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Full-Text Articles in Life Sciences
Generalized Additive Models Used To Predict Species Abundance In The Gulf Of Mexico: An Ecosystem Modeling Tool, Michael Drexler, Cameron H. Ainsworth
Generalized Additive Models Used To Predict Species Abundance In The Gulf Of Mexico: An Ecosystem Modeling Tool, Michael Drexler, Cameron H. Ainsworth
C-IMAGE Publications
Spatially explicit ecosystem models of all types require an initial allocation of biomass, often in areas where fisheries independent abundance estimates do not exist. A generalized additive modelling (GAM) approach is used to describe the abundance of 40 species groups (i.e. functional groups) across the Gulf of Mexico (GoM) using a large fisheries independent data set (SEAMAP) and climate scale oceanographic conditions. Predictor variables included in the model are chlorophyll a, sediment type, dissolved oxygen, temperature, and depth. Despite the presence of a large number of zeros in the data, a single GAM using a negative binomial distribution was suitable …
Optical Contrast Of Oil Dispersed In Seawater Under Windy Conditions, Z. Otremba, O. Zielinski, Chuanmin Hu
Optical Contrast Of Oil Dispersed In Seawater Under Windy Conditions, Z. Otremba, O. Zielinski, Chuanmin Hu
C-IMAGE Publications
Oil pollution of natural waters represents a serious threat for aquatic ecosystems, and the assessment of the degree of pollution requiresmeasurement strategies including remote sensing and modeling. While surface oil pollution is relatively easy to detect with radar or opticalremote sensing, underwater oil emulsions can only be detected using visible light as an information carrier. Here the Michelson contrast ofsea area polluted by an oil-in-water emulsion under various wind conditions is simulated through Monte-Carlo modeling. The results showthe premise for optimal direction of observations in which the possibility of detecting the emulsified oil is maximized.