An Interim Report Sportfishing Creel Census Pilot Study August 1973 Submitted by D. Bowman, W. Brogden and C. Oppenheimer Marine Science Institute Port Aransas, Texas March 15, 1974 to The Lower Nueces River Water Supply District* The sportfishing creel census project was originated to obtain information relating to the use of the Corpus Christi Bay area for sportfishing, the amount of fish caught and other environmental information relating to the total productivity cycles of the bay system. The Census is to be conducted during the summer months of June, July and August 1974 and the pilot study was made during August 1973. The total catch will be used in a current project to assess carbon, nitrogen, phosporous input and output to the bay system. The pilot sportfishing creel census of August, 1973 was conducted for two reasons. As a pilot study, the censusing methods were tested and improved upon for future programs. The information collected will serve to fill the void in sportsfishing statistics in the Corpus Christi area. Basic information not only on fishing but also on individuals fishing and the weather was collected. The 1974 project will be coordinated with the Economic Survey of the Texas Water Development Board and in part with a project being organized by the Texas Parks and Wildlife Division. METHODS In order to facilitate surveillance and to include as many types of environments as possible, the Corpus Christi Bay study area (Figure l) *This study was made possible through a grant from the Lower Nueces River Water Supply District, volunteers from the Marine Science Institute and the cooporation of the Economics Branch of the Water Development Board who provided computer support for the data analysis. I>-\ ,Ir I I .:z: I~ D :I !I I' "' I I"" 1I I I~ , 'I II If ,,,,I II ,,,,,, II I '' ff III' I I1 I I m r ""'')i, I ~~[\ 'I ~'... >~ .t)~,.0->~, ''r :r ~~"'',,,,,, ''Ir I '\ 'r \ I \ \ \ ' I \ \ \ I \ \\ \\\\\ I \\ III Area of Survey Figure l. was divided into four survey districts. The range of the four districts were: (1) Aransas Pass Causeway to Ferry landing to Ingleside (2) Oso pier to Laguna Madre to Bob Hall Pier (3) Port Aransas to the Fish Pass (4) Indian Point Pier to Cole Park Pier There were 2 full time and 4 part-time census takers participating in the creel census. The census takers randomly surveyed the fisher­ person in each of these districts for approximately eight hours per day during varying hours, e.g., 10 AM -6 PM or 6 PM -2 AM. To supplement the personal interviews, three aerial boat counts were made, two on Saturday, August 11 and one on Wednesday, August 15. This was done to get a total count of boats fishing in the census area and to arrive at an approximate number of persons fishing from these boats to compare with ground surveys. The census takers were acquainted with the two forms used (Table 1 and 2). A briefing was given on the type of information sought and the way the information should be recorded on the forms. Table 1 used in the creel census is specifical ly concerned with information received from the individual fisherpersons. This involves not only catch information but also information on where the fisher­ persons are from, how they rate fishing conditions and facilities, and any comments. Table 2 is concerned with climatological information observed by the census takers. The wind direction and velocity were taken from the radio weather reports until the census takers became familiar with the two. The barometer reading was also taken from the radio. To take air and water temperatures, the census takers c.KEE L ~c!'lSUS August 1973 (12_ Lbcation· of· interview, (2) location where fishing done ( Biotope)(3) positior. (4) date of interview, (5) time of interview, (6) no. of hours fishing (7) species, number, weight, no. of hooks, bait c c c c c c (8) city of residence, (9) county, (10) state D (11) How many days per year do you fish i;·i salt water in this area E (12) How many days per year do you fish in fresh water F (13) If both good fresh water and salt water fishing are available, which do you prefer. G Rank the following characteristics of this bay that most influenced yourdecision to come here: (14) facilitiesj (15) accessibility, (16) good fishing (17) present water conditions, (18) other H I (19) comments, (20) coded by J TABLE 2 CLIMATOLOGICAL DATA :~:mth (2) date (3) time (4) Location (5) wind direction (6) wind velocity (7) cloud cover (8) barom2ter reading (9) air temp. (10) water temp. \ were supplied with a thermometer. For identification and naming of the fishes several references and preserved fishes were used. final list of fish are appended as taken from the literature. reference list included: The The Food and Game Fishes of the Texas Coast. Bulletin #33. Publ. by the Texas Game & Fish Commission. 1954. 68 pp., A List of Common and Scientific Names of Fishes from the United States & Canada. 1970. American Fisheries Society, Special Publ. #6. 150 pp., Key to the Estuarine & Marine Fishes of Texas. 1972. Texas A&M Seagrant Publication. 178 pp., and Moore, R. and H. Hoese. Unpublished manuscript. (also a key on the fishes of Texas) After the month of surveying, a meeting was held by all participants to critique the forms and discuss any suggestions for the future survey. As the forms were received, they were checked for errors, and then sent to the Texas Water Development Board, Data Processing Division, for keypunching. The punched cards were used to generate a data file on magnetic tape at the UT computation center, and this file was used as input to a program which read the individual interview sheets, and produced a file of data which could be read by a generalized data management program, ENVIR (Environmental Information Retrieval). This program has been used for several different types of environmental information at the Marine Science Institute. The data file was programmed on the University of Texas timesharing computer system, TAURUS, through a teletype terminal at the Marine Science Institute. The ENVIR program has provision for storing numerical or alpha­numeric data with considerable flexibility, so that normal biological nomenclature can be used instead of codes. Commands to the program are formulated in natural language under simple syntax rules which are relatively easy to learn. The basic unit of information which is manipulated is called an 11item11 , each item is composed of a number of descriptors, and each descriptor has a characteristic state for each item. Table 3 shows the descriptors used for the creel census data bank, with an example item. A separate item was generated for each different species caught, as reported on the interview sheet; in addition, a summary item was generated for each interview, containing the total number of fish caught, the total weight, and the word 11total11 for the species descriptor. The climatological data will be incorporated using the additional descriptors shown in the Table. After reading the creel census items, ENVIR produced a condensed form of the data, called a data bank, and a vocabulary of all terms used in the data bank. The data bank was stored on magnetic tape at the computation center and examined for misspellings and incorrect use of the various descriptors. Any errors were corrected in the ENVIR data bank, by special 11 correction11 commands. Finally, ENVIR was used with the corrected data bank, to selectively retrieve the creel census data to produce the various . types of information reported in the 11results11 section. Several different forms of data retrieval are possible using ENVIR; selected data can be printed on the teletype, or at the central computer site, or data can be prepared for further processing by additional programs. In order to produce the totals of weight, hook-hours, etc. as reported in the results section, a program was written to summarize and tabulate the individual interview results. TABLE 3 CREEL CENSUS DATA BANK DESCRIPTORS Descriptor Type Size Example Creel Census Data Bank Descriptors (cont.) Number Name 1 LOCATION NAME 240 OSO PIER 2 BIOTOPE NAME 120 OPEN BAY 3 POSITION NAME 30 WADE 4 MONTH NAME 40 AUG 5 DY ORDER 1 to 31 8 6 YR ORDER 1970 to 1984 1973 7 TIME ORDER 0 to 2500 1230 8 HOURS FISHING ORDER 0 to 120 2 9 SPECIES NAME 400 C'YNOSCION NEBULOSUS 10 NUMBER CAUGHT ORDER 0 to 500 2 11 WEIGHT ORDER O to 15000 8 (ave wt in 0.1 lbs) 12 HOOKS ORDER 0 to 250 4 13 BAIT · NAME 200 CUT MULLET 14 RESIDENCE NAME 400 AUSTIN 15 COUNTY NAME 240 GOLIAD 16 STATE NAME 100 TEXAS 17 FISH SALT DAYS ORDER 0 to 366 10 18 FISH FRESH DAYS ORDER 0 to 366 20 19 PREFER TO FISH NAME 20 SALT 20 RANK FACILITIES NAME 20 3 21 RANK ACCESS NAME 20 2 22 RANK FISHING NAME 20 1 23 RANK WATER NAME 20 4 24 RANK OTHER NAME 240 1 FREE BEACHES 25 COMMENTS NAME 500 FISHING WORSE THIS YEAR Descriptor ~ Size Example Number Name 26 C'ODED BY NAME 120 LI'IWIN 27 BATCH ORDER 0 to 100 1 28 SHEET ORDER 0 to 5000 1500 29 WIND DIR NAME 30 SE 30 WIND VEL ORDER 0 to 60 10 31 CLOUD C'OVER NAME 20 1 32 BAROMETER ORDER 2800 to 3200 2925 33 AIR TEMP ORDER 0 to 125 80 (deg. F) 34 WATER TEMP ORDER 0 to 125 70 (deg. F) RESULTS These data have been evaluated and are presented only for research purposes as they relate to a preliminary .feasibility study for one month as a pilot project. We have shown the data for several parameters to illustrate how the information can be used and to correct our interview process. Some of the results are pertinent however, such as the total number of fishermen, their home base etc. We ITU.1st emphasize that no generalizations can be made from the data at this time. The creel census data bank consisted of 1955 total interviews. During the 28 days of the survey there were 16225 fish caught weighing a total of 12206 pounds. Instead of counting the number of fisherpersons, the number of hooks used by the fisherpersons were counted. During the month 4237 hooks were fished for 6218 hours. Our best estimate indicates that this represents 20% of the total f isherpersons during the survey period. Of the 1955 total interviews 940 are from residents of the Corpus Christi Bay area, which includes Corpus Christi, Aransas Pass, Flour Bluff, Portland, and Ingleside. Residents from other areas are listed in Table 4. Of the total persons surveyed 37% preferred salt water, 7% preferred fresh water, 6% had no preference, and 50% did not answer the question. On Saturday morning, August 11, the aerial survey of the creel census counted 164 boats, on Saturday afternoon 184 boats were counted, and on Wednesday morning, August 15, 147 boats were counted. The Saturday census takers interviewed 16 boatmen, all after 1200. This represents about 10% efficiency of fishing boats surveyed by land as compared to air. Wednesday 6 boatmen were interviewed, also all after 1200 hours. An overall estimate of fishermen per boat for the "' '~ , .; w USEkS ON LlNE l.l! 0Nn. OF I1E~S JN QUERY RES~ONSE = 5401 NQ. OF IlEMS IN 1HE DATA BANK = 5.l!01 PERCEN1AGE OF RESPONSE/TOTAL DATA BANK =100.00 ALAS FAIRBANKS ARIZ . CASHION TUSCON AUSTRIA CALIF' FRESNO LOS ANGELES CANADA COLO DENVER FLA MIAMI LAKES ILL CHICAGO ED l·iARDS VILLE EVANS10N NORTH LAKE i-'AX TON SlREAMWOOD IND BLOOMINGTON EVANSVILLE IOWA DES MOINES SIOUX CITY KAN LAWRENCE LA DE RIDDER NElv ORLEANS MASS BROOK FI ELD MEX MATAMOROS MICH ADRIAN HOLLAND YPSILANTI MINN ST PAUL MO JOrLIN KANSAS CITY ST LOUIS MONT BILLINGS MONTERkEY MON1 ER REY MEX l CO NEB BEATRICE NDJ JERSEY L/i::-c;1· ~J:"hll TN .... \.; CAl-'E HA11 ERAS N J vJESl BERLIN OHIO GRANVILLE OKLA AL 1 US CAHAGEE CAHNEGIE CHOCTAVJ DUKE EDMOND ENID HOLLENVILLE LA\HON Iv.I DiJES1 CI l'f MUS1ANG OKLAHOMA CI1'f TULSA SAUDI ARABIA DHAHRAN TENN lv.ECV:l-'HIS ABILENEALICE At' AkLING10NAUSTINBAND EH.ABAS1RO.I-'BEEV ILLEBEL10NBISHOI-'BOERNEBRACKENRIDGEBRADYBf\ Oh NS VILLEBRYANBURKBURNETTCAL ALLENCALDl·iELLccCLEBURNECOLLEGE S1ATION COlv.rO RT COMMANCHECONV ERSECOR't'U!:> COVECOTULLADALHARTDALLASDEL RIODENTONDEVINE TEX DRil-'l-'ING SPRINGSDUBLINDH'HANNISEASTLANDEDI NBUkG '· "· (/ ii I'I TEX V f-\J ' • I; EL J"'ASO EULESS EVEkMAN . FALFUkkIAS FALL CI1Y rLOUH BLUFF FOHl S10CKTON FREDErd CKSBURG FREEMON1 F1 vJO k1 H FULTON GALVESTON GARLAND GA1ESVILLE GE Ok GETOviN GOLIAD GkANO t'RAIRIE GkOV ES HAMILTON HONDO HOUS1 ()N I NGLESI OE IRVING JACKSBOF~ I c. • j UP TI ON: NAME NO. OF ST I\ n: ~: ~ l\Jl). OF CELET~~ sTArcs: 0 1-...0. OF OI~TIUNARY E~TRIES LOS9DSSAtNOS 5 lti5l s l 2 3 '> 5 0 23. t-< ANK 'fJATER NOQ Or CHARACTERS IN LON GEST STATE; 14 9PTION: NAME NO .. OF STAH:S: 6 NO• OF OELET~~ STATES; 0 No,. Of OI~TIUNARY E~TRTES LOS9USSA9 NUS 6 1871 b ONLY PIER OPC:N l 2 3 4 5 0 24. RA~K OTHER NO. OF CHAHACTERS IN C,)PTION; NAME . NO. LONGEST STATE: OF STATES: lOo 29 NO. NO. OF OF DELET~~ STATES; 0 OICTIUNARY E~TRIES RESt::RVED: 240 LOS9DSSA9NOS 106 1891 l O~. B E t. ;\J t:H:: F 0 R E BOAT 800KE : VACATION bO b HALL PIER FULL FI f- Ot.i HALL PIER l CMHN HERE l COAST l C:U30W ROOI''• l ENTERTAINMENT FOR Krus .l I-1)l~Mt_ :.( F ~ fREE I l LIVEO HERE BcFORE I I I l NIGHT f I SH l NC:> j l N0T AS CROWDED l OCEAN l PLEASURE l kr:-:LAT.LVES l f~ EL AXAT I 0 N l '..:ifGHTSEEING l SMALL TOW~J l ! HYING OUT l Tin OUT l Vu,CAT.!.ON l V/:\CA Tl ON AHEA l VARIETY OF FISH l vioRK HERE l (VACA -fION) 2 2 AREA 2 lifACH 2 dEA CHC:S 2 COAST 2 f/\MILlARITY 2 FORMERLY STAT HERE 2 h)R;"lt:R RESlOENT 2 FRIENUS 2 H~'\8IT 2 HOUSt:: HERE 2 Pt:OPLE 2 Rr:LA XAT I Oi\I 2 SM' E f' 0 R K I D S 2 Vt\CATION . 2 (HAl:HT) 3 3 tJEACrt 3 bF.:ACHt.:S 3 CLEANt::R AREA 3 LI GfiTEO ~ RECCOMMENOATION 3 "'F.LATlVES 3 V~CATION 4 4 tH'.:ACHt:::S 4 FRIENOS 4 VARIETY Of FISHES 5 5 8t:ACl·it:':S ~ FORMER RESIDENT 5 FREE 5 f KEE + LIGHTED S 0~LVESTON NOT LIGHTED 5 (.;t:T AWAY 5 rl1\tH T 5 LIGHTELl ::> Nt;,:\·J~ 5 NU fRASH ON BOTlOM S Pi~ I CL CHEAPER 5 QUIE TN ESS 5 RE:LATlVES S RELAXATION ~ kEST 5 S/\f E 5 VACATION 5 WOMEr-. 0 25. COMM EN TS NOo OF CHARACTERS IN LONGEST STATE: 3~ OPTION: NAME NOo Or STATES: 123 No. OF nELET~o STATES: 0 No. OF DI~TIONARY E~TRIES RESERVED: 500 LOS9DSS A9N JS 123 2131 123 ACCESS RO ADS IN POOR CONDITION tiAFFIN8AY ti~FFI N bAY FlSHER~EN 8AIT ANO TACKLl TOO EXPENSIVE bEAcHES DIRTlER ThIS YEAR bEACH RESIDENT 8ETTER HERE YESTE~OAY·WATEH WARMER bETTER THAN AV~RAGE DAY ~LUE WATER NEA~ END OF PIER 8UU'( ;3 CALM CAL M CLEAR CAL i-1 WA lER CALM + CLF.Ar~ CAL rvl + RI\ I NY CAL + CLEAR C~\L + MUDDY CAMPSIT~S Too CRO~DED CAT~H FOR PHtVIOUS NIGHT CLC::ARl~A TER CROAKERS CAUGHT IN SURF CUM tHNGS cur D Otrn S t:.XTREMt:LY WINDY FACILITIES CLEANE~ THAN AT GALVESTON f AClLITlES IMPROVED f AVOR!TE AREA UF COAST FERRY LINES Too LONG r· I f\J AN 0 FEAT HE f~ FISrl!NG LIEST IN BAYS FISHING bET TER IN ~AGUNA MADRE FISHING IS.USUALLY BEiTER FlS!"iING WORSt. SINCE CELIA f I~HING WORS~ IHIS YEAR FISH FOU~o l~ ~ILL N~iS FLYROO HAR~ TO GET LIVE 8AIT J JEi-t-iTS NEEU MORE PARKING-CAMPING AREAS NEEU MURE PU~LIC SHOWERS NElO MORE RtSTROOMS NE~u RESTROOM FACILITIES NI CE Pt:OPLt:.: liEHC: NOT ENOUGH CAMP fAC NO dAY SHRIMPERS NO ORINKING WATER ON BEACH NO LIVE UAIT AVAILABLE NO RESTROOMS CLOSE 8Y + LIMITED PARKI~G NO SIUEWALKS OR BATHRCOM OIL OIL IN CHA NNt: L OIL ON SURF ACE OIL ON viJ\TER­01L SLICK ONL.:Y Pit:R OPt:N PA MORE FISHING ORIENTEU THAN GALVESTON PEAT ISLAND PI b~ CRU\·JoE.D PIE~ f I~HING WORSE TOoAY PI~C: FER S F I Sr1 I NG 0 N S0 U TH PAO RE "· PR~FERS INUlAN POINT PRICES Too HlGH PROsLEN WITH SURFERS RAINING RA i N SH 0 \•IE RS REA LLY LIKE FISHING H£R~ kt.US HiROWN tjACI'\ REU ANO SPECS IN BAY YESTERDAY RE0 FISHING POOR THIS Y~AR kEU THRO~JN HACK RETIHEO HERC: ROAOS N~ED REPAIR RUAU TO 050 tiRIOGE IS T~RRIBLE Ii ;1 ROUl;H I' ROUGH MUDDY I ROU GH l•IATER /I ·/ , -::..... ROUGH : fl'IUOD Y .~ SAlL LINE SEV~RAL POMPANO THIS ~ORNING SHA MR OCK BAY SHAf~K RIGS SPECS AT FISH PASS STATIONED AT PORT ARANSAS STRONG CURRENT SUGGEST RENTAL ROWBOATS ... .. 00 MU CH TR ASH ON BEACH lUr\ 1:> l lJ TUf-< 1{ I u-CHOPPY TUkd I U ·CHOPPY TUH dl D + CHOPPY UNUSU ALLY HIG MACKEREL wAT~H LO WER THIS YEAR l~ A T[R MUGOY 'vi ATE R V !;; R Y CLE/~R \'i If'lD Y vi I l\J 11 Y + R 0 UGH W QRS~ IN JULY ANO AUGUST l 3 LARGE SPECS LASl NIGHT 6-r:ooT SWELLS o 26. coo t.u 8 Y NOv OF CHARACTERS IN LONGEST STATE: ll OPTION: NAME . NO• OF ST~TES: 10 No. OF DELETED STATES: O NO~ CF DI~TIONARY ENTRIES RESERVED: 120 LOStOSSA9NQS 10 2631 10 OO Lid S UON~-J A MIGET L lhHN MCl-J1JT T MIGF-:T M WOLFE i\J L) i"lri TEXAS Tr i'J H l Tl:: 0 27• t:lAT CH NO. Of CHARACTEkS IN LONGEST STATE: 3 UPT lON : ORUER NO• OF STATES: 101 . f f~ Or·l O To 100 t:3Y l NO LAt;EL 0 28e SHEl:.T NO. Of CHARACTERS IN LONGEST STATE: 4 OPTI0 1'1J: ORUER NO• OF STATES: sooi f ROM O TO 5000 dY l NO LAt)EL OENDil- OTOTAL RUN TIME IN SECONDS CENTKAL PROcESSOR: 2~5·5?8 o•ooo L.J... TABLE 7 District Weight Number Hours Count 1 1608.l · 1437 530 200 2 7404 6997 3051 848 3 4146.1 4120 1270 445 4 1576.5 2480 1253 458 District 2 showed the highest overall totals perhaps because it was the largest district and had the highest fishing pressure. District 1 had some of the lowest returns because it was surveyed only 5 days a week with no night censusing and was started 4 days later than the other survey districts. Districts 3 and 4 were surveyed as originally planned. B. Daily Breakdown To see if there was any particular day that received either more or less fishing pressure than other days and to test the method of daily surveys the same comparison as above was made. These data are in Table 8. TABLE 8 Sunday Monday Tuesday Wednesday Thursday Friday Saturday Number 3682.0 1847.0 1373 2056 2507 1956 3142 Weight 2969.2 1435.8 947.9 1353.3 1603.2 1321. 3 2242.4 Hours 997.0 605 614 724 506 687 1001 Surveys 335 217 250 302 195 251 405 The number of fish caught and the poundage were the greatest on Sundays while the greatest number of hours spent fishing and the surveys were on Saturdays. Tuesdays were lowest in poundage and fish caught while Mondays were lowest in hours spent fishing and number of surveys. LL C. Time Breakdown The time of day is believed to have some effect on the success of fishing. The results are shown in Table 9. TABLE 9 Time Weight Number Hours Count 0600-1200 922.8 977 528 185 morning 1700-2000 4972.5 4448 1628 547 evening 0600-2000 13419.1 12681 5120 1547 day 2000-0600 1189.7 2204 893 341 night The morning hours were less successful than the evening in all categories. The fact that most fishermen go to work on week day mornings and usually fish after work has some effect on these returns. The day returns were much higher than the night, even though there were a great number of people fishing at night, was shown by the information on 2 nights out of the week. D. Biotope distribution To compare the biotopes as outlined by Oppenheimer & Gordon, 1973, the same type of breakdown was conducted in order to see if any particular environment was preferred by the fishermen. The data are in Table 10. The shallow bay biotope was the highest in all categories, while the hypersaline was the next most successful. The hypersaline biotope is used for the Baffin Bay area or any unrecognized fishing spot in the upper Laguna Madre. The jetty biotope was eliminated as such for most people fishing off the jetty were actually fishing in the channel or shallow Gulf. Very few persons were fishing directly amid the submerged rocks of t he jetty. TABLE 10 Biotopes Weight Number Hours Count Open Bay & Oil Rigs 144.6 112 24 6 Open Bay 365 .8 284 77 20 Bulkhead 80 201 128 64 Channel 1077.2 1348 475 154 Shallow Pass 409.3 707 189 72 Grass Flat 1476.4 915 368 115 Hypersaline 2123.7 1552 669 128 Gulf 10 1 5 2 Inshore Gulf 1346. 2 125 67 12 Shallow Gulf 2045.1 2276 1086 323 Surf 947.7 1510 476 180 Jetty 0 0 1 1 Oil Rig (offshore) 281 19 24 4 Oyster Reef 391.l 777 364 144 Pier 186.6 240 75 21 Shallow Bay 3376 .1 4651 1983 695 Shallow Channel 90.2 50 10 5 E. 15 Major Species and Baits Table 11 shows results concerning the success of the various baits used to catch the different species of fish. Dead shrimp were used by more fishermen, produced mediocre catches per effort, and produced mediocre sized fishes. Gold spoons were highly successful in catching King mackerel, redfish, and speckled trout. King mackerel produced the highest catch per effort of all the species. It becomes obvious from only one return for the combination of cut hard head and croaker, that this combination is not used for some reason. For a comparison between live baits, dead baits, and artificial baits see Table 12. Natural baits were more successful than artificial baits especially for black drum, sheepshead, and blue crabs. On a total weight basis, dead baited hooks caught more fish than live bait except speckled trout and sheepshead. However, live bait caught more fish per unit effort than dead bait. F. Sportfishing vs. Commercial Fishing To see how the creel census poundage information compared with the commercial poundage, the Texas Parks &Wildlife Commission fishery statistics for Corpus Christi Bay, Nueces Bay, and upper Laguna Madre during August 1973 and 1972 were used in Table 13. CREEL DATA ANALYSIS Species Hours Hooks Number Caught Total fish Weight(lbs) Hook Hours Catch/ Effort Bait Average fish Size (lbs) Spotted Seatrout II II IT TT TT TT IT II II II II II II II IT II II II 1735 221 1046 17 54 10 9 68 12 4 675 98 258 6 32 3 3 13 l 66 3017 149 2205 40 21 4 2 109 45 4 3663.9 150 2758.7 37 40.8 17 8 89 36 5.2 3358 425 1487 23 161 10 27 116 12 264 1,091 .353 l.855 l.000 .253 1. 700 .296 .767 3.000 .020 all baits dead shrimp live shrimp all color worms cut bait cut croaker cut bait & eel cut pinfish flies dead shrimp & l.214 l.016 l. 251 .475 1.943 4.250 4.000 .817 .800 l. 300 cut croaker II II 17 66 13 16.5 282 .059 dead shrimp & l. 269 cut bait II II II IT IT IT IT IT IT IT II II II IT II IT IT II IT II IT II 25 55 9 6 3 5 2 l 22 3 15 4 11 2 3 1 3 l 3 35 2 7 44 120 12 25 l 14 l l 69 l 30 52 198 16 25 .8 7 3 1.5 90.5 l 30 19 63 9 18 3 15 2 3 69 6 34 2. 737 3.143 l.778 l. 389 .267 .467 1.500 .500 1.312 .167 .882 gold & silver spoons gold spoon lure humpy lures live pinfish live shrimp & red worms live threadfin orange &yellow lure plastic worm red & orange worms red worm 1,182 l. 650 l.333 1.000 .800 .500 3,000 1.500 l. 312 1,000 1.000 II IT IT IT II II II II IT II IT IT IT II II II II IT 13 4 15 23 12 6 3 4 5 3 l 6 6 11 3 l 3 4 4 2 l 29 30 7 10 32 10 6.5 l 4 29 29.5 7 10 30. 5 11 13 4 90 25 42 18 3 117 10 .500 . 250 .044 1.160 .702 .389 3.333 • 261 1.100 silver spoon spinners squid white worm yellow worm yellow &red lure live bait jigs/speck rigmirror lure l.625 •500 4.000 l.000 .983 1.000 l.000 .953 l.100 r Species Number Total Hook Catch/ Average Hours Hooks Caught Weight(lbs) Hours Effort Bait Size (lbs) Sand Seatrout 1018 690 2676 2030.8 2213 .918 all baits .759 TT II 11 31 6 3.6 98 .037 all color worms • 6 TT II 182 119 159 162.l 565 . 287 cut bait 1.019 II TT 51 167 713 571. 3 647 .883 cut bait & dead shrimp .801 II IT 20 7 28 27 24 1.125 cut croaker .964 Tl TT 114 53 206 165.6 177 .936 cut croaker & pinfish .804 IT IT 623 402 647 508.9 1435 .355 dead shrimp • 787 TT TT 14 2 42 33 14 2.357 ribbonf ish • 786 TT II II TT 4 2 66 2 500 2 250 .4 264 4 .947 dead shrimp & cut croaker .1 dead shrimp & cut perch .5 • 2 TT TT 10 2 13 12.l 10 1.21 spoon • 930 TT TT 38 4 69 73.5 38 1.934 jig 1.065 TT II 17 8 39 17.9 50 • 358 red worm .459 TT IT TT TT 91 5 55 3 173 l 133.3 .5 194 15 • 687 .033 live shrimp live shrimp & red worm • 770 .5 IT TT 6 l 60 48 6 8 plastic worm .8 IT IT 2 3 12 seine 4 IT TT IT IT 21 2 23 2 17 2 13. 8 1 56 4 .246 .25 squid shrimp & cut ribbonfish .812 • 5 Tl IT 20 12 12 9.1 70 .13 speck rig .758 Atlantic Croaker 1283 1011 2186 1069.8 3107 .344 all baits .489 IT II 249 205 285 110.5 861 .128 cut bait • 389 IT Tl 66 132 391 273.2 465 .588 cut bait &dead shrimp .699 II IT 6 2 12 3.6 12 . 3 eel . 3 IT TT 29 15 50 23.3 48 .485 cut pinfish .466 Tl IT 95 32 106 86.9 149 .583 live shrimp •82 IT IT l l l .2 l . 2 cut mullet .2 II IT 21 5 57 28.5 388 .073 cut croaker . 5 IT Tl 972 638 1213 516 2365 . 218 dead shrimp • 425 IT II 11 7 ll 4.3 42 .102 ribbonfish . 39 - IT IT TT IT II TT 36 4 13 36 l 32 51 2 7 15.9 .8 7.2 118 4 99 .135 .2 .073 squid dead shrimp & squid plastic ,..-orm & • 312 .4 1.02 all color ,,-orm Black Drum 77 62 46 75.4 176 .428 all baits 1.639 IT Tl 5 l l 3 5 .6 cut pinfish 3 ~ IT TT 74 47 40 62.9 168 .374 de2d shrimp 1.573 (. IT IT 14 6 3 8 54 .148 live ~'.Lrimn 2.667 TT Tl 8 46 2 1. 5 184 .008 dead sr..ri::-,') & cut bait .75 "--l... <:::::<:::::..i... ...._, ........................ r-i..o. ~--_._y ........ _._ ........ ,--·~-•/ Species Hours Hooks Number Caught Total Weight(lbs) Hook Hours Catch/ Effort Bait Average Size (lbs) Gafftopsail Catfish !! II 609 97 503 43 458 54 637.3 172. 8 2445 212 .261 .815 all baits cut bait 1.391 3.200 II II 35 148 30 58.1 594 .978 cut bait & dead shrimp 1. 937 II II 13 7 5 4.3 22 .195 cut croaker .86 !! II 7 2 2 10 14 .714 cut pinfish 5 II II II II 356 4 193 66 321 5 265 15 1102 264 .240 .057 dead shrimp dead shrimp & .826 3 cut croaker ti II 24 18 10 38.3 61 •628 eel 3.83 II Tl 4 2 1 2 8 .25 eel & squid 2 !! II 1 1 1 1 1 1 gold spoon 1 Tl II 5 1 3 1. 5 5 • 3 jig • 5 II II 12 11 9 10.8 31 .348 live shrimp 1.200 Tl II 5 1 1 3 5 .6 plastic worm 3 II II ti II 46 3 12 2 17 l 54.5 5 132 6 .413 .833 squid squid & cut mullet 3.206 5 Southern Kingfish II II II II . 176 19 9 136 15 3 392 10 5 266.8 3.3 2.0 483 57 27 .552 . 058 .074 all baits cut bait cut bait & eel .681 • 33 .4 II II 6 2 3 3.0 6 • 5 cut pinfish 1 II II II II 153 4 84 66 147 100 92.9 100 376 264 • 247 • 379 dead shrimp dead shrimp & • 632 1 cut croaker fl IT 14 106 106 54.7 408 .134 cut croaker & .516 cut bait II II 4 2 3 .9 8 .113 live shrimp • 3 fl II 9 4 2 1. 36 .028 ribbonfish • 5 !! II 2 2 2 1. 4 .25 spoon • 5 ti II 8 14 15 8.3 42 .198 squid .553 Gulf Kingfish tr II 580 39 375 12 642 16 480.6 11.1 1517 129 • 317 .086 all baits squid .749 • 694 II II 1 2 1 .1 2 .05 crab & squid .1 II !! 108 68 94 96.6 321 .301 cut bait 1.028 II II 6 10 15 18.9 20 .945 dead shrimp & cut bait 1. 260 II Tl II II 354 2 263 1 469 1 325.6 .5 913 2 • 338 .25 dead shrimp dead shrimp & .653 • 5 r-­ cut croaker II II 14 6 11 8.9 22 •405 live shrimp .809 Tl II 1 2 1 . 3 2 .15 speck rig • 300 II fl 47 8 18 14.5 90 .161 cut pinfish .81 Species Pinfish TT Tl TT Tl TT Tl Tl Tl Tl TT TT TT TT TT TT Tl TT Red Drum TT Tl TT Tl TT TT Tl TT TT Tl Tl TT TT Tl Tl Tl TT TT Tl Tl Tl TT TT Tl TT Tl Tl Tl Tl Tl Tl TT Average Number Total Hook Catch/ Hours Hooks Caught Weight(lbs) Hours Effort Bait Size (lbs) lll8 875 2133 557.5 3228 .173 all baits .261 worms .1 2 20 1 .1 40 .003 .5 2 • 25 crab & squid .l l 2 5 148 128 259 67.5 386 . 175 cut bait .261 57 116 200 48.0 459 .105 cut bait & dead shrimp • 24 12 4 45 15.0 19 .789 cut pinfish .333 3 2 3 1. 2 6 . 2 cut pinfish & ribbonfish .4 772 511 1502 400.7 1920 • 209 dead shrimp .267 6 2 6 2.4 12 .2 eel .4 .2 2 .l dead shrimp & • 2 2 l 1 cut croaker 2 2 10 2. 4 • 5 dead shrimp & .2 cut perch 32 23 47 9.3 66 .141 live shrimp .198 . 3 l .3 orange worm • 3 1 l l 15 6 5 1.0 90 .Oll ribbonfish • 2 4 2 4 .6 4 .l5 silver spoon .15 12 6 8 l.6 24 .067 speck rig . 2 4 1 2 .2 4 .05 spinners .1 57 58 64 12.9 218 .059 squid • 202 855 367 844 2126.2 1732 1.228 all baits 2.519 83.4 173 . 482 all color worms 2.383 30 58 35 29 18 9 14.8 97 .153 cut bait 1.644 24 14 10 7.8 64 .122 cut bait & dead shrimp .78 26 .769 cut pinfish 2.857 22 9 7 20 315 160 331 750.3 729 l.029 dead shri::~:> 2.267 2 gig 2 l l l 2 l 33 5 31 ll2 33 3.613 spoons 3.393 24 l l 1 24 .041 jig 1 25 9 45 125 43 2.907 gold s poon 2.778 9 10 .9 live mullet 3 2 5 3 4 7 8 5.3 14 • 379 squid .663 327 72 296 747.1 473 1.579 live shri-:-.:i 2.524 4 3 13 32.5 12 2.708 mullet 2.5 9 3 l 4.0 27 .148 live pinf::.s:-i 4 l 1 4.0 2 2 live threa-:-::::=::.:--. 4 42 l 2 8 4 2 silver s;,;co::. 4 "a Species Hours Hooks Number caught Total Weight(lbs) Hook Hours Catch/ Effort Bait Average Size (lbs) Sea Catfish Tl !! 1208 8 892 1 1905 2 811. 5 1.6 2877 8 •282 . 2 all baits all color worms .426 .8 !! !! Tl !! !! !! 225 1 67 137 2 85 197 10 107 76.8 4. 0 38.0 744 2 322 .103 2 1.18 cut bait cut bait & croaker dead shrimp & cut croaker . 39 .4 .355 !! !! !! !! 37 9 18 3 67 4 39.8 1. 6 53 27 .751 . 059 cut pinfish cut bait & eel .594 .4 !! !! 971 635 1220 521. 2 2456 . 212 dead shrimp .424 !! !! 1 2 2 1.0 2 .s eel .5 !! !! !! !! !! !! !! !! !! !! Tl !! !! !! Tl !! Tl !! !! !! !! !! Sheepshead !! !! !! Southern Flounder !! !! 3 4 4 2 4 5 2 105 86 2 4 45 1 15 29 135 14 2 66 1 2 2 1 1 77 43 2 1 40 l 14 25 58 2 3 so 4 5 2 15 1 141 69 1 l 29 2 13 14 74 5 .6 25 .0 1.2 1.0 .6 7. 5 . 3 50 . 8 41.1 . 3 . 2 46.7 2 12. 8 31. 9 102. 7 17.0 6 264 4 4 8 5 2 359 158 4 4 106 l 34 71 246 14 .1 cut ribbonfish . 095 dead shrimp & cut croaker .3 dead shrimp & squid . 25 dead shrimp &cut perch . 075 eel & squid 1.5 jig .15 live fish .142 squid .260 live squid . 075 speck rig .05 yellow worm & cut bait .441 all baits 2 crabs •376 dead shrimp .449 live shrimp ,417 all baits l.214 plastic worm & .2 • 5 • 3 • 2 • 3 . 5 . 3 • 360 • 596 • 3 . 2 l.610 1 .985 2. 279 l. 388 3.4 all color worm !! !! !! !! !! !! 12 22 10 3 6 8 8 2 2 13.4 1 . 5 . 6 12 68 36 1.170 .022 .017 gig cut bait cut bait & dead shrimp 1.675 . 75 .300 !! !! 58 29 22 39 . 3 126 . 312 dead shrimp 1. 790 !! !! 51 15 22 26. 7 79 . 338 live shrimp 1. 213 !! !! 5 5 l .6 25 .024 mullet .600 !! !! 8 l 12 136 8 . 450 lure • 300 1':: lC' Species Number Total Hook catch/ Average Hours Hooks caught Weight(lbs) Hours Effort Bait Size (lbs) Spanish Mackerel TT Tl 57 3 29 4 40 3 57.7 8.0 115 5 • 502 1.0500 all baits cut bait 1.443 2.667 Tl Tl 9 3 1 l.O 27 . 037 cut bait & lure l.000 Tl Tl 12 10 8 31.0 29 1.069 ribbonfi sh 3. 875 Tl Tl Tl Tl 5 14 3 5 4 21 2.3 13.5 8 23 .288 .587 dead shrimp jig .575 • 643 Tl II 9 2 l 0. 4 18 . 222 lure . 400 Tl IT 3 l l l.O 3 .333 spoon l.000 II II King Mackerel 2 52 l 35 l 146 0.5 2150.0 2 224 . 250 9.513 squid all baits .500 14.73 Tl II 9 3 9 180.0 27 6.67 cut bait & lure 20.000 TT Tl II II 7 6 l 3 4 8 80.0 80.0 7 18 11. 428 4.444 gold spoon red & white feather jig 20.000 10.000 Tl Tl 4 2 20 260.0 8 32.5 revel lure 13.000 IT Tl 59 26 105 1550.0 164 9.451 ribbonfish 14.762 Blue Crab 306 ~69 1159 532.6 917 .581 all baits .460 IT Tl 98 134 539 264.l 287 . 920 chicken .490 Tl II 2 12 4.8 chicken & hardhead .4 IT II 62 57 118 44.2 166 . 266 cut bait .375 Tl TT 9 3 6 1.8 27 .067 cut bait & eel • 3 II II 3 14 20 12.8 14 .914 cut hardhead .64 TT Tl l 5 4 .8 5 .17 "' cut hardhead & croaker . 2 II II ll 19 89 41.8 25 l. 672 cut mullet .470 II Tl 3 7 14 5.8 9 .644 cut mullet & pinfish . 414 Tl II 120 85 154 55.6 429 .130 dead shrimp .361 II II 14 26 87 42.l 86 . 490 fish head . 484 Tl TT 8 10 7 2.9 22 .132 live shrimp .414 TT Tl 4 l l .4 4 .1 pork rind .4 TT II 15 6 3 l.5 90 .017 ribbonfish . 5 Tl II 2 2 l . 3 4 .075 shrimp & cut ribbonfish . 3 II TT 6 9 52 26 18 l.444 soupbone • 5 Tl II 8 10 5 1.8 26 .069 squid .36 II Tl 5 9 55 27.5 25 1.1 stew meat . 5 TABLE l2 Live Bait Dead Bait Natural Bait Artificial Bait 'N..2l:J Species Total Weight Total Weight Total Average Catch/ Average Ca.tcl-1/ Average Catch/ Average Total Weight Cat ch/ Dead Bait Natural Artificial Effort Si ze Effort Size Effort Size Li ve Bait Eff ort Size l.081 1.231 1.240 1.201 2772.5 330.59 3103 601. 5 Spotted Seatrout l.855 l.251 .240 l.091 .S43 .748 . 551 .749 • 60 4 .825 133.3 1732.l 1865.4 164. 2 Sand Seatrout .687 .770 .470 . 239 . 48 7 .073 l.020 86.9 976.3 1063. 2 7. 2 Atlantic Croaker • 583 .820 .227 67.4 7S.4 l.639 8 Black Drum .148 2.667 .l89 l.567 .l83 0 .348 l. 200 .259 1.401 .260 1.397 .soo l.100 10.8 625 635.8 5.S Gafftopsail Catfish .113 • 300 .218 •684 • 217 .681 .250 .soo .9 265.2 266.l 1 Southern Kingfish .732 .150 • 300 8.9 449.3 458.2 • 3 •40S .809 .304 .731 • 306 Gulf Kingfish 9.3 S51. 4 S60.7 2.8 .263 .176 .26l .038 .17S Pinfish .141 .198 .177 Red Drum l.492 2.539 .882 2.198 l.097 2.349 1.189 2.889 764. l 830. 7 1S94 .8 329. 4 .sos 41.4 761.6 803.0 9.6 Sea Catfish • 259 .S91 .179 .420 .182 .427 .4S7 12.8 46.7 0 • 376 .985 .441 l.610 33.9 Sheepshead .471 2.119 68. 7 53• 206 1.402 2.409 3.118 26.7 42 Southern Flounder . 338 1.213 .16S l.S56 41.8 41.8 14.9 2.613 • 339 .648 Spanish Mackerel .950 2. 613 .950 1S50.0 420.0 12.727 13.125 1S50.0 King Mackerel 9.451 14.762 9.451 14.762 2.9 S29.7 S32.6 0 Blue Crab .132 .414 .436 .457 .431 .456 Lf­ TABLE 13 Aug. 1973 Creel Census •. •< Aug. 1973 Corrun. Fishing Stat/: Aug. 1972 Comm. Fishing Stat.~·: Croaker 1069·. 8 7846 0 Redfish 2126.2 33970 21273 Flounder 102.7 513 633 Trout 5694.7 29054 20373 Crabs 532.6 0 963 Black Drum 75.4 12833 41504 Gafftop 637.3 860 0 Sheepshead 46.7 769 2405 Pompano 16.2 3 154 In some cases the 'creel census poundage is very close to the commercial poundage, so if the total estimated sport fishing population (present data x5) had been surveyed, the sport fishing poundage would have exceeded the commercial poundage. It has been suggested that the reason that no crabs were reported during August 1973 in the commercial fishery report :is that the crabs are shipped to Palacios for processing and missed being counted. CONCLUSION The pilot creel census of August 1973 indicated that only minor changes were necessary to fulfill the two main purposes of the Surruner 1974 summer study to supply sportsfishing statistics on the local area. Sampling will be extended to a 24 hour basis to cover night and afternoon fishing effort. Since August, both Tables 1 and 2 have been revised (Tables 14 & 15), to add more needed information and to simplify the filling out *Texas Parks and Wildlife information on commercial fish catch. 'l'ABLL 14 Water Development Board and University of Texas Sport Fishing Creel Census (1) site (2) date (3) time (4) interviewer (5) biotope (6) position A (7) species (8) # caught (9) # kept (10) average (11) # hooks (12) bait B weight B B B B B B B (13 ) # hours fishing (14) check if previously (15) total duration of trip interviewed c /7 (16) city of residence (17) county (J.8) type of outing family other D /7 /7 (19) # person in party (20) # under 18 (21) total expected cost of trip E (22) How many days/yr. do you fish (23) freshwater'? · ·(24) preference in saltwater in this area? F TABLE l5 CLIMATOLOGICAL DATA ) Month (2) date (3) time (4) Location (5) wind direction (6) wind velocity (7) cloud cover (8) barometer r eading (9) air temp. (10) water temp. (11) total -,; fishing (12) total inter~ · ·viewed (13) .. tid&.1­flm-1· ' ' ' ' ' , ' ' ' ' ) ' ' ' ' ' ' ' , , , ' , ' , ' ' , , , , ' , ' ' ' ' , ' , ' ' ) ' ' ' ' ' ' ' ' ) ' ' ' ' ) ' ' ' ) ' ' ' ' ' ' ' ' ' ' ' ' ' , .... ' ' ' ' ' , ' ' ' ' , ' ' ' ' ' ' ' , ' ' ' ' , ' , ' ' ' ' i ,I ' ' ' ' , ' ' ' ' ' ' ' ' I '' ' ' ' ' ' ' ' ' ' \ ' ' ' ' ' ' ' ' \ \ \ 'A ~...,. procedure. The ranking question of the original survey form was dropped because of the confusion of the fishermen in answering the question. Also, a complete information guide has been written in order to .assist the census takers while they are in the field. District 2 will be split in future surveys, so instead of 4 survey districts there will be 5. There will be 5 barometer stations established, one in each district in order to achieve better climatological results. The climatological data of August 1973 has not been processed and will be discussed at a later date. The future creel census will be run in the same manner as previously discussed except for the above changes as shown in Table 16 Instructions. At present, January-June 1974, approximately 50 students from 5 area high schools are participating in the creel census as volunteers which will provide some continuity. The summer program will be conducted during June, July and August of 1974. From the effort evaluation we have concluded that the August data represent 20% of the total effort in the system. This indication will be used to determine the creel census efficiency during the summer of 1974. Budget Summary Total funds available from Lower Nueces Water District were $1500. Salaries (7 persons) and mileage (10¢ mile) $ 1,287.79 Aerial survey and comrIU.lnications, etc. 212.21 TABLt, 16 GENERAL INSTRUCTIONS (CENSUS SHEET) 1. ~or a given category and situation, try to use a descriptor which i s already in the dictionary instead of creating a new one. For e~am~le, for the category position: "shore" is already in the dictionary; do not use "bank" since for our purposes it means the same a s "shore" . 2. Whenever you find i.l : dtuatJtin i1ut cJJ:r•oc1•"Jy rlt:d ii11-~1J i11 I J1e ii.i_ril_j1,1 1d f"/; create a new descriptor, but be sure to add it to ti~ dictionary. 3. Uniformity in spelling, word order, spacing, and punctuation is necessary. Although "dead shrimp" and "shrimp-dead" mean the samething they would be listed as two separate descriptors in the databank. 4. The symbols: "," (comma) "and" "or" "for" ''with" "not" have special meaning to the ENVIR program. They can't be used within anydescriptor. (a) In place of "and", use "+" (plus) (b) I n place of"," (comma ) use"-" (hyphen) 5. Any descriptor state not known should be left blank. Commas must be included between all blanks unless at the end of a line. 6. The letter 11 0 11 should_be written "¢". The number "zero is written normally. The number "one" should be written 1. The number "seven" should be written ':/. The letter "zee" should be written ~. 7. Print legibly only in #2 pencil (signatures as well). 8. The following symbols can't be used. & (ampersand) 1 ( apostrophe) 9. Any abbreviations may be used as long as they are recorded as such in the dictionary and explained in the appendix. 10. Any category using numeric descriptors will not accept words of any kind. 11. The numeric categori es: no. of hours fishing, no. caught, no. kept, and no . of hooks should contain only i nteger numbers. 12. For the numeric category no. of hours fishing all values less than one hour should be considered one fiour. For values greater than one hour: round up if one-half or greater, round down if less than one-half. GENERAL INSTRUCTIONS (CLIMATOLOGICAL DATA) 1. The category time will use a 24 hour clock. 2. All date categories will use numbers only and include month, day, year--:rn-that order. 3. The category location should correspond exactly to the location of interview category on the census sheets. 4. The category wind direction will use letter abbreviation (e.g. NW) and should be as specific as 11 SSEn. 5. The category wind velocity should use knots and approximate to the nearest 5 knots (in multiples of 5). 6. All temperatures should be recorded as Farenheit values, with no degree (O) symbols used. 7. No words can be used in any numeric category (e.g. 50F is not acceptable) except for #15. 8. All climatological readings will be taken at specified areas. VOCABULARY (CENSUS SHEET) (1) Location of Interview 1 -Caldwell Pier 17 -Marina Madre 2 -City Pier 18 -Ocean Drive 3 -ccsc 3 19 -Oso Bridge4 -ccsc 7 20 -Oso Pier 5 -Fish Pass 21 -Aransas Pass Causeway6 -Gulf Beach -City 22 -Fin & Feather 7 Gulf Beach lA 23 Hogan' s Ramp 8 -Gulf Beach -l 24 -Mom's Bait Stand 9 -Gulf Beach -2 25 -Redfish Bay 10 -Gulf Beach -3 26 -Bahia Marina 11 -PA Jetty 27 -Indian Point Pier 12 -PA Marina 28 -Paradise Pier 13 -Station St. Pier 29 -T-head 14 -Bob Hall Pier 30 -L-head 15 -Jerry's Marina 31 -Cole Park Pier 16 -Kennedy Causeway 32 -Portland Causeway Boat Ramp ( 2) Location Where Fishing Done (Biotope) l -Bulkhead 8 -River Mouth 2 -Channel 9 -Shallow Bay 3 -Grassflats 10 -Shallow Gulf 4 -Hypersaline 11 -Shallow Pass 5 -Inshore Gulf 12 -Surf 6 -Oil Platform 13 -Open Gulf 7 -Open Bay 14 -Oyster Reef ( 3) Position Bridge Boat Jetty Pier Shore Wade (4) Date of Interview Month Day Year 1-12 1-31 1973 1974 (5) Time of Interview 0005 -2400 (5 minute intervals) (6) No . of Hours Fishing 1-128 (integers) ' tli (7) Species Carcharhinus f alciformis Carcharhinus leucas Carcharhinus lumbatus Rhizoprionodon terraenovae Sphyrna lewini Sphyrna tiburo Raja texana Dasyatis sabina Dasyatis sayi Lepisosteus spatula Elops saurus Megalops altantica Anguilla rostrata Ophichthus gomesi Gymnothorax nigromarginatus Brevoortia patronus Synodus foetens Galeichthys felis Bagre marinus Opsanus tau Centropomus undecimalis Epinephelus nigritus Epinephelus itajara Pomatomus saltatrix Rachycentron canadum Caranx hippos caranx crysos Oligoplites saurus Seriola dumerili Trachinotus carolinus Trachinotus f alcatus Lutjanus campechanus Lutjanus griseus Lutjanus jocu Lutjanus analis Rhomboplites aurorubens Lobotes surenamensis Conodon nobilis Orthopristis chrysoptera Number caught 1-500 Number kept 1-500 Weight 1-15000 No. of Hooks 1-250 Archosargus probatocephalus Lagodon rhomboides Bairdiella chrysura Cynoscion arenarius Cynoscion nebulosus Cynoscion nothus Leiostomus xanthurus Sciaenops ocellata Menticirrhus littoralis Menticirrhus americanus Micropogon undulatus Umbrina coroides Menticirrhus saxatilis Chaetodipterus f aber Mugil cephalus Polydactylus octonemus Trichiurus lepturus Scomberomorus cavalla Scomberomorus maculatus Prionotus tribulus Paralichthys lethostigma Paralichthys albigutta Balistes capriscus Aluterus schoepfi Lagocephalus laevigatus Chilomycterus shoepfi Eel Bait l -Chicken 14 -Plastic worm-red 2 -Cut Bait 15 -Plastic worm-white 3 -Dead Shrimp 1 6 -Plastic worm -yellow 4 -Dead Mullet 17 -Plastic worm-orange 5 -Eel 18 -Plastic worm-pink 6 -Jig 19 -Ribbonfish . 7 -Fish heads 20 -Silverspoon 8 -Goldspoon 21 -Spec Rig 9 -Hootie 22 -Squid 10 -Live Mullet 23 -Mirror Lure 11 -Live Shrimp 24 -Live pinfish 12 -Lure 25 -Bingo lure 13 -Plastic worms City of Residence SA -San Antonio cc -Cor pus Christi PA -Port Aransas AP -Aransas Pass Ft w¢rth (9) Count y (10) Days Per Year Fish in Salt Water (11) Days Per Year Fish in Fresh Water 0 -366 0 -366 (12) Salt or Fresh Water Preference s -Salt F -Fresh N¢ -N¢ Preference IL VOCABULARY (clirnat¢1¢gical data) (1) M¢nth 1-12 ( 2) Date 1 - 31 (3) Year 1973 1974 (4) L¢cati¢n (same as on census sheets) (5) Wind Directi¢n N E s w NNE ESE SSW WNW NE SE SW NW ENE SSE WSW NNW ( 6) Wind Velocity 5 25 45 65 10 30 50 70 15 35 55 75 20 40 60 80 (7) Cl¢ud c¢ver l -Cl¢udy 3 -Clear 5 -St¢rrn 2 -Hazy 4 -Rain 6 -Partly Cl¢udy (8) Bar¢meter reading (9) Air Temp 0 -125 (10) Water Temp 0 -125 (11) Tidal Fl¢w R -Ri sing F -Falling s -Slack (12) (13) City No. of Pe¢)ple Fishing 0 -500 No. of Pe¢ple Interviewed 0 -500 ABBREVIATION APPENDIX SA ::::: San Ant¢ni¢ cc ::::: c¢rpus Christi PA ::::: P¢rt Aransas AP ::::: Aransas Pass Tex ::::: Texas