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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
SPATIAL ANALYSIS IDENTIFICATION OF IDEAL AREAS CONSERVATION LOCATION IN TUAL CITY, MALUKU PROVINCE Taufik Abdillah; Christian Novia N. Handayani; Dirga Daniel
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 (1145.46 KB) | DOI: 10.29244/COJ.1.2.127-134

Abstract

Tual City is the one of eleven districts / cities in Maluku Province. The city includes an archipelago town, has 66 islands divided into 3 island clusters, covering the cluster of Kur islands, Tayando Tam and Dullah. The sea area reaches 19,088 Km2, while the land area is 254.39 km2. The size of the sea in this area indicates the high utilization potential of both fisheries and tourism sector. Based on these, needed resources management the coastal and marine resources effectively, one of them by developing conservation area in coastal area and small islands. Tual City took the initiative to allocate part of its area to be reserved as a marine conservation area. The target of the formation of urban water conservation area Tual is the protection of important marine habitats consisting of coral reefs, seagrass and mangrove, sea turtle nesting beaches and connectivity larvae. This study was conducted to obtain potential locations of marine conservation areas that have high conservation value. Analysis of spatial data using Marxan analysis. This analysis was chosen because it provides the best solution for determining locations that have high conservation value. The results of the study indicate that the area of selected high frequency locations is 125,000 hectares, while 40,000 hectares and 64,000 hectares low. Selected high-frequency locations are in the cluster of Kur islands, Tayando Tam and in the waters north of Mas Island and Bair. Based on this study, the cluster of Kur and Tayando Tam islands become the recommended sites requiring the management of marine conservation areas as they are representative of all conservation targets. Keywords Marine Protected Area, Marxan, and Tual City
MARINE PROTECTED AREA NETWORK DESIGN: CASE STUDY OF MALUKU PROVINCE Estradivar; Christian Novia N Handayani; Dirga Daniel; adib Mustofa
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 (1509.472 KB) | DOI: 10.29244/COJ.1.2.135-146

Abstract

Since 2014, the Ministry of Marine Affairs and Fisheries has started to initate the development of MPA Network in several provinces in Indonesia. The objective of this study is to provide scientific recommendations to the government and stakeholders on MPA Network design that maximizes the ecological functions, protects critical marine habitats and maintains fisheries stocks. Multi-stages spatial analysis and larva connectivity modelling using the best available data in a provincial level were applied. Until December 2015, Maluku Province had seven MPAs with a total of 288,414 ha. Based on spatial analysis, those MPAs had good Replication of critical habitats, but low Representation of critical habitats (3,8% from 20% of ideal representation percentage) that were protected within MPAs. Besides that, only five out of seven MPAs that were connected, i.e. the distance between MPAs is less than 100 km, meanwhile the other two MPAs were isolated from other MPAs. Maluku Province also had several nodes of strong larva connectivity values. This study demonstates the potential to develop an MPA Network in Maluku Province under these several considerations: (1) build new MPAs in several locations such as Buru Island, Maluku Barat Daya, Aru Islands, etc. (2) enlarge the existing MPAs, especially the small size MPAs, and (3) strengthen the roles and functions of management bodies in each MPA and promote an integrated management plan development with all MPA management bodies. Keywords MPA Network, Maluku Province, 3K (Representation, Replication and Connectivity), Larva Connectivity