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. 2020 Feb 11;7(1):47.
doi: 10.1038/s41597-020-0376-z.

Chronicles of nature calendar, a long-term and large-scale multitaxon database on phenology

Otso Ovaskainen  1   2 , Evgeniy Meyke  3 , Coong Lo  4 , Gleb Tikhonov  4 , Maria Del Mar Delgado  5 , Tomas Roslin  6 , Eliezer Gurarie  7 , Marina Abadonova  8 , Ozodbek Abduraimov  9 , Olga Adrianova  10 , Tatiana Akimova  11 , Muzhigit Akkiev  12 , Aleksandr Ananin  13   14 , Elena Andreeva  15 , Natalia Andriychuk  16 , Maxim Antipin  17 , Konstantin Arzamascev  18 , Svetlana Babina  19 , Miroslav Babushkin  20 , Oleg Bakin  21 , Anna Barabancova  22 , Inna Basilskaja  23 , Nina Belova  24 , Natalia Belyaeva  25 , Tatjana Bespalova  26 , Evgeniya Bisikalova  27 , Anatoly Bobretsov  28 , Vladimir Bobrov  29 , Vadim Bobrovskyi  30 , Elena Bochkareva  31   32 , Gennady Bogdanov  33 , Vladimir Bolshakov  34 , Svetlana Bondarchuk  35 , Evgeniya Bukharova  13 , Alena Butunina  26 , Yuri Buyvolov  36 , Anna Buyvolova  36 , Yuri Bykov  37 , Elena Chakhireva  21 , Olga Chashchina  38 , Nadezhda Cherenkova  39 , Sergej Chistjakov  40 , Svetlana Chuhontseva  11 , Evgeniy A Davydov  31   41 , Viktor Demchenko  42 , Elena Diadicheva  42 , Aleksandr Dobrolyubov  43 , Ludmila Dostoyevskaya  44 , Svetlana Drovnina  39 , Zoya Drozdova  37 , Akynaly Dubanaev  45 , Yuriy Dubrovsky  46 , Sergey Elsukov  35 , Lidia Epova  47 , Olga S Ermakova  48 , Olga Ermakova  24 , Aleksandra Esengeldenova  26 , Oleg Evstigneev  49 , Irina Fedchenko  50 , Violetta Fedotova  44 , Tatiana Filatova  51 , Sergey Gashev  52 , Anatoliy Gavrilov  53 , Irina Gaydysh  10 , Dmitrij Golovcov  54 , Nadezhda Goncharova  15 , Elena Gorbunova  11 , Tatyana Gordeeva  55 , Vitaly Grishchenko  56 , Ludmila Gromyko  35 , Vladimir Hohryakov  57 , Alexander Hritankov  15 , Elena Ignatenko  58 , Svetlana Igosheva  59 , Uliya Ivanova  60 , Natalya Ivanova  61 , Yury Kalinkin  11 , Evgeniya Kaygorodova  49 , Fedor Kazansky  62 , Darya Kiseleva  63 , Anastasia Knorre  14   64 , Leonid Kolpashikov  53 , Evgenii Korobov  65 , Helen Korolyova  11 , Natalia Korotkikh  26 , Gennadiy Kosenkov  57 , Sergey Kossenko  49 , Elvira Kotlugalyamova  66 , Evgeny Kozlovsky  67 , Vladimir Kozsheechkin  15 , Alla Kozurak  16 , Irina Kozyr  24 , Aleksandra Krasnopevtseva  24 , Sergey Kruglikov  49 , Olga Kuberskaya  30 , Aleksey Kudryavtsev  43 , Elena Kulebyakina  68 , Yuliia Kulsha  56 , Margarita Kupriyanova  60 , Murad Kurbanbagamaev  28 , Anatoliy Kutenkov  69 , Nadezhda Kutenkova  69 , Nadezhda Kuyantseva  38   70 , Andrey Kuznetsov  20 , Evgeniy Larin  26 , Pavel Lebedev  44   71 , Kirill Litvinov  72 , Natalia Luzhkova  14 , Azizbek Mahmudov  9 , Lidiya Makovkina  73 , Viktor Mamontov  68 , Svetlana Mayorova  37 , Irina Megalinskaja  28 , Artur Meydus  74   75 , Aleksandr Minin  76   77 , Oleg Mitrofanov  11 , Mykhailo Motruk  78 , Aleksandr Myslenkov  73 , Nina Nasonova  79 , Natalia Nemtseva  20 , Irina Nesterova  35 , Tamara Nezdoliy  60 , Tatyana Niroda  80 , Tatiana Novikova  59 , Darya Panicheva  62 , Alexey Pavlov  21 , Klara Pavlova  58 , Polina Petrenko  30 , Sergei Podolski  58 , Natalja Polikarpova  81 , Tatiana Polyanskaya  82 , Igor Pospelov  53 , Elena Pospelova  53 , Ilya Prokhorov  83 , Irina Prokosheva  84 , Lyudmila Puchnina  50 , Ivan Putrashyk  80 , Julia Raiskaya  74 , Yuri Rozhkov  85 , Olga Rozhkova  85 , Marina Rudenko  86 , Irina Rybnikova  20 , Svetlana Rykova  50 , Miroslava Sahnevich  11 , Alexander Samoylov  39 , Valeri Sanko  42 , Inna Sapelnikova  23 , Sergei Sazonov  87 , Zoya Selyunina  88 , Ksenia Shalaeva  57 , Maksim Shashkov  61   89 , Anatoliy Shcherbakov  69 , Vasyl Shevchyk  56 , Sergej Shubin  90 , Elena Shujskaja  65 , Rustam Sibgatullin  25 , Natalia Sikkila  10 , Elena Sitnikova  49 , Andrei Sivkov  50 , Nataliya Skok  60 , Svetlana Skorokhodova  69 , Elena Smirnova  35 , Galina Sokolova  36 , Vladimir Sopin  74 , Yurii Spasovski  91 , Sergei Stepanov  65 , Vitalіy Stratiy  92 , Violetta Strekalovskaya  53 , Alexander Sukhov  69 , Guzalya Suleymanova  93 , Lilija Sultangareeva  66 , Viktorija Teleganova  55 , Viktor Teplov  28 , Valentina Teplova  28 , Tatiana Tertitsa  28 , Vladislav Timoshkin  15 , Dmitry Tirski  85 , Andrej Tolmachev  22 , Aleksey Tomilin  94 , Ludmila Tselishcheva  90 , Mirabdulla Turgunov  9 , Yurij Tyukh  80 , Van Vladimir  30 , Elena Vargot  95 , Aleksander Vasin  96 , Aleksandra Vasina  96 , Anatoliy Vekliuk  16 , Lidia Vetchinnikova  87 , Vladislav Vinogradov  15 , Nikolay Volodchenkov  24 , Inna Voloshina  73 , Tura Xoliqov  97 , Eugenia Yablonovska-Grishchenko  56 , Vladimir Yakovlev  11 , Marina Yakovleva  69 , Oksana Yantser  60 , Yurij Yarema  80 , Andrey Zahvatov  95 , Valery Zakharov  38 , Nicolay Zelenetskiy  20 , Anatolii Zheltukhin  65 , Tatyana Zubina  11 , Juri Kurhinen  4   87
Affiliations

Chronicles of nature calendar, a long-term and large-scale multitaxon database on phenology

Otso Ovaskainen et al. Sci Data. .

Erratum in

  • Author Correction: Chronicles of nature calendar, a long-term and large-scale multitaxon database on phenology.
    Ovaskainen O, Meyke E, Lo C, Tikhonov G, Delgado MDM, Roslin T, Gurarie E, Abadonova M, Abduraimov O, Adrianova O, Akimova T, Akkiev M, Ananin A, Andreeva E, Andriychuk N, Antipin M, Arzamascev K, Babina S, Babushkin M, Bakin O, Barabancova A, Basilskaja I, Belova N, Belyaeva N, Bespalova T, Bisikalova E, Bobretsov A, Bobrov V, Bobrovskyi V, Bochkareva E, Bogdanov G, Bolshakov V, Bondarchuk S, Bukharova E, Butunina A, Buyvolov Y, Buyvolova A, Bykov Y, Chakhireva E, Chashchina O, Cherenkova N, Chistjakov S, Chuhontseva S, Davydov EA, Demchenko V, Diadicheva E, Dobrolyubov A, Dostoyevskaya L, Drovnina S, Drozdova Z, Dubanaev A, Dubrovsky Y, Elsukov S, Epova L, Ermakova OS, Ermakova O, Esengeldenova A, Evstigneev O, Fedchenko I, Fedotova V, Filatova T, Gashev S, Gavrilov A, Gaydysh I, Golovcov D, Goncharova N, Gorbunova E, Gordeeva T, Grishchenko V, Gromyko L, Hohryakov V, Hritankov A, Ignatenko E, Igosheva S, Ivanova U, Ivanova N, Kalinkin Y, Kaygorodova E, Kazansky F, Kiseleva D, Knorre A, Kolpashikov L, Korobov E, Korolyova H, Korotkikh N, Kosenkov G, Kossenko S, Kotlugalyamova E, Kozlovsky E, Kozsheechkin V, Kozurak A, Kozyr I, Krasnopevtseva A, Kruglikov S, Kuberskaya O, Kudryav… See abstract for full author list ➔ Ovaskainen O, et al. Sci Data. 2020 Apr 9;7(1):118. doi: 10.1038/s41597-020-0454-2. Sci Data. 2020. PMID: 32273517 Free PMC article.

Abstract

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.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Spatial and taxonomic distribution of data. The size of each circle shows the total number of phenological observations, and the coloured sectors the proportions of observations belonging to each taxonomical group. The number of distinct localities in the database is 471, but in the figure data from nearby locations have been pooled into 63 locations which are situated at least 100 km apart.
Fig. 2
Fig. 2
Illustration of the structure of the data for phenological events with highest coverage. Each row corresponds to a type of phenological event. For each event, shown are the total number of records (N), the number of locations from which the records originate (L), the number of species that the data involve (S), and the mean number of species per location (S/L). The two heat maps show the temporal coverage of data in terms of years included (reflecting data availability), and in terms of the phenological dates (reflecting the timing of the included events). Further shown is a variance partitioning, with the colours corresponding to the fixed effects of latitude, longitude and their interaction (red), the random effect of the site (blue), the random effect of the taxon or climatic parameter (green), and the residual (grey). The event types are ordered within each taxonomic group according to the total amount of data.
See this image and copyright information in PMC

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