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A long-term ecosystem monitoring dataset from the ICP Integrated Monitoring network: biogeochemical data from 1977–2020 across 14 European countries

Vitenskapelig artikkel
Publiseringsår
2026
Tidsskrift
Scientific Data
Eksterne nettsted
DOI
Nasjonalt vitenarkiv
NIVA-involverte
Heleen de Wit
Forfattere
James Weldon, Wenche Aas, Barbara Albiniak, Algirdas Augustaitis, Ieva Baužienė, Camilla Capelli, Nicholas Clarke, Thomas Cummins, Heleen de Wit, Thomas Dirnböck, Ika Djukic, Karin Eklöf, Martin Forsius, Martyn Futter, Ulf Grandin, Sergei Gromov, Adéla Holubová Šmejkalová, Ricardo Ibañez, Iveta Indriksone, Sara Jutterström, Johannes Kobler, Heidi Koger, Angelika Kölbl, Andrzej Kostrzewski, Anna Koukhta, Pavel Krám, Robert Kruszyk, Esther Lasheras, Kairi Lõhmus, Mikołaj Majewski, Ulla Makkonen, Hampus Markensten, Rafael Miranda, Michael Mirtl, Filip Moldan, Giancarlo Papitto, Johannes Peterseil, Ainis Pivoras, Thomas Plha, Gisela Pröll, Pernilla Rönnback, Carolina Santamaría, Jesús Miguel Santamaría, Krzysztof Skotak, David Elustondo, Mercedes Valerio, Sarah Venier, Lieke E. Vlaar, Liisa Ukonmaanaho, Jussi Vuorenmaa, Nicole Wellbrock

Sammendrag

Abstract The International Cooperative Programme on Integrated Monitoring of Air Pollution Effects on Ecosystems (ICP IM) presents a comprehensive long-term dataset of ongoing integrated ecosystem monitoring from European forested catchments. The dataset encompasses measurements from 46 monitoring stations across 14 European countries, with temporal coverage mostly extending from the early 1990s to 2020 (48 sites are currently active). The integrated monitoring approach applies over 20 monitoring subprogrammes to simultaneously measure physical, chemical, and biological properties across multiple ecosystem compartments including atmosphere, precipitation, throughfall, soil water, groundwater, runoff water, soil, vegetation, and biota. All measurements follow standardised protocols detailed in the ICP IM Manual, ensuring data quality and comparability across sites and time periods. The dataset supports research on ecosystem responses to air pollution, climate change impacts, and biogeochemical cycling. Data are available under a Creative Commons By Attribution (CC BY) licence, providing valuable long-term environmental monitoring data for the scientific community.