Judul: Intersepsi Hujan dan Pengaruhnya terhadap Pemindahan Energi dan Massa pada Hutan Tropika Basah Studi Kasus Taman Nasional Lore Lindu
Abstrak: ABDUL RAUF Rainfall Interception and Effects to Energy and Mass Transfer in Tropical Rainforest “Case Study in Lore Lindu National Park” under Supervision Committee of HIDAYAT PAWITAN, CECEP KUSMANA, TANIA JUNE and GODE GRAVENHORST Field observation of this research was conducted from June 2005 – May 2007 in tropical rainforest at Lore Lindu National Park Central Sulawesi. The main objectives of this research were to study (i) the relationships between interception loss and rainfall properties and vegetation characters and to determine the dominant factors affected (ii) the effect of rainfall interception on energy flux and mass transfer and (iii) the dynamics of vertical energy flux under the forest and grass land. Rainfall interception was 36.34 % of the gross rainfall with 200 rain days, Depth rainfall and LAI factors had strong effects on rainfall interception. The relationships could be expressed as Ic=0,99+0,24P+0,04LAI (R2 = 0.78). The output of this equation was compared with Gash model and the observation value showed that deviation of the equation was 1 % and less than Gash model, so that equation gave as good result as Gash model gave. By considering the data requirements and calculation procedures it was concluded that this equation is applicable for interception prediction. Land use type had effects on radiative and energy balance. Net radiation (Rn) in the forest was 10.66 MJ/m2/day and higher than in the grass land where incident global radiation was similar. Vertical latent heat flux in the forest was 9.53 MJ/m2/day or 89.40% Rn in rainy day and 8.41 MJ/m2/day or 74.56 % Rn in dry day, on the other hand, in the grass land, sensible heat flux was higher than latent heat flux of all weather condition. Direct effect of rainfall interception on energy flux and mass transfer it is needed latent heat 9.0 MJ/m2/rainy day to evaporate the rain intercepted 3.69 mm/rainy day. Effect of rainfall interception had positive correlation with latent heat flux and the negative correlation with sensible heat flux. key word :rainfall interception, energy and mass transfer and tropical rainforest
Keyword: Rainfall interception, Mass transfer, Tropical rainforest, Stability of rainforest margin (STORMA)

Judul: Estimating Above Ground Trees Biomass Of Forest Cover Using Field Measurement And QuickBird Image In Lore Lindu National Park-Central Sulawesi
Abstrak: Forests play an important role in global carbon cycling, since they hold a large pool of carbon as well as potential carbon sinks and sources to the atmosphere. Accurate estimation of forest biomass is required for greenhouse gas inventories and terrestrial carbon accounting (Muukkonen and Heiskanen, 2006). The biomass of forest provides estimates of the carbon pools in forest vegetation because about 50% of it is carbon. Direct measurement of biomass on the ground is time consuming (expensive), and repeated measurements, if they occur at all, are generally limited to 10 year interval. The possibility that above ground forest biomass can be determined from space is a promising alternative to ground-based methods. Remote sensing has opened an effective way to estimate forest biomass and carbon. By the combination of data field measurement and allometric equation, the above ground trees biomass is possible to be estimated over the large area. The objectives of this research are: (1) To estimate the above ground tree biomass and carbon stock of forest cover in Lore Lindu National Park by combination of field data observation, allometric equation and multispectral satellite image; (2) to find the equation model between parameter that determines the biomass estimation. The method of this research use an approach of estimating the biomass that combines field studies (forest inventory data), analysis of multispectral satellite imagery, allometric equation and statistical analysis. Forest cover type classification was utilized for analyzing the biomass per pixel in each different cover type. The classifications for each cover type by using the region based different spectral value in each observation plot refer to QuickBird Image. The field data observation and satellite image classification influencing much on the accuracy of trees biomass and carbon stock estimation. The correlation analysis resulted the main regression equation in estimating the tree biomass of tropical forest, biomass=6E-05DBH2.6705 and biomass= 0.0065e 13.615 NDVI. There are 4 forest cover types observed in this research. Forest cover type A is natural forest without timber extraction (closed canopy). Forest cover type B is natural forest with minor extraction. Forest cover type C is natural forest with major timber extraction. Forest cover type D is agroforestry system. Forest cover type A and B has the higher biomass than C and D, it is about 596.41-618.66 ton/ha and 583.94-622.19 ton/ha. Forest cover type C is 446.65-468.50 ton/ha. Forest cover type D has the lowest biomass is about 193.31-214.34 ton/ha. Natural forest has high biomass, because of the tropical vegetation trees v heterogeneity with minimum disturbance. Forest cover D has the lowest trees biomass because its vegetation component as secondary forest with the homogeneity of cacao plantation. The forest biomass for each cover type will be useful for the further equation analysis when using the remote sensing technology for estimating the total biomass.
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Judul: Pengklonan gen VP28 Penyandi Viral Protein-28 dari virus white spot syndrome sebagai langkah awal produksi vaksin rekombinan udang penaeid
Abstrak: Usaha produksi udang dalam negeri saat ini sedang mengalami kendala akibat serangan penyakit white spot syndrome virus (WSSV) pada jenis udang windu (Penaeus monodon). WSSV yang termasuk virus DNA berukuran besar dapat menginfeksi udang dan berbagai jenis crustaceae lainnya. Virus ini merupakan patogen yang sangat ganas dan paling serius menyerang udang. Serangannya begitu cepat, sangat sulit dihentikan dan dapat mematikan 100% udang peliharaan dalam waktu 3-10 hari setelah munculnya gejala klinis. Serangan virus ini juga telah menghancurkan industri udang di berbagai negara. Infeksi WSSV ditandai dengan adanya bintik putih atau bercak putih pada eksoskeleton dan epidermis terutama pada bagian karapas udang. Hingga saat ini belum ada cara tradisionalyang efektif mencegah dan menanggulangi penyakit ini.
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