||This project includes two tasks: the ordinary works and a special topics. We work ordinarily on updating and maintaining our electronic databank. Thanks to fully computerized automatic system, the ordinary job should run smoothly To assess current stock status and explain the causes of stock recovery. Seral anaytic procedures are taken, including: 1) drawing BNPS data from the databank, 2) preliminary looking at annual trend exhibited by nominal cpues, 3) getting standaridized annual cpue estimations. To figure out intra-annual variation and spatial configuration, we slice the daily-serial data into fortnight period for quantifying spatial configuration of the cpue distribution. Parameters of the semi-variogram will be estimated to depict spatial autocorrelation. We also use estimation and extrapolation to estimate relative available stock size and year-class strength in 1994-2010. In the special topics, we are going to address the recovery of the stock in 2007 ＆ 2008 in the light of reexamining the population status of the Argentine flying squid, and explore the decline in 2009~2010. The mjor working items are: 1) observing current status of SWA squid jigging of Taiwanese fishing fleet; 2) standarding fishing efficiency for each vessel in the fleet; 3) charting annual catch in the SWA fishing ground (1994-2010), and plotting spatial distribution of standarized cpue (annually, monthly ＆ fortnightly); 4) analyzing autocorrelation of cpue and water temperature, and cross-correlation of them; and 5) explaining current resource status. The expect outcomes are: 1) realizing the spatial displays of cpue conditioned at various stock size level - low, regulat and high; 2) explaining the reason of recent low catch due probabily to aberrant geographic distribution of yearly recruitment; 3) awaring spatial distributions of cpue and temperature, and linking the relations between them; and 4) exploring the feasibility of using SST to predict catch size.