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Challenges in supplying empirical proof for predictions derived from Species Distribution Models (SDMs): the case of an invasive cyanobacterium

Crossref DOI link: https://doi.org/10.1038/s43705-023-00264-2

Published Online: 2023-06-06

Published Print: 2023-12-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Meriggi, Carlotta http://orcid.org/0000-0003-0411-1819
Mehrshad, Maliheh http://orcid.org/0000-0002-1108-6888
Johnson, Richard K

Laugen, Ane T

Drakare, Stina
Funding

Funding for this research was provided by:

Stiftelsen Oscar och Lili Lamms Minne (DO2017–0053)

Carl Tryggers Stiftelse för Vetenskaplig Forskning (CTS 16:267)

Svenska Forskningsrådet Formas (2018-05973)

Stiftelsen Oscar och Lili Lamms Minne (DO2017–0053, DO2017–0053, DO2017–0053, DO2017–0053, DO2017–0053)

Carl Tryggers Stiftelse för Vetenskaplig Forskning (CTS 16:267, CTS 16:267, CTS 16:267, CTS 16:267, CTS 16:267)

Svenska Forskningsrådet Formas (2018-05973, 2018-05973, 2018-05973, 2018-05973, 2018-05973)
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Text and Data Mining valid from 2023-06-06

Version of Record valid from 2023-06-06
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Article History

Received: 21 December 2022

Revised: 16 May 2023

Accepted: 24 May 2023

First Online: 6 June 2023

Competing interests

: The authors declare no competing interests.