Analysis on Allowable Catch Policy for Fisheries Resource Utilization in Pasuruan, East Java

Transcription

1 J-PAL, Vol. 7, No. 2, 2016 ISSN: E-ISSN: Aalysis o Allowable Catch Policy for Fisheries Resource Utilizatio i Pasurua, East Java Wilda Alfarizi 1, Gutur 2, Ami Setyo Leksoo 3 1 Evirometal Resources Maagemet & Developmet Studies, Graduate Program Brawijaya Uiversity 2 Faculty of Fisheries ad Perikaa da Ilmu Kelauta, Brawijaya Uiversity 3 Faculty of Mathematics ad Natural Sciece, Brawijaya Uiversity Abstract Lack of kowledge ad iformatio about fisheries activities, particularly the importace of sustaiable maagemet for marie fisheries (catchig) is the uderlyig reaso why fish resource potetial has yet bee maaged ad utilized well. The study is coducted to determie the umber of sustaiable fishig ad the total allowable catches i Pasurua, East Java. It also aims at describig status of fishery resources utilizatio ad developig strategies for fishery resources maagemet i Pasurua, East Java. Walter-hilbro method is used to aalyze model predictio of the stock ad the status of fisheries utilizatio. Schaefer ad Fox methods are used to calculate Maximum Sustaiable Yiled (MSY) ad Total Allowable Catch (TAC). The aalysis was applied usig fisheries data from 2004 to The strategies beig developed ad aalysis towards importace of the strategy are aalyzed usig Focus Group Discussio (FGD). Based o Fox model, the MSY is 9, tos ad TAC is 7, Based o the data, fisheries utilizatio i Pasurua, East Java is categorized as overexploited. Most respodets i the Focus Group Discussio (81.74%) agree that strategies of fisheries resources utilizatio i Pasurua, East Java is the suitable strategy for fishig groud-based fishig operatio as well as fishig seaso maagemet. Keywords: maagemet strategies, overfishig, sustaiability, the status of utilizatio INTRODUCTION Idoesia has abudat atural resources. Ufortuately, such potetials have yet bee maitaied properly, resposibly or sustaiably for the sake of Idoesia citizes. Lack of kowledge ad iformatio about the importace of sustaiable ad log-lastig utilizatio of atural resources are the causes of poor maagemet of atural resources [1]. Eve though Idoesia has ample atural resources, there has yet bee a balace betwee aquatic resources from oe place to aother or betwee oe type of aquatic resource ad aother. Overfishig is frequet pheomeo i Java Sea ad Malaka Strait, while aquatic resource utilizatio i the easter part of Idoesia has yet bee maximized or below sustaiable potetials level [2]. Approximately km2 areas i Pasurua cosist of water with sustaiable yield of ± 27,000 tos per year. Careful maagememt of aquatic resource i the area is of ecessity. Accurate iformatio about fish resource is pivotal for fisheries developmet plaer especially fisheries developmet. Quatitative Writer s Correspodece: Wilda Alfarizi wildaalfarizi@rocketmail.com Alamat : Faculty of Fisheries ad Marie Sciece Brawijaya Uiversity. iformatio such as estimated potetials of fisheries resource is determied by several types of basic iformatio such as survey from research ships or iformatio obtaied from periodic moitorig system especially catch effort data, catchig seaso ad habitat of particular types of fish i their respective waters [3]. Fisheries resource i Pasurua has huge potetials as it may support local ecoomics. I order to realize the idea, accurate scietific iformatio as cosideratio i developig plas about effective, efficiet ad sustaiable fisheries resource maiteace ad utilizatio i Pasurua is eeded. Purpose of the study is to fid out the umber of sustaiable fishig ad the total allowable catches i Pasurua, East Java. Besides that, it also describes status of fishery resources utilizatio ad developig strategies for fishery resources maagemet ad cotrol i Pasurua, East Java. METHODOLOGY The study is aalytical research with descriptive approach. Descriptive approach is a method used to aalyze data by describig ad portrayig data that have bee collected as they are without tryig to draw geeral coclusio from the data. The study also describes status of fishery resources utilizatio usig well-desiged assumptio ad calculatio as well as develops 151

2 strategy ad evaluates the strategy through focus group discussios. Data Collectio Method There are three approaches to determie policy for allowable catch i fisheries resources utilizatio i Pasurua that is takig catch effort data from from East Java s fisheries statistical reports. The goal of collectig catch effort data is to fid out Maximum Sustaiable Yield (MSY) ad Total Allowable Catch (TAC). Schaefer ad Fox method is used for MSY ad TAC calculatio. The followig procedure is to calculate fishig equipmet coversio by makig catch ad effort tables. The first table cosists of iformatio from the statistical data from Pasurua from 2004 to 2014 [4]. O the other had, the secod table cosists of East Java s catch ad effort statistical data that cosists of eight regecies from 2004 to Oce those tables have bee filled with ecessary iformatio, the researchers come up with compariso which later is goig to be aalyzed with Relative Fishig Power (RFP). The process is cotiued by coutig potetial sustaiable reserves usig Walter- Hilbor method. The method is used to describe fisheries resource utilizatio status i Pasurua. Whe the status of fisheries resource utilizatio has bee determied, it ca be used for fishig equipmet coversio usig Relative Fishig Power (RFP). The result of the three approaches ca be used to develop strategies for fisheries resources amaagemet ad cotrol i Pasurua, East Java. Developig alterative strategy ad eed aalysis from several alteratives is carried out based o: Idetifyig fisheries ad o-fisheries potetial capacity i Pasurua Idetifyig issues related to utilizatio, problems as well as potetials for fisheries resources i Pasurua through observatio ad iterview (distributig questioaires). Focus Group Discussio (FGD) with stakeholders workig i fisheries or ofisheries to aalyze importace of alterative strategies beig developed. Data Aalysis Fishig equipmet used as stadard to calculate fisheries resource potetials for each species of fish is selected based o which fishig equipmet is the most domiat oe to catch certai species of fish. Tembag fish i Pasurua is exploited usig gill et, payag ad baga tacap. Fishig maagemet model refers to assumptio that fishig equipmet should be trasferred ito a stadardized uit. I other words, whe fishig equipmet is coverted ito oe uit of measuremet, it is cosidered as stadardized fishig equipmet. The coversio method used the followig equatio: CpUE = Qi i=1 Y fish Ei i=1 where : CpUE = catch per uit of effort Qi i=1 = Average portio of fishig equipmet 1 towards total productio of fish Y fish = Average catch by fishig equipmet fi i=1 = Average effort from stadardized fishig equipmet (trip) RFP = Y/ fi i=1 Y/f stadardized equipmet where: RFP = Type of fishig equipmet coversio idex Y/fi i=1 = Catch per uit effort of each type of fishig equipmet Y/f alat stadar = Catch per uit effort from stadardized equipmet Maximum Sustaiable Yield Maximum sustaiable yield of tua is carried out usig holistic approach or productio method surplus that is Schaefer (1954) ad Fox (1970) s models to decide the best fit model that represets the actual level of tua exploitatio. Maximum Sustaiable Yield Effort ad Maximum Sustaiable Yield ca be obtaied by the followig formula: 1. Schaefer (1954) y = af bf 2 (1) fmsy = a a² daymsy = (2) 2 b Dimaa : y = Yield f = Effort a = Schaefer s Itercept b = Schaefer s Slope model Ymsy = Maximum Sustaiable Yield (Sustaiable Yield Potetials) fmsy = Sustaiable Yield Efforts 2. Fox (1970) 4b 152

3 Y = exp cf bf (1) fmsy = 1 daymsy = 1 (c 1) (2) d d where: c = Fox s Itercept d = Fox s Slope facilitates decisio maker i makig decisio to uderstad attitude, belief, expressio ad keywords participats use related to theme of the study. I other words, FGD reveals some reasos behid participat s respose. I order to calculate utilizatio level of fisheries resources, the followig formula is used: JTB = 80% x Ymsy Sustaiable Reserve Potetials Predictio ad Curret Reserve Potetials Based o Walter ad Hilbor (1976) biomass from year t + 1, Bt + 1 ca be predicted based o Bt added by growth of biomass for a year ad subtracted by amout of biomass i the year ad subtracted by amout of biomass produced by exploitatio of efforts (f). I geeral, the study is divided ito two processes of data aalysis. The first process [A] is to decide fisheries resource utilizatio status i Pasurua (Picture 1), ad the secod process [B] is to develop strategy based o FGD ad respodet s feedback usig Likert scale (Picture 2). Picture 1.Flow chart of predictig reserve process ad fisheries resource utilizatio status i Pasurua that ivolves calculatig fishig efforts, fishig equipmet coversio, sustaiable potetial reserves predictio ad calculatig total allowable catch. Focus Group Discussio (FGD) FGD is a type of discussio of which purpose is to obtai iformatio about expectatio, eed, perspective, trust ad experiece participats eed. I the study, participats refer to fisheries ad o-fisheries stakeholders i Pasurua. FGD Picture2. Flow Chart of developig alterative strategy for fishig resources utilizatio cotrol FGD as well as aalysis/ respose towards the alterative strategy usig Likert scale. FGD Results Aalysis Iformatio from FGD from three topics o the table is aalyzed usig the followig priciples: 1) Codig towards attitude ad opiios of FGD participats who have similarities related to FGD topic, 2) Similar attitude towards topics of FGD, 3) Similar terms used icludig differet opiio towards term used by participats to uderstad each of the topic, 4) Makig categorizatio towards attitude ad opiio of FGD participats related to developig strategy for resource utilizatio cotrol, 5) Aalysis of each strategy for fisheries resource utilizatio i Pasurua 6) Makig report about FGD Scale of Iterest Measuremet Likert scale i this cotext is used to measure respodet s agreemet ad disagreemet towards a object. The scale stretches from [1] strogly agree; [2] agree; [3] eutral; [4] disagree; [5] strogly disagree. The scale is 153

4 developed based o type of data produced, which is ordial data. Aalysis towards likert scale i the study is based o the strategy beig developed. Aalysis towards the result of Likert scale will use weight value table (table 1) ad percetage table (table 2). Table 1. Weight Value Weight Value Scale A 5 Strogly Agree B 4 Agree C 3 Neutral D 2 Disagree E 1 Strogly Disagree Table 2. Percetage Respose Descriptio 0% % Strogly (Disagree, Very Poor) 20% % Disagree or Poor 40% % Neutral or Fair 60% % Agree, Good, Like 80% - 100% Strogly (Agree, Very Good, Really Like) Data from respodet s respose are the calculated by multiplyig each poit of respose with the weight that has bee determied based o the weight value table (table 3), usig the followig equatios: Total Score = ( Respose x Strogly Agree Weight Value) + ( Respose x Agree Weight Value) + ( Respose x Neutral Weight Value) + ( Respose x Disagree Weight Value) + ( Respose x Strogly Disagree Weight Value) I order to get iterpretatio result, oe should fid out the highest score (X) ad the lowest score (Y) usig the followig formula: Y = Highest score i Likert scale x total respodets (The highest score is 5) "Refer to Weight Value" X = Lowest Score i Likert Scale x total respodets (The lowest score is 1) "Refer to Weight Value" Therefore, aalysis of respodet s iterpretatio towards strategy to cotrol marie fisheries resources utilizatio i Pasurua equals to the result of Idex % formula below ad percetage of scores as coclusio usig percetages i Table 1. Idex % = Total score Y 100 FINDINGS AND DISCUSSIONS Catchig Productio Catchig productio of fish i Pasurua has bee chagig from 2004 to The highest productio is i 2005 ad the total catch is 13,139.3 tos. O the other had, the lowest productio is i 2010 with the total catch of 7,037.3 tos. I 2006, productio of fish decreased 70% ad came back up i 2010 by 61% ad icreased by 15% agai i I 2013, it decreases up to 36% (Picture 3). Picture 3.Productio of Fish i Pasurua Based o calculatio of fishig equipmet coversio i Appedix 4 ad Figure 4, it ca be see that payag (a type of fishig equipmet) has the highest percetage of catch (43%) compared to other fishig equipmet. Payag is established as stadardized fishig equipmet sice its total CpUE is to/trip. Sice RFP of payag is 1, the RFP score of baga tacap (a type of fishig equipmet) is with 0.51 ratios that meas the ratio equals oe uit of payag. Sice RFP of payag agaist isag hayut et (a type of fishig equipmet) is , it meas oe uit of payig equals to 0.55 uit of isag hayut et i oe fishig trip yag artiya satu uit payag setara dega 0,55. Furthermore, RFP of oe uit of payag agaist isag tetap et (a type of fishig equipmet) is that meas oe uit of payag equals to 0.8 uit of isag tetap et i oe fishig trip. Meawhile, RFP of oe uit of payig agaist klitik et is which meas oe uit of payig equals to 1.59 uit of klitik et i oe fishig trip. 154

5 Picture 4.Proportio of Four Type of Fishig Equipmet i Pasurua Schaefer s Model Predictio for Maximum Sustaiable Yield (MSY) ad Total Allowable Catch (TAC) i oe area ca be used usig Schaefer (1959) s ad Fox (1970) s model. I this case, makig predictio of fishig equipmet da total amout of catch i Pasurua is pivotal sice it is related to estimatio from both models. Based o output for Schaefer s model (Figure 5) that is obtaied from estimatio result, it is foud out that Multiple R score is It meas correlatio betwee effort ad CpUE is pretty high. R Square isr that 58% of chage or variace from effort ca be explaied based o CpUE chage or variace, while the remaiig 42% is explaied by other variable. Based o liear regressio aalysis for Schaefer model, a or itercept is ad b or slope is where a ad b are costat i liear equatio. Fox s Model Output for Fox s model (Figure 6) is obtaied based o estimatio of Fox s model potetials that results i Multiple R score of 0, It meas there is correlatio betwee efforts ad L CpuE. R Square (correlatioal coefficiet) is with adjusted R Square of Correlatioal coefficiet score of meas 62% chage or variace of effort ca be explaied by L CpUE, while the remaiig 48% is explaied by other variables. R Square fuctios to aalyze the regressio model sice it ca explai its correlatio with other variables i percetages. Based o regressio aalysis usig Fox s model, c or itercept is ad d or slope is where c ad d are costat i liear equatio. FMSY is obtaied usig (1/d). D is where score of d is slope of regressio. Based o the compariso betwee oe ad , the catch is 587,478.99/trip that idicates the umber of payig as stadardized fishig trip i optimum coditio (fmsy). To obtai sustaiable maximum yield (YMSY), the formula used is (fmsy)*exp(c-1). The result is 9.419,86 tos. TAC is obtaied based o 80% of YMSY that is 7, tos, while fjtb is obtaied usig Y=afbf² ad the result of the equatio is 323, /trip. Picture 5. Correlatio betwee Fishig Equipmet ad Schaefer s Fishig Equipmet Trip Through compariso betwee itercept or a ad x variable (a/2b), where a is ad b is , fmsy score is 584,929.94/trip. MSY is calculated usig (a^2/4b) where a is times ad the compared to four times of b. The YMSY result based o the formula is 9, tos. YJTB score obtaied from 80% of YMSY is 7, tos, while fjtb is obtaied based o Y=af-bf² ad the result (fjtb) is 323,341.31/trip. Picture 6. Correlatio betwee Fishig Trip ad Fox s Model Fishig Trip Sustaiable Reserve Potetials (Be) of Fish i Pasurua Sustaiable Reserve Potetials (Be) of fish i a area ca be obtaied usig Walter-Hilbor s equatio. The method does ot deped upo balacig coditio from oe fishig biomass like Schaefer (1954) s ad Fox (1970) s model. Besides that, it ca estimate populatio parameter scores (r = itrisic growth rate of biomass stock (costat), k = carrig capacity, q = catchig ability (catchability coefficiet) i the moel so that predictio is more dyamic ad 155

6 closer to the real situatio. The model is also kow as o-equilibrium state model (Table 3). Table 3. No-equilibrium state Model Score Variable Walter-Hilbor Itercept B0 = r X variable 1 B X variable 2 B2 = q K Be Note: r = itrisic growth of populatio rate k = carrig capacity q = catchability coeficie Be = Sustaiable reserve potetials The scores are the result of calculatio usig Walter-Hilbor s model. Itercept score da X variable 1, 2 are the result of summary output. R, k, q scores ca oly be obtaied from Walter- Hilbor s model based o b0, b1 ad b2 scores that equal to X variable 1,2. Output for Walter-Hibor s model is estimatio of Walter-Hilbor s model i Appedix 8a. Th output is the basis for Multiple R score from liear regressio i Appedix 8b that is where R Square is ad R Square adjuster is Correlatioal coefficiet score is that meas 96% of chage or variace ca be explaied usig X1 ad X2 variables chage or variavce while the remaiig 4% is explaied usig other variables. Whe R Square is closer to 1, regressio model ca explai correlatio betwee depedet variable (X) ad idepedet variable (Y) more accurately that is stated i percetage compared to Schaefer ad Fox s model or Walter-Hilbor s model of which predictio is better tha Schaefer ad Fox s model. Aual growth rate (r) is obtaied usig Walter-Hilbor s regressio model. Carrig capacity (k) is obtaied usig k=(b0)/(b1*b2) where b0 is /year, b1 is ad b2 is Therefore, the aual growth rate of fish is while sustaiable potetial of fish is half of the carrig capacity that is 3,5179. Level of fish utilizatio is the average of effort i the last five years divided by fmsy. The result of both calculatios are multiplied by 100 ad the level of fish utilizatio is 86%. Based o the level of fish utilizatio, status of fisheries utilizatio i Pasurua ca be categorized as fully exploited which meas the resources i the area have exploited very close to MSY score ad icreasig amout of catch is highly urecommeded. Sustaiable Potetials Calculatio ad Total Allowable Catch Sustaiable potetial is calculated usig Schaefer, Fox ad Walter-Hilbor s method described i Tabel 4. Table 4.Sustaiable Potetials Data No. Schaefer Fox Walter-hilbor MSY 9.830, JTB 7.864, E-10 The goal of aalysis based o iformatio o Table 4 is to fid out amout of sustaiable potetials ad total allowable catch i Pasurua. The ext procedure is to get iformatio about utilizatio status by makig compariso betwee data aalysis of Table 5 ad Tabel 6. The result is as follow: Tabel 5. Compariso of Schaefer s Data Aalysis Schaefer s Model fe (amout of fishig equipme t trip i sustaiabl e coditio) uit Ye (amout of sustaiabl e catch) to/year Quatity 2014 Result , ,1 Utilizat io Status Over 9.830, , Over TAC 7.864, ,6 Over Table 5 explais data productio of fish i 10 years is lower tha the 2014 data. Based o the Schaefer s model, fmsy (amout of sustaiable fishig equipmet) is 585,231.9 trip or smaller tha the 2014 data of 604,868 trip. Based o fmsy, it ca be cocluded that fishig equipmet utilizatio has exceeded the stadard or overly exploited. YMSY (amout of sustaiable catch) is 9,830.9 tos/year or lower tha the 2014 data of 13,942.9 tos/year. Based o the data (ymsy), it ca be cocluded that fisheries utilizatio (catchig) is overly exploited. TAC is 7,864.7 or smaller tha the 2014 data of 11,154.3 that meas overfishig has bee take place i Pasurua. Table 6. Compariso of Fox s Data Aalysis Fox s Model Quatity 2014 Result Utilizat io 156

7 fe (amout of fishig equipmet trip i sustaiable coditio) uit Ye (amout of sustaiable catch) to/year ,1 Status Over , Over TAC ,6 Over Table 6 explais that productio i 10 years is smaller tha the 2014 data. Based o Fox s model, fmsy (amout of sustaiable fishig equipmet) is 587,977 trip or smaller tha the 2014 data of 604,868 trip. It meas the fishig equipmet utilizatio has exceeded the stadard or overly exploited. YMSY (amout of sustaiable catch) is tos/year or smaller tha the 2014 data of 13,942.9 tos/year. Based o the data (ymsy), it ca be cocluded that fisheries utilizatio (catchig) is overly exploited. FurthermoreTAC is 7,535 or smaller tha the 2014 data of 11,154.3 that meas overfishig has bee take place i Pasurua. There has bee catchig equipmet overcapacity that results i over fishig as metioed i Table 12 ad Table 13 about Schaefer s ad Fox s data aalysis. Thus, developig strategy to maage ad cotrol fishig resources utilizatio i Pasurua is pivotal. Miimum Sustaiable Yiled (MSY) ad Total Allowable Catch (CAT) should be the referece to carry out fishig utilizatio i Pasurua. Strategy for Fisheries Resource Utilizatio Cotrol Based o idetificatio ad aalysis towards reserve predictio ad status of marie fisheries resource utilizatio i Pasurua, the researchers develop strategy to cotrol fisheries resource utilizatio. The strategy is developed based o several issues listed as the results of iterviews, filed observatios ad FGD. FGD respodets are three groups the researchers assume have represeted stakeholders i Pasurua. The researchers believe that these respodets ifluece the growth of fishig idustry i the area especially fisheries field. The first group cosists of fisherme that represet people carryig out fishig activity. The secod group is govermet officers who have authorizatio towards ay policy ad decisio related to fishig idustry ad activities i Pasurua. The third group cosists of other fishig commuity groups ad academics. The questios are related to the strategy beig developed withi the study ad they refere to a set of guidelie established prior to FGD. The questios are described i Table 7. Table 7. Theme ad Importat Questios i Strategy Developmet Theme Public Perceptio about Status of Marie Fisheries Resource Utilizatio i Pasurua Alterative strategy to cotrol fisheries resource utilizatio i Pasurua Aalysis of importace of some alteratives related to fisheries resource utilizatio cotrol i Pasurua Questios 1. What ideas do you have about stock (reserve) ad status of Marie Fisheries Resource Utilizatio i Pasurua? 2. Why do you thik people should kow status of Marie Fisheries Resource Utilizatio i Pasurua? 3. What respose or alterative activity should be coducted oce status of Marie Fisheries Resource Utilizatio i Pasurua has bee established? 1. Why should fisheries resource utilizatio i Pasurua be cotrolled? 2. What alterative strategy should be take to cotrol fisheries resource utilizatio i Pasurua? 3. How is future prospect of each alterative strategy of which purpose is to cotrol fisheries resource utilizatio i Pasurua that has bee established? 1. From the fisheries resources utilizatio cotrol strategies which oe(s) is importat ad accessible? Based o the idetificatio, the strategies to cotrol marie fisheries resource utilizatio i Pasurua are as follow: 1. Establish fishig zoe for fisherme who catch overly caught types of fish i order to prevet overfishig, 2. Recommed ope-close system for particular seaso to buy some time for overly caught fish to lay their eggs ad reproduce, 3. Coduct other alteratives besides fishig as source of icome to buy some times for fisheries resource reserves i Pasurua to recover aturally, 157

8 4. Reew marie productio iformatio that describes real life coditio of fisheries resource as iitial data to calculate marie fisheries reserve ad utilizatio i Pasurua. The strategies are the aalyzed to get respose from the respodets to see the importace ad sigificace of each strategy as described i Picture 7 Picture 7. Net Graph of Respodet Groups Opiios towards the Importace of Alterative Strategy for Marie Fisheries Resources Utilizatio i Pasurua Scale of Iterest Measuremet Likert scale is used to measure respodets agreemet or disagreemet towards the alterative strategy beig developed. Their resposes start from [1] strogly disagree; [2] disagree; [3] eutral; [4] agree; to [5] strogly agree. Likert scale is used to measure respodets opiio i FGD. Besides Likert scale, weight value table is also used to measure respodets opiio. Calculatio of FGD result percetage towards the etire alterative strategies is preseted i Table 8. Total Score = (7 x 5) + (11 x 4) + (5 x 3) + (0 x 2) + (0 x 1)= 94 Based o the total score, the iterpretatio is calculated as follow: Y = 5 x 23 = 115 X = 1 x 23 = 23 Thus, respodets iterpretatios towards the strategy to cotrol fisheries resource utilizatio are: Total score Idex % = Y Idex % = Idex % = (strogly agree) The formula above shows that most of the respodets agree with the alterative strategies. The percetage is 81.75%. As a coclusio, the strategies ca be implemeted ad fuctio as referece for sustaiable fisheries resource maagemet i Pasurua. Table 8. Percetage of the Etire Alterative Strategies Respose Respose [1] [2] [3] [4] [5] Marie Fisheries Resource Utilizatio Cotrol Strategies ivolves: 1. Updatig fisheries productio (catchig) data 2. Fishig seaso maagemet 3. Fishig zoe maagemet 4. Fishig ad o-fishig alteratives Note: [1] strogly disagree; [2] disagree; [3] eutral; [4] agree;[5] strogly agree CONCLUSION Based o Fox s model about aalysis of total catch (Y), MSY is 9, tos ad TAC is 7, tos. I terms of fishig equipmet, MSY is 578, trips ad ftac is 219, trips. Based o MSY, TAC ad compariso betwee the data for 10 years ad the 2014 data, overfishig has take place i Pasurua. As the cosequece, MSY ad TAC should be the referece prior to carryig out fishig activities. I other words, establishmet of MSY ad TAC is the strategy to cotrol fisheries resources utilizatio. Supervisio o the amout of catch ad types of fishig equipmet should also be coducted. Oe of the methods is to give limitatio for fishig hours ad areas % of respodets of FGD give their approval towards the developed strategies. ACKNOWLEDGMENT The writers would like to thak the Departmet of Fisheries ad Marie Resources i Pasurua for providig fisheries statistical data ad stakeholders workig for fisheries i Pasurua for their willigess to be the respodets i the study. 158

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