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1. JO Ava 1Sul3 SWVN 50134 N33U9S pt 2 3 QHOO3H HV3A 13349 JO 1 15 1 1 HLON31 A35 osv 15913 oSv 5 amp 1N3UVd 15015 3uv SaLvondna N Ves E 78380 40 1HVIS NIJHUIS 14 v 0 e 0 0 0 0 v v ess 2 ors 2 265 be Ves WNN tuu 251 HONN COOOL gt gt gt gt gt gt uUUL 73390 10 9 pue G p sueaJoS AMJ u31VM H3HLV32M 13 XS10 0025 0 aun vuadWal u31vM 0 uiv 5 3HOHS 1VO8 ON S1VO8 ON anu alva NOILOAS 3WVN 501314 N33Uu5S p Qquooau saiva HOVA 9 VLVO INNOD 1SNI S HLON31 A35 Q3NIGWOO 05 SNL 3uV 5 S 31VQ M3IAUALNI 1583 SaLvondna v L OL TKTNOTH OR OD 1 SNOANVINVLSNI 9 N33HOS 73392 v WON 8 SI HLON31QHOO3H 31VWiXOHddV d 3WVN 501313 252. 3AVN 501314 N3389S v GYOOSY 1 HOS Z 3 v11 12 HLON31A3 O3NISWOO osy SA3x b NOIDSY 15913 sai1voriana 33V1 2 5 73389 SI HLON31QUOO3U 31VWiXOUddV be A 181001 81610 2 3 10 1 58 2 1 HY 3WVN 0 507313 2 QuOO3U 1 HLON31A3 Q3NIBWOO 057 19191510 05 NOID3H Suv 5 5 1008 16814 Sa1voridna LNOIO3H 1 5 13349 2 1 1251 HLON31 S L 4 6 U313WVUuVd 1H9I3M 3 5310345 YASH 501313 Na389S T3349 30 15 HOS 1 5310345 06 AJJ oSv 9310345 3 SAR 30 1 15 1N3UVd 15813 Sa1voridng 1 5319345 2 05 713392 SOIQEUEA eoueumu JO Sede Jo WNN prey 10 N31 OU ueeso S mdin o mewone Jo 4 1 SI ALVAIXOUddY SVMISIHHO t AVQNOMO31 Avasnswmoo tt Avauosvi 0 AVG 39N3QN3d3QNI AVA TVIHOW3N SAN3GIS3Hd SONI TW 5
3. 295 265 Ves OOOO u uu u u N WON SN N33UOS sativa HOVI Z V1VO OF HL1ON31 A33 OSV ON SAAN S 31VG 8 s31vondna OD 2 N1YO N33H2S BIYO 1 6 en6r4 S SI HLON31QUOO3H 44 viva A33 WON SWVN 501313 5 Z Zviva M3IAU3LNI 21 1 5 A33 Q3NIBNOO 05 A33 V1LVO M3IAB3INI 45913 Sa1voridna 2 TWNOILdO 2b 73392 Zk SI H19N31 a 1vWiXOUddV HLON31 1V101 H15N31 WLOL 5310345 gt gt gt AWN Sq Bi NA3YOS ZV1VG N3IAUAANI aasva au A33 Q3NIGWNOO 25 5310348 SA33 L V1VQ M3IAH3LNI LN3uVd 15919 S31voridana gY 13 N3389S 13389 NN 10 sajd jo 1equinu WON prey jo N31
4. 19101 ueeJo S indin O 10 ejqeue A 21 SI HION31 31VWiXOuddv H19N31 WLOL H1ON31 WLOL c 52188 N3IAU3INI HOVI OF VLVO 9 Q3183AUVH HLON3T A33 05 5310395 SAJA 21 15013 S31voriana 0 1 4 Q31S3AUVH 01 5 73392 Materials Required Apple e Professional System 128 K plus C Itoh Prowriter 8510 series printer and Graphicard or Grappler interface General Manager Master diskette PC Manager Inc 64 E Ashley Ave P O Box 567 Driggs ID 83422 0567 DATA ENTRY CREEL Diskette TABULAR OUTPUT CREEL Diskette Blank diskettes for data storage A RAMFACTOR Applied Engineering card and an accelerator card or chip are recommended Start Up The major steps involved in system booting and simple use of General Manager are given in Part 1 Biological Survey Data see page 1 1 Special Technical Report 87 11 For specific information on General Manager please refer to its user s manual The instructions below assume that General Manager is booted that you are in the DATA ENTRY option of ACCESS DATA BASE and that a formatted data disk is in drive 2 Permanent Data Entry As shown in Figure 1 1 screens 1
5. 42 strata to reduce the incidence of random allocation To group strata so that several strata are acted on simultaneously by GROUPING give each stratum in the set the same label i e number in the table The ultimate case is the default screen in which all strata have the same number Use the arrow keys to move the cursor to the desired stratum press RETURN and then enter a group number that will be used to designate all strata that will be in the group This unique number can be any that you like and all strata given this number will be acted on simultaneously by GROUPING Using the same example as above to group all strata within a season time period the table should be changed to GROUP THE STRATA LAKE TEST 87 SPECIES LMB PER OF SECTION OF LAKE YEAR 1 2 3 0 0 0 0 0 00 ARROWS MOVE CR ENTER VALUE G TO GO ENTER Q TO UNGROUP A STRATUM When you have the grouping table arranged enter G for go You are then asked if all species should be grouped in the same manner If you answer NO to this question you will be presented with a new grouping table for each species Generally for most lakes variation in length frequency will be dependent on time rather than location Therefore grouping all sections within time periods would be more appropriate than one section over many time periods especially for fast growing spec
6. ILLINOIS UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN PRODUCTION NOTE University of Illinois at Urbana Champaign Library Large scale Digitization Project 2007 ILLINOIS NATURAL HISTORY SURVEY Manual for the District Fisheries Analysis System FAS A Package for Fisheries Management and Part 2 Creel Survey Data Base Aquatic Biology Section Technical Report Peter B Bayley and Douglas J Austen Mark Thompson and Alan Citterman Programmers Aquatic Biology Technical Report 87 12 Illinois Natural History Survey Aquatic Biology Section Technical Report 87 12 MANUAL FOR THE DISTRICT FISHERIES ANALYSIS SYSTEM FAS A PACKAGE FOR FISHERIES MANAGEMENT AND RESEARCH Part 2 Creel Survey Data Base Peter B Bayley and Douglas J Austen Mark Thompson and Alan Citterman Programmers Robert W Gorden Head Aquatic Biology Section Aquatic Biology Section September 1987 SUMMARY OF PROJECT The major emphasis of this project was in the design and implementation of a fisheries data base the Fisheries Analysis System FAS that would provide information for managers and researchers on a long term basis The secondary but no less important emphasis was to interpret and analyze FAS data at the District and State levels An overview of FAS is presented in Aquatic Biology Technical Report 87 10 A description of the fish population survey data processing in the DISTRICT FAS p
7. respectively Figures 1 1 and 1 4 Data on released fish are entered using the same format as for harvested fish When completed with data entry press lt ESC gt to quit After all fish data are entered you are asked to enter data on designated supplemental questions Once this is done data entry for the current interview is complete and you are ready for the next angler interview You may continue to enter data or press lt ESC gt to quit Chapter 4 DATA ANALYSIS GROUPING General Information Because CREEL allows group counts of fish to be entered with associated minimum and maximum lengths rather than only individually measured fish a program was needed to allocate grouped fish into centimeter groups in an equitable manner The program GROUPING accomplishes this by using a simple algorithm and a random number generator GROUPING searches screens 10 and 11 for species for which group counts were entered For each of these species the program finds all individually measured fish from records in screens 8 or 9 and formulates a master length frequency distribution Each master distribution is from either harvested or released data depending on whether the group count was from screen 10 or 11 respectively Then the group count data upper and lower range and number are read into the program one species at a time The upper and lower lengths of the range are compared with the master length frequency distribution for that species If t
8. 305 SAMPLING RATIO 29 365 TIME PERIOD 03 01 TO 02 29 OF LAKE SECTION 1 TIME INTERVAL 2 1000 1600 ANGL 95 CONF 5 95 CONF HRS 95 HRS INTVL ACRE INTVL TRIP INTVL TRIPS BOAT FISHING WEEKDAY 11532 10899 12165 38 36 40 6 8 6 4 7 2 1698 WEEKEND H 3513 3210 3816 12 11 13 9 1 8 9 9 2 386 BOTH 15045 14223 15744 49 47 52 7 2 6 8 7 6 2084 SHORE FISHING WEEKDAY 8211 8003 8419 27 26 28 7 1 6 9 7 3 1156 WEEKEND H 2928 2725 3131 10 9 10 9 3 9 2 9 4 315 BOTH 11139 10869 11409 37 36 37 7 6 7 4 7 8 1471 BOAT SHORE FISHING WEEKDAY 19743 19114 20372 65 63 67 6 9 6 7 7 1 2861 WEEKEND H 6441 6029 6853 21 20 22 9 2 9 1 9 3 700 BOTH 26184 25302 27066 86 83 89 7 4 7 2 7 6 3561 rna 5 3 Table 5 2 Example of one page of output data from FINAL artificial data showing single substratum miscellaneous fish CATCH HARVEST AND CPUE TABLE REGION 1 LAKE GANDALF DISTRICT 01 YEAR 87 ACREAGE 305 SAMPLING RATIO 20 365 TIME PERIOD 03 01 TO 02 29 OF LAKE SECTION 1 TIME INTERVAL 2 1000 1600 FISHING TYPE BOAT FISHING WEEKDAY END WEEKDAY FISH HARVESTED SPECIES HR 95 Cl CAUGHT 95 CI HA ACRE BLG 3 5 3 3 3 7 6420 6180 6660 52 0 21 0 LMB 1 2 1 1 1 3 2175 2020 2330 17 6 7 1 MSC 0 6 0 4 0 8 925 880 970 7 5 3 0 TOTAL 5 3 4 9 5 7 9520 9130 9910 77 31 2 SPECIES KG HR 95 KG CAUGHT 95 BLG 0 94 0 91 0 97 1710 1675 1745 13 9 LMB 0 88 0 84 0 92 1592 1570 1614 12 9 M
9. The STRATA ENTRY program will read the data in screens 1 2 and 3 and ask you to select a combination of criteria Once you have selected the Region District Lake and Year a SECTION DESCRIPTION screen which appear REGION 1 DISTRICT LAKE TEST YEAR 1987 1988 SECT ACREAGE DESCRIPTION 1000 DIDA 09595 reer rey esodo 8 coscccquscotesevevvecevo ENTER ZERO ACRES TO DELETE SECTION You may now designate subdivisions sections of the lake for spatial stratification Up to 10 sections are allowed the acreage of each should be defined as well as a brief description of the section The sum of the section acreages must equal the total lake acreage in screen 2 listed here under ACREAGE These section designations comprise the spatial component of the stratum the temporal is discussed below which is used in creel survey design and in statistical estimates Later calculations may be done by individual stratum any combination of strata or the lake as a whole Once section descriptions are complete you are shown the screen that permits stratum designation This rather complex screen is divided into several different columns for each section of the lake Each column has five components the first 2 1 and last date of the period the number of days sampled per week the numb
10. The format of the instantaneous count screen mimics the field data sheet and permits convenient data entry directly from the data sheets information is self explanatory Wind sky and water level descriptors are the first letter of the word chosen as indicative of the conditions e g L for light winds Once complete and you have answered YES to the question of whether the data are correct the information is saved as a record in screen 6 Another screen is brought up and you can enter additional counts for the creel day If you have no further data to enter press lt ESC gt Angler interview data are entered in four stages The first stage is data on the angler e g time of interview party size the second and third stages accept information on harvested and released fish respectively and the fourth on supplemental questions e g distance traveled In the first stage interview number and time refer to the sequence of anglers interviewed in the creel day and the actual time that the interview occurred Boat or shore fishing is designated with a B S and complete versus incomplete interviews with a C or Party size is the number of anglers in the party species sought is the standard three letter code or ANY if there was no preference and hours fished is the number of hours fished at time of interview Data on all harvested fish are entered one species at a time for each line on the screen Slashes or commas separate i
11. survey calculations is the time interval within a creel day which we term day period For all IDOC creel surveys since 1987 the day is divided into morning day period 1 mid day day period 2 and evening day period 3 Typically day period 1 ends at 1000 hours and day period 2 at 1600 hours If additional periods are used such as a night period these can be defined in alternative records of screen 4 in a copy of the data base Only data corresponding to the time limits of each day period are selected The creel survey design and work schedule is then based on randomly chosen day periods within each stratum designated as a combination of section of lake and period of year such as east arm during 1 January 31 March and the substratum combination of day type weekday or weekend holiday and day period Thus the smallest unit that can be randomly allocated is the day period which is the basis for the statistical unit employed e g harvest of bluegill by boat anglers angling effort of shore anglers etc For example the sample weighting scheme for a lake may require five first day period samples from a maximum possible 20 first periods available for week ends in a given stratum The dates of the five first day period samples are allocated randomly among the 20 dates available Associated with each day period sample is one instantaneous count and a subsample of those anglers that are interviewed If more than one instantaneous count is tak
12. 2 3 and 13 are the top screens in CREEL You must enter data for the key fields before proceeding to the other screens 1 Screen 1 As with DOCS Region and District codes must be entered Data for screen 1 should only be entered once for the data base so be sure that no duplicate screen 1 records are entered If duplicates exist delete the erroneous records using CTRL D Although District Biologist is not a key field it should be entered for a complete data base Once you have entered the data press RETURN or lt gt to save the data Press to return to the Data Entry Menu 2 Screen 2 From the Data Entry Menu select screen 2 and press RETURN You will then be shown screen 1 with the next to last line indicating that you are to ENTER KEY CRITERIA You must enter the same data for region and district that you just entered into screen 1 so that General Manager can establish proper parentage Simply enter the proper region and district you will notice that an sign appears as a prefix for each entry and press You will then be shown screen 2 you are in the data entry mode again check the next to last line for an indication of which mode you are in In screen 2 the only key criteria is Lake which must be entered to connect subsequent child records with that screen 2 record However if data for Acreage Shoreline Length and Mean Depth are available enter those data also When finished press to save
13. 911614 t S HLON31 SLVNIXOWddVY AON3hO3HW4 WLOL 3 1d VS WO H15N31 5310345 L gt gt gt WON 501313 NJJY S p 1 NGIAH3ANI 6 AO9N3n03U3 1 9 HLON31 GSNIGNOO osv WO dnouo 05 8310348 3UV SA3M ZVLVG LN3UVd 15913 SALVONNG a 6 4 9 1 5 6 N3389S Zt SI ILVNIXOYddY WLOL WO H15N31 5310345 5071315 p ZN1VO NGIABSINI HOV3 amp AON3n03H3 1 031S3AHVH L 9 H15N31 A33 O3NISWNOO Osv anou5 05 8310345 3HV SAS V1VO M3IAYALNI 1598 SaLyondna ooo 4 00020 8 N33HOS 3392 10 Sd Jequinu WNN Prey N31 OU 62u816j6J ueeJo S indin O mewone Jo 4 61 SI HLON31 ALVNIXOUdd HO1VO 2 SHNOH LHONOS 5310345 3215 ALUVd 313 Y 340OHS 1vO8 INUL NOILO3S
14. SC 0 13 0 11 0 15 233 226 240 1 9 TOTAL 1 95 1 89 2 01 3435 3392 3478 28 7 SPECIES LB HR 95 CI LB CAUGHT 95 LB ACRE BLG 2 07 2 01 2 14 3771 3693 3848 12 4 LMB 1 94 1 85 2 03 3510 3462 3559 11 5 MSC 0 29 0 24 0 33 514 498 529 1 7 TOTAL 4 30 4 17 4 43 7795 7479 7669 25 6 5 4 Table 5 3 Example of output data from FINAL artificial data summary of one group of strata CATCH HARVEST AND CPUE TABLE REGION 1 LAKE GANDALF DISTRICT 01 YEAR 87 ACREAGE 305 SAMPLING RATIO 49 365 TIME PERIOD 03 01 TO 02 29 OF LAKE SECTION 1 FULL DAY 0600 2200 FISHING TYPE BOAT SHORE COMBINED WEEKDAY END WEEKDAY WEEKEND COMBINED FISH HARVESTED SPECIES 95 CAUGHT 95 S ACRE BLG 5 7 5 3 6 1 18211 16909 19513 147 5 59 7 LMB 1 9 1 7 2 1 6125 5320 6930 49 6 20 1 MSC 0 9 0 7 1 1 2988 2870 3106 24 2 9 8 TOTAL 8 5 7 9 9 1 27324 25992 28656 221 4 89 6 SPECIES 9596 KGCAUGHT 95 BLG 1 74 1 56 1 92 5231 5112 5320 42 4 LMB 1 56 1 44 1 68 4716 4650 4774 38 2 MSC 0 63 0 52 0 74 1799 1701 1897 14 6 TOTAL 3 93 3 72 4 14 11746 10231 13213 95 2 SPECIES LB HR 95 CI LB CAUGHT 959 LB ACRE BLG 3 84 3 44 4 23 11534 11272 11731 37 8 LMB 3 44 3 18 3 70 10399 10253 10527 34 1 MSC 1 39 1 15 1 83 3967 3751 4183 13 0 TOTAL 8 67 8 20 9 18 25900 22559 29135 84 9 This page is intentionally blank STATISTICAL METHODS FOR CREEL PROGRAMS The basic statistical unit for creel
15. STED LENGTH FREQUENCY Species Length group cm Sample frequency Total frequency Screen 5 INTERVIEW DATE Julian day Weekday holiday weekend Date Screen 7 INTERVIEW DATA Interview number Time Boat shore Screen 9 Complete incomplete RELEASED ie LENGTH FREQUENCY pones soug Hours fished Zero catch Y N Screen 6 INSTANTANEOUS COUNT DATA Time Number of boats Number of boat anglers Species Length group cm Sample frequency Total frequency Screen 12 OPTIONAL DATA Screen 10 HARVESTED 2 Number of shore anglers GROUP DATA Key Air temperature Data Water temperature Species Secchi disk Lower total length Wind condition Upper total length Weather condition Frequency Water level Screen 11 RELEASED GROUP DATA Species Lower total length Upper total length Frequency Figure 1 1 Hierarchical structure of CREEL 12 epep jueueuued 13390 10 EL pue Z L 5099105 9 82219 Jo Jequunu WON Preys jo N31 ueeJo S ydin O ejqeue A pexi 4 SI HLON31 31VVWIXOBddV L S 14 0 4 14 HLON31 3NIT3HOHS 0 9 ov tz A
16. and then quit to the Data Entry Menu 3 Screen 3 From the Data Entry Menu select screen 3 and press RETURN As before you will be shown screen 1 but this time the previously entered 18 criteria are given notice the signs If correct press and proceed to screen 2 enter the criteria for Lake and press to move to screen 3 The two keys in screen 3 are Year and First Date the first day of the creel year given in a month day format These data are important for later calculations Consult a calendar to determine the day of week on which the first day ot the creel year falls and to find the dates of the listed federal holidays Once these data are entered save the data as before and return to the Data Entry Menu 4 Screen 13 From the Data Entry Menu select screen 13 SPECIES 13 and press RETURN You will be asked to enter criteria for screens 1 2 and 3 Data for screens 1 and 2 should be displayed press if these values are correct For screen 3 enter Lake and First Date and press lt gt Screen 13 will then be displayed This screen contains the information to convert weights from lengths taken in the creel surveys It is important that a and b parameters from length weight regressions be entered for each species that will be encountered in the creel survey Obtain these data from the most recent fishery survey conducted on the lake by the district fisheries biologist If such data are not available
17. art of the system is described in the form of a manual in Aquatic Biology Technical Report 87 11 which results from part of the work required under Jobs 101 1 and 101 3 Creel Survey data processing is described in Aquatic Biology Technical Report 87 12 and completes the requirements under Jobs 101 1 and 101 3 The statewide data base STATE FAS is described along with uploading and downloading procedures in Aquatic Biology Technical Report 87 13 Jobs 101 4 and 101 5 Technical Report 87 14 presents an analysis of efficiencies of gears used in generating most of the data in FAS and an analysis of standard parameters for condition factors resulting from requirements under Jobs 101 2 and 101 6 This technical report is part of the final report of Project F 46 R Comparative Analysis of Fish Communities Ilmpoundments which was conducted under a memorandum of understanding between the lllinois Department of Conservation and the Board of Trustees of the University of Illinois The actual work was performed by the Illinois Natural History Survey a division of the Department of Energy and Natural Resources The project was supported through Federal Aid in Sport Fish Restoration by the U S Fish and Wildlife Service the Illinois Department of Conservation and the Illinois Natural History Survey The form content and data interpretation are the responsibility of the University of Illinois and the Illinois Natural History Survey and not that of the I
18. ble mean daily effort with variance and mean CPUE with variance and mean catch or harvest with variance data for each taxa One text file for the statistics for each group of strata is saved by STATCALC If all taxa and no coalesced data were selected one group containing one strata would occupy about 20 Kbytes of disk space More disks can be used if necessary Speed and capacity are increased using the RAMFACTOR card 5 1 option Normally one group containing all the strata will be selected for output of statistics from the entire impoundment during 1 year with or without coalesced strata 6 Exitto the General Manager menu or proceed directly to the program FINAL which combines the strata and substrata within each group selected using the text files output by STATCALC and the calculations in Appendix FINAL asks you to select a group then a confidence level of 0 05 or 0 10 The following menu is then shown 1 PRINT EFFORT TABLE 2 PRINT CATCH HARVEST TABLE 3 CHOOSE NEW GROUP 4 CHOOSE NEW CONFIDENCE INTERVAL 5 EXIT 7 Selecting menu option 1 produces a summary broken down into boat shore combined fishing and weekday weekend combinations in terms of angler hours angler hours acre hours per trip and number of trips Table 5 1 Each page contains data for each day period followed by a summary for all day periods combined The combined data for all substrata are shown in the last row Note that the time peri
19. ction into the current section Press RETURN to return to normal input mode To exit from stratum designation get into edit mode and press E for exit The program will then check the stratum for missing days or improper days too many days in a month If an error is found you will be sent back to the stratum designation screen When this screen is validated you will be asked if you want a printout of the strata if you want to do more editing and whether you want to enter daily times for instantaneous counts Once the stratum table is completed and saved you are asked if you want to complete times for day periods and instantaneous counts for screen 4 at this time it is informative to complete the daily times for the instantaneous counts although it is not necessary The stratum design screen Figure 1 3 appears as below STRATUM SECTION Section Description PERIOD MM DD MM DD SAMPLED DAY WK FISHABLE HRS DAY CREELED HRS DAY START 1 COUNT 1 START 2 COUNT 2 START 43 COUNT 83 22 information should be complete with the exception of the COUNT field which represent the starting times of the instantaneous count associated with each period Up to three periods are allowed but less than three can be used However if less than three periods are used the end time of the last period used must be entered in the start time slot for the first unused period Normally one count is made d
20. en in a day period the average of the counts is used The three primary statistical units are calculated as follows The number of anglers counted multiplied by fishable hours in the time interval is the effort estimate for that unit eq 1 E 1 where effort angler hours the subscript denotes the sample number for a specific date iis the substratum denoting a particular combination of day period day type and boat shore fishing instantaneous count of anglers and number of hours in the day period The catch rate estimate is the total number of fish caught divided by the number of hours fished by all anglers interviewed during that time interval eq 2 S 2 where S catch rates in number or weight of fish species per hour fished total numer or weight of fish caught by anglers interviewed during the time interval in i and h total number of hours fished party size times hours fished at time of each interview summed over all interviews in i j 1 Catch of fish is then estimated by multiplying effort by catch rate eq 3 where harvest or catch of fish by number or weight in substratum i E and 5 are as above Average hours per trip is calculated from completed trips only and is the sum of all hours fished party size times hours fished divided by total number of anglers interviewed who completed their trips Thus for each date and day period sampled th
21. er of fishable hours per day and the number of hours creeled in a day STRATA ENTRY automatically places the first day of the creel year under the first period in section 1 You are then asked to enter the last day of the period and the values for the three additional parameters The cursor then moves to the next period in that section and the next date that needs to be accounted for in the stratum designation This process is continued until all periods are completed for the section NOTE Periods from first to last must account for a complete year even if creel data were not collected during a time period If no activity occurs e g if a section of the lake is closed for duck hunting enter the appropriate data and zeroes for the sampled days per week fishable hours per day and creeled hours per day The editing mode in STRATA ENTRY is entered by pressing the SPACE BAR several times over the field where dates are entered The command area at the bottom of the screen indicates the available options The arrow keys move the cursor and the current stratum available for editing is marked by an asterisk Entering an capital I lt I gt inserts an additional stratum immediately after the current stratum D deletes the current stratum C copies the stratum immediately to the left of the current stratum and writes the copy at the current stratum If the current stratum is the first in that section C will copy the entire previous se
22. ere is a value for effort angler hours catch number of fish and catch rate number of fish per hour These statistical units are calculated for each species and all species combined within each substratum which comprise a combination of a boat fishing shore fishing or both combined b day type and c day period For each substratum and stratum a mean eq 4 and a variance eq 5 is calculated for each of the three primary statistical units in 1 2 and 3 adapted from Cochran 1963 X LX 4 where either effort catch H or catch rate S for substratum and sample j D and n number n samples taken Subscripts fbr strata are omitted for clarity VAR X XXn 5 n i Depending on the output desired substrata are combined to give means and variances for the parameters for the new groups which may be strata combinations of strata or the whole lake L 210 X 6 2 where N N substratum weight maximum number of dates in substratum i that could be sampled N total number of dates in all substrata that could be sampled and L number of substrata being combined x L VAR 2 Ww 52 7 where W N N 52 sample variance in subtratum i and sample size in substratum i number of dates creeled for a given substratum The finite population correction is not used because the variance would be zero if all possible dat
23. es within a substratum were sampled This is clearly unrealistic because a census of total catch in each day period sampled is not being taken At this point we have mean values and variances for each of the three primary statistical units catch catch rate CPUE and effort for the strata combination selected for analysis If the user has decided to group all sections of the lake and all time periods together we have a mean catch catch rate and effort for the whole lake for the year Mean catch and catch rate CPUE are expressed by number or weight and by common species or all species combined Mean values per day period for catch and effort are scaled up to estimate totals by multiplying the mean by the total number of dates among day periods N that could possibly be sampled 8 Variance for total catch effort is scaled by N VAR XS 9 where estimated total for catch or effort Mean catch rate CPUE is given directly from eq 6 and variance of mean CPUE from eq 7 For all values that have variances associated with them a confidence interval is calculated X 10 where t t value from tables at significance level and SE standard error For catch and effort SE A 3 and for CPUE SE WAR Xs Approximate S21 degrees SS ee 11 of freedom YIN 2 n 1 The number of trips
24. ge i e region district etc and then shows you a screen that sets up the strata For example a lake with three sections and four time periods spring summer winter and fall would originally appear as follows GROUP THE STRATA LAKE TEST YEAR 87 SPECIES LMB PER OF SECTION OF LAKE YEAR 12 2000000 Q 1 1 1 1 2 1 1 1 3 1 1 1 4 1 1 1 5 6 7 8 9 10 11 12 ARROWS MOVE ENTER VALUE G TO GO ENTER Q TO UNGROUP A STRATUM You may designate the strata from which the program will search for master length frequencies The default shown would construct length frequency from data in all strata Alternatively each of these numbers could be different indicating that each stratum would be grouped separately Any other combin ation is possible GROUPING will search each stratum individually for grouped fish create a master length frequency for each species in that stratum and allocate the grouped fish in the stratum based on that length frequency The program will then move to the next stratum automatically In some cases especially for smaller fish few individually measured fish are found in single strata If each stratum was to be treated separately i e had a different number this would result in too many instances in which the program randomly allocates the grouped fish to centimeter lengths reducing accuracy rather than basing the allocation on a master length frequency You must group similar
25. here are at least three fish for each centimeter group in the master length frequency within that range the length frequency is considered good and the fish in the group count are allocated based on direct proportions to the number of fish in that section of the length frequency For example if there is a group count of 10 bluegill with a length range of 15 20 cm and the length frequency from individually measured fish is as follows in the middle column the group count will be allocated as in the right column MASTER ESTIMATED FREQUENCY LENGTH FREQUENCY INGROUPCOUNT 15 3 1 16 4 1 17 7 2 18 11 3 19 5 2 20 3 1 If there are fewer than three fish in any centimeter group GROUPING first allocates one fish from the group count to each of the centimeter groups at the upper and lower limit of the range The remaining fish are then distributed randomly across the length range Statistical errors involved with these allocation algorithms are negligible compared with sampling errors due to between angler variation providing that length ranges of group counts are small Grouping GROUPING is run from the Utilities Menu The program acts on the entire data set and should be run after data entry has been completed to provide a good set of master length frequencies for each species A copy of the original data set should be maintained so that the grouping program can be repeated if necessary Once loaded GROUPING asks for the proper parenta
26. ies However when length ranges of group counts are small these refinements will make little difference to the final results The program has an option that automatically processes all group count records using the default setting shown on page 4 2 When finished GROUPING will have completed all chosen stratum and species allocated all group counts to individual centimeter categories and erased the old group count records The data base is now complete and ready for analysis and tabular output 43 Chapter 5 DATA OUTPUT Output options were designed to provide basic summary data for management decisions and breakdowns of strata and substrata for research into methods of improving the survey design The statistical approach is described in Appendix A l Run the program STATCALC which calculates the means variances and sample sizes for each substratum and group of strata and stores them in text files These interim text files can be stored on a DOS 3 3 diskette or on the RAMFACTOR card Groups of strata to be included subsequently in a stratified analysis Appendix A are selected by the same process as described in Chapter 4 for length group allocation The simplest choice is one group for the entire impoundment and year You are then asked to select species for analysis The contents of a file containing the latest species list are read This list can be edited and is automatically saved in the same file Up to 10 species are al
27. is estimated by dividing total effort by the average hours per trip No variance is calculated References Cochran W 1963 Sampling techniques 2nd ed John Wiley and Sons New York 4 PAR T Td 2 fg DE Sic P RES CE DCN ea aa Lu 2 Vo wd CE E 3 ae LR i bai DE RAM d ls SES PANE E ME b s yp Wie VS i i IRE im UN eee m mu E Ree RA T 8 es Soc 1 E Agr die i E eov AA EAE 3 TO 23 a T dut vos n EDS DNE T vs EE Bee ooi s m UU ps T j D i CO wey i ion e POET arc A 5 135135 4 T TEE TUS SH
28. ive categories 1 permanent information in screens 1 2 3 and 13 Figure 1 2 2 stratum design information in screen 4 Figure 1 3 3 sampling dates in Screen 5 Figure 1 3 4 instantaneous count data in screen 6 Figure 1 3 and 5 angler interview data in screens 7 12 Figure 1 4 The permanent information stored in screens 1 2 3 and 13 Figure 1 2 does not change during the creel year and includes such items as region district and length weight regression parameters to estimate weights of fish caught by anglers This information is entered once using General Manager s data entry routine As with DOCS all other data entry uses custom designed programs The data entry routine of General Manager should not be used for screens 4 12 However when correcting errors BROWSE UPDATE should be used Stratum design information stored in screen 4 Figure 1 3 allows the creel manager to designate how the lake will be divided by area and time periods In most lakes some stratification is used to efficiently allocate survey effort Stratification information is used in the calculations and is entered using the program STRATA ENTRY Instantaneous count data are stored in screen 6 under the appropriate sampling date in screen 5 Figure 1 3 it is the basic unit of measurement used to calculate fishing effort Instantaneous count data are entered in conjunction with interview data using the program DATA ENTRY Finally interview data a
29. llinois Department of Conservation The data base and programs of CREEL have been developed as part of the District Fisheries Analysis System DISTRICT FAS to accommodate the typical recreational fishery survey conducted by many state natural resource agencies CREEL allows survey design data input storage and calculation of a variety of important statistics that managers require As a part of the FAS system CREEL runs on an Apple e microcomputer and uses General Manager as the data base management system All interface programs are written in Applesoft BASIC and have been designed to be easily used and are for the most part interactive with the user ACKNOWLEDGMENTS Jana Waite is thanked for her excellent redactional work TABLE CONTENTS 1 Starting Up and Permanent Data Entry Basic Information Materials Required Start Up Permanent Data Entry Supplemental Question Editing 2 Strata Entry 3 Data Entry 4 Data Analysis Grouping General Information GROUPING Appendix A Statistical Methods for Creel Programs Chapter 1 STARTING UP AND PERMANENT DATA ENTRY Basic Inf The data base design Figure 1 1 is analogous to a flow chart of the steps to conduct a creel survey and to obtain valid estimates of effort and harvest of the recreational fishery Each box represents a screen in the General Manager data base and is composed of related information The screens can be logically divided into f
30. lowed Two additional categories all species combined and miscellaneous species all species except those selected are automatically included in the calculations for a maximum of 12 taxa A series of options in STATCALC allows you to coalesce substrata across strata within each group Suppose that the print out of summary statistics see 4 during a previous run indicated that the number of samples during some combinations of day period and weekday weekend are very low or nonexistent in a stratum you can choose to coalesce the data across all strata within each group This maintains the substrata which we believe explain much of the variance Groups consisting of a single stratum will be unchanged Another alternative allows coalescing across substrata e g pooling data from day periods The option DO YOU WANT TO PRINT OUT SUMMARY STATISTICS BY SUBSTRATUM Y N is useful in deciding whether to coalesce strata in a rerun and in improving sampling design If this option is selected you are asked to choose between harvest and catch and between numbers or weights and desired taxa The output is too voluminous for all combinations but all 12 taxa can be printed Visual comparisons of sample sizes means or variances will reveal any shortcomings with any combination The print out contains one line for each substratum and codes for day period weekday weekend boat shore combined stratum section year period data for days sampled days possi
31. ndividual fish measurements and hyphens separate the lower and upper lengths of a group count For group counts the number of fish in the group is requested For example if the angler caught four largemouth bass of 36 37 39 and 42 cm 10 bluegill ranging from 15 to 20 cm and one trophy size bluegill of 24 cm the data would be entered as follows INTERVIEW NO 1 PRESS ESC WHEN DONE HARVESTED SPECIES LENGTHS LMB 36 37 39 42 BLG 15 20 10 BLG 24 Group counts must be placed on a separate line from that of individual fish lengths Fish lengths separated by slashes or commas are assumed to be for single fish If more than one fish has the same length enter them separately or use group input For example if two LMB have lengths of 35 cm enter as 35 35 or 35 35 or as a group with length range of 35 35 and an amount of 2 If there are too many individual fish measurements to fit on one line use the same species code and continue entry on the next line Similarly if you fill the screen save the current screen by answering YES to the question of whether you have more harvested fish data This will refresh the screen and allow entry of additional data To exit from harvest data entry press lt ESC gt Individually measured harvested fish are stored as screen 8 records while group counts of harvested fish are stored as screen 10 records Corresponding data for released fish are stored as screen 9 and 11 records
32. next column KEY is the data base designator for the question and is the key field used by General Manager to search for questions to be analyzed in output tables The PROMPT column is the two line phrase shown on the screen during data entry If the question requires a numeric answer e g distance in miles the column should have Y if the answer is in alpha characters e g yes or should be entered in this column This designation provides error checking during data entry Alpha characters cannot be entered if a numeric answer was specified Similarly MIN and MAX indicate the lower and upper ranges accepted values outside of the range will be rejected To edit the supplemental questions press RETURN to move to the part that needs to be changed The arrow keys cannot be used to move backward move to the bottom using RETURN and then answer NO to the question IS THE DATA CORRECT This will put the cursor at the top of the screen and allow you to further edit the supplemental questions 1 10 Chapter 2 STRATA ENTRY From Data Base Master Menu select UTILITIES and then from the Utilities Menu select RUN USER PROGRAM You will be asked if you want to use the CREEL data base answer YES YES is the default and is selected by pressing RETURN You should now have to the User Programs Menu on the screen Select STRATA ENTRY and press RETURN A title screen will appear to continue the program press RETURN
33. od is for 12 months ending on 29 February of the following year 1988 which in this example is a leap year The sampling ratio represents the number of dates that were sampled divided by all possible dates in the group For options 1 or 2 you are asked to choose between a screen preview or the printer 8 If menu option 2 is selected you must choose between printing a breakdown of each substratum combination strata are combined but unless coalesced are accounted for in the analysis or the entire group only DO YOU WANT A SUMMARY OF GROUP ONLY G OR OF EACH SUBSTRATUM INC THE ENTIRE GROUP S The second option can produce a voluminous output of which one substratum is shown in Table 5 2 The entire group which would typically be the entire lake for 12 months is output from either option an example is shown in Table 5 3 CREEL is a complex data set which we believe is necessary to allow for the numerous sources of variance and to maximize the advantages of stratification built into the sampling design Inevitably there are many ways to output summary data and to design new surveys therefore we have avoided black boxing the output at this stage Further development of the output programs STATCALC and FINAL will continue during F 69 R as we analyze data from a variety of impoundments Table 5 1 Example of output effort from FINAL artificial data LT E ra a EFFORT TABLE REGION 1 LAKE GANDALF DISTRICT 01 YEAR 87 ACREAGE
34. re entered into screens 7 12 Figure 1 4 one interview at a time using DATA ENTRY interview information is entered at one time including such supplemental questions as distance traveled by the angler Once all information has been entered into CREEL you may use several output programs to summarize the data and obtain estimates of pertinent creel survey parameters Output programs currently available are 1 an effort table that gives total hours fished total number of trips hours per trip and hours per acre with associated confidence intervals 2 a catch table that shows for up to 10 species and a miscellaneous category the number of fish caught number caught per hour weight caught and weight caught per hour with associated confidence intervals and 3 a generic set of tables that calculates frequencies of response to supplemental questions The statistical calculations to produce these values are in Appendix A 1 1 Screen 1 Screen 2 REGION DISTRICT LAKE Region Lake District Acreage District blologist Shoreline length Mean depth Screen 4 STRATUM DESIGN Stratum Screen 3 Screen 13 START ns pac SPECIES CREEL YEAR Sampled days weeks Fishable hours days Species Year Creeled hours day Length to weight First date conversion parameters Day of week riso oe Dates of holidays Screen 8 HARVE
35. t NO9IS3Q WNLYYLS HOVI 9 31 1 Q3NIGWOO 05 057 3uv 5 V NOIS3Q WNLVYLS LNAYVd 15913 SaLvondnd S 31VQ 1 5 N33H9S saqeyea Sd Jo Jequinu WNN uiDue N31 usaJo S uJ3u indin O erqeue A 4 901 51 HLEN31QuUOO3H 31VWIXOHddY 0 LNNOO QON3M33WAVOFIOH 61 9 T33HO 81 0 9 4 92 NOlLdIHOS3Q0 NOLLO3S 9 E INNOD SNOANVLINVLSNI St v d 1HVIS v 21NnOO ShO3NVINVISNI l v d 5 v L 1 5 v 5 Ob AVO SUNOH 6 AvarsunoH 8 5 9 5 1 v d 1571 9 15 1 S v 3 31 0 1593 3 Avaisud NOILOAS 2 WhIVHIS WON Hd3H 3WN 507315 N33u9S 6 QuOO3H 18380 JHL 30 LYVLS SQHOO3U 530 NALVYLS 01 0 HLON31A3 osv Ava 15 1 05 Ava 15914 05 235 057 15 3uUY 13990 40 1 15 1N3uvd 1Sut4 Sa1voridna NOIS3Q WALVULS 33405 1332 JO 21 SUIS v L
36. then values from standard length weight regressions may be used however calculated weights may not be as accurate as those obtained using regressions from the specific lake Once these data are entered for all species quit from data entry and return to the Master Menu From this point all data entry in CREEL should use one of the programs accessed under USER PROGRAMS selected from the Data Base Master Menu Suppl tal Questions Editi The supplemental question editor and file refer to a list of questions that may be asked as part of the angler interview These questions range from distance traveled to the amount of money spent to any question of interest to the fisheries manager To enter the editor choose SUPP QUES ED from USER PROGRAMS This will load and run the program leaving you at the header screen Press RETURN to have the program read the file SUPPLEMENTARY which contains previously created questions stored on the working programs disk You are then presented with a screen similar to the one below SUPPLEMENTARY QUESTIONS USE KEY PROMPT MIN MAX Y A DISTANCE TRAVELED Y 0 9999 IN MILES N B QUESTION Y 0 100 2 N QUESTION Y 0 100 3 N D QUESTION Y 0 100 4 maximum of eight questions may be stored in the program The first column USE indicates if the question will be used in the survey Y the question will be asked during data entry after fish length data are entered If N the question is suppressed The
37. uring each period and is started at a designated time This information must be entered for each stratum and is stored in screen 4 Now all the basic information for the creel survey has been entered Survey data are now entered using DATA ENTRY 23 Chapter 3 DATA ENTRY The entry of survey data instantaneous counts and angler interviews is accomplished by using the program DATA ENTRY This program is accessed through General Manager and the Main User Program Menu You will be given a heading screen indicating the name date and programmers press RETURN to continue You are then asked if your measurements are in English or metric units If English units were used to measure fish the program runs an algorithm that converts the units taken to the nearest 0 5 inch into centimeter groups When English measurement could correspond to two or more 1 cm groups a random number generator allocates that data to a single 1 cm group taking into account the probability assignments to alternative groups As with STRATA ENTRY you proceed through the sequence of selecting parentage for the data to be entered The program asks you to select the region district lake year and section and then to enter the date of the creel survey information The program checks the date against the appropriate stratum and determines whether it is a weekend holiday or weekday and brings up the first screen for data entry the instantaneous count information
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