditions (terrain and soils).
The study area is located in the northern part of Pechengsky District of Murmansk Region, representing the northernmost part of continental European Russia (69°33′–69°56′ N, 31°44′–32°07′ E; Fig.
The majority of occurrences are located in the Rybachy Peninsula (11,346, 70%). The Sredny Peninsula is covered by 4,536 occurrences (28%). The isthmus between the Peninsulas is represented by 133 occurrences (less than 1%). We also included several observations (274, 1%), located at the Mustatunturi Mt. nearby the Sredny Peninsula.
The locations of the occurrences are not regularly situated. By choosing the location of a vegetation plot, we tried to reveal the alpha, beta and gamma diversity to the fullest extent possible. Thus, the inland part of the Rybachy Peninsula, which is homogeneous in vegetation and not rich in species diversity, is covered by a fewer number of observations than the river valleys and the sea coasts.
The southeast part of the Rybachy Peninsula remains less studied than the rest of the territory, because it is hard to reach from both the land (due to the absence of roads) and the sea (due to the cliffs).
E31,8758° and E31,9367° Latitude; N69,7244° and N69,7182° Longitude.
Our dataset includes 16,289 records of georeferenced plant occurrences that belong to 568 species. There are 23 species of lichens (Ascomycota), 142 species of mosses (Bryophyta), three species of liverworts (Marchantiophyta) and 400 species of vascular plants (Tracheophyta) in the presented dataset.
Since our data (
Based on our estimates of the diversity of mosses and vascular plants on the Peninsulas (yet unpublished), the dataset covers approximately 80% of vascular plant species and about 50% of moss species on the Rybachy and the Sredny Peninsulas.
The majority of occurrences belong to vascular plants (Table
Taxa | Species | Occurrences |
Plantae | ||
Tracheophyta | 400 | 14 395 |
Magnoliopsida | 248 | 9 724 |
Liliopsida | 122 | 3 825 |
Polypodiopsida | 21 | 584 |
Lycopodiopsida | 7 | 198 |
Pinopsida | 2 | 64 |
Bryophyta | 142 | 1 283 |
Marchantiophyta | 3 | 79 |
Fungi | ||
Ascomycota | 23 | 532 |
Although the data on vascular plants are relatively complete, they do not include several most difficult taxa. The majority of Alchemilla species still remain unidentified; the dataset includes only determined species of this genus. In apomictic genera (Taraxacum, Hieracium), we included only the species easy to identify: Taraxacum officinale (s.l.) and Hieracium umbellatum. Moreover, the dataset does not include the occurrences for several Ranunculus, Betula, Salix and Euphrasia species, which were observed at the plots, but remain unidentified.
The dataset includes the occurrences of legally protected species (Table
The species under conservation concern in the provided dataset.
Correspondence between conservation status in the Red Data Book of Murmansk Region (
Species | Number of occurrences in the dataset | Family | Conservation status in the Red Data Book of Murmansk Region |
Epilobium alsinifolium Vill. | 1 | Onagraceae | 3 |
Gastrolychnis apetala (L.) Tolm. & Kozhanch. | 1 | Caryophyllaceae | 3 |
Eritrichium villosum (Ledeb.) Bunge | 1 | Boraginaceae | 1a |
Gentianopsis detonsa (Rottb.) Ma | 1 | Gentianaceae | 1b |
Lomatogonium rotatum (L.) Fr. ex Fernald | 1 | Gentianaceae | 1b |
Carex maritima Gunnerus | 2 | Cyperaceae | 3 |
Draba fladnizensis Wulfen | 2 | Brassicaceae | 3 |
Armeria scabra Pall. ex Roem. & Schult. | 3 | Plumbaginaceae | 3 |
Sphagnum subnitens Russow & Warnstorf | 4 | Sphagnaceae | 3 |
Polystichum lonchitis (L.) Roth | 6 | Dryopteridaceae | 3 |
Cryptogramma crispa (L.) R.Br. | 10 | Pteridaceae | 3 |
Leucorchis albida (L.) E.Mey. | 11 | Orchidaceae | 2 |
Gentianella aurea (L.) H.Sm. | 21 | Gentianaceae | 3 |
Valeriana sambucifolia J.C.Mikan | 21 | Caprifoliaceae | 3 |
Alchemilla alpina L. | 86 | Rosaceae | 3 |
Rhodiola rosea L. | 140 | Crassulaceae | 3 |
The dataset contains the up-to-date information about the distribution of some rare species, which were observed in Murmansk Region only a few times and more than 50 years ago, for example, Gastrolychnis apetala, Eritrichium villosum, Gentianopsis detonsa (Fig.
In the summers of 2008, 2009, 2011, 2014 and 2015, we studied the vegetation cover of the Peninsulas. The longest period of fieldwork was in 2014, so most of the occurrences (9,263) were recorded during that year. The dataset additionally contains 1,557 occurrences made in 2008, 961 - in 2009, 311 - in 2011 and 4,197 - in 2015. Such differences in the number of observations are a consequence of different durations of the field seasons.
The dataset presents the occurrences of the 568 species of plants on the Rybachy and the Sredny Peninsulas (NW Russia), based on original vegetation plots.
Column label | Column description |
---|---|
occurrenceID | An identifier for the Occurrence (ID of a record within the dataset). For example, "13760". |
dcterms:type | The nature or genre of the resource. A constant ("Dataset"). |
dcterms:modified | The most recent date-time on which the resource was changed. |
dcterms:language | A language of the resource. A constant ("en", i.e. English). |
dcterms:license | A legal document giving official permission to do something with the resource. A constant ("http://creativecommons.org/licenses/by/4.0/legalcode"). |
dcterms:rightsHolder | A person or organisation owning or managing rights over the resource. A constant ("Moscow State University"). |
dcterms:accessRights | Information about who can access the resource or an indication of its security status. A constant ("Use under CC BY 4.0"). |
institutionID | An identifier for the institution having custody of the object(s) or information referred to in the record. A constant ("http://grbio.org/institution/moscow-stateuniversity" for the Moscow State University). |
collectionID | An identifier for the collection or dataset from which the record was derived. A constant ("urn:lsid:biocol.org:col:15550" for the Moscow University Herbarium). |
datasetID | An identifier for the set of data. May be a global unique identifier or an identifier specific to a collection or institution. A constant ("urn:lsid:biocol.org:col:15550:09"). |
institutionCode | The name (or acronym) in use by the institution having custody of the object(s) or information referred to in the record. A constant ("Moscow State University"). |
datasetName | The name identifying the dataset from which the record was derived. A constant (Vegetation of the Rybachy Peninsula and the Sredny Peninsula, Murmansk Oblast, Russia). |
ownerInstitutionCode | The name (or acronym) in use by the institution having ownership of the object(s) or information referred to in the record. A constant ("Moscow State University"). |
basisOfRecord | The specific nature of the data record – a subtype of the dcterms:type. A constant ("HumanObservation"). |
informationWithheld | Additional information that exists, but that has not been shared in the given record. A constant ("Associated ecological data"). |
catalogNumber | An identifier (preferably unique) for the record within the dataset or collection. A variable. The same with “occurrenceID”. |
recordedBy | A list of names of people responsible for recording the original Occurrence. A variable. For example, “Anna Razumovskaya | Ksenia Popova”. |
occurrenceStatus | A statement about the presence or absence of a taxon at a location. A constant ("present"). |
eventID | An identifier for the set of information associated with an Event (something that occurs at a place and time). Vegetation plot number, relevé number. A variable. For example, “869”. |
eventDate | The date or interval during which an event occurred. For occurrences, this is the date when the event was recorded. A variable. For example, “2015-07-10”. |
day | The integer day of the month on which the Event occurred. A variable. |
month | The integer month in which the Event occurred. A variable. |
year | The four-digit year in which the Event occurred, according to the Common Era Calendar. A variable. |
higherGeography | A list (concatenated and separated) of geographic names less specific than the information captured in the locality term. A constant ("Europe | Russian Federation | Murmansk Oblast | Pechengsky District"). |
continent | The name of the continent in which the location occurs. A constant ("Europe"). |
country | The name of the country or major administrative unit in which the location occurs. A constant ("Russian Federation"). |
countryCode | The standard code for the country in which the location occurs. A constant ("RU"). |
stateProvince | The name of the next smaller administrative region than country (state, province, canton, department, region etc.) in which the location occurs. A constant ("Murmansk Oblast"). |
county | The full, unabbreviated name of the next smaller administrative region than stateProvince (county, shire, department etc.) in which the Location occurs. A constant ("Pechengsky District"). |
decimalLatitude | The geographic latitude (in decimal degrees, using the spatial reference system given in geodeticDatum) of the geographic centre of a location. A variable. |
decimalLongitude | The geographic longitude (in decimal degrees, using the spatial reference system given in geodeticDatum) of the geographic centre of a location. A variable. |
geodeticDatum | The ellipsoid, geodetic datum or spatial reference system (SRS) upon which the geographic coordinates given in decimalLatitude and decimalLongitude are based. A constant ("WGS84"). |
coordinateUncertaintyInMeters | The horizontal distance (in metres) from the given decimalLatitude and decimalLongitude describing the smallest circle containing the whole of the location. A constant (“10”) |
georeferencedBy | A list (concatenated and separated) of names of people, groups or organisations who determined the georeference (spatial representation) of the location. The same with “recordedBy”. |
scientificName | The full scientific name, with authorship and date information, if known. A variable (for example, "Epilobium hornemannii Rchb."). |
genus | The full scientific name of the genus in which the taxon is classified. A variable (for example, "Epilobium"). |
specificEpithet | The name of the first or species epithet of the scientificName. A variable (for example, "hornemannii"). |
scientificNameAuthorship | The authorship information for the scientificName formatted according to the conventions of the applicable nomenclaturalCode. A variable (for example, "Rchb."). |
nomenclaturalCode | The nomenclatural code (or codes in the case of an ambiregnal name) under which the scientificName is constructed. A constant ("International Code of Nomenclature for algae, fungi and plants"). |
taxonomicStatus | The status of the use of the scientificName as a label for a taxon. A constant ("accepted"). |
taxonRank | The taxonomic rank of the most specific name in the scientificName. A constant ("species"). |
kingdom | The full scientific name of the kingdom in which the taxon is classified. |
phylum | The full scientific name of the phylum or division in which the taxon is classified. |
class | The full scientific name of the class in which the taxon is classified. |
order | The full scientific name of the order in which the taxon is classified. |
family | The full scientific name of the family in which the taxon is classified. |
The work of Ksenia Popova was supported by the governmental contract of MSU 121032500089-1. The work of Anna Razumovskaya was supported as part of the INEP research project 0226-2019-0045.
We are grateful to E. A. Ignatova and V. E. Fedosov for their help with the identification of mosses. We also thank all the experts who checked the identifications of vascular plants: N. N. Tzvelev, V. I. Dorofeev, V. V. Petrovskyi, T. V. Egorova, A. E. Grabovskaya-Borodina, G. Yu. Konechnaya, I.B. Kucherov, M. N. Kozhin and V. A. Kostina.
Many thanks to M. N. Kozhin for his significant help with the manuscript.
We also thank A. P. Seregin for his help with the dataset submission and T. M. Gavrilova for proofreading the text.
We are grateful to the reviewers for their recommendations that allowed us to improve our manuscript.
We thank the Ministry of Higher Education and Science of Russian Federation for supporting the Center of Collective Use “Herbarium MBG RAS”.