Indonesian Institute of Sciences

About: Indonesian Institute of Sciences is a facility organization based out in Jakarta, Indonesia. It is known for research contribution in the topics: Population & Genus. The organization has 4795 authors who have published 10544 publications receiving 76990 citations. The organization is also known as: Indonesian Institute of Sciences Cibinong, Indonesia.

A new ULF wave analysis for Seismo-Electromagnetics using CPMN/MAGDAS data

Abstract: The Space Environment Research Center of Kyushu University has obtained geomagnetic data in the Circum-pan Pacific Magnetometer Network (CPMN) region for over 10 years, and has recently deployed a new real-time Magnetic Data Acquisition System (MAGDAS) in the CPMN region and an FM-CW radar network along the 210° magnetic meridian (MM) for space weather research and applications. This project intends to get the MAGDAS network fully operational and provide data for studies on space and lithosphere weather. In connection with this project, we propose a new ultra-low frequency (ULF) wave analysis method to study ULF anomalies associated with large earthquakes using magnetic data. From a case study of the 1999/05/12 Kushiro earthquake with magnitude M = 6.4, we found a peculiar increase of H-component power ratio A R / A M of Pc 3 magnetic pulsations a few weeks before the earthquake, where A R is the power obtained at Rikubetsu station ( r = 61 km) near the epicenter and A M is the power obtained at a remote reference station, Moshiri ( r = 205 km). It is also found that the H-component power ratio A D / A Y of Pc 3 increased three times just a few weeks before the earthquake and after one week decreased to the normal level, where A D is one-day power at Rikubetsu station and A Y is the one-year-average power.

Rapid litter production and accumulation in Bornean mangrove forests

Abstract: Litter fall and accumulation were measured weekly for one year (January–December 2007) at five mangrove forests within the Apar-Adang Nature Reserve, East Kalimantan, Indonesia. Three forests were located near the sea edge, each co-dominated by combinations of Sonnertia alba, Rhizophora apiculata, and Bruguiera parviflora; two forests were co-dominated by Ceriops decandra, Exocoecaria agallocha, and Bruguiera sexangula (site IV), and by B. parviflora and B. sexangula (site V) and located further inland but subjected to intermittant freshwater inputs. Mean rates of annual litter production at forests I to V were 20.3, 19.7, 27.2, 24.2 and 27.6 Mg DW ha−1 yr−1 (mean of all forests = 23.7 Mg DW ha−1 yr−1) and rates of litter accumulation were 44.4, 50.2, 45.9, 61.3 and 66.2 Mg DW ha−1 yr−1 (mean of all forests = 57.8 Mg DW ha−1 yr−1), respectively, exhibiting peaks in the wet and dry seasons. Litter accumulation was greater than litter fall due to tidal advection of litter from forests closer to the sea edge coupled with slow decay rates. These rates of aboveground litter production and accumulation are the highest recorded for mangroves and higher than rates measured in tropical humid evergreen forests, suggesting that large expanses of equatorial mangrove forest, such as those on Borneo, may constitute an immense sink for coastal carbon.

Multitemporal Analysis of High-Spatial-Resolution Optical Satellite Imagery for Mangrove Species Mapping in Bali, Indonesia

Abstract: Mapping zonations of mangrove species (ZMS) is important when assessing the functioning of such specific ecosystems. However, the reproducibility of remote sensing methods for discriminating and mapping mangrove habitats is often overstated due to the lack of temporal observations. Here, we investigated the potential use of temporal series of high-resolution multispectral satellite images to discriminate and map four typical Asian ZMS. This study was based on the analysis of eight images acquired between 2001 and 2014 over the mangrove area of Nusa Lembongan, Bali, Indonesia. Variations between years in the top-of-atmosphere reflectance signatures were examined as functions of the acquisition angles. We also applied maximum likelihood supervised classification to all of the images and determined the variability in the classification errors. We found that the distinction between spectral signatures of ZMS characterized by a close canopy was fairly independent of the season and sensor characteristics. By contrast, the variability in the multispectral signatures of ZMS with open canopies and associated classification errors could be attributed to variability in ground surface scattering. In both cases, sun-viewing geometry could alter the separability between ZMS classes in near-nadir viewing or frontward sun-viewing configurations, thereby explaining why the overall accuracy of ZMS classification might vary from 65% to 80%. Thus, multitemporal analysis is an important stage in the development of robust methods for ZMS mapping. It must be supported by physical-based research aiming to quantify the influences of canopy structure, species composition, ground surface properties, and viewing geometry parameters on ZMS multispectral signatures.

(Anti-)deuteron production in pp collisions at √s=13TeV

Abstract: The study of (anti-)deuteron production in pp collisions has proven to be a powerful tool to investigate the formation mechanism of loosely bound states in high-energy hadronic collisions. In this paper the production of $\text {(anti-)deuterons}$ is studied as a function of the charged particle multiplicity in inelastic pp collisions at $\sqrt{s}=13$ TeV using the ALICE experiment. Thanks to the large number of accumulated minimum bias events, it has been possible to measure (anti-)deuteron production in pp collisions up to the same charged particle multiplicity (${\mathrm {d} N_{ch}/\mathrm {d} \eta } \sim 26$) as measured in p–Pb collisions at similar centre-of-mass energies. Within the uncertainties, the deuteron yield in pp collisions resembles the one in p–Pb interactions, suggesting a common formation mechanism behind the production of light nuclei in hadronic interactions. In this context the measurements are compared with the expectations of coalescence and statistical hadronisation models (SHM).