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Published November 19, 2019 | Version 1.0.3.1
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Chronicles of Nature Calendar: A long-term and large-scale multitaxon database on phenology

Creators

  • 1. University of Helsinki
  • 2. EarthCape
  • 3. Oviedo University
  • 4. Swedish University of Agricultural Sciences
  • 5. University of Maryland
  • 6. National Park Orlovskoe Polesie,
  • 7. Institute of Botany, Academy of sciences of the Republic of Uzbekistan
  • 8. Kostomuksha Nature Reserve
  • 9. Kabardino-Balkarski Nature Reserve
  • 10. FSE Zapovednoe Podlemorye
  • 11. State Nature Reserve Stolby
  • 12. Carpathian Biosphere Reserve
  • 13. National Park Beringia
  • 14. State Nature Reserve Prisursky
  • 15. Zapovednoe Pribajkalje (Bajkalo-Lensky State Nature Reserve, Pribajkalsky National Park)
  • 16. Darwin Nature Biosphere Reserve
  • 17. Volzhsko-Kamsky National Nature Biosphere Rezerve
  • 18. Voronezhsky Nature Biosphere Reserve
  • 19. Baikalsky State Nature Biosphere Reserve
  • 20. Visimsky Nature Biosphere Reserve
  • 21. Pechoro-Ilych State Nature Reserve
  • 22. Kondinskie Lakes National Park named after L. F. Stashkevich
  • 23. Land of the Leopard
  • 24. A. N. Severtsov Institute of Ecology and Evolution
  • 25. FGBU Zapovednoye Priamurye, Komsomolskiy Department
  • 26. Tigirek State Nature Reserve
  • 27. State Nature Reserve Bolshaya Kokshaga
  • 28. Sikhote-Alin State Nature Biosphere Reserve named after K. G. Abramov
  • 29. FSBI Prioksko-Terrasniy State Reserve
  • 30. National park Meshchera
  • 31. Ilmensky State Nature Reserve, Russian Academy of Sciences, Urals Branch
  • 32. FGBU National Park Kenozersky
  • 33. FSBI Zeya State Nature Reserve
  • 34. FGBU GPZ Kologrivskij les im. M.G. Sinicina
  • 35. Altai State Nature Biosphere Reserve
  • 36. Pryazovskyi National Nature Park
  • 37. State Nature Reserve Privolzhskaya lesostep
  • 38. Komarov Botanical Institute of the Russian Academy of Sciences (BIN RAS)
  • 39. Sary-Chelek State Nature Reserve
  • 40. Institute for Evolutionary Ecology NAS Ukraine
  • 41. FGBU State Nature Reserve Kuznetsk Alatau
  • 42. Kerzhenskiy State Nature Biosphere Reserve
  • 43. Chatkalski National Park
  • 44. Bryansk Forest Nature Reserve
  • 45. Pinezhsky State Nature Reserve
  • 46. The Central Chernozem State Biosphere Nature Reserve named after Professor V.V. Alyokhin
  • 47. Tyumen State University
  • 48. Reserves of Taimyr
  • 49. National Park Ugra
  • 50. Kaniv Nature Reserve
  • 51. Smolenskoe Poozerje National Park
  • 52. Polistovsky State Nature Reserve
  • 53. Ural State Pedagogical University
  • 54. Institute of Mathematical Problems of Biology RAS – the Branch of the Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
  • 55. Kronotsky Federal Nature Biosphere Reserve
  • 56. Zhiguli Nature Reserve
  • 57. Central Forest State Nature Biosphere Reserve
  • 58. National Park Bashkirija
  • 59. State Nature Reserve Kurilsky
  • 60. Vodlozersky National Park
  • 61. State Nature Reserve Kivach
  • 62. Astrakhan Biosphere Reserve
  • 63. FSBI United Administration of the Lazovsky State Reserve and national park Zov Tigra
  • 64. State Nature Reserve Tungusskiy
  • 65. State Unitary Enterprise Research and Project Institute of General Planning for the city of Moscow
  • 66. Carpathian National Nature Park
  • 67. State Environmental Institution National Park Braslav lakes
  • 68. Pasvik State Nature Reserve
  • 69. Mari Chodra National Park
  • 70. Information-Analytical Centre for Protected Areas
  • 71. State Nature Reserve Vishersky
  • 72. State Nature Reserve Olekminsky
  • 73. Crimea Nature Reserve
  • 74. Forest Research Institute Karelian Research Centre Russian Academy of Sciences
  • 75. Black Sea Biosphere Reserve
  • 76. Institute of Physicochemical and Biological Problems in Soil Sciences Russian Academy of Science
  • 77. State Nature Reserve Nurgush
  • 78. FBSI Prioksko-Terrasnyi Nature National Reserve
  • 79. Caucasian State Biosphere Reserve of the Ministry of Natural Resources
  • 80. National Park Khvalynsky
  • 81. State Research Center Arctic and Antarctic Research Institute
  • 82. Mordovia State Nature Reserve
  • 83. State Nature Reserve Malaya Sosva
  • 84. Surhanskiy State Nature Reserve

Description

We present an extensive, large-scale, long-term and multitaxon database on phenological and climatic variation, involving 506,186 observation dates acquired in 471 localities in Russian Federation, Ukraine, Uzbekistan, Belarus and Kyrgyzstan. The data cover the period 1890-2018, with 96% of the data being from 1960 onwards. The database is rich in plants, birds and climatic events, but also includes insects, amphibians, reptiles and fungi. The database includes multiple events per species, such as the onset days of leaf unfolding and leaf fall for plants, and the days for first spring and last autumn occurrences for birds. The data were acquired using standardized methods by permanent staff of national parks and nature reserves (87% of the data) and members of a phenological observation network (13% of the data). The database is valuable for exploring how species respond in their phenology to climate change. Large-scale analyses of spatial variation in phenological response can help to better predict the consequences of species and community responses to climate change.

The recording scheme implemented at nature reserves offers unique opportunities for addressing community-level change across replicate local communities. These data have been systematically collected not as independent monitoring efforts, but using a shared and carefully standardized protocol adapted for each local community. Thus, variability in observation effort is of much less concern than in most other distributed cross-taxon phenological monitoring schemes. To enable analyses of higher-level taxonomical groups, we have included taxonomic classifications for the species in the database.

The compilation of the data in a common database was initiated in the context of the project “Linking environmental change to biodiversity change: long-term and large-scale data on European boreal forest biodiversity” (EBFB), funded for 2011-2015 by the Academy of Finland, and continued with the help of other funding to OO since 2016. We organized a series of project meetings that were essential for data acquisition, digitalization and unification. These meetings were organized in Ekaterinburg (Russia) by the Institute of Plant and Animal Ecology, Ural Branch of RAS (Russian Academy of Sciences) in 2011; in Petrozavodsk (Russia) by the Forest Research Institute, at the Karelian Research Center, RAS in 2013; in Miass (Russia) by the Ilmen Nature Reserve in 2014; in Krasnoyarsk (Russia) by the Stolby Nature Reserve in 2014; in Artybash (Russia) by the Altaisky Nature Reserve in 2015; in Listvyanka, Lake Baikal (Russia) by the Zapovednoe Pribajkalje Nature Reserve in 2016; in Roztochja (Ukraine) by the Ministry of Natural Resources of Ukraine in 2016; in Puschino (Russia) by the Prioksko-Terrasnyj Nature Reserve in 2017, in Vyshinino (Russia) by the Kenozero National Park in 2018, and in St Petersburg (Russia) by the Komarov Botanical Institute of the Russian Academy of Sciences in 2019.

The compilation of the data into a common database was conducted by the database coordinators (EM and CL) in Helsinki (Finland). Those participants that already held the data in digital format submitted it in the original format, and those that had the data only in paper format digitized it using Excel-based templates developed in the project meetings. Submitted data were processed by the database coordinators according to the following steps:

  1. The data were formatted so that each observation (the phenological date of a particular event in a particular locality and year) formed one row in the data table (e.g. un-pivoting tables that involved several years as the columns). The phenological event names were split into event type (e.g. “first occurrence“) and species name.
  2. The event type names (provided originally typically in Russian) were translated into English and the species names (usually provided in Russian) were identified to scientific names, using dictionaries that were partly developed and verified in the project meetings. All scientific names were periodically verified by mapping them to the Global Biodiversity Information Facility (GBIF) backbone taxonomy.
  3. We associated each data record with the following set of information fields: (1) project name, i.e. the source organization, (2) dataset name, (3) locality name, (4) unique taxon identifier, (5) scientific taxon name, and (6) event type.
  4. We imported the data records in the main database (maintained as an EarthCape database at https://ecn.ecdb.io). During the import, the taxonomic names, locality names, and dataset names were matched against already existing records.

The database consists of six data files, each formatted as a .csv (comma-separated values) file. 

The main data are provided in the phenology table, where each row describes at which day of the year (Field Day.of.year) a particular phenological event (Field Event.type) was observed for a particular species (fields Taxon and Taxon.identifier) in a particular year (field Year) and particular study site (field Study.site) that was part of a particular project (Field Project). Each row contains also a quality indicator (field Quality), which his set to “OK” if the data point has passed all the technical validation steps described in the data paper. Cases that were highlighted by the technical validation steps and thus that may be unreliable (and that we recommend to remove from analyses) are indicated as “Event.Type outlier”, “Locality-Taxonomic.Name-Event.Type bimodal”, “Locality-Taxonomic.Name-Event.Type outlier”, “Taxonomic.Name-Event.Type bimodal”, and “Taxonomic.Name-Event.Type outlier”. The criteria for how these were defined are described in the data paper.

The remaining data tables contain additional information that can be linked to the phenology table. First, the taxonomy table describes the taxonomical information (e.g. species for which the observation is made), and is linked to the phenology table through the shared fields Taxon and Taxon.identifier. Second, the phenological events table gives further information for each phenological event, and is linked to the phenology table through the shared field Event.type. Third, for data points that refer to climatic rather than to phenological events, the climatic events table gives further information for each  climatic event, and is linked to the phenology table through the shared field Event.type. Fourth, the study sites table gives the longitude and latitude of each study site, and is linked to the phenology table through the shared field Study.site. Fifth, the information sources table gives the reference to the original data, and is linked to the phenology table through the shared field Project.

Data files (consult with metadata.txt for details):

Phenology.csv (the phenology table)
Taxonomy.csv (the taxonomy table)
Phenological events.csv (The phenological events table)
Climatic events.csv (The climatic events table)
Study sites.csv (The study sites table)
Information sources.csv (The information sources table)

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