Finnish inventory data of underwater marine biodiversity

Louise Forsblom; Elina A. Virtanen; Heidi Arponen; Rasmus Boman; Jaakko Haapamäki; Joonas Hoikkala; Niko Kallio; Ville-Juhani Karvinen; Anu Kaskela; Essi Keskinen; Lauri Kuismanen; Lasse Kurvinen; Ari O. Laine; Maiju Lanki; Eveliina Lampinen; Juho Lappalainen; Pekka Lehtonen; Aija Nieminen; Kevin O’Brien; Anu Riihimäki; Henna Rinne; Sonja Salovius-Lauren; Antti Takolander; Karl Weckström; Markku Viitasalo

doi:10.1038/s41597-024-04092-4

Finnish inventory data of underwater marine biodiversity

Louise Forsblom^*
, Elina A. Virtanen^*
, Heidi Arponen
, Rasmus Boman
, Jaakko Haapamäki
, Joonas Hoikkala
, Niko Kallio
, Ville-Juhani Karvinen
, Anu Kaskela
, Essi Keskinen
, Lauri Kuismanen
, Lasse Kurvinen
, Ari O. Laine
, Maiju Lanki
, Eveliina Lampinen
, Juho Lappalainen
, Pekka Lehtonen
, Aija Nieminen
, Kevin O’Brien
, Anu Riihimäki

Henna Rinne, Sonja Salovius-Lauren, Antti Takolander, Karl Weckström, Markku Viitasalo

^*Corresponding author for this work

Environmental and Marine Biology

Research output: Contribution to journal › Article › Scientific › peer-review

12 Citations (Scopus)

72 Downloads (Pure)

Abstract

Since 2004, marine biodiversity inventory data have been systematically collected with diving, video, and benthic sampling methods in Finland. To date, this collection of data consists of more than 194 000 spatially explicit observations, covering more than 280 aquatic genera, representing mainly macroalgae, vascular plants, water mosses, and invertebrates. We describe the data collection and storage methods, data extraction from national databases, and provide potential users a curated, open-access version of the inventory data. Additionally, examples of data applications and discussion on potential limitations are provided. This extensive dataset can be used in ecological and biogeographical studies to provide general descriptions of biodiversity patterns and species distributions, as well as in more applied studies to support marine management, conservation, and sustainable use of marine areas. The sampling strategy and high spatial and taxonomic resolution allow for statistical modelling, which further increases the usability of the data in research, for instance in identifying key biodiversity areas, estimating biodiversity loss, and assessing efficiency of conservation.

Original language	English
Article number	1297
Number of pages	12
Journal	Scientific Data
Volume	11
DOIs	https://doi.org/10.1038/s41597-024-04092-4
Publication status	Published - 27 Nov 2024
MoE publication type	A1 Journal article-refereed

Funding

We gratefully thank all the field personnel who have collected data for the Velmu programme and within projects over the years. We wish to also thank everyone who have been involved in planning the collection of data, as well as processing, storing, and distributing the data. We also wish to thank contributors of the field methodology guide, including Anna Arnkil, Ulrika Bj\u00F6rkman, Eva Ehrnsten, Michael Haldin, Suvi Kiviluoto, Mira Korpi, Katriina K\u00F6n\u00F6nen, Rami Laaksonen, Heta Rousi, Elina Salo, and Mats Westerbom. We thank Tytti Turkia, Mira Korpi and Tuuli Pakkanen for help with data. The data collection was conducted by the Velmu programme financed by the Ministry of the Environment as well as by other projects including: Biodiversea (EU LIFE IP), Parks and Wildlife Finland, CoastNet LIFE (EU LIFE IP), ECOnnect (Interreg Botnia-Atlantica), FINMARINET (EU LIFE+), Kvarken Flada (Interreg Botnia-Atlantica), Mapping marine Natura 2000 habitats in \u00C5land (EMFF), NANNUT (Nature and Nurture of the Northern Baltic Sea, Central Baltic Interreg), People, Nature, Harbours (Interreg III), SeaCOMBO (Sea CO-operation for Management of the BOthnian Bay, Interreg Nord), SeaGIS 2.0 (Interreg Botnia-Atlantica), SEAmBOTH (Seamless monitoring, restoration and conservation in the northern Gulf of Bothnia, Interreg Nord), SeaMoreEco (Interreg Aurora), TOPCONS (ENPI), \u00C5landSeaMap (BaltCF, EMFF) as well as projects funded by the Government of \u00C5land. The study utilized marine research infrastructures as a part of the national FINMARI consortium.

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s41597-024-04092-4Final published version, 3.87 MBLicence: CC BY

https://urn.fi/URN:NBN:fi-fe20241206100102

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Forsblom, L., Virtanen, E. A., Arponen, H., Boman, R., Haapamäki, J., Hoikkala, J., Kallio, N., Karvinen, V.-J., Kaskela, A., Keskinen, E., Kuismanen, L., Kurvinen, L., Laine, A. O., Lanki, M., Lampinen, E., Lappalainen, J., Lehtonen, P., Nieminen, A., O’Brien, K., ... Viitasalo, M. (2024). Finnish inventory data of underwater marine biodiversity. Scientific Data, 11, Article 1297. https://doi.org/10.1038/s41597-024-04092-4

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title = "Finnish inventory data of underwater marine biodiversity",

abstract = "Since 2004, marine biodiversity inventory data have been systematically collected with diving, video, and benthic sampling methods in Finland. To date, this collection of data consists of more than 194 000 spatially explicit observations, covering more than 280 aquatic genera, representing mainly macroalgae, vascular plants, water mosses, and invertebrates. We describe the data collection and storage methods, data extraction from national databases, and provide potential users a curated, open-access version of the inventory data. Additionally, examples of data applications and discussion on potential limitations are provided. This extensive dataset can be used in ecological and biogeographical studies to provide general descriptions of biodiversity patterns and species distributions, as well as in more applied studies to support marine management, conservation, and sustainable use of marine areas. The sampling strategy and high spatial and taxonomic resolution allow for statistical modelling, which further increases the usability of the data in research, for instance in identifying key biodiversity areas, estimating biodiversity loss, and assessing efficiency of conservation.",

author = "Louise Forsblom and Virtanen, \{Elina A.\} and Heidi Arponen and Rasmus Boman and Jaakko Haapam{\"a}ki and Joonas Hoikkala and Niko Kallio and Ville-Juhani Karvinen and Anu Kaskela and Essi Keskinen and Lauri Kuismanen and Lasse Kurvinen and Laine, \{Ari O.\} and Maiju Lanki and Eveliina Lampinen and Juho Lappalainen and Pekka Lehtonen and Aija Nieminen and Kevin O{\textquoteright}Brien and Anu Riihim{\"a}ki and Henna Rinne and Sonja Salovius-Lauren and Antti Takolander and Karl Weckstr{\"o}m and Markku Viitasalo",

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doi = "10.1038/s41597-024-04092-4",

language = "English",

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Forsblom, L, Virtanen, EA, Arponen, H, Boman, R, Haapamäki, J, Hoikkala, J, Kallio, N, Karvinen, V-J, Kaskela, A, Keskinen, E, Kuismanen, L, Kurvinen, L, Laine, AO, Lanki, M, Lampinen, E, Lappalainen, J, Lehtonen, P, Nieminen, A, O’Brien, K, Riihimäki, A, Rinne, H, Salovius-Lauren, S, Takolander, A, Weckström, K & Viitasalo, M 2024, 'Finnish inventory data of underwater marine biodiversity', Scientific Data, vol. 11, 1297. https://doi.org/10.1038/s41597-024-04092-4

TY - JOUR

T1 - Finnish inventory data of underwater marine biodiversity

AU - Forsblom, Louise

AU - Virtanen, Elina A.

AU - Arponen, Heidi

AU - Boman, Rasmus

AU - Haapamäki, Jaakko

AU - Hoikkala, Joonas

AU - Kallio, Niko

AU - Karvinen, Ville-Juhani

AU - Kaskela, Anu

AU - Keskinen, Essi

AU - Kuismanen, Lauri

AU - Kurvinen, Lasse

AU - Laine, Ari O.

AU - Lanki, Maiju

AU - Lampinen, Eveliina

AU - Lappalainen, Juho

AU - Lehtonen, Pekka

AU - Nieminen, Aija

AU - O’Brien, Kevin

AU - Riihimäki, Anu

AU - Rinne, Henna

AU - Salovius-Lauren, Sonja

AU - Takolander, Antti

AU - Weckström, Karl

AU - Viitasalo, Markku

PY - 2024/11/27

Y1 - 2024/11/27

N2 - Since 2004, marine biodiversity inventory data have been systematically collected with diving, video, and benthic sampling methods in Finland. To date, this collection of data consists of more than 194 000 spatially explicit observations, covering more than 280 aquatic genera, representing mainly macroalgae, vascular plants, water mosses, and invertebrates. We describe the data collection and storage methods, data extraction from national databases, and provide potential users a curated, open-access version of the inventory data. Additionally, examples of data applications and discussion on potential limitations are provided. This extensive dataset can be used in ecological and biogeographical studies to provide general descriptions of biodiversity patterns and species distributions, as well as in more applied studies to support marine management, conservation, and sustainable use of marine areas. The sampling strategy and high spatial and taxonomic resolution allow for statistical modelling, which further increases the usability of the data in research, for instance in identifying key biodiversity areas, estimating biodiversity loss, and assessing efficiency of conservation.

AB - Since 2004, marine biodiversity inventory data have been systematically collected with diving, video, and benthic sampling methods in Finland. To date, this collection of data consists of more than 194 000 spatially explicit observations, covering more than 280 aquatic genera, representing mainly macroalgae, vascular plants, water mosses, and invertebrates. We describe the data collection and storage methods, data extraction from national databases, and provide potential users a curated, open-access version of the inventory data. Additionally, examples of data applications and discussion on potential limitations are provided. This extensive dataset can be used in ecological and biogeographical studies to provide general descriptions of biodiversity patterns and species distributions, as well as in more applied studies to support marine management, conservation, and sustainable use of marine areas. The sampling strategy and high spatial and taxonomic resolution allow for statistical modelling, which further increases the usability of the data in research, for instance in identifying key biodiversity areas, estimating biodiversity loss, and assessing efficiency of conservation.

U2 - 10.1038/s41597-024-04092-4

DO - 10.1038/s41597-024-04092-4

M3 - Article

SN - 2052-4463

VL - 11

JO - Scientific Data

JF - Scientific Data

M1 - 1297

ER -

Finnish inventory data of underwater marine biodiversity

Abstract

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