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. 2020 Jul 13;11:3486. doi: 10.1038/s41467-020-17171-y

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — The results of meta-analysis mixed models are shown for the four studied biodiversity metrics: abundance (a), richness (b), diversity (c) and turnover (d). Green: significant increasing trends (p ≤ 0.05); orange: significantly declining trends (p ≤ 0.05); black (dark grey for Adriatic Sea): no significant trends (p > 0.05). For biogeoregion identity see Fig. 1. e Values of S-statistics (model estimated mean, error bar: +/− C.I.). Adr: Adriatic (n = 1 time series), Alp: Alpine (n = 33 time series), Atl Atlantic (n = 56 time series), BlS Black Sea (n = 5 time series), Bor Boreal (n = 32 time series), Con Continental (n = 17 time series), Med Mediterranean (n = 9 time series), NoS North Sea (n = 7 time series), and Pan Pannonian (n = 1 time series). Dark blue: abundance, pink: richness, yellow: diversity, light blue: turnover. Solid line and dot: p ≤ 0.05; dashed line and open circle: p > 0.05. Source data are provided as a Source Data file.