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11 th International Symposium for GIS and Computer Cartography for Coastal Zones ManagementConcluding remarkKOBIS has been operated to provide occurrence information of marine organisms through the internet website,the mobile website and the mobile applications since 2008. In 2012, the smart pad application of KOBIS was developedto connect with the KOBIS DB and the species identification system, and to provide real-time data of theacoustic red-tide detection system. After we had developed the application, it was tested in the marine observationfield and we found it worked properly when wireless data communication was available. We also found it requiredsome improvement and more field tests. KIOST researchers who are trying to use the species identification systemwill take a smart pad device with them when they conduct field observation. During a field survey, some occurrenceinformation will be corrected through the smart pad application. Because only a few survey fields are planned to usethe species identification system in 2013, not much occurrence data is expected to be collected. The real-time monitoringdata service of the application will be operated only during the summer season of this year, since the red-tidedetection system is planned to be operating from the middle of June to the middle of September. Because most occurrenceinformation included in the relevant literature has been collected during a five year project we expect thesmart pad application will contribute to archiving more occurrence data.AcknowledgmentsThis study was supported by the project titled "Development of in-situ diagnostic techniques on the dynamics ofmarine ecosystem structure (PE98933).ReferencesKim, S.D., S.Y. Park, Y.H. Lee, S. Kim, S.H. Baek and H.M. Park (2011), Development of the Mobile GIS Services of KoreaOcean Biogeographic Information System, In: Proceedings of International Symposium for GIS and Computer Mapping forCoastal Management (CoastGIS 2011), Oostende, Belgium: 164–165.Zhang, Y. and J.F. Grassle (2003), "A Portal For The Ocean Biogeographic Information System". Oceanologica Acta, 25(5):193–197.34
Data quality control for the Coral Triangle AtlasAnnick Cros 1 , Ruben Venegas 2 , Shwu Jiau Teoh 3 & Nate Peterson 11 The Nature Conservancy, USAacros@tnc.org, npeterson@tnc.org2 Fundación Keto, Costa Ricarvenegas@fundacionketo.org3WorldFish, Penang, MalaysiaS.Teoh@CGIAR.ORGAbstractThe Coral Triangle Atlas was developed to provide scientists and managers with the best available data on marineresources in the Coral Triangle. Endorsed as an official supporting tool to the Coral Triangle Initiative by the governmentsof the six countries defining the Coral Triangle, the CT Atlas provides the most accurate information possibleto track the success of the conservation efforts of the initiative. Focusing on marine protected areas and habitats,the CT Atlas tested a process to assess the quality, reliability and accuracy of different data layers. Several mainissues were highlighted by the quality control process: errors in reputable datasets, outdated and missing data,metadata gaps and a lack of user instructions to interpret layers. These challenges need to be addressed before thedata is distributed or used for analysis, in particular at the regional level, and may require more time and fundingthan previously estimated.IntroductionThe Coral Triangle defines an area that captures the global center of marine diversity (Allen, 2007; Hoeksema,2007; Veron et al., 2009), and a global priority for conservation (Wallace et al., 2001; Hughes et al., 2002; Robertset al., 2002). It comprises six countries (CT6): the Philippines, Malaysia, Indonesia, Papua New Guinea, TimorLeste and Solomon Islands. It has been a major focus for coral reef conservation efforts since September 2007 whenPresident Yudhoyono of Indonesia first proposed a Coral Triangle Initiative on Coral Reefs, Fisheries and FoodSecurity (CTI) uniting the six governments in a multilateral partnership to conserve the extraordinary marine life ofthe Coral Triangle.With the support of international and local NGOs, as well as government agencies, the Coral Triangle Atlas (CTAtlas) has been developed as a partnership, centralizing and compiling information spread over the six countries.The aim of the CT Atlas is to provide the best available information for scientists and managers to better conserveand track marine resources. Endorsed by the CT6 as an official tool to support their monitoring and evaluation team,the CT Atlas has given priority to layers that inform the CTI’s indicators of success, in particular, the boundaries andstatus of marine protected areas (MPAs), coral reef area and other critical habitats and threats.The data is used for national and regional analysis to track progress against CTI objectives. This requires accurate,reliable data that can be used with confidence at the highest political level. To achieve this, we carefully revieweddata documentation and analyzed datasets for integrity and errors.The mechanism to validate these layers and to successfully provide accurate data to the countries is described inthis paper, demonstrating the value and the challenge of acquiring quality regional data.MethodologyWe selected data layers that track several of the indicators of success for the MPA strategy under the CTI. Theseinclude coral reefs, mangroves, marine protected areas and other related biodiversity layers (e.g. turtle nesting). Wecarried out several types of quality control:1. A verification of metadata.2. A comparative analysis of several sources of key marine habitats and Marine Protected Areas.3. A usability check for management. For example, does the resolution match the unit of management?35
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