Global estimates of the extent and production of macroalgal forests
Aarhus University · King Abdullah University of Science and Technology · +19 more institutions
Abstract
Abstract Aim Macroalgal habitats are believed to be the most extensive and productive of all coastal vegetated ecosystems. In stark contrast to the growing attention on their contribution to carbon export and sequestration, understanding of their global extent and production is limited and these have remained poorly assessed for decades. Here we report a first data‐driven assessment of the global extent and production of macroalgal habitats based on modelled and observed distributions and net primary production (NPP) across habitat types. Location Global coastal ocean. Time period Contemporary. Major taxa studied Macroalgae. Methods Here we apply a comprehensive niche model to generate an improved global map…
Citation impact
- FWCI
- 40.78
- Percentile
- 100%
- References
- 115
Authors
20- CMCarlos M. DuarteCorresponding
Aarhus University, King Abdullah University of Science and Technology
- JGJean‐Pierre Gattuso
Centre National de la Recherche Scientifique, Institut d'Etudes Politiques de Paris, Sorbonne Université, Institut du Développement Durable et des Relations Internationales, Laboratoire d’Océanographie de Villefranche
- KHKasper Hancke
Norwegian Institute for Water Research
- HGHege Gundersen
Norwegian Institute for Water Research
- KFKaren Filbee‐Dexter
The University of Western Australia, Norwegian Institute of Marine Research
Topics & keywords
- Ecology
- Production (economics)
- Geography
- Environmental science
- Agroforestry
- Biology
- Life below water
Funding
- SRSight Research UKAwards: NE/L003058/1, NE/J024082/1
- PAPrince Albert II of Monaco Foundation
- NENetherlands Earth System Science Centre
- FFFonds Français pour l'Environnement Mondial
- NENatural Environment Research CouncilAwards: NE/L003058/1, NE/J024082/1
- ARAustralian Research CouncilAward: DP170100023
- FPFundação para a Ciência e a TecnologiaAwards: DL57/2016/CP1361/CT0035, UIDB/04326/2020, DL57/2016, DL57/2016/CP1361, DL57/2016/CP1361/