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

Meriggi, Carlotta; Mehrshad, Maliheh; Johnson, Richard K; Laugen, Ane T; Drakare, Stina

Meriggi, Carlotta; Mehrshad, Maliheh; Johnson, Richard K; Laugen, Ane T; Drakare, Stina.

Afiliação

Meriggi C; Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, 750 07, Sweden. carlotta.meriggi@slu.se.
Mehrshad M; Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, 750 07, Sweden.
Johnson RK; Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, 750 07, Sweden.
Laugen AT; Department of Natural Sciences, University of Agder, Kristiansand, Norway.
Drakare S; Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, 750 07, Sweden.

ISME Commun ; 3(1): 56, 2023 Jun 06.

Article em En | MEDLINE | ID: mdl-37280372

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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