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Information on aboveground biomass of mangrove forest at Rawa Aopa Watumohai National (RAWN) Park is fundamental for the management of mangroves (Lumnitzera racemosa Willd.) in the park. Allometric relationships of partial or whole L. racemosa trees were examined using independent variables D30, DBH, and DB or quadratics D30 2 H, DBH 2 H, and DB 2 H from different individuals of L. racemosa trees. Aboveground biomass was estimated by allometric equations and tree census data. Results showed that the best fit for allometric models of stem biomass (WS) and leaf biomass (WL) used the independent variable of DBH 2 H, while the best fit for branch biomass (WB) used quadratic DB 2 H. The quadratic DBH 2 H is the most reliable parameter for estimating aboveground biomass of L. racemosa trees. Aboveground biomass of L. racemosa varied among stands, ranging from 26.23 to 191.01 ton ha ¡1. Biomass density of L. racemosa forest varied from 4.07 to 29.80 ton ha ¡1 m ¡1. The high aboveground biomass of L. racemosa indicates its high blue carbon stock, which maintains the productivity of nearby coastal areas. Therefore, the results of this study can help the sustainable management of mangroves in the RAWN Park and surrounding areas.

This study aims to investigate the dynamics of the effects of world crude oil prices and world rice prices on Indonesia's inflation rate in the period between January 2004 and September 2015. Monthly time series data spanning from January 2004 to September 2015 are analyzed using difference equation model as the econometric tool. Test result shows that there existed a dynamic effect of world oil crude prices and world rice prices on inflation rate in Indonesia. The World crude oil prices positively affected the inflation rate in that each 1% increase (decrease) in the world crude oil prices caused the inflation rate to go up (drop) by 0.33%. The world rice prices also positively affected the inflation rate, where each 1% increase (decrease) in world rice prices was followed by a 0.52% rise (fall) of the inflation rate.

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