Marine Biology

, Volume 160, Issue 2, pp 309–325

Modeling kelp forest distribution and biomass along temperate rocky coastlines

  • Daniel Gorman
  • Touria Bajjouk
  • Jacques Populus
  • Mickaël Vasquez
  • Axel Ehrhold
Original Paper

DOI: 10.1007/s00227-012-2089-0

Cite this article as:
Gorman, D., Bajjouk, T., Populus, J. et al. Mar Biol (2013) 160: 309. doi:10.1007/s00227-012-2089-0

Abstract

We address the global deficit of data describing kelp forest distribution, relative covers and biomass by testing the ability of species distribution models to predict these attributes at locations where data are currently limited. We integrated biological ground truth data with high-resolution environmental datasets to develop generalized additive models that accurately predict the structure of Laminaria forests within the Bay of Morlaix (48°42′42″N, 3°55′40″W). Forest distribution and proportional covers were predicted using water depth, light availability, wave exposure and sediment dynamics. The biomass of individual kelp species was modeled by supplementing these same variables with measures of seafloor slope and benthic position. Biomass predictions for Laminaria digitata and Laminaria hyperborea contrast the physiological tolerances of these species to light and wave exposure gradients. As a direct management output, we produced high-resolution maps (25 m2 grids) that closely match independent field data and provide vital information for marine spatial planning.

Supplementary material

227_2012_2089_MOESM1_ESM.doc (47 kb)
Supplementary material 1 (DOC 47 kb)

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Daniel Gorman
    • 1
  • Touria Bajjouk
    • 1
  • Jacques Populus
    • 1
  • Mickaël Vasquez
    • 1
  • Axel Ehrhold
    • 1
  1. 1.Département Dynamiques de l’Environnement CôtierInstitut Français de Recherche pour l’Exploitation de la MerPlouzanéFrance

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