Plankton Biomass Models Based on GIS and Remote Sensing Technique for Predicting Marine Megafauna Hotspots in the Solor Waters. [ Presented at 2nd International Conference of Indonesian Society for Remote Sensing (ICOIRS) 2016].
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Geographic information system and remote sensing techniques can be used to assist with distribution modelling; a useful tool that helps with strategic design and management plans for MPAs. This study built a pilot model of plankton biomass and distribution in the waters off Solor and Lembata, and is the first study to identify marine megafauna foraging areas in the region. Forty-three samples of zooplankton were collected every 4 km according to the range time and station of aqua MODIS. Generalized additive model (GAM) we used to modelling zooplankton biomass response from environmental properties.Thirty one samples were used to build a model of inverse distance weighting (IDW) (cell size 0.01°) and 12 samples were used as a control to verify the models accuracy. Furthermore, Getis-Ord Gi was used to identify the significance of the hotspot and cold-spot for foraging area. The GAM models was explain 88.1% response of zooplankton biomass and percent to full moon, phytopankton biomassbei.....
JournalIOP Conference Series: Earth and Environmental Science
Essential Ocean Variables (EOV)Zooplankton biomass and diversity
Best Practice TypeGuide
CitationPutra, M.I.H; Lewis, S.A.; Kurniasih, E.M.; Prabuning, D.; Faiqoh, E. (2016) Plankton Biomass Models Based on GIS and Remote Sensing Technique for Predicting Marine Megafauna Hotspots in the Solor Waters. IOP Conference Series: Earth Environmental Sciences, 47(1), 012015, 20pp. DOI: 10.1088/1755-1315/47/1/012015
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