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IDENTIFICATION OF CONSERVATION PRIORITY LOCATION IN INDONESIA BASED ON LAND-SEA CONNECTIVITY Christian Novia N Handayani; Estradivar; Dirga Daniel; Oki Hadian; Khairil Fahmi Faisal; Dicky Sucipto; Puteri Maulida
COJ (Coastal and Ocean Journal) Vol. 1 No. 2 (2017): COJ (Coastal and Ocean Journal)
Publisher : Pusat Kajian Sumberdaya Pesisir dan Lautan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1609.59 KB) | DOI: 10.29244/COJ.1.2.13-26

Abstract

The environment quality around those rivers and canals will affect the health of the coastal ecosystem and biota living in it. Empirically, there is an ecological connection between ecosystem in coastal areas and between coastal areas to the mainland and the high seas. Therefore, marine spatial planning should consider any change on landscape upstream. The aim of this study was to define new locations which have high conservation value based on connectivity between terrestrial and marine. The method used in this study was spatial analysis using systematic conservation planning approach with Marxan as the decision support tool. Marxan works based on scenarios developed by spatial planner. This study was using two primary scenarios: first, consider the existing protected areas; second did not consider the existing protected areas (PAs) to identify the gaps between new priority locations and the existing PAs. The data used in this study were basic spatial data, ecological data, and biodiversity data from various sources. The study area were all islands of Indonesia, devided into seven clusters. Based on those two scenarios, the result of the study shows that there are 108 locations in Indonesia which identified as areas which have high conservation value and also hold potential land-sea connection at once, inside and outside existing protected areas. Based on this study, if in the future the stakeholder have plans to do intervention in those areas primary in conservation field, those identified locations could be considered as new areas. Keywords Spatial analysis, Marxan, Conservation, Connectivity, Land-sea
DETERMINING ZONES OF NINE MARINE PROTECTED AREA IN SULAWESI TENGGARA PROVINCE Desita Anggraeni; Christian N. N. Handayani; Dirga Daniel; Agus Wahyudi; Tarlan Subarno; Zulfikar Afandy; Dyah R D Darmawan; Fikri Firmansyah; Estradivar
COJ (Coastal and Ocean Journal) Vol. 1 No. 2 (2017): COJ (Coastal and Ocean Journal)
Publisher : Pusat Kajian Sumberdaya Pesisir dan Lautan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1871.92 KB) | DOI: 10.29244/COJ.1.2.53-62

Abstract

Southeast Sulawesi Province is part of Sunda Banda Seascape and occupies the area of Coral Triangle that has high biodiversity. One of the way to protect areas of high ecological value is by establishing a Marine Protected Area (MPA). According to Goverment Regulation No. 60/2007 section 17. The purpose of this study is to find potential areas to be recommended as core zones, utilization zones and sustainable fisheries zones or other zones. Marxan analysis is a tool used to identify potential sites for the placement of core zones and utilization zones. The target of conserving this location is to protect the habitat of coral reefs, seagrass and mangrove. The proportions of targets used in the Marxan scenario for all three habitats are 30%, 40% and 50%. Result of nine MPAs zonation analysis in Southeast Sulawesi recommendations such as: core zone of MPA Muna Barat is 8% and 13% and utilization zone is 12%; Core zone in MPA Bombana is 8.6% and 5.7% meanwhile the utilization zone of 4.6% and 7.5%; Core zone in MPA Kolaka is Kolaka 10% and 6% moreover utilization zone 7%; Core zone of MPA Central Buton is 3% and 2% while utilization zone 9%; Core zone of MPA South Buton while utilization zone of 6.4% and 6.2%; Core zone of MPA Muna is 10% and 7% besides, utilization zone 8,5% and 23%; Core zone MPA North Kolaka is 4% and 7% while utilization zone is 4% and 49%; core zone MPA Buton is 2.5% and 3% while the utilization zones are 2.5% and 2.6%. Keywords Sunda Banda Seascape, Marxan, coral triangle
RELATIONSHIP BETWEEN THE WAKATOBI NATIONAL PARK ZONATION SYSTEM AND DYNAMICS OF CORAL REEF ECOSYSTEM CONDITION Fikri Firmansyah; Adib Mustofa; Estradivar; Adrian Damora; Christian Novia N Handayani; Jill Harris; Gabby Ahmadia; Amkietiela; Klaas J. Teule; Sugiyanta; Veda Santiadji; Anton Wijonarno; Muhammad Yusuf
COJ (Coastal and Ocean Journal) Vol. 1 No. 2 (2017): COJ (Coastal and Ocean Journal)
Publisher : Pusat Kajian Sumberdaya Pesisir dan Lautan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1251.496 KB) | DOI: 10.29244/COJ.1.2.147-156

Abstract

The zonation can be evaluated by observing changes in ecosystem and social status in Wakatobi National Park (Taman Nasional Wakatobi – TNW). Coral reef ecosystem is one of the parameters indicating the effectiveness of zonation system. This study grouped TNW zones into No Take Zone (NTZ – area larang ambil; ZI, ZPB, ZPr) and use zone (UZ – area pemanfaatan; ZPL, ZPU) to determine impact of zonation implementation between 2009 – 2016 on coral reef ecosystem. Three parameters (benthic coverage, fish abundance and fish biomass) were determined by Point Intercept Transect (PIT) and underwater visual census (UVC) methods and all of these data were tested using two-way ANOVA. Hard coral coverage fluctuated between 19 – 32% however, NTZ and UZ had no significant hard coral cover differences (F=2,182, df=1, P=0,14). Abundance of carnivour fish (F=0,53, df=1, P=0,46) and herbivour fish (F=1,98, df=1, P=0,17) were similar between those two zones. Fish bombing and poisoning were two major threats until 2007. However, sand mining and waste management has overcome two previous major threats by 2017. Zonation system and its implementation can be one of mangement effectiveness indicators. Support Wakatobi National Park Authority, it is recommended to apply harvest control rules (HCR), regular patrol and monitoring and stakeholders capacity buiding. Keywords Benthic cover; fish abundance; fish biomass
Co-Authors adib Mustofa Adrian Damora Agus Wahyudi Amkietiela Anton Wijonarno Christian N. N. Handayani Christian Novia N Handayani Desita Anggraeni Dicky Sucipto Dirga Daniel Dyah R D Darmawan Fikri Firmansyah Gabby Ahmadia Jill Harris Khairil Fahmi Faisal Klaas J. Teule Muhammad Yusuf Oki Hadian Puteri Maulida Sugiyanta Tarlan Subarno Veda Santiadji Zulfikar Afandy