Saran Pengelolaan zona pemanfaatan ekosistem mangrove melalui optimasi pemanfaatan sumberdaya kepiting bakau (scylla serrata) di Taman Nasional Kutai provinsi Kalimantan Timur

Jenis alat tangkap yang direkomendasikan untuk digunakan adalah jenis alat tangkap buburakkang dengan lokasi tangkapan pada zona depan hutan mangrovepinggiran pantai, karena pada lokasi ini cenderung lebih banyak terdapat kepiting muda yang berukuran kecil, sehingga dapat dijadikan sebagai benih pada budidaya sylvofishery; 4 pemberlakuan kuota penangkapan kepiting bakau. Laju eksploitasi kepiting jantan dan betina di Muara Sangatta dan Teluk Perancis, sudah melebihi ambang batas maksimum, sehingga tidak boleh dilakukan penambahan upaya untuk penangkapan S. serrata, baik berupa penambahan unit alat tangkap, frekuensi penangkapan, maupun dari jumlah nelayan; 6 restoking Scylla serrata dapat dilakukan dengan mengembalikan ke alam sebagian dari hasil panen budidaya sylvofishery. Restoking induk betina Scylla serrata minimal sebesar 1 dari panen budidaya sylvofishery.

6.2 Saran

Penelitian ini belum melakukan kajian untuk optimasi budidaya sylvofishery, sehingga belum dapat menduga optimasi ekonomi pemanfaatan hutan mangrove . DAFTAR PUSTAKA [AED] Atlantic Ecology Division. 2008. Habitat Suitability Index HSI. http:www.epa.govaedhtmlresearchscallophsi.html Afrianto E, E Liviawaty. 1993. Pemeliharaan Kepiting. Kanisius. Yogyakarta. Ali MY, D Kamal, SMM Hossain, MA Azam, W Sabbir, A Murshida, B Ahmed, K Azam. 2004. Biological studies of the mud crab, Scylla serrata Forskal of the sundarbans mangrove ecosystem in Khulna Region of Bangladesh. Pakistan Journal of Biological Sciences 7: 1981-1987. Aminullah E. 2004. Berpikir Sistemik Untuk Pembuatan Kebijakan Publik, Bisnis, dan Ekonomi . Jakarta : Penerbit PPM. Arifin Z. 2006. Carrying Capacity Assessment on Mangrove Forest with Special Emphasize on Mud Crab Sylvofishery System: A Case Studi in Tanjung Jabung Timur District Jambi Province. [Thesis]. Post Graduate School. Bogor Agricultural University. Balle M. 1994. Managing with Systems Thinking, Making Dynamics Work for You in Business Decision making . London : Irwin McGraw Hill. Bene C, Tewfik A. 2000. Analysis of Fishing Effort Allocation and Fishermen Behaviour Trough a System Approach . Centre For The Economics and Management of Aquatic Resources CEMARE Res.pap. . Bengen DG. 2000. Teknik Pengambilan Contoh dan Analisis Data Biofisik Sumberdaya Pesisir. Pusat Kajian Sumberdaya Pesisir dan Lautan. Institut Pertanian Bogor. Bengen DG. 2004. Ekosistem dan Sumberdaya Alam Pesisir dan Laut serta Prinsip Pengelolaannya. Pusat Kajian Sumberdaya Pesisir dan Lautan. Institut Pertanian Bogor. Bonine KM, EP Bjorkstedt, KC Ewel, M Palik. 2008. Population characteristik of the mangrove crab Scylla serrata Decapoda: Portunidae in Kosrae, Federation States of Micronesia: effect of harvest and implications for management. Jurnal Pacific Science 62: 1-19. Brower JE, JH Zar, CN Ende. 1990. Field and Laboratory Methods for General Ecology . Edisi Ketiga. Wm C. Brown Publishers. United States of Amerika. Bueno SLS, RM Shimizu. 2009. Allometric growth, sexual maturity and adult male chelae dimorphism in Aegla franca Decapoda: Anomura: Aeglidae. Journal of Crustacean Biology 293: 317-328. Chen X, G Li, B Feng, S Tian. 2009. Habitat Suitability Index of Chub Mackerel Scomber japonicus from July to September in the East China Sea. Journal of Oceanography 6: 93-102. Cholik F, A Hanafi. 1991. A review of the status of the mud crab Scylla sp. fishery and culture in Indonesia. Reports of The Seminar on The Mud Crab Culture and Trade . Surat Thani, Thailand, November 5-8 1991. Cholik F, A Hanafi. 1992. A Review of the status of mud crab fishery and culture in Indonesia. Central Research Institute for Fisheries. Jakarta. p 3-6. Cholik F. 1999. Review of Mud Crab Culture Research in Indonesia. In Mud Crab Aquaculture and Biology. ACIAR Proceedings N0.78 . Canberra. Australia. [CII] Conservation International Indonesia. 2006. Konservasi berbasis masyarakat melalui Daerah Perlindungan Laut di Kepulauan Togean Sulawesi Tengah . Palu: CII Togean Program. Dahuri R, J Rais, SP Ginting, MJ Sitepu. 2001. Pengelolaan Sumberdaya Pesisir dan Lautan Secara Terpadu, cetakan kedua. Pradnya Paramita. Jakarta. 326 p. Dahuri R. 2003. Paradigma Baru Pembangunan Indonesia Berbasis Kelautan. Orasi Ilmiah: Guru Besar Tetap Bidang Pengelolaan Sumberdaya Pesisir dan Lautan FPIK. IPB. Bogor. Damanik R, B Prasetiamartati, A Satria. 2006. Menuju Konservasi Laut yang Pro Rakyat dan Pro Lingkungan. Wahana Lingkungan Hidup Indonesia. Jakarta. Davis JA, GJ Churchill, T Hecht, P Sorgeloss. 2004. Spawning characteristics of the South African mudcrab Scylla serrata Forskall in captivity. Journal of The World Aquaculture Society 35:121-133. [Dephut] Departemen Kehutanan. 2006. Peraturan Menteri Kehutanan Nomor: P.56Menhut-II2006 tentang Pedoman Zonasi Taman Nasional. Departemen Kehutanan RI. [Dephut] Departemen Kehutanan. 2007. Kawasan Konservasi Indonesia. Departemen Kehutanan. Jakarta. Dianthani D. 2002. Evaluasi kondisi lingkungan perairan Muara Badak kaitannya dengan larva kepiting bakau. [Tesis]. Institut Pertanian Bogor. Downs JA, RJ Gates, AT Murray. 2008. Estimating carrying capacity for sandhill cranes using habitat suitability and spatial optimization models. Jurnal Ecological Modelling 214: 284-292. Effendie MI. 1979. Metode biologi perikanan. Yayasan Dewi Sri. Bogor: 112 p. English S, C Wilkinson, V Baker. 1997. Survey Manual for Tropical Marine Resource, 2 nd edition. Australian Intitute of Marine Science. Townsville. Eriyatno. 2003. Ilmu Sistem : Meningkatkan Mutu dan Efektifitas Manajemen. Jilid satu . Edisi ketiga. IPB Press. Bogor. Ewel KC. 2008. Mangrove crab Scylla serrata populations may sometimes be best managed locally. Journal of Sea Research 59: 114 – 120. Ford A. 1999. Modeling the Environment, An Introduction to System Dynamics Models of Environmental Systems. Island Press. Washington DC. USA. Forrester JW. 1994. System Dynamics, System Thinking, and Soft OR. http:sysdyn.clexchange.orgroad-mapsrm-toc.html . [8 Desember 2006]. Garth JS, DP Abbott. 1980. Branchyura: The True Crabs. In Intertidal Invertebrates of California . California: Stanford University Press. Page. 594 – 623. Genodepa JG. 1999. Pen Culture Experiments of the Mud Crab Scylla serrata in Mangrove Areas. In Mud Crab Aquaculture and Biology. ACIAR Proceedings N0.78 . Canberra. Australia. [GESAMP] Joint Group of Experts on the Scientific Aspects of Marine Environmental Protection. 1996. The contributions of science to integrated coastal management. Reports and studies No. 61. Food and Agriculture Organization of the United Nations, Rome Gunawan W, WC Adinugroho, Noorcahyati. 2005. Model pelestarian ekosistem mangrove di kawasan Taman Nasional Kutai oleh masyarakat dusun Teluk Lombok . Loka Litbang Satwa Primata, Badan Litbang Kehutanan, Departemen Kehutanan. Hall NG, KD Smith, S de Lestang, IC Potter. 2006. Does the largest chela of the males of three crab species undergo an allometric change that can be used to determine morphometric maturity ?. ICES Journal Marine Science 63 1: 140-150. Haddon M, S Frusher, T Hay, M Hearnden, N Gribble, I Brown. 2004. Mud crab scylla serrata assessment workshop. Fishery report no. 79. Presented in Mud crab scylla serrata assessment workshop Fisheries Group , Department of Business, Industry and Resource Development, Darwin, 26 - 28 july 2004. Website at www.fisheries.nt.gov.au Harjanto D. 2002. Tinjauan Perspektif Pengelolaan Kawasan Mangrove. Tantangan Dan Peluang Rehabilitasinya. Makalah Pelatihan dan Workshop Rehabilitasi Mangrove Tingkat Nasional . INSTIPER Yogyakarta 24-30 September 2002. Haryani EBS, A Dermawan, K Isao, Indriani. 2008. Konservasi Sumberdaya Ikan di Indonesia. Direktorat Konservasi dan Taman Nasional Laut, Dirjen P3K, Departemen Kelautan dan Perikanan dan Japan International Cooperation Agency JICA. Jakarta. Hastuti S. 1998. Pertumbuhan embrio kepiting bakau, Scylla serrata, pada beberapa tingkat salinitas media. Thesis. Program Pascasarjana IPB. Bogor Heasman MP, DR Fielder, Sheperd. 1985. Mating and spawning in the mud crab Scylla serrata Forskal. Australian Journal of Freshwater Research. 36: 773-783. Hill BJ. 1975. Abundance, breeding and growth of the crab Scylla serrata in two South African estuaries. Marine Biology 32: 119–126. Hill BJ. 1979. Aspects of feeding strategy of predatory crab, Scylla serrata. Marine Biology 55:209-214. Hyland SJ, BJ Hill, CP Lee. 1984. Movement within and between different habitats by the portunid crab Scylla serrata. Marine Biology 80: 57-61 Hutching B, P Saenger. 1987. Ecology of Mangrove. University of Queensland Press. St. Lucia, London, New York. 388 p. Ikhwanuddin A Mhd, S Oakley. 1999. Culture of mud crabs in mangrove areas : the Sarawak experience. In Press Procs. Of Regional workshop on integrated management of Mangrovecoastal ecosystems for sustainable aquaculture development . 23rd-25th Ed, Mackintosh, D. Kuching, Sarawak, Malaysia. Indrawan M, RB Primack, J Supriatna. 1997. Biologi Konservasi. Jakarta: Buku Obor. 624 hlm. [IUCN] International United Conservation Nature. 1994. Guidelines for Protected Areas Management Categories. IUCN, Cambridge, UK and Gland, Switzerland. 261pp. Jewett SC, CP Onuf. 1988. Habitat suitability index models: red king crab. U.S. Wildlife Service Biologi Reproduction 82:110-153. Johnston D, CP Keenan. 1999. Mud Crab Culture in the Minh Hai Province, South Vietnam. In Mud Crab Aquaculture and Biology.Australian Centre for International Agricultural Research ACIAR Proceedings No. 78. Canberra. Australia. Jones D, G Morgan. 1994. Crustaceans of Australian Waters. Image Productions. Singapure. Page: 1:126. Jorgensen SE. 1994. Fundamental of Ecological Modeling. Elsevier. Amsterdam. Juan F, EG Gurriar´an. 1998. New approaches to the behavioural ecology of decapod crustaceans using telemetry and electronic tags. Hydrobiologia 371372: 123–132 Juwana S. 2004. Penelitian Budidaya Rajungan dan Kepiting: Pengalaman Laboratorium dan Lapangan. Budi Setyawan, W. et al. Editor. Interaksi daratan dan Lautan: pengaruhnya terhadap sumberdaya dan lingkungan. Prosiding Simposium Interaksi Daratan dan Lautan . LIPI Press. Jakarta. 428-473. Juwana S. 1995. Budidaya Kepiting di Negara-negara Asia. Oceana XX: 1-9. Karim MY. 1998. Aplikasi Pakan Alami Brachionus plicatilis dan Nauplis Artemia salina yang Diperkaya Dengan Asam Lemak Omega-3 dalam Pemeliharaan larva Kepiting Bakau Scylla serrata Forsskal. [Disertasi]. Bogor. Institut Pertanian Bogor. Karim MY, Arifin, K Amri. 2002. Kelangsungan Hidup dan Pertumbuhan Kepiting Bakau Scylla serrata Forsskal yang Dipelihara dalam Kurungan di Laut. Jurnal Teknologi Perikanan dan Kelautan 7: 124 -129 Kasry A. 1996. Budidaya Kepiting Bakau dan Biologi Ringkas. Penerbit Bharata. Jakarta. 93 hal. Kathiresan K, BL Bingham. 2001. Biology of Mangroves and Mangrove Ecosystems. Marine Biology 40: 81-251. Kavanagh P. 1999. Rapfish SPSS Automation and Analysis of Technique. UBC Fisheries Centre. Unpublished report. Keenan CP. 1997. The Fourth Species of Scylla. Proceedings of an international scientific forum held in Darwin, Australia, 21–24 April 1997 Bribie Island Aquaculture Research Centre , Queensland. Australia Keenan CP, PJF Davie, DL Mann. 1998. A Revision of the genus Scylla De Haan, 1983 Crustacea: Decapoda: Brachyura: Portunidae. The Raffles Bulletin of Zoology 46 1: 217-245. Keenan CP. 1999. The Fourth Spesies of Scylla. In Mud Crab Aquaculture and Biology. ACIAR Proceedings N0.78 . Canberra. Page. 48-58. King M. 1997. Population Dynamics. In: Fisheries Biology, Assessment and Management , 2nd Edn. Fishing News Books, Oxford, pp: 79-197. Kirkwood CW. 1998. System Dynamics Methods : A Quick Introduction. Arizona: Arizona State University. Kozloff EN, LH Price. 1987. Marine Invertebrates of The Pasific Nortwest book 1, 2, 3. University of Washington Press. Seatle and London. Kuntiyo, Z Arifin, T Supratomo. 1994. Pedoman Budidaya Kepiting Bakau Scylla serrata di Tambak. Direktorat Jenderal Perikanan, Balai Budidaya Air Payau, Jepara. Kusmana C. 1995. Habitat Hutan Mangrove dan Biota. Laboratorium Ekologi Hutan Fakultas Kehutanan Institut Pertanian Bogor. Bogor. Kusmana C. 1995. Metode Survey Vegetasi. Fakultas Kehutanan Institut Pertanian Bogor. Laapo A. 2010. Optimasi Pengelolaan Ekowisata Pulau-Pulau Kecil Kasus Gugus Pulau Togean Taman Nasional Kepulauan Togean. Disertasi [tidak dipublikasikan]. Sekolah Pascasarjana Institut Pertanian Bogor. 187 hal. Leslie HM, KL McLeod. 2007. Confronting the challenges of implementing marine ecosystem-based management. Front Ecol Environ 510: 540–548. Le Vay L. 2001. Ecology and management of mud crab Scylla spp. Asian Fisheries Sciense 14:101-111. Le Vay L, JH Lebata, M Walton, J Primavera, E Quinitio, C Lavilla-Pitogo, F Parado-Estepa, E Rodriguez, VNg Ut, TT Nghia, P Sorgeloos, M Wille. 2008. Approaches to stock enhancement in mangrove-associated crab fisheries. Reviews in Fisheries Science 16:72–80. Le Vay L, VNg Ut, M Walton. 2007. Population ecology of the mud crab Scylla paramamosain Estampador in an estuarine mangrove system; a mark- recapture study. Marine Biology 151:1127–1135. Lovett DL. 1981. A Guide to The Shrimps, Prawns, Lobsters, and Crabs of Malaysia And Singapore . Faculty of Fisheries and Marine Science, University Pertanian Malaysia. Selangor. 156. Lyneis JM. 1980. Corporate Planning and Policy Design : A System Dynamics Approach . Massachussetts : The MIT Press. Macintosh DJ, C Thongkum, K Swamy, C Cheewasedtham, N Paphavisit. 1993. Broodstock management and the potential to improve the exploitation of mangrove crabs, Scylla serrata Forskål, through pond fattening in Ranong, Thailand. Aquaculture Fisheries Management 24:261-269. MacKinnon J, K MacKinnon. 1986. Managing Protected Areas in The Tropics. IUCN and UNEP. Marganof. 2007. Model Pengendalian Pencemaran Perairan di Danau Maninjau Sumatera Barat. [Disertasi]. Sekolah Pascasarjana IPB. Bogor. Markidakis S, SC Wheelwright, VE McGee. 1991. Metode dan Aplikasi Peramalan . Jakarta : Penerbit Erlangga. Mardjono M, N Anindiastuti, IS Hamid, Djunaidah, WH Satyantani. 1994. Pedoman pembenihan kepiting bakau Scylla serrata. Balai Budidaya Air Payau, Direktorat Jenderal Perikanan Jakarta. Mardjono M, N Hamid, ML Nurdjana. 1992. Budidaya Kepiting Bakau: Lahan Baru yang Menguntungkan . Balai Budidaya Air Payau. Jepara. 33 hal. McKee KL. 1996. Mangrove ecosystems: definitions, distribution, zonation, forest structure, trophic structure, and ecological significance. In Mangrove Ecology Workshop Manual, Mangrove ecology: a manual for a field course a field manual focused on the biocomplexity on mangrove ecosystems . Feller I.C. and M. Sitnik Eds. Smithsonian Institution. 136 hal. McLeod KL, HM Leslie, editors. 2009. Ecosystem-Based Management for the Oceans . Island Press, Washington, DC. Moosa MK, I Aswandy, A Kasry. 1985. Kepiting Bakau Scylla serrata Forskal,1775 dari Perairan Indonesia . Sumberdaya Hayati Perairan LON- LIPI. Jakarta. 18 hal. Motoh H. 1977. Biological synopsis of Alimango, Genus Scylla. SEAFDEC Aquaculture Department. 136-153. Motoh H. 1979. Edible crustaceans in Philippines, 11 th in A series. Asian Aquaculture 2:5. Muhammadi, E Aminullah, B Soesilo. 2001. Analisis Sistem Dinamis Lingkungan Hidup, Sosial, Ekonomi, Manajemen . Jakarta : UMJ Press. Mulholland R. 1984. Habitat suitability index models: hard clam. U.S. Fish Wildlife Service . FWSOBS-8210.77. 21 pp. Mulya MB. 2000. Kelimpahan dan distribusi kepiting bakau serta keterkaitannya dengan karakteristik biofisik hutan mangrove di Suaka Margasatwa Karang Gading dan Langkat Timur Laut Provinsi Sumatera Utara. [Tesis]. Institut Pertanian Bogor. Muskar YF. 2007. Mempersiapkan Kepiting menjadi Komoditas Andalan. Pusat Informasi Data PSDA Sulawesi. http:www.lestari-m3.org Nazir M. 2003. Metode Penelitian. Jakarta : Ghalia Indonesia. Nazar F. 2002. Karakteristik habitat dan kaitannya dengan keberadaan tiga jenis kepiting bakau S. olivacea, S. tranquebarica, dan S. serrata di perairan Karang Anyar, Segara Anakan, Cilacap. Jawa Tengah. [Tesis]. Institut Pertanian Bogor. Nurdiani R, C Zeng. 2007. Effects of temperature and salinity on the survival and development of mud crab, Scylla serrata Forsskal, Larvae. Aquaculture Research , 38:1529-1538 Nybakken JW. 1992. Biologi Laut Suatu Pendekatan Ekologis, cetakan kedua. Alih Bahasa Eidman M, DG Bengen, M Hutomo, S Sukardjo. PT Gramedia. Jakarta. Ong KS. 1964. The Early development stage of Scylla serrata Forskal Crustacea : Portunidae, reared in the laboratory. Fisheries. Research. Institute Glugor, Penang, Prociding IPFC. 1 2 : 135-146. Onyango SD. 2002. The breeding cycle of Scylla serrata Forskål, 1755 at Ramisi River estuary, Kenya. Wetlands Ecology and Management 10: 257– 263. Pagcatipunan P. 1972. Observation on the culture of Alimango, Scylla serrata at Camarines Norte Philippines , pp. 362-365. In T.R.V. Pillay, ed. Coastal Aquaculture in the Indo Pacific Region. Fishing News books. Manila, Philippines. Panayotou T. 1982. Management Concept for Small-scale Fisheries : Economic and Social Aspect . FAO-UN. Rome. 53p. [Pemkab] Pemerintah Kabupaten Kutai Timur. 2005. Permasalahan dan Upaya Penyelesaian Taman Nasional Kutai, Makalah Bupati Kutai Timur. Bapedda Kutai Timur, Sangatta. 13 p. Pratiwi R, NI Wijaya. 2010. Laporan Ekspedisi Kapal Penelitian Baruna Jaya VIII di Perairan Kalimantan Selatan, Hasanuddin et al. editor. Kerjasama Direktorat Jenderal Pendidikan Tinggi DIKTI dan Pusat Penelitian Oseanografi Lembaga Ilmu Pengetahuan Indonesia P 2 O-LIPI, 19 November – 1 Desember, 2010, 120 hal. Phelan M, M Grubert. 2007. The Life Cycle of the Mud Crab. Fishnote No: 11. Coastal Research Unit, Department of Primary Industry, Fisheries and Mines. Northern Territory Government of Australia, Darwin. http:www.nt.gov.au dpifm. PHKA-dephut, NRMEPIQ, WWF, Wallacea, TNC. 2002. Membangun kembali upaya mengelola kawasan konservasi di indonesia melalui manajemen kolaboratif: Prinsip, kerangka kerja dan panduan implementasi. Naskah kerja teknis. NRMEPIQ. Jakarta. Poovachiranon S. 1992. Biological studies of the mud crab Scylla serrata Forskål of the mangrove ecosystem in the Andaman Sea. In: Angell, C.A. Ed., Report of the Seminar on the Mud Crab Culture and Trade . Surat Thani, Thailand, November 5-8, 1991. Bay of Bengal Programme, Brackishwater Culture, BOBPREP51, Madras, India, pp: 49-57. Quinitio ET, FD Parado-Estepa. 2001. Molting and regeneration in Scylla serrata juveniles.Workshop on Mud Crab Rearing, Ecology and Fisheries. 8-10 January 2001, Cantho University, Vietnam. p. 23. Rahmadani F, MA Ismawan, M Syoim. 2004. Wajah Mangrove Taman Nasional Kutai: Laporan Survei Potensi Mangrove di Taman Nasional Kutai, Kalimantan Timur . Samarinda : Yayasan BIKAL. Rohmatulloh. 2008. Studi Dinamika Sistem Penilaian Kinerja Pabrik Gula : Kasus PT PG Rajawali II Unit PG Subang Jawa Barat. [Tesis]. Sekolah Pascasarjana IPB. Bogor. Republik Indonesia. 1990. Undang-Undang No. 5 Tahun 1990 tentang Konservasi Sumberdaya Alam Hayati dan Ekosistemnya. Lembaran Negara RI Tahun 1990, No. 49. Sekretariat Negara. Jakarta. Republik Indonesia. 1999. Undang-Undang No. 41 Tahun 1999 tentang Kehutanan. Sekretariat Negara. Jakarta. Republik Indonesia. 2007. Undang-Undang No. 27 Tahun 2007 tentang Pengelolaan Wilayah Pesisir dan Pulau-pulau Kecil. Lembaran Negara RI Tahun 2007 No. 84. Sekretariat Negara. Jakarta. Republik Indonesia. 2007. Peraturan Pemerintah No. 60 Tahun 2007 tentang Konservasi Sumberdaya Ikan. Lembaran Negara RI Tahun 2007 No. 134. Sekretariat Negara. Jakarta. Rönnbäck P. 1999. The Ecological Basis for Economic Value of Seafood Production Supported by Mangrove Ecosystems. Elsevier. Jurnal Ecological Economics 29 : 235-252. Sara La. 2010. Study on the size structure and population paramaters of mud crab Scylla serrata in Lawele Bay, Southeast Sulawesi, Indonesia. Journal of Coastal Development 13:133-147 Sargent RG. 1998. Verification and Validation of Simulation Models. Proceeding of 1998 Winter Simulation Conference , p. 121-130. Sasekumar A, JJ Loi . 1983. Litter production in three mangrove forest zones in the Malay Peninsula. Aquatic Botany 17: 283-290. SEAFDEC-AQD. 2000. Mangroves and Community Aquaculture. Aquaculture Department Southeast Asian Fisheries Development Center . Tigbauan. Philipina. Senge PM. 1995. Fifth Discipline : The Art and Practice of The Learning Organization . Terjemahan. Jakarta : Binarupa Aksara. Sevilla CG, JA Ochave, TG Punsalan, BP Regala, GG Uriarte. 1993. Pengantar Metode Penelitian . Terjemahan. Jakarta: Penerbit Universitas Indonesia. Siahainenia L. 2008. Bioekologi kepiting bakau Scylla spp di ekosistem mangrove Kabupaten Subang Jawa Barat. [Disertasi]. Sekolah Pascasarjana IPB. Bogor. [SIMPATIK] Sistem Informasi Perhitungan Statistik Kelautan dan Perikanan. 2006. http:www.dkp.go.id Snedaker SC, Getter CD. 1985. Coastal resources management guidelines. research planning Institute , Inc. Colombia, Melbourne, Sydney. 334 p. Soeroyo. 2003. Pengamatan gugur serasah di hutan mangrove Sembilang Sumatra Selatan. P3O-LIPI: 38-44 Sowerbys. 1996. Book of Shells. Crown Publisher, Inc. New York. Sparre P, SC Venema. 1999. Introduksi Pengkajian Stok Ikan Tropis. Organisasi Pangan dan Pertanian FAO, PBB. Edisi Bahasa Indonesia: Puslitbangkan. Indonesia. Sterman JD. 2000. Business Dynamics : System Thinking and Modeling for a Complex World . Boston : Irwin McGraw-Hill. Sudiarta IK. 1988. Studi Kelimpahan dan Penyebaran Burayak Kepiting Bakau Scylla serrata di Perairan Teluk Hurun Lampung. Karya Ilmiah. Fakultas Perikanan Institut Pertanian Bogor. Sukardi L. 2009. Desain model pemberdayaan masyarakat lokal dalam pengelolaan hutan berkelanjutan kasus masyarakat sekitar kawasan hutan Taman Nasional Gunung Rinjani Pulau Lombok. [Disertasi]. Sekolah Pascasarjana IPB. Bogor. Sumich JL. 1979. An Introduction to The Biology of Marine Life. WM C Brown Company Publisher. USA. Sushil. 1993. System Dynamics : A Practical Approach for Managerial Problems. New Delhi : Willey Eastern Ltd. Susila WR. 1991. Verifikasi dan Validasi Model. Forum Statistik, Maret-Juni 1991, hal: 22-26. Suwignyo, Sugiarti, B Widigdo, Y Wardiatno, M Krisanti. 2005. Avertebrata Air jilid 1 dan 2 . Jakarta: Penebar Swadaya Thia-Eng C. 2006. Essential Elements of Integrated Coastal Zone Management. Ocean Coastal Management. Elsevier Science Publishers Ltd, England Printed in Northern Ireland. Trin˜o AT, EM Rodriguez. 2002. Pen culture of mud crab Scylla serrata in tidal flats reforested with mangrove trees. Elsevier, Journal Aquaculture 211:125– 134. [TNK] Taman Nasional Kutai. 2005. Data Dasar Taman Nasional Kutai. Balai Taman Nasional Kutai. Bontang, Kalimantan Timur. [UNEPGPA]. 2006. Ecosystem-based management: Markers for assessing progress . United Nations Environment Programme UNEP, Global Programme of Action for the Protection of the Marine Environment from Land-based Activities GPA. The Hague. [Unmul] Universitas Mulawarman. 2002. Survei Potensi Kawasan Pesisir Kabupaten Kutai Timur, Laporan Penelitian . Universitas Mulawarman Unmul dan Bappeda Kabupaten Kutai Timur. Sangatta Van der Lee GEM., DT Van der Molen, HFP Van den Boogaard, H Van der Klis. 2006. Uncertainty analysis of a spatial habitat suitability model and implications for ecological management of water bodies. Landscape Ecology 21 :1019–1032 Walpole RE. 1990. Pengantar Statistika. Edisi ke-3. B. Sumantri, penerjemah; Jakarta: Penerbit Gramedia Pustaka Utama. 488 hlm. Walton ME, L Le Vay, LM Truong, VNg Ut. 2006. Significance of mangrove– mudflat boundaries as nursery grounds for the mud crab, Scylla paramamosain. Marine Biology 149: 1199–1207 Watters G, AJ Hobday. 1998. A new method for estimating the morphometric size at maturity of crabs. Journal Fisheries Aquaculture Science 553: 704-714. Webley, J.A.C., R.M. Connolly and R.A. Young 2009. Habitat selectivity of megalopae and juvenile mud crabs Scylla serrata: implications for recruitment mechanism. Marine Biology 156: 891-899. Warner GF. 1977. The biologi of carbs. Eleck Science, London. Webley JAC, MC Rod, RA Young. 2009. Habitat selectivity of megalopae and juvenile mud crabs Scylla serrata: implications for recruitment mechanism. Marine Biology 156: 891-899 Wei Say WC, AMhd Ikhwanuddin. 1999. Pen Culture of Mud Crabs, Genus Scylla in the Mangrove Ecosystems of Sarawak, East Malaysia. Australian Centre for International Agricultural Research ACIAR Proceedings No. 78. Mud Crab Aquaculture and Biology. Proceedings of an International Scientific Forum held in Darwin, Australia, 21–24 April 1997. Canberra. Australia. Wolowicks K. 2005. The Fishprint of Aquaculture, Can the blue revolution be sustainable ? Redefining Progress. Oakland, California. Yanuar Y. 2008. Optimasi Kegiatan Nelayan melalui Pengembangan Mata Pencaharian Alternatif sebagai Instrumen Pendukung Keberlanjutan Taman Nasional Karimunjawa. Tesis. Sekolah Pascasarjana Institut Pertanian Bogor. Yulianda F. 2006. Prinsip Dasar Pengelolaan Konservasi. Bahan Kuliah Sekolah Pascasarjana. Institut Pertanian Bogor. Zamani NP, JL Gaol, H Madduppa, RE Arhatin, KS Putra, M Khazali, K Anwar, L Zulkah. 2007. Profil sumberdaya pesisir dan pulau-pulau kecil di Kepulauan Togean . CII, BTNKT, TKL IPB dan Pemda Kabupaten Tojo Una-Una. 215 hlm. Zamroni Y, IS Rohyani. 2008. Produksi Serasah Hutan Mangrove di Perairan Pantai Teluk Sepi, Lombok Barat. Jurnal Biodiversitas 9: 284-287 Ziegelmeier E. 1972. Bottom Living Animals Macrobenthos. Dalam; Research Methods in Marine Biology. Sidgwick Jackson. London; pp 104-141. LAMPIRAN 1 DISTRIBUSI KELOMPOK UKURAN Scylla serrata JANTAN MUARA SANGKIMA Nov 2008 Des 2008 Mar 2009 Mei 2009 Apr 2009 Feb 2009 Jan 2009 Jun 2009 LAMPIRAN 2 DISTRIBUSI KELOMPOK UKURAN Scylla serrata BETINA MUARA SANGKIMA Nov 2008 Des 2008 Jan 2009 Feb 2009 Mar 2009 Apr 2009 Mei 2009 LAMPIRAN 3 DISTRIBUSI KELOMPOK UKURAN Scylla serrata JANTAN MUARA SANGATTA Okt 2008 Nov 2008 Des 2008 Mar 2009 Mei 2009 Apr 2009 Feb 2009 Jan 2009 Jun 2009 LAMPIRAN 4 DISTRIBUSI KELOMPOK UKURAN Scylla serrata BETINA MUARA SANGATTA Jun 2009 Apr 2009 Okt 2008 Jan 2009 Feb 2009 Mar 2009 Mei 2009 Des 2008 LAMPIRAN 5 DISTRIBUSI KELOMPOK UKURAN Scylla serrata JANTAN TELUK PERANCIS Okt 2008 Des 2008 Feb 2009 Apr 2009 Mei 2009 Jan 2009 Jun 2009 LAMPIRAN 6 DISTRIBUSI KELOMPOK UKURAN Scylla serrata BETINA TELUK PERANCIS Feb 2009 Mar 2009 Jun 2009 Jan 2009 LAMPIRAN 7 HUBUNGAN PANJANG BOBOT Scylla serrata MUARA SANGATTA A. JANTAN

B. BETINA

y = 0.001x 3.038 R² = 0.886 200 400 600 800 1000 1200 20 40 60 80 100 120 140 160 Bobot gr a m Panjang mm y = 0.004x 2.328 R² = 0.876 100 200 300 400 500 600 700 800 50 100 150 200 Bo bot gram Panjang mm LAMPIRAN 8 HUBUNGAN PANJANG BOBOT Scylla serrata TELUK PERANCIS A. JANTAN

B. BETINA

y = 6E‐05x 3.323 R² = 0.924 200 400 600 800 1000 1200 50 100 150 200 bo b o t gram Panjang mm y = 0.001x 2.680 R² = 0.886 100 200 300 400 500 600 700 20 40 60 80 100 120 140 160 Bobot gram Panjang mm LAMPIRAN 9 HUBUNGAN PANJANG BOBOT Scylla serrata MUARA SANGKIMA A. JANTAN

B. BETINA

y = 4E‐05x 3.393 R² = 0.917 100 200 300 400 500 600 700 800 900 1000 20 40 60 80 100 120 140 160 Bo bot gr a m Panjang mm y = 0.001x 2.609 R² = 0.913 100 200 300 400 500 600 20 40 60 80 100 120 140 160 Bobot gram Panjang mm LAMPIRAN 10 HUBUNGAN PANJANG BOBOT Scylla serrata BUDIDAYA SYLVOFISHERY

A. JANTAN

B. BETINA y = 0.002x 2.409 R² = 0.577 50 100 150 200 250 300 20 40 60 80 100 120 Bo bot gram Panjang mm y = 0.002x 2.422 R² = 0.674 50 100 150 200 250 20 40 60 80 100 120 Bobot gram Panjang mm LAMPIRAN 11 ANALISIS LAJU MORTALITAS DAN LAJU EKSPLOITASI Scylla serrata JANTAN MUARA SANGATTA i. MORTALITAS TOTAL ii. MORTALITAS ALAMI iii. EKSPLOITASI YR VERSUS BR LAMPIRAN 12 ANALISIS LAJU MORTALITAS DAN LAJU EKSPLOITASI Scylla serrata BETINA MUARA SANGATTA i. MORTALITAS TOTAL ii. MORTALITAS ALAMI iii. EKSPLOITASI YR VERSUS BR LAMPIRAN 13 ANALISIS LAJU MORTALITAS DAN LAJU EKSPLOITASI Scylla serrata JANTAN TELUK PERANCIS i. MORTALITAS TOTAL ii. MORTALITAS ALAMI iii. EKSPLOITASI YR VERSUS BR LAMPIRAN 14 ANALISIS LAJU MORTALITAS DAN LAJU EKSPLOITASI Scylla serrata BETINA TELUK PERANCIS i. MORTALITAS TOTAL ii. MORTALITAS ALAMI iii. EKSPLOITASI YR VERSUS BR LAMPIRAN 15 ANALISIS LAJU MORTALITAS DAN LAJU EKSPLOITASI Scylla serrata JANTAN MUARA SANGKIMA i. MORTALITAS TOTAL ii. MORTALITAS ALAMI iii. EKSPLOITASI YR VERSUS BR LAMPIRAN 16 ANALISIS LAJU MORTALITAS DAN LAJU EKSPLOITASI Scylla serrata BETINA MUARA SANGKIMA i. MORTALITAS TOTAL ii. MORTALITAS ALAMI iii. EKSPLOITASI YR VERSUS BR LAMPIRAN 17 PARAMETER PERTUMBUHAN PADA BUDIDAYA SYLVOFISHERY KEPITING BETINA KEPITING JANTAN LAMPIRAN 18 ASUMSI-ASUMSI UNTUK HSI Variabel Asumsi dan Referensi oksigen terlarut DO V 1 DO lebih 4 ppm BOD V2 salinitas air V3, salinity range from 2-38 ppt Hill, 1974; salinity range of 15-30 ppt Cholik 1991; salinity range of 10-25 ppt is considered optimal for growth Cholik 1991; At low salinity 10 ppt - At high salinity 40 ppt Chen and Chia, 1996a. It is distributed over a wide range of salinity, from 2 ppt. to oceanic waters. They are essentially euryhaline, but die beyond 70 ppt Md Giasuddin Khan and Md Fokhrul Alam. S. serrata larvae tolerate a broad range of salinity and temperature conditions. Rearing temperature 25-30 °C and salinity 20-35 g L -1 generally result in reasonable survival. However, from an aquaculture point of view, a higher temperature range of 28-30 °C and a salinity range of 20-30 g L -1 are recommended as it shortens the culture cycle Nurdiani and Zeng 2007. temperatur air V4 temperature 28-33°C Cholik 1991; Feeding activity and growth ceases in winter, when temperatures drop below 20°C Heasman 1980, Kuntinyo et al. 1994, berpendapat bahwa suhu yang baik untuk budidaya kepiting bakau berkisar antara 26-32°C, jika suhu air 20°C atau kurang, kepiting bakau tidak tumbuh. pH air V5 penelitian Sudiarta 1988, dikatakan bahwa kisaran pH antara 7.9-8.3 dapat mendukung kehidupan kepiting bakau yang dipelihara. pH substrat V6 Wahyuni dan Ismail 1987, menyatakan bahwa kepiting bakau dapat hidup pada kondisi perairan asam yaitu pada daerah bersubstrat lumpur dengan pH rata-rata 6.16 dan pada perairan dengan pH rata-rata 6.5. Pasut air laut V7 Wahyuni dan Ismail 1987, mendapatkan kepiting bakau pada kedalaman 30 – 79 cm di perairan dekat hutan mangrove dan 30 – 125 cm di muara sungai. fraksi substrat V8 kepiting bakau bersembunyi dalam lumpur untuk mempertahankan diri agar tetap dingin selama air surut dan melindungi diri dari predator Motoh 1979 kepadatan makrozoobenthos V9 Makanan alami kepiting bakau mengandung 50 moluska dan 21 krustasea, terutama grapsid crab. Opnai 1986, menyatakan isi lambung kepiting bakau di perairan hutan mangrove Purari dan Aird Deltas Papua New Guinea, 89 berisi bivalva, gastropoda dan moluska lainnya, serta 11 sisanya terdiri dari krustasea yang sulit diidentifikasikan. Sedangkan Gunarto et al. 1987 menyatakan bahwa 90 isi lambung kepiting bakau terdiri dari jenis-jenis alga Spirogyra sp, dan Chara sp, larva insekta dan benih tiram. jenis vegetasi V 10 Hasil penelitian menunjukkan bahwa kedua metode memberikan perkiraan serupa preferensi. daun R. mangle lebih dipilih daripada A.germinans dan L. racemosa. Persen daridaun R. mangle dengan kerusakan adalah sekitar 20-30 kali lebih besar daripada spesies lain, dan stomata daun R. mangle 3-20 kali lebih berlimpah di lambung kepiting dibandingkan dengan stomata daun dari spesies lainnya Herbivore feeding preferences as measured by leaf damage and stomatal ingestion: a mangrove crab example. Authors: Erickson, Amy A. aericksochuma.cas.usf.edu ; Saltis, Mark 1 Bell, Susan S. 1 ; Dawes, Clinton J. 1 Source: Journal of Experimental Marine Biology Ecology; Apr2003, Vol. 289 Issue 1, p123, 16p kerapatan vegetasi V 11 Sihainenia 2008, produksi serasah V 12 Hasil penelitian McCann 1996 dalam Arifin 2006 menyatakan bahwa 50 materi yang diidentifikasi pada pencernaan kepiting adalah moluska, 20-22 adalah crustasea, dan sisanya 28-30 terdiri atas sejumlah kecil tanaman dan serasah. LAMPIRAN 19 SKOR SUITABILITY INDEX UNTUK HSI 0.00 0.20 0.40 0.60 0.80 1.00 1.20 0.0 5.0 10.0 15.0 20.0 25.0 30.0 35.0 35 S ui tabili ty Index Salinitas ppm 0.00 0.20 0.40 0.60 0.80 1.00 1.20 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6 Suit a b il it y Index DO mgL 0.10 1.00 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 Su it ab il it y In de x pH 0.2 0.4 0.6 0.8 1 1.2 5 10 15 20 25 30 35 36 Suit abil ity Index Temperatur Air °C Suitability Index Suitability Index 0.2 0.4 0.6 0.8 1 1.2 Avi ce n 0.2 0.4 0.6 0.8 1 1.2 1 ‐10 n nia Aegicer a 11 ‐50 51 ‐60 61 ‐100 101 150 a s Rhi zopho ra 101 ‐150 151 ‐200 201 ‐250 251 ‐300 Ke ra a Br uguier a Je n is Vegeta s 300 ‐400 401 ‐450 451 ‐500 501 ‐550 pat a n Ve g e ta s Cerio p s H si 501 ‐550 551 ‐600 601 ‐650 651 ‐700 si indha H ib is cu s N 701 ‐750 751 ‐800 801 ‐850 851 ‐900 257 N ypa 901 ‐950 951 ‐1000 1000 0.2 0.4 0.6 0.8 1 1.2 Suit a b il it y Index Ketinggian Pasut cm 0.2 0.4 0.6 0.8 1 1.2 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 0.95 1 ‐2 3 ‐4 5 6 7 8 9 10 11 12 13 14 15 Suita b ili ty Index Produksi Serasah tonhath LAMPIRAN 20 HASIL ANALISIS PCA JULI STASIUN pHa SALa DOa BODa TEMPa CODa TEKs VEG BENTH SCYL A-1 6.900 16.000 6.300 3.100 28.000 20.200 3.000 1113.000 20.750 0.025 A-2 6.100 16.000 5.100 5.600 29.000 26.300 3.000 1113.000 20.750 0.025 A-3 6.100 16.000 4.400 5.200 28.000 21.400 1.000 1113.000 20.750 0.025 B-1 7.900 33.000 6.400 3.300 26.000 23.400 1.000 800.000 24.000 0.010 B-2 5.200 34.000 5.900 2.400 28.000 21.800 1.000 800.000 24.000 0.010 B-3 7.100 33.000 5.100 2.300 27.000 20.900 1.000 800.000 24.000 0.010 C-1 7.600 28.000 6.200 2.800 25.000 19.300 1.000 1250.000 20.000 0.015 C-2 7.200 19.000 5.600 2.600 26.000 18.300 1.000 1250.000 20.000 0.015 C-3 7.100 34.000 4.200 4.200 26.000 24.700 2.000 1250.000 20.000 0.015 XLSTAT - Correlations and Principal Components Analysis Started on 25062010 at 6:59:18 PM Correlation coefficient type : Classical Data range : Workbook = PCA_HABITAT.xls Sheet = PCA JULI FIX 3 Range = A1:K10 Correlations matrix : pHa SALa DOa BODa TEMPa CODa TEKs VEG BENTH SCYL pHa 1 0.1947 0.2841 -0.2694 -0.7809 -0.2328 -0.1506 0.1981 - 0.1423 -0.2677 SALa 0.1947 1 0.0692 -0.5076 -0.4899 0.1293 -0.4880 -0.4990 0.5872 -0.8944 DOa 0.2841 0.0692 1 -0.5847 -0.2086 -0.3985 -0.0579 -0.2822 0.2955 -0.2549 BODa -0.2694 -0.5076 -0.5847 1 0.4795 0.6782 0.4757 0.3376 - 0.4140 0.7193 TEMPa -0.7809 -0.4899 -0.2086 0.4795 1 0.4029 0.5357 -0.2592 0.1539 0.5714 CODa -0.2328 0.1293 -0.3985 0.6782 0.4029 1 0.4749 -0.1547 0.1188 0.1563 TEKs -0.1506 -0.4880 -0.0579 0.4757 0.5357 0.4749 1 0.3053 - 0.3785 0.6786 VEG 0.1981 -0.4990 -0.2822 0.3376 -0.2592 -0.1547 0.3053 1 - 0.9923 0.5274 BENTH -0.1423 0.5872 0.2955 -0.4140 0.1539 0.1188 -0.3785 -0.9923 1 -0.6286 SCYL -0.2677 -0.8944 -0.2549 0.7193 0.5714 0.1563 0.6786 0.5274 - 0.6286 1 261 Eigenvalues and eigenvectors based on the correlations matrix : Eigenvalues 1.0000 2.0000 3.0000 4.0000 5.0000 6.0000 7.0000 8.0000 9.0000 10.0000 Value 4.3418 2.5007 1.4145 0.9772 0.4559 0.2537 0.0557 0.0004 0.0000 0.0000 of variability 0.4342 0.2501 0.1415 0.0977 0.0456 0.0254 0.0056 0.0000 0.0000 0.0000 Cumulative 0.4342 0.6843 0.8257 0.9234 0.9690 0.9944 1.0000 1.0000 1.0000 1.0000 Vectors : 1.0000 2.0000 3.0000 4.0000 5.0000 6.0000 7.0000 8.0000 9.0000 10.0000 pHa -0.1765 0.4090 -0.1929 0.5060 -0.4707 -0.4093 -0.0488 0.3398 0.0097 -0.0366 SALa -0.3778 -0.1490 -0.4003 0.0796 0.3910 0.0510 0.6222 0.3408 - 0.0254 0.0954 DOa -0.2246 0.0877 0.5559 0.4837 0.0055 0.6148 0.0491 0.1320 - 0.0083 0.0313 BODa 0.4029 -0.1202 -0.3075 0.0437 -0.4417 0.3617 0.1475 0.0281 - 0.1580 0.5943 TEMPa 0.2885 -0.4430 0.3036 -0.0812 0.0197 -0.1933 -0.1350 0.7521 - 0.0020 0.0076 CODa 0.1879 -0.3727 -0.4697 0.4071 0.0395 0.2824 -0.2766 -0.0306 0.1361 -0.5120 TEKs 0.3488 -0.0655 0.1128 0.5601 0.4713 -0.3730 0.0227 -0.2651 - 0.0873 0.3286 VEG 0.2703 0.4867 -0.1414 -0.0923 0.3103 0.1863 -0.1411 0.2447 0.6514 0.1627 BENTH -0.3130 -0.4554 0.0989 0.0806 -0.2527 -0.1612 0.0292 -0.2098 0.6893 0.2616 SCYL 0.4496 0.0681 0.2091 0.0271 -0.2148 -0.0638 0.6858 -0.0968 0.2204 -0.4127 262 Correlations between initial variables and principal factors : factor 1 factor 2 factor 3 factor 4 factor 5 factor 6 factor 7 factor 8 factor 9 factor 10 pHa -0.3677 0.6468 -0.2294 0.5002 -0.3178 -0.2062 -0.0115 0.0069 0.0000 0.0000 SALa -0.7872 -0.2357 -0.4761 0.0786 0.2640 0.0257 0.1469 0.0069 0.0000 0.0000 DOa -0.4680 0.1386 0.6611 0.4782 0.0037 0.3097 0.0116 0.0027 0.0000 0.0000 BODa 0.8396 -0.1900 -0.3657 0.0432 -0.2982 0.1822 0.0348 0.0006 0.0000 0.0000 TEMPa 0.6012 -0.7006 0.3611 -0.0803 0.0133 -0.0974 -0.0319 0.0152 0.0000 0.0000 CODa 0.3916 -0.5894 -0.5587 0.4025 0.0266 0.1423 -0.0653 -0.0006 0.0000 0.0000 TEKs 0.7267 -0.1036 0.1342 0.5537 0.3182 -0.1879 0.0054 -0.0053 0.0000 0.0000 VEG 0.5632 0.7696 -0.1681 -0.0913 0.2095 0.0938 -0.0333 0.0049 0.0000 0.0000 BENTH -0.6522 -0.7202 0.1176 0.0797 -0.1706 -0.0812 0.0069 -0.0042 0.0000 0.0000 SCYL 0.9368 0.1076 0.2487 0.0267 -0.1450 -0.0321 0.1619 -0.0020 0.0000 0.0000 Coordinates of observations on principal axes : axis 1 axis 2 axis 3 axis 4 axis 5 axis 6 axis 7 axis 8 axis 9 axis 10 A-1 1.5884 0.6029 2.0960 1.0855 0.3783 -0.5105 0.2343 -0.0161 0.0000 0.0000 A-2 3.6929 -1.4944 -0.1803 0.8743 -0.0029 0.2783 -0.2751 0.0247 0.0000 0.0000 A-3 2.3086 -0.2689 -0.1482 -1.6835 -1.0836 0.0761 0.2398 -0.0090 0.0000 0.0000 B-1 -2.5653 -0.6585 -0.4360 1.5165 -1.0418 0.3488 -0.0352 -0.0196 0.0000 0.0000 B-2 -1.8457 -2.4883 0.8406 -0.9309 0.9455 0.5608 0.0257 -0.0076 0.0000 0.0000 B-3 -2.3205 -1.0843 -0.1895 -0.3297 -0.2209 -1.0401 -0.0214 0.0269 0.0000 0.0000 C-1 -1.2001 2.5605 0.0258 0.1261 0.1502 0.5981 0.2374 0.0323 0.0000 0.0000 C-2 -0.4274 2.2738 0.6287 -0.8343 0.0181 -0.0679 -0.4965 -0.0136 0.0000 0.0000 C-3 0.7691 0.5572 -2.6371 0.1761 0.8571 -0.2436 0.0911 -0.0180 0.0000 0.0000 263 LAMPIRAN 21 HASIL ANALISIS PCA DESEMBER Stasiun pHa SALa Doa BODa TEMPa CODa TEKs VEG BENTH SCYL A-1 7.1 25 6.6 4.6 25 18.2 3 1113 20.75 0.025 A-2 6.7 10 5.4 6.3 25 21.4 3 1113 20.75 0.025 A-3 6.7 5 5.2 6 24 17.5 1 1113 20.75 0.025 B-1 7.2 27 6.5

2.4 26

24 1 800 24 0.010 B-2 7.3 25 6.2 2.9 26 22.3 1 800 24 0.010 B-3 7 24 5.5 2.1 25 22.4 1 800 24 0.010 C-1 7.5 24 5.8 3.3 24 17.2 1 1250 20 0.015 C-2 7.1 13 5.1 3.8 24 16.3 1 1250 20 0.015 C-3 7.1 10 5.3 5.4 24 18.2 1 1250 20 0.015 XLSTAT - Correlations and Principal Components Analysis Started on 25062010 at 7:36:55 PM Correlation coefficient type : Classical Data range : Workbook = PCA_HABITAT.xls Sheet = PCA DES FIX 3 Range = A1:K10 Number of additional rows : 0 Number of additional variables : 0 Number of rows removed before computations : 0 Correlations matrix : pHa SALa Doa BODa TEMPa CODa TEKs VEG BENTH SCYL pHa 1 0.7149 0.4802 -0.6731 0.1482 -0.0200 -0.3895 -0.0472 0.1356 -0.6330 SALa 0.7149 1 0.8153 -0.8355 0.6421 0.4837 -0.0409 -0.5758 0.6090 -0.5620 Doa 0.4802 0.8153 1 -0.4411 0.7280 0.4565 0.2652 -0.4939 0.4763 -0.1657 BODa -0.6731 -0.8355 -0.4411 1 -0.4832 -0.4571 0.4949 0.6242 -0.6962 0.8565 TEMPa 0.1482 0.6421 0.7280 -0.4832 1 0.8873 0.1512 -0.8668 0.8486 -0.3780 CODa -0.0200 0.4837 0.4565 -0.4571 0.8873 1 0.0158 -0.8965 0.8880 -0.4617 TEKs -0.3895 -0.0409 0.2652 0.4949 0.1512 0.0158 1 0.1665 -0.2566 0.7143 VEG -0.0472 -0.5758 -0.4939 0.6242 -0.8668 -0.8965 0.1665 1 -0.9923 0.5274 BENTH 0.1356 0.6090 0.4763 -0.6962 0.8486 0.8880 -0.2566 -0.9923 1 -0.6286 SCYL -0.6330 -0.5620 -0.1657 0.8565 -0.3780 -0.4617 0.7143 0.5274 -0.6286 1 264 Eigenvalues and eigenvectors based on the correlations matrix : Eigenvalues 1.0000 2.0000 3.0000 4.0000 5.0000 6.0000 7.0000 8.0000 9.0000 10.0000 Value 5.7511 2.1890 1.4960 0.2365 0.2239 0.0546 0.0318 0.0171 0.0000 0.0000 of variability 0.5751 0.2189 0.1496 0.0237 0.0224 0.0055 0.0032 0.0017 0.0000 0.0000 Cumulative 0.5751 0.7940 0.9436 0.9673 0.9897 0.9951 0.9983 1.0000 1.0000 1.0000 Vectors : 1.0000 2.0000 3.0000 4.0000 5.0000 6.0000 7.0000 8.0000 9.0000 10.0000 pHa 0.2072 -0.4455 0.4286 0.2540 0.2866 -0.0439 0.5613 0.0848 -0.0871 -0.3107 SALa 0.3550 -0.0707 0.3891 -0.3600 -0.1129 0.2424 0.1644 -0.0550 0.1882 0.6716 Doa 0.2821 0.1856 0.5107 0.4397 -0.3087 0.1964 -0.4617 -0.2033 -0.0562 -0.2005 BODa -0.3574 0.2874 -0.0249 0.5372 0.1835 0.1187 0.3353 -0.4454 0.1016 0.3626 TEMPa 0.3524 0.3247 0.0204 0.2909 0.2089 -0.6317 -0.0667 0.3909 0.0788 0.2814 CODa 0.3329 0.3015 -0.2419 0.0545 0.4781 0.6473 -0.0156 0.2820 -0.0263 -0.0938 TEKs -0.1095 0.5245 0.4015 -0.4835 0.3605 -0.1846 0.0530 -0.2736 -0.0745 -0.2659 VEG -0.3665 -0.2102 0.2615 0.0342 0.3233 0.0650 -0.3445 0.2158 0.6910 -0.0223 BENTH 0.3810 0.1369 -0.2694 -0.0337 -0.2280 -0.0819 0.2612 -0.2798 0.6686 -0.3319 SCYL -0.3118 0.3809 0.2057 0.0162 -0.4664 0.1539 0.3713 0.5639 0.0811 -0.1070 Correlations between initial variables and principal factors : factor 1 factor 2 factor 3 factor 4 factor 5 factor 6 factor 7 factor 8 factor 9 factor 10 pHa 0.4969 -0.6591 0.5242 0.1235 0.1356 -0.0102 0.1000 0.0111 0.0000 0.0000 SALa 0.8514 -0.1046 0.4759 -0.1751 -0.0534 0.0566 0.0293 -0.0072 0.0000 0.0000 Doa 0.6765 0.2746 0.6247 0.2139 -0.1461 0.0459 -0.0823 -0.0266 0.0000 0.0000 BODa -0.8572 0.4252 -0.0305 0.2613 0.0868 0.0277 0.0598 -0.0582 0.0000 0.0000 TEMPa 0.8451 0.4804 0.0250 0.1415 0.0989 -0.1476 -0.0119 0.0511 0.0000 0.0000 CODa 0.7983 0.4462 -0.2959 0.0265 0.2262 0.1512 -0.0028 0.0368 0.0000 0.0000 TEKs -0.2626 0.7761 0.4911 -0.2351 0.1706 -0.0431 0.0095 -0.0357 0.0000 0.0000 VEG -0.8789 -0.3110 0.3199 0.0167 0.1530 0.0152 -0.0614 0.0282 0.0000 0.0000 BENTH 0.9136 0.2025 -0.3295 -0.0164 -0.1079 -0.0191 0.0465 -0.0366 0.0000 0.0000 SCYL -0.7478 0.5636 0.2517 0.0079 -0.2207 0.0360 0.0662 0.0737 0.0000 0.0000 265 Coordinates of observations on principal axes : axis 1 axis 2 axis 3 axis 4 axis 5 axis 6 axis 7 axis 8 axis 9 axis 10 A-1 -0.3551 1.5745 2.5722 -0.1970 -0.4610 -0.0691 -0.0819 -0.1314 0.0000 0.0000 A-2 -2.0015 2.7218 -0.3248 -0.2309 0.7630 0.0314 0.0882 0.1139 0.0000 0.0000 A-3 -2.9335 0.5174 -1.3876 0.4334 -0.9289 0.0728 0.0690 0.0583 0.0000 0.0000 B-1 3.8178 0.4138 -0.1180 0.4251 0.0191 0.1916 -0.3051 0.1312 0.0000 0.0000 B-2 3.3201 0.0486 -0.1775 0.5216 0.0915 -0.3737 0.2656 -0.0402 0.0000 0.0000 B-3 2.4120 -0.1946 -1.4401 -0.9789 -0.1924 0.1580 0.0578 -0.1173 0.0000 0.0000 C-1 -0.4061 -2.2897 1.5647 -0.0796 0.0877 0.2695 0.2130 0.1382 0.0000 0.0000 C-2 -1.8380 -1.7087 -0.2656 -0.4083 0.0747 -0.4291 -0.2134 0.0919 0.0000 0.0000 C-3 -2.0157 -1.0829 -0.4233 0.5147 0.5464 0.1485 -0.0933 -0.2446 0.0000 0.0000 LAMPIRAN 22 MAKROZOOBENTHOS SPESIES MUARA SANGATTA TELUK PRANCIS MUARA SANGKIMA Total ni ind A m² N indm² ni ind A m² N indm² ni ind A m² N indm² KELAS GASTROPODA Potamodidae Telebralia sp 11 4 2.75 2 4 0.5 1 4 0.25 3.5 Potamodidae Telescopium sp 8 4 2 6 4 1.5 2 4 0.5 4 Littoridae 5 4 1.25 15 4 3.75 12 4 3 8 Neritidae 2 4 0.5 4 0 4 4 1 1.5 Cherithidae 1 4 0.25 8 4 2 6 4 1.5 3.75 Trochidae 4 0 3 4 0.75 5 4 1.25 2 Dentaliidae 1 4 0.25 4 0 4 0 0.25 Nassaridae 1 4 0.25 2 4 0.5 2 4 0.5 1.25 Muricidae 1 4 0.25 8 4 2 6 4 1.5 3.75 Olividae 1 4 0.25 4 0 1 4 0.25 0.5 KELAS PELECYPODA Corbiculidae Geloina sp 3 4 0.75 2 4 0.5 6 4 1.5 2.75 Ostreidae 3 4 0.75 16 4 4 3 4 0.75 5.5 Veneridae T philippinarum 2 4 0.5 1 4 0.25 4 0 0.75 Lucinidae 5 4 1.25 4 0 4 4 1 2.25 Arcidae Anadara sp 4 0 1 4 0.25 4 0 0.25 KELAS MALACOSTRACA Ocypodidae Ucha sp 10 4 2.5 7 4 1.75 7 4 1.75 6 Penaidae Penaeus sp 3 4 0.75 2 4 0.5 1 4 0.25 1.5 Grapsidae Sesarma sp 7 4 1.75 6 4 1.5 3 4 0.75 4 Portunidae Thalamita sp 5 4 1.25 2 4 0.5 1 4 0.25 2 Upogebidae Upogebia sp 4 0 1 4 0.25 1 4 0.25 0.5 Paguridae Pagurus sp 12 4 3 9 4 2.25 11 4 2.75 8 KELAS POLYCHAETA Nereis limnicola 2 4 0.5 5 4 1.25 4 4 1 2.75 total 81 20.75 91 24 76 20 LAMPIRAN 23 DATA FISIK KIMIA PERAIRAN STASIUN Ph air SALINITAS AIR DO BOD TEMPERATUR AIR PH SUBSTRAT COD SUBSTRAT TEMPERATUR SUBSTRAT FRAKSI SUBSTRAT JUL DES JUL DES JUL DES JUL DES JUL DES JUL DES JUL DES JUL DES JUL DES MUARA SANGATTA Sub A‐1 6.9

7.1 16

20 1.3

6.2 3.1

4.6 28

25 6.7

6.8 20.2

18.2 27

24 clay clay Sub A‐2 6.1

6.7 10

5.5 5.6

6.3 29

25 5.3 7 26.3

21.4 28

25 clay clay Sub A‐3 6.1

6.7 4.5

5.3 5.2

6 28 24 5.1

6.6 21.4

17.5 27

23 sandy loam sandy loam TELUK PERANCIS Sub B‐1 7.1

7.2 33

27 6.2 6 2.8.

2.4 26

26 6.32

6.7 26.5

24 26 26 sandy loam sandy loam Sub B‐2 6.9

7.3 31

25 5.4

5.2 3.4

2.9 28

26 6.45

6.5 25

22.3 25

24 sandy loam sandy loam Sub B‐3 7 7 29 24 5.1

4.1 3.7

2.1 27

25 5.68

6.3 23.5

22.4 25

24 sandy loam sandy loam MUARA SANGKIMAH Sub C‐1 7.6

7.5 26

10 2.3

5.2 2.8

3.3 25

24 6.32

6.7 19.3

17.2 24

22 sandy loam sandy loam Sub C‐2 7.2

7.1 25

13 2.7

4.4 2.6

3.8 26

24 6.45

6.9 18.3

16.3 25

23 sandy loam sandy loam Sub C‐3 7.1

7.1 19

0.9 4.2

4.2 5.4

26 24

5.68 6.5

24.7 18.2

25 23 sandy loam sandy loam 1 = zona perairan 2 = zona depan mangrove 3 = zona tengah mangrove LAMPIRAN 24 RINCIAN ANGGARAN BIAYA BUDIDAYA SYLVOFISHERY

S. serrata

Rpunitmusim NO KOMPONEN SATUAN JUMLAH HARGA TOTAL A. Biaya 1 Investasi a. Jaring trawl 1,25 Gulung 2 500000 750000 b. Papan kayu Kubik 1 1500000 1500000 c. bambu Batang 20 20000 400000 d. Tali nilon Gulung 1 100000 100000 SUB TOTAL 2750000 2 Biaya TetapPeralatan a. Buburakkang Unit 5 40000 200000 b. Peralatan Panen Unit 1 200000 200000 c. Timbangan Unit 1 100000 100000 SUB TOTAL 500000 3 Biaya Variabelmodal kerja a. benih S. serrata Ekor 500 750 375,000 b. pakan ikan rucah Kg 200 3,000 600,000 c. Upah pemeliharaan Bln 5 200,000 1,000,000 SUB TOTAL 1,975,000 TOTAL BIAYA 5,225,000 B. Manfaat Penjualan Hasil Panen SR 60 Kg 90 35,000 3,150,000