Chronicles of Nature Calendar, a Long-term and Large-scale Multitaxon Database on Phenology
DOI10.5281/zenodo.3607556Zenodo3607556MaRDI QIDQ6680995
Dataset published at Zenodo repository.
Tatiana Polyanskaya, Valery Zakharov, Yuri Bykov, Evgeniy Meyke, Eliezer Gurarie, Lyudmila Puchnina, Inna Sapelnikova, Elena Diadicheva, Muzhigit Akkiev, Ludmila Gromyko, Natalia Andriychuk, Elena Pospelova, Aleksandr Beshkarev, Zoya Drozdova, Olga Adrianova, Yurii Spasovski, Lidia Vetchinnikova, Vladimir Kozsheechkin, Viktor Teplov, Evgenii Korobov, Irina Kozyr, Alexey Pavlov, Irina Kurakina, Aleksandr Esipov, Viktorija Teleganova, Olga S Ermakova, Vitaly Grishchenko, Viktor Mamontov, Alexander Hritankov, Elena Shujskaja, Eugenia Yablonovska-Grishchenko, Svetlana Mayorova, Nadezhda Kutenkova, Olga Chashchina, Tatiana Akimova, Elena Gorbunova, Miroslav Babushkin, Sergei Stepanov, Irina Nesterova, Svetlana Chuhontseva, Lilija Sultangareeva, Andrei Sivkov, Alexander Sukhov, Evgeniya Kaygorodova, Sergei Sazonov, Evgeny Kozlovsky, Maria Delgado, Evgeniy Larin, Murad Kurbanbagamaev, Svetlana Igosheva, Inna Basilskaja, Sergey Kossenko, Aleksey Tomilin, Sergej Shubin, Dmitrij Golovcov, Elvira Kotlugalyamova, Natalia Sikkila, Anatoliy Gavrilov, Aleksandr Minin, Elena Chakhireva, Zoya Selyunina, Miroslava Sahnevich, Olga Rozhkova, Natalja Polikarpova, Aleksandra Vasina, Valentina Teplova, Irina Megalinskaja, Guzalya Suleymanova, Vladimir Yakovlev, Aleksandr Dobrolyubov, Nicolay Zelenetskiy, Natalya Ivanova, Nadezhda Kuyantseva, Vasyl Shevchyk, Viktor Demchenko, Irina Prokosheva, Anatoliy Shcherbakov, Tatyana Zubina, Natalia Belyaeva, Azizbek Mahmudov, Akynaly Dubanaev, Elena Andreeva, Anatoliy Vekliuk, Ozodbek Abduraimov, Alla Kozurak, Mirabdulla Turgunov, Anatolii Zheltukhin, Darya Panicheva, Ludmila Tselishcheva, Aleksander Vasin, Gleb Tikhonov, Irina Rybnikova, Elena Kulebyakina, Nadezhda Cherenkova, Andrey Zahvatov, Marina Abadonova, Violetta Fedotova, Gennadiy Kosenkov, Natalia Nemtseva, Elena Ignatenko, Natalia Shirshova, Aleksandra Esengeldenova, Galina Sokolova, Olga Ermakova, Olga Kuberskaya, Anatoly Bobretsov, Evgeniya Bukharova, Tatiana Filatova, Tatiana Novikova, Uliya Ivanova, Nina Nasonova, Kirill Litvinov, Elena Romanova, Lybov Chervova, Lidia Epova, Elena Vargot, Alexander Samoylov, Svetlana Babina, Aleksandr Ananin, Rustam Sibgatullin, Vladimir Bobrov, Yury Kalinkin, Sergey Elsukov, Tatiana Tertitsa, Klara Pavlova, Dmitry Tirski, Fedor Kazansky, Margarita Kupriyanova, Svetlana Skorokhodova, Alena Butunina, Nina Belova, Coong Lo, Aleksandra Krasnopevtseva, Yuri Buyvolov, Elena Smirnova, Ksenia Shalaeva, Tura Xoliqov, Maxim Antipin, Sergey Kruglikov, Violetta Strekalovskaya, Lidiya Makovkina, Sergej Chistjakov, Oleg Bakin, Tatyana Gordeeva, Tamara Nezdoliy, Elena Sitnikova, Maksim Shashkov, Elena Bochkareva, Valeri Sanko, Marina Yakovleva, Vladimir Hohryakov, Artur Meydus, Oksana Yantser, Tomas Roslin, Gennady Bogdanov, Yuliia Kulsha, Evgeniy A Davydov, Oleg Evstigneev, Nadezhda Goncharova, Helen Korolyova, Vladimir van, Tatjana Bespalova, Anna Buyvolova, Mykhailo Motruk, Vladislav Timoshkin, Inna Voloshina, Yuriy Dubrovsky, Oleg Mitrofanov, Svetlana Rykova, Andrey Kuznetsov, Aleksey Kudryavtsev, Vladislav Vinogradov, Konstantin Arzamascev, Otso Ovaskainen, Ludmila Dostoyevskaya, Anastasia Knorre, Aleksandr Myslenkov, Anatoliy Kutenkov, Svetlana Bondarchuk, Marina Rudenko, Irina Gaydysh, Julia Raiskaya, Juri Kurhinen, Svetlana Drovnina, Irina Fedchenko, Ilya Prokhorov, Nikolay Volodchenkov, Leonid Kolpashikov, Vadim Bobrovskyi, Yuri Rozhkov, Pavel Lebedev, Polina Petrenko, Vladimir Sopin, Sergey Gashev, Sergei Podolski, Evgeniya Bisikalova, Igor Pospelov, Darya Kiseleva, Natalia Luzhkova
Publication date: 14 January 2020
Copyright license: Creative Commons Attribution 4.0 International
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 BotanicalInstituteof the Russian Academy of Sciences in 2019. 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-Terrasniy Nature Reserve in 2017, in Vyshinino (Russia) by the Kenozero National Park in 2018, and in St Petersburg (Russia) by the Komarov BotanicalInstituteof 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: 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. 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. 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. 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. There are at least 200 National Parks and Nature Reserves that collect Chronicles of Nature Book data (in Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russian Federation, Tajikistan, Turkmenistan, Ukraine and Uzbekistan). Out of these, the current database covers data from 62 organizations, with the highest coverage in European Russia. The collection of new data continues in most parks. Thus, the database is not complete, and we aim to support the database with updates, depending on the interest of new partners to join, as well as resources and funding. The technical validation procedures described below will also be applied to any new information included in the database. Data is available as a data package (http://frictionlessdata.io/docs/data-package/#tabular-data) and will be updated with new versions as project goes on.
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