High rates of short-term dynamics of forest ecosystem services
Snäll, T., Triviño, M., Mair, L., Bengtsson, J., & Moen, J. (2021). High rates of short-term dynamics of forest ecosystem services. Nature Sustainability, 4(11), 951-957. https://doi.org/10.1038/s41893-021-00764-w
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Nature SustainabilityDate
2021Discipline
ResurssiviisausyhteisöEkologia ja evoluutiobiologiaSchool of Resource WisdomEcology and Evolutionary BiologyCopyright
© 2021, The Author(s), under exclusive licence to Springer Nature Limited
Currently, the main tools for assessing and managing ecosystem services at large scales are maps providing snapshots of their potential supply. However, many ecosystems change over short timescales; thus, such maps soon become inaccurate. Here we show high rates of short-term dynamics of three key forest ecosystem services: wood production, bilberry production and topsoil carbon storage. Almost 85% of the coldspots and 65% of the hotspots for these services had changed into a different state over a ten-year period. Wood production showed higher rates of short-term dynamics than bilberry production and carbon storage. The high rates of dynamics mean that static snapshot ecosystem service maps provide limited information for assessing and managing multifunctional, dynamic landscapes, such as forests. We advocate that dynamic, spatially explicit tools to assess and manage ecosystem service dynamics be further developed and applied in post-2020 biodiversity and ecosystem service policy supporting frameworks.
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Nature Publishing GroupISSN Search the Publication Forum
2398-9629Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/101479806
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Kone FoundationAdditional information about funding
The study originated in a pilot MAES project (Mapping and Assessment of Ecosystems and their Services) funded by the Swedish Environmental Protection Agency to T.S., J.B. and J.M. The grant also funded L.M. The study was also supported by the ERA-Net Sumforest project FutureBioEcon/Formas 2016–2109 (coordinated by T.S.). M.T. was supported by the Kone Foundation and by the FutureBioEcon project and further thanks members of the BERG group (http://www.jyu.fi/berg)

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