8 resultados para niche partitioning

em Publishing Network for Geoscientific


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Sulfidic muds of cold seeps on the Nile Deep Sea Fan are populated by different types of mat-forming sulfide-oxidizing bacteria. The predominant sulfide oxidizers of three different mats were identified by microscopic and phylogenetic analyses as (i) Arcobacter species producing cotton-ball-like sulfur precipitates, (ii) large filamentous sulfur bacteria including Beggiatoa species, or (iii) single, spherical cells resembling Thiomargarita species. High resolution in situ microprofiles revealed different geochemical settings selecting for different mat types. Arcobacter mats occurred where oxygen and sulfide overlapped at the bottom water interface. Filamentous sulfide oxidizers were associated with non-overlapping, steep gradients of oxygen and sulfide. A dense population of Thiomargarita was favored by temporarily changing supplies of oxygen and sulfide. These results indicate that the decisive factors in selecting for different mat-forming bacteria within one deep-sea province are spatial or temporal variations in energy supply. Furthermore, the occurrence of Arcobacter spp.-related 16S rRNA genes in the sediments below all three types of mats, as well as on top of brine lakes of the Nile Deep Sea Fan, indicates that this group of sulfide oxidizers can switch between different life modes depending on the geobiochemical habitat setting.

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Carbon uptake and partitioning of two globally abundant diatom species, Thalassiosira weissflogii and Dactyliosolen fragilissimus, was investigated in batch culture experiments under four conditions: ambient (15°C, 400 µatm), high CO2 (15°C, 1000 µatm), high temperature (20°C, 400 µatm), and combined (20°C, 1000 µatm). The experiments were run from exponential growth into the stationary phase (six days after nitrogen depletion), allowing us to track biogeochemical dynamics analogous to bloom situations in the ocean. Elevated CO2 had a fertilizing effect and enhanced uptake of dissolved inorganic carbon (DIC) by about 8% for T. weissflogii and by up to 39% for D. fragilissimus. This was also reflected in higher cell numbers, build-up of particulate and dissolved organic matter, and transparent exopolymer particles. The CO2 effects were most prominent in the stationary phase when nitrogen was depleted and CO2(aq) concentrations were low. This indicates that diatoms in the high CO2 treatments could take up more DIC until CO2 concentrations in seawater became so low that carbon limitation occurs. These results suggest that, contrary to common assumptions, diatoms could be highly sensitive to ongoing changes in oceanic carbonate chemistry, particularly under nutrient limitation. Warming from 15 to 20 °C had a stimulating effect on one species but acted as a stressor on the other species, highlighting the importance of species-specific physiological optima and temperature ranges in the response to ocean warming. Overall, these sensitivities to CO2 and temperature could have profound impacts on diatoms blooms and the biological pump.

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This data contains realized ecological niche estimates of phytoplankton taxa within the mixed layer of the open ocean. The estimates are based on data from the MARine Ecosystem DATa (MAREDAT) initiative, and cover five phytoplankton functional types: coccolithophores (40 species), diatoms (87 species), diazotrophs (two genera), Phaeocystis (two species) and picophytoplankton (two genera). Considered as major niche dimensions were temperature (°C), mixed layer depth (MLD; m), nitrate concentration (µmoles/L), mean photosynthetically active radiation in the mixed layer (MLPAR; µmoles/m**2/s), salinity, and the excess of phosphate versus nitrate relative to the Redfield ratio (P*; µmoles/L). For each niche dimension at a time, conditions at presence locations of the taxa were contrasted with conditions in 12 000 randomly sampled points from the open ocean using MaxEnt models. We used the quartiles of the response curves of these models to parameterize realized niche centers and niche breadths: the median (q50) of the response curves was considered to be the niche center and the distance between the lower quartile (q25) and the upper quartile (q75) was used as a rough estimate of niche breadth. We only reported meaningful niche estimates, i.e., estimates based on MaxEnt models that perform significantly better than random, as indicated by an area under the curve (AUC) score significantly larger than 0.5.