The increase and accumulation of greenhouse gases such as CO 2 was believed had caused global warming. Effort to decrease accumulation these gases is by increasing the role of mangrove forests with its ecological function as carbon sinks through good management system. To this date, very limited study on the mangrove carbon biomass using satellite data espescially in tropical region. Purpose of the research were to calculate the carbon biomass of mangrove vegetation above ground through allometric equations, and to build spatial model algorithms of each mangrove species in the region by remote sensing technology using Quickbird, Geo Eye and ALOS satellite data. The research use an exploratory field survey and purposive sampling method and was performed through the measurement of trunk diameter (DBH) of above ground mangrove biomass without damaging vegetation (non-destructive sampling). About 21 mangrove species in Kemujan Island with total mangrove biomass above ground consist of the trunk, branches, leaves : 182.4 ton or 91.2 tons of Carbon, with largest carbon storage in the trunk. The results of spatial algorithms mangrove carbon biomass for Kemujan island using Quickbird data are Ceriops tagal with Y= -0.003(B2/B3) 2 + 0.267(B2/B3) -3.452; Rhizophora apiculata with the algorithm Y= 0.001(B2/B3 ) 2 -0.116(B2/B3) + 3.415; Bruguiera cylindrical with the algorithm Y= -0.003(B2/B3) 2 + 0.336(B2/B3) -7.265; Xylocarpus granatum with algorithm Y= 0.000(B2/B3) 2 -0.058(B2/B3) + 2.101; Rhizophora mucronata with the algorithm Y= 0.000(B2/B3) 2 -0.022(B2/B3) + 1.941. Mangrove carbon biomass algorithm using Geo Eye satellite data at Parang island for Rhizophora mucronata Y = -0.0436(B2/B3) 2 + 0.526 (B2/B3) -1.4642; Bruguiera gymnorrhiza Y = -0.0027 (B2/B3) 2 + 0.0649 (B2/B3) -0.2432 and Bruguiera cylindrical Y = -0.0089 (B2/B3) 2 + 0.0632 (B2/B3) -0.0683. Total mangrove carbon biomass at Demak coastal area range from 2.9 -44.74 ton. Algorithm of mangrove carbon biomass at Demak using ALOS-AVNIR satellite data for Avicennia marina was Y = -79.18 ((B1-B2)/(B1+B2)) 2 + 31.35 ((B1-B2)/(B1+B2)) -1.191. The research concluded that band rationing of Band-2 with Band-3 for Quickbird and GeoEye data and Band-1 with Band-2 for ALOS data as the spectral signature of mangrove chlorophyll pigment with wave length of 0.5 -0.6 μm as the best for mangrove carbon algorithms.

Amino acids are important components of mangrove plant metabolisms. The aim of this study was to determine the relationship of mangrove R. mucronata leaf colors to the amino acid content. This study was conducted between March to August 2019. The leaves were taken 50 g. The assessment of Amino acids was conducted using UPLC Waters Acquity Class H with PDA Detector. The principal component analysis (PCA) was used to determine the relationship analysis between R. mucronata leaf colors and amino acid concentrations. The largest content was L glutamic acid with a green leaf content of 6139.57 ± 694.17 mg/kg and yellow leaf content of 6105.013 ± 113.2058 mg/kg. The results of PCA 1 showed that the influential amino acids were L-threonine (0.94), L-tyrosine (0.96), L-alanine (0.92), L-vanin (0.93), and PCA 2 showed glutamic acid (0.91). These results indicated that the difference in mangrove leaf colors affects the amino acid contents in the leaves.

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Ariyanto D, Bengen DG, Prartono T, Wardiatno Y. 2018. Short Communication: The relationship between content of particular metabolites of fallen mangrove leaves and the rate at which the leaves decompose over time. Biodiversitas 19: 730-735. Fallen mangrove leaves contain metabolites that play a role in their decomposition in coastal conditions. This research was conducted from September 2016 to February 2017 in Pasar Banggi, Rembang, Central Java, with the purpose of investigating the impact of the leaf metabolites of various mangrove species on the rate of decomposition of the leaves in exposed litter bags The results suggested that secondary metabolites are closely involved in the decomposition of the mangrove leaves. The fastest rate of decomposition was found in Avicennia marina, and the slowest in Rhizophora stylosa. The leaves of A. marina required 10 days (half-life, t50) to decompose by 50% and this was closely related to the phosphorus content of the leaves. On the other hand, R. stylosa required 24 days (half-life, t50) to decompose by 50%.

Highlight ResearchAntimicrobial potential against the test microbesRhizhopora mucronata isolate showed 95% homology with Bacillus subtilis, and 97% homology with Bacillus oceanisediminis,Acanthus ilicifolius isolate showed 96% homology with Paracoccus caeni, and 89% homology with Bacillus circulans. The study found 4 isolates with antimicrobial potency against MDR pathogenic microbes.The symbiont microbes taken from Rhizophora mucronata and Acanthus ilicifolius were determined to be of the genus Bacillus and Paracoccus AbstractAntimicrobial property of mangrove symbiont have the ability to fight Multi Drug Resistant bacteria which were Staphylococcus aureus, Escherichia coli, and Vibrio haryeyi. This study aimed to determine the potential of symbiont microbes from the root of Rhizopora mucronata and Acanthus iilicifolius as antimicrobial agents against multi-drug resistant (MDR) pathogenic microbes. This research was conducted during July to November 2020. The MDR bacteria were S. aureus, E. coli, and V. harveyi MDR test microbes. The symbiont microbes were identified through molecular analyses (PCR 16S rDNA). Isolation of symbiont microbes from R. mucronata resulted in 16 isolates, while isolation from A. iilicifolius resulted in 14 isolates. Based on the antimicrobial qualitative test against S. aureus, 8 out of 16 microbial isolates from R. mucronata were found to show antimicrobial properties. The testing of A. ilicifolius symbiont microbes against S. aureus showed 8 out of 14 isolates with antimicrobial properties. The test against E. coli resulted in 2 out of 16 microbial isolates from R. mucronata and 5 out of 14 isolates from A. ilicifolius with antimicrobial properties. The test against V. harveyi resulted in two out of 16 microbial isolates from R.mucronata and 4 out of 14 isolates from A. ilicifolius with antimicrobial properties. The quantitative test found 2 isolates from R. mucronta, namely isolates RM10 and RM12, with antimicrobial properties against MDR strain E. coli, with the best isolate being RM10, which produced 11.22 mm of inhibition zone diameter. Furthermore, the selection of isolates was based on the size of the inhibition zone, the clearness of the inhibition zone and the potential for antibacterial activity. Based on their overall antimicrobial potential against the test microbes, four isolates were selected.  Molecular analyses of RM12 isolate showed 95% homology with Bacillus subtilis, of RM 10 isolate showed 97% homology with Bacillus oceanisediminis, of AC isolate showed 96% homology with Paracoccus caeni, and of AC 5 isolate showed 89% homology with Bacillus circulans. The study found four isolates with antimicrobial potency against MDR pathogenic microbes. The symbiont microbes taken from R. mucronata and A. ilicifolius were determined to be of the genus Bacillus and Paracoccus.