Aplikasi Sistem Informasi Geografis untuk Kajian Perencanaan Rehabilitasi Hutan Mangrove di Kecamatan Punduh Pedada, Lampung

Mangrove forests are one of the coastal ecosystems that are under pressure due to antrophogenic activities, including land conversions to fishponds or aquaculture. On the other hand, the needs for seafood products from these aquaculture activities tend to increase annually. These situations become paradoxes that are often encountered within aquaculture management in Indonesia. Punduh Pidada Subdistrict is one of the areas in Pesawaran Regency, Lampung, that severely suffered from mangrove forest conversion into fishponds. The purposes of this study were to identify the trends in mangrove cover changes over 30 years and to design a mangrove rehabilitation plan in Punduh Pidada Subdistrict. This study used a time-series data of Landsat satellite imagery over 30 years, from 1989 to 2019. The results showed a significant decrease in the mangrove cover areas over 30 years at 83.34 Ha with an average mangrove cover losses at 30.5%. Three zones that are suitable for mangrove rehabilitation plan was then choosen based on the levels of mangrove loss areas, namely first priority rehabilitation plan covering zone 1 (1.7 Ha) and zone 2 (1.5 ha) and the second priority rehabilitation plan covering zone 3 (7.5 Ha).  With a planting distance of 1 x 2 meter, the total of seeds needed for the rehabilitation planning are 8,500 seeds for zone 1, 7,500 seeds for zone 2, and 27,500 seeds for zone 3

BIRD DISTRIBUTION IN ITERA CAMPUS AREA BASED ON VALUE CHANGES IN NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI)

Land-use change from a rubber plantation into the ITERA campus area causes an ecological transition. The components of ecology affected are vegetation and wildlife (bird). Geographic information systems can be used to assess the condition of vegetation and its relation to the ecological component. This study analyses bird diversity, vegetation condition through the NDVI value distribution, and then analyses the bird distribution based on vegetation condition. Observation in transect is the method for collecting bird distribution data. Analyses of vegetation condition was carried out based on NDVI. Analyses of bird distribution based on vegetation condition was carried out spatially by overlaying thematic maps of vegetation with bird distribution. This research found 28 bird species belonging to 18 families with diversity index (H’) 1.84. The highest abundance species were Lonchura punctulata, Passer montanus, and Hirundo tahitica. The NDVI values ranged from -0.64-0.87. ITERA vegetation conditions are divided into five classes: very rare vegetation (VRV), rare vegetation (RV), m vegetation (MV), dense vegetation class (DVC), and very dense vegetation (VDV). Total encounters with birds in this study were 753. The distribution of birds to the vegetation conditions in ITERA has a higher tendency and diverse vegetation have implications of birds to use the vegetation. In the VRV class, there were 4 encounters, RV 37, MV 157, DVC 235, and VDV 315. Also, the number of bird species tends to increase along with the increasing vegetation value. Lonchura punctulata is a bird with the highest abundance in each vegetation class, followed by Passer montanus and Pycnonotus aurigaster.  Key words: bird distribution, ITERA, land-use change, vegetation conditio

Penggunaan Data Citra Landsat Multitemporal untuk Monitoring Kondisi Ekosistem Mangrove di Teluk Kulisusu Kabupaten Buton Utara

Scientific information  mangrove ecosystem at Kulisusu bay was limited. This study aims to identify mangrove ecosystems area change at Kulisusu bay within 20 years periods (1995-2015) using satellite imagery Landsat 5 TM (1995), Landsat 7 ETM (2005) and Landsat 8 OLI (2015). Analysis of the mangrove ecosystem changes was used NDVI algorithm then carried classification canopy density by three classes, high, medium and low density.The changes of mangrove ecosystems were based on the area changes of each 10 year. The NDVI results shown that on 1995 to 2005, high and medium classes were reduced respectively by 340 ha and 36 ha, low class area was 172 ha. The period within 2005 to 2015 shows that high areas were reduced by 756 hectares, then medium and low density class 22 Ha and 680 ha respectively. Conditions mangrove ecosystem during 30 years was from 1995 to 2015 shown that had been a heavy reduction in the high density class about 1096 hectares, a reduction of medium density class was 14 hectares and low class was 852 Ha. The amount of reduction in high density class was caused by the mangrove logging activities for charcoal used as raw materials, and fisherman activities likes boat lines for crab fishing ground in the mangrove ecosystem. Keywords: mangrove, NDVI, GIS, Kulisusu Ba