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The article presents a study which aims to determine the habitat in the Central Aleutian Islands, Alaska with the use of predictive models of corals based on physical features measurement. The study used logistic regression and generalized estimating equation (GEE) to predict the presence or absence of corals from 50 meters to 3000 meters. It says that the location of the study is categorized as north or south of the arc of Aleutian Islands. The results of the study indicate that the models of occurrence of corals on the north of the Aleutian Islands arc are more successful than the models of occurrence in the south area. It also found out that large swaths were identified in the sea floor in 100 and 1700 meters depth with high rugosity and steep slope that can support corals.

Measurements of carbon fluxes in Arctic tundra landscapes are generally obtained through intensive field work and involve the use of chamber and/or micrometeorological tower techniques. However, findings in a variety of nonArctic ecosystems have demonstrated the potential of remote sensing-based techniques (particularly spectral vegetation indices) to provide estimates of CO2 exchange in a more timely and efficient manner. As the firststep towards modelling Arctic regional and circumpolar fluxes of CO2 using remotely sensed data, we investigated the relationships between plot-level fluxes of CO2 and a vegetation spectral reflectance index derived from hand-held radiometric data at two sites. These relationships were evaluated for variations in vegetation cover type and environmental factors using data collected during the short Arctic growing season. Overall, this study demonstrated a relationship between the Normalized Difference Vegetation Index (NDVI) and measurements of mean site gross photosynthesis and ecosystem respiration at two sites in Arctic tundra ecosystems on the North Slope of Alaska. [ABSTRACT FROM AUTHOR]