作者: Daniel Gorman , Touria Bajjouk , Jacques Populus , Mickaël Vasquez , Axel Ehrhold
DOI: 10.1007/S00227-012-2089-0
关键词:
摘要: We address the global deficit of data describing kelp forest distribution, relative covers and biomass by testing ability species distribution models to predict these attributes at locations where are currently limited. integrated biological ground truth with high-resolution environmental datasets develop generalized additive that accurately structure Laminaria forests within Bay Morlaix (48°42′42″N, 3°55′40″W). Forest proportional were predicted using water depth, light availability, wave exposure sediment dynamics. The individual was modeled supplementing same variables measures seafloor slope benthic position. Biomass predictions for digitata hyperborea contrast physiological tolerances gradients. As a direct management output, we produced maps (25 m2 grids) closely match independent field provide vital information marine spatial planning.