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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.  相似文献   
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The TiO2/SiO2 composite was prepared by means of the SiO2-particle-entrapment method. The FTIR data showed the presence of Si–O–Ti stretching vibration band at 970 cm−1 in the TiO2/SiO2 composite, suggesting a reaction between TiO2 and silica on the TiO2 particle surface during the silicagel formation around the TiO2 particles. The photocatalytic efficiency of TiO2 immobilized in silicagel was compared with that of the conventional TiO2 Degussa P25 catalyst. For this purpose, the degradation of indigo carmin (IC) dye was used as model molecule in the tests. The effect of operational parameters such as catalyst loading and dye concentration on the photocatalytic degradation of the model dye was investigated. The rate of degradation increased with increasing catalyst loading, and when the concentration of the dye decreases.  相似文献   
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