Predictions from species distribution models are used to parameterize the environmental factors that influence the biology, distribution, and habitats of a species of interest. We fitted generalized additive models (GAMs) to spatiotemporal fishery data from torchlight fishing (2009-2013) to investigate the catch rates of swordtip squid Uroteuthis edulis in relation to changes in oceanographic conditions within the southern East China Sea, and we developed a habitat preference model. A high Jensen-Shannon divergence (JSD) value is considered to be an index of a thermal front. The results obtained using the selected GAMs revealed that the explained deviance in the catch rates pertaining to the oceanographic conditions was 45.10% throughout the year. All variables examined-sea surface temperature (SST), chlorophyll-a, sea surface height anomaly, and JSD-were statistically significant predictors (P < 0.05), and JSD explained the greatest amount of deviance (17.70%). The model predicted relatively high abundance of swordtip squid at 27-28°N in the southern East China Sea during spring and a decrease from June to August. The high Subject editor: Milo Adkison, University of Alaska-Fairbanks, Juneau

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The bottom-up patterning approach provides intrinsic advantages associated with unlimited resolution but is limited by the materials available for selection. A general and simple approach towards the selective deposition of poly-para-xylylenes is introduced in this communication. The chemical vapour deposition (CVD) of poly-para-xylylenes is inhibited on the high-energy surfaces of electrically charged conducting substrates. This technology provides an approach to selectively deposit poly-para-xylylenes irrespective of the substituted functionality and to pattern these polymer thin films from the bottom up.

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