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Achieving Reliable Estimates of the Spatial Distribution of Kelp Biomass by van Son, Thijs Christiaan; Nikolioudakis, Nikolaos; Steen, Henning; Albretsen, Jon; Furevik, Birgitte Rugaard; Elvenes, Sigrid; Moy, Frithjof; Norderhaug, Kjell Magnus is a Environmental Science article available to read on EtoBox.
What is Achieving Reliable Estimates of the Spatial Distribution of Kelp Biomass about?
Kelp forests are highly productive systems that are important ecologically and commercially as well as in a blue carbon perspective. Given their importance, there is an urgent need to achieve reliable estimates of the spatial distribution of their biomass. Species distribution modelling is a powerful tool for producing such estimates, but it requires a solid framework, including important environmental covariates that have a direct effect on their biomass, a proper sampling strategy, and an independent evaluation dataset. Using Laminaria hyperborea as a model species, we developed a modelling framework considering these requirements and necessary steps to produce reliable predictions. Our modelling framework included proportion of hard substrate and bottom wave exposure, both crucial covariates that have a direct effect on the biomass of L. hyperborea, but rarely included in modelling studies. Furthermore, we devised a sampling strategy with field observations covering the whole environmental covariate space present in the study area. Subsequently, we fitted GAMs relating the field observations of the biomass of L. hyperborea to relevant environmental covariates. The best model con
Who reads Achieving Reliable Estimates of the Spatial Distribution of Kelp Biomass?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- van Son, Thijs Christiaan; Nikolioudakis, Nikolaos; Steen, Henning; Albretsen, Jon; Furevik, Birgitte Rugaard; Elvenes, Sigrid; Moy, Frithjof; Norderhaug, Kjell Magnus
- Publisher
- Frontiers Media SA; Frontiers Media S.A.; Lausanne: Frontiers Media S.A., 2014- (ISSN 2296-7745)
- Published
- 2020
- Language
- EN
- Field
- Environmental Science (Physical Sciences)