Complex NAPL Site Characterization Using Fluorescence Part 3: Detection Capabilities for Specific Excitation Sources

Non-aqueous phase liquid (NAPL) contaminants comprised of polycyclic aromatic hy drocarbons (PAHs) can be detected using fluorescence spectroscopic methods. Dense non-aqueous phase liquid (DNAPL) contaminant source zones can be delineated us ing commercially available cone penetrometer (CPT)devices by detecting commingled oils fuels, and naturally occurring organic materials entrained by DNAPLs and carried to depths below the water table. It has been demonstrated that commercially avail able CPT based fluorescence detection systems can be ranked based on how effectively their excitation source wavelengths induce fluorescence using excitation emission ma trices (EEMs). Several neat NAPLs and dilutions with selected DNAPLs were analyzed for specific fluorescence characteristics to determine the optimal excitation source for site characterization efforts. A comprehensive spectral library and corresponding opti mization matrix were generated for complex petroleum mixtures. Based onfield results documenting successful indirect CPT fluorescence detection of a DNAPL source zone, aviation and dieselfuels were selected from this library, diluted with chlorinated sol vents, and evaluated for fluorescence characteristics. Dilution of these complex NAPL mixtures led to changes in the corresponding EEMs. The optimal excitation source for aviationfuel remained relatively constantf or each dilution. However, sensitivityf or each of the commercially available CPT excitation sources was strongly dependent on diesel concentration, whereby higher energy (lowerwavelength) sources yielded improved sen-sitivityfor lower concentrations. Since field concentrations can be highly variable, these observations support the need for multiple wavelength excitation sources for optimal detection capabilities, particularly when diesel fuel ispresent.     

A yellow–green algal symbiont in the freshwater sponge, Corvomeyenia everetti: convergent evolution of symbiotic associations

1. A previously undescribed symbiotic relationship is reported between the freshwater sponge Corvomeyenia everetti , which occurs throughout eastern North America, and a yellow-green alga.
2. Ultrastructural and pigment analyses place the algal endosymbiont within the class Eustigmatophyceae in the division Heterokontophyta.
3. The relationship of the alga with C. everetti appears to be specific and it contributes significantly to the energy budget of the host.
4. Although the growth form of C. everetti is very similar to other freshwater sponges that usually have green-algal symbionts, its phylogeny has been proposed to be quite distinct, suggesting convergent evolution by both algae and sponges in the development of symbiotic associations in fresh water.     

Quantifying Landscape Ruggedness for Animal Habitat Analysis: A Case Study Using Bighorn Sheep in the Mojave Desert

Abstract: Terrain ruggedness is often an important variable in wildlife habitat models. Most methods used to quantify ruggedness are indices derived from measures of slope and, as a result, are strongly correlated with slope. Using a Geographic Information System, we developed a vector ruggedness measure (VRM) of terrain based on a geomorphological method for measuring vector dispersion that is less correlated with slope. We examined the relationship of VRM to slope and to 2 commonly used indices of ruggedness in 3 physiographically different mountain ranges within the Mojave Desert of the southwestern United States. We used VRM, slope, distance to water, and springtime bighorn sheep (Ovis canadensis nelsoni) adult female locations to model sheep habitat in the 3 ranges. Using logistic regression, we determined that the importance of ruggedness in habitat selection remained consistent across mountain ranges, whereas the relative importance of slope varied according to the characteristic physiography of each range. Our results indicate that the VRM quantifies local variation in terrain more independently of slope than other methods tested, and that VRM and slope distinguish 2 different components of bighorn sheep habitat.