Peninsular Malaysia Research Articles

Molecular prevalence of Bartonella spp. in bat flies in east coast Malaysia

Bats are a significant reservoir for numerous pathogens, including Bartonella spp. It is one of the emerging zoonotic bacterial diseases that can be transmitted to humans and may cause various unspecific clinical manifestations. Thus, bartonellosis is rarely diagnosed and is regarded as a neglected vector-borne disease (VBD). Bat flies have been hypothesised to be a vector in the transmission of pathogens among bats. They are host-specific, which reduces the likelihood of pathogen transmission across bat species; however, they are likely to maintain high pathogen loads within their host species. To explore the presence of Bartonella spp. in bat flies from Peninsular Malaysia; bat fly samples collected from various sites at the east coast states were subjected to molecular detection for Bartonella spp. It was discovered that 38.7 % of bats from Terengganu and Kelantan were infested with bat flies; however, no bat fly was found in bats collected from Pahang. The collected bat flies belonged to the families Nycteribiidae (79.6 %) and Streblidae (20.4 %). The collected bat flies were pooled according to the locations and species into 39 pools. Out of these 39 pools, 66.7 % (n = 26) were positive for Bartonella spp. by PCR. Sequence analyses of five randomly selected PCR-positive pools revealed that pools from Kelantan (n = 3) have the closest sequence identities (99 %) to Bartonella spp. strain Lisso-Nig-922 from Nigeria. However, the other pools from Terengganu (n = 2) were closely related to Bartonella spp. strain KP277 from Thailand and Bartonella spp. strain Rhin-3 from the Republic of Georgia with 99 % and 100 % sequence identity, respectively. This suggests that the Bartonella spp. found in Malaysian bat flies are genetically diverse and can potentially serve as reservoirs for pathogenic Bartonella spp.

Storm surge induced by 2019 Tropical Storm Pabuk and impact on the shoreline in Kuala Nerus Terengganu, east coast of Peninsular Malaysia

This study investigates the one-year shoreline impacts of 2019 Tropical Storm Pabuk and the morphological changes of beaches in the study area of Kuala Nerus in Malaysia mediated by the hydrodynamic conditions. The study used a numerical model that utilised the two-way coupling of the wave and hydrodynamic model of MIKE 21 to simulate the event. The impact of the event was determined by employing the Digital Shoreline Analysis System, along with regular in-situ measurements of beach profiles carried out monthly. The results show a significant retreat rate of −58 m/year at Tok Jembal, highlighting the significant erosive impact, particularly on the northwest side of the airport. Despite a storm surge height below the extreme thresholds (>1 m), the beach morphology and the presence of coastal protection structures exerted a significant modulating influence. Batu Rakit, which is characterised by a wide beach, exhibited increased wave run-up and erosion resulting from the combined effect of a tidal surge of 0.64 m and significant wave heights of more than 1.12 m. UMT and Teluk Ketapang, on the other hand, which are shielded by coastal structures and influenced by longshore currents, experienced beach accretion. The intensification of the recirculation current with the surge is postulated to have contributed to the pronounced erosion at Pengakalan Maras. Although the overall magnitude of the storm surge was not exceptional, this study emphasises the importance of studying the effects of storm surges on monsoonal coasts. The intricate interplay between waves and currents, elucidated by coupled hydrodynamic and wave modelling, is crucial for understanding the consequences of storms and for proactive coastal management strategies. This study emphasises the crucial role of detailed hydrodynamic modelling in developing effective erosion control measures, which is an ongoing challenge for coastal communities.

Indigenous Women Perspectives on Gender Equality and Feminism: A Case Study of Jahai Women in Peninsular Malaysia

Most research on gender equality and feminism have been concentrated on non-indigenous women worldwide, with very few studies focusing specifically on Jahai tribe women. Indigenous women are important in advancing the ideas of feminism and gender equality within their societies. This paper is a case study focuses on the indigenous women which is the Jahai tribe women in Royal Belum State Park, Malaysia. In this case study, we explored Jahai women’s perspectives of gender equality and feminism aspects in this indigenous society. This case study employed a quantitative and a qualitative method for data collection. A total of 20 Jahai women were selected to complete a set of questionnaires and five of them were chosen for the in-depth interview. From the study, there were four main themes that emerged including socio- economic equality, equal treatment, gender responsibilities and egalitarian leadership and decision-making prospects. This research study was guided by the Transnational Feminism Theory and Theory of Gender Equality approach. The findings revealed that there was the similarities and distinctions perceptions in gender equality and feminism aspects among Jahai women. The study's conclusions shed new light on the gender equality and feminism interpretations and challenges those women in indigenous societies face. As a result, this study is important for future research since it adds to the body of knowledge about gender equality and concerns pertaining to indigenous women.

Respiratory carriage of hypervirulent Klebsiella pneumoniae by indigenous populations of Malaysia

Klebsiella pneumoniae is a Gram-negative Enterobacteriaceae that is classified by the World Health Organisation (WHO) as a Priority One ESKAPE pathogen. South and Southeast Asian countries are regions where both healthcare associated infections (HAI) and community acquired infections (CAI) due to extended-spectrum β-lactamase (ESBL)-producing and carbapenem-resistant K. pneumoniae (CRKp) are of concern. As K. pneumoniae can also exist as a harmless commensal, the spread of resistance genotypes requires epidemiological vigilance. However there has been no significant study of carriage isolates from healthy individuals, particularly in Southeast Asia, and specially Malaysia. Here we describe the genomic analysis of respiratory isolates of K. pneumoniae obtained from Orang Ulu and Orang Asli communities in Malaysian Borneo and Peninsular Malaysia respectively. The majority of isolates were K. pneumoniae species complex (KpSC) 1 K. pneumoniae (n = 53, 89.8%). Four Klebsiella variicola subsp. variicola (KpSC3) and two Klebsiella quasipneumoniae subsp. similipneumoniae (KpSC4) were also found. It was discovered that 30.2% (n = 16) of the KpSC1 isolates were ST23, 11.3% (n = 6) were of ST65, 7.5% (n = 4) were ST13, and 13.2% (n = 7) were ST86. Only eight of the KpSC1 isolates encoded ESBL, but importantly not carbapenemase. Thirteen of the KpSC1 isolates carried yersiniabactin, colibactin and aerobactin, all of which harboured the rmpADC locus and are therefore characterised as hypervirulent. Co-carriage of multiple strains was minimal. In conclusion, most isolates were KpSC1, ST23, one of the most common sequence types and previously found in cases of K. pneumoniae infection. A proportion were hypervirulent (hvKp) however antibiotic resistance was low.

Investigating the Interaction Between Transboundary Haze and Planetary Boundary Layer in Singapore

AbstractTransboundary air pollution is one of the critical environmental problems in Southeast Asia; nevertheless the interaction between transboundary haze and local planetary boundary layer (PBL) remains unclear due to a lack of sufficient observations and sophisticated simulations. This study applied LiDAR observations and model simulations to comprehensively evaluate the interaction between transboundary haze and local PBL during a recent transboundary haze episode in Singapore in October 2023. Results show that upper‐level southeasterly wind, especially the nocturnal low‐level jet, created favorable conditions for aerosol transport when fire hotspot numbers increased in Indonesia. The rapid diurnal increase in PBL height facilitated the entrainment of upper‐level haze into the PBL, interacting with ground‐level aerosols through turbulent mixing. Model simulations further show the significant contributions of fire emissions to the transboundary haze episode in maritime Southeast Asia. The impacts extended toward the southern region of Peninsular Malaysia, driven by the persistent prevailing southeasterly wind.

Preliminary survey of medicinal plants in Soga-Perdana Forest Eco-Park Johor, Malaysia

Malaysian forests are home to rich biological diversity, many of which have potential medicinal values. However, like in many other ecosystems worldwide, these forests are in the brink of biodiversity loss caused by natural and anthropogenic pressures. This study presents the preliminary survey of medicinal plants in Soga-Perdana Forest Eco-Park Johor, Peninsular Malaysia. A rapid biodiversity assessment (RBA) method along the 2000 m by 20 m transect was used to collect taxonomic and ecological data. From the survey, 55 species of plants with known traditional medicinal uses were recorded, with Coscinium fenestratum categorised by IUCN as a critically endangered species. Aside from species that are traditionally used by indigenous people, some were commercially important species in medicine and timber production, namely Eurycoma longifolia, Dryobalanops aromatica and Shorea leprosula. This study provides evidence that even a small patch of forest surrounded by urbanised area and other land uses contains high diversity of plants with potential medicinal values. This calls for long-term conservation and effective management of this ecosystem, not only for the perpetuity of these species, but also to harness its potential scientific value in the field of pharmaceuticals and other areas related to biological diversity.

Floristic composition and biomass estimate of Rubiaceae in Bangi Permanent Forest Reserve, Selangor, Peninsular Malaysia

A study on floristic composition, community structure and biomass of Rubiaceae was carried out in Bangi Permanent Forest Reserve, Selangor. In the 0.45 ha of ecological plots, a total of 17 species from three genera of Rubiaceae was recorded for trees with a diameter ≥ 1.0 cm DBH. Three genera viz. Canthium, Ixora and Urophyllum were represented by two species each, while remaining genera comprised of a single species each. Shrub group represented the largest total number of species with seven species followed by the understorey with four species. The range of tree DBH in the study plot was between 1.0 and 31.3 cm. The genus with highest density was Aidia, viz. 244 trees/ha, represented by Aidia densiflora. Total basal area for Rubiaceae was 1.69 m2/ha, with the genus Aidia, specifically the species Aidia densiflora, contributing the highest basal area of 0.57 m2/ha (33.91%). Total biomass estimate (above ground and below ground) for this family was 16.71 t/ha. At genus level, Timonius contributed the highest total biomass value, viz. 5.82 t/ha (34.85%), represented by the species Timonius wallichianus.

Normalized Difference Vegetation Index (NDVI) marked reliable value of Ulu Muda Forest Reserve

Water resources must be preserved because they are vital for agricultural, industrial, and domestic use, especially in tropical forest regions. Given the importance of the Ulu Muda Forest Reserve to the Kedah state in sustaining paddy cultivation for the country, this study aimed to provide reliable forest classification method and produce Normalized Difference Vegetation Index-Maximum Likelihood Classification of forest density map for Ulu Muda Forest Reserve. Here, the study reports measurements of the satellite remote sensing index for the forest based the image date. The forest recorded NDVI index of 0.72 to 0.98 for high density, NDVI index of 0.61 to 0.71 for moderate and NDVI index of 0.26 to 0.60 for low density area. The index showed higher value, which is comparable with reports of other tropical forest elsewhere. The results were influenced using satellite remote sensing pre-processing, processing, and classification. As a result, based on the satellite image indices approach, upper threshold of the higher density, the forest can exhibit higher capability for sustaining its ecological and hydrological functions. Given that most of the tropical forest biome has sustained this threshold, forest management should be sustained at this state, and more measures should be taken for example increase of protection forest classification in Rancangan Pengurusan Hutan (RPH) that is one of yearly planning report in states of Peninsular Malaysia. In the meantime, Geographical Information System (GIS) capacity should be mandate looking forwards for more utilisation in mapping for planning and projection of forest resource management activities.

The taxonomy of Heteropanope indica De Man, 1887 from the Indian Ocean, with a note on Pilumnopeus pearsei (Rathbun, 1932) (Crustacea: Decapoda: Brachyura: Pilumnidae)

Benthopanope indica (De Man, 1887) was originally described from the Mergui Archipelago and has subsequently been reported from many Indo-West Pacific localities. The identity of this species is herein clarified. The re-examination of the type female, fresh specimens collected from Chilika Lake, Odisha State, India, as well as material from other locations, revealed that B. indica is not a Benthopanope species but should be assigned to Pilumnopeus instead. Pilumnopeus indicus comb. nov. is now restricted to the Indian Ocean and is reported from the western coast of Peninsular Malaysia for the first time. Heteropanope pearsei Rathbun, 1932, described from East Asia, previously synonymised under P. indicus by Sakai (1965), is here shown to be valid species of Pilumnopeus, and all previous records of “B. indica” from Japan, China, Taiwan, and Korea must be referred to this species. The two species can be differentiated by characters of the carapace, epistome, chelipeds and gonopods. Lectotypes are also designated for both species.

A new species of the Cyrtodactylus brevipalmatus group (Squamata: Gekkonidae) from Phuket Island, Thailand with a discussion of the group’s potential biogeography

Model based integrative analyses supports the recognition of a new species of the Cyrtodactylus brevipalmatus group from Phuket Island, Thailand. Cyrtodactylus thalang sp. nov. is most closely related to the sister species C. brevipalmatus from the Thai-Malay Peninsula and C. cf. brevipalmatus from Langkawi Island, Kedah State, Peninsular Malaysia. Based on the mitochondrial gene ND2, C. thalang sp. nov. bears an uncorrected pairwise sequence divergence of 14.7% and 15.1% from C. cf. brevipalmatus and C. brevipalmatus, respectively, significantly different (p<0.05) mean values of meristic and morphometric characters, and discrete categorical morphological differences. A multiple factor analysis morphospatially statistically placed C. thalang sp. nov. well outside all other species of the brevipalmatus group. The BAYAREALIKE model of a BioGeoBEARS analysis indicated the origin of the brevipalmatus group was in western Indochina with subsequent south to north speciation along the Tenasserim Mountains followed by a west to east invasion of northern Thailand, Laos, and northwestern Vietnam northeast of the Chao Phraya Basin and north of the Khorat Plateau.

Spatial Air Quality Assessment in Peninsular Malaysia: Insights from Environmetric Analyses and Artificial Neural Networks

The research investigated the spatial distribution of air quality in Peninsular Malaysia to offer crucial insights for mitigating air quality degradation. Utilizing historical data obtained from the Malaysian Department of Environment, eleven years' worth (2011-2021) of daily readings of PM10, O3 , SO2 , NO2 , and CO from thirty-four monitoring stations were subjected to environmetric techniques and Artificial Neural Network analysis. HACA successfully classified seven stations into the High Pollution Cluster (HPC), seven stations into the Moderate Pollution Cluster (MPC), and twenty stations into the Low Pollution Cluster (LPC). The discriminant analysis demonstrated a correct assignment rate of 91.87%, suggesting that all five parameters were able to discriminate with a significance level of p<0.0001. Principal Component Analysis (PCA) revealed two Variance Factors (VFs) across all clusters, with cumulative variances of 69.43% (HPC), 82.32% (MPC), and 62.16% (LPC) respectively. Furthermore, employing a Multi-Layer Perceptron Feed-Forward Artificial Neural Network (MLP-FF-ANN) model to predict API readings yielded a significant and strong correlation, as indicated by R2 =0.7774 and RMSE=9.9048. These findings hold significant potential in informing the adoption of effective preventative and management strategies.

Seasonal flood risk for paddy rice production in northwest Peninsular Malaysia

ABSTRACT Managing flood risk to crop productions can be made cost-effective by considering the seasonality of flood hazard. This study attempts to quantify expected seasonal flood risk to paddy production in northwest Peninsular Malaysia. The seasonal flood risk was quantified following the region’s standard planting seasons and accounts the seasonal annual maxima flood and potential losses to the crop production. The highest expected annual damage (EAD) is from the wet planting season between September and November during the vegetative and reproductive growth phases, amounting to more than MYR 700,000 EAD. These months coincide with the northeast monsoon season, typically occurring from November to March each year. Seasonal flood risk remains a threat to the nation, and the quantified expected losses provide strong justification of the need for a proactive and strategic action plan.

Employing gridded-based dataset for heatwave assessment and future projection in Peninsular Malaysia

Employing gridded-based dataset for heatwave assessment and future projection in Peninsular Malaysia

Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks

Soil erodibility (K) is an essential component in estimating soil loss indicating the soil's susceptibility to detach and transport. Data Computing and processing methods, such as artificial neural networks (ANNs) and multiple linear regression (MLR), have proven to be helpful in the development of predictive models for natural hazards. The present case study aims to assess the efficiency of MLR and ANN models to forecast soil erodibility in Peninsular Malaysia. A total of 103 samples were collected from various sites and K values were calculated using the Tew equation developed for Malaysian soil. From several extracted parameters, the outcomes of correlation and principal component analysis (PCA) revealed the influencing factors to be used in the development of ANN and MLR models. Based on the correlation and PCA results, two sets of influencing factors were employed to develop predictive models. Two MLR (MLR-1 and MLR-2) models and four neural networks (NN-1, NN-2, NN-3, and NN-4) optimized using Levenberg-Marquardt (LM) and scaled conjugate gradient (SCG) were developed and evaluated. The model performance validation was conducted using the coefficient of determination (R2), mean squared error (MSE), root mean squared error (RMSE), and Nash-Sutcliffe efficiency coefficient (NSE). The analysis showed that ANN models outperformed MLR models. The R2 values of 0.446 (MLR-1), 0.430 (MLR-2), 0.894 (NN-1), 0.855 (NN-2), 0.940 (NN-3), and 0.826 (NN-4); MSE values of 0.0000306 (MLR-1), 0.0000315 (MLR-2), 0.0000158 (NN-1), 0.0000261 (NN-2), 0.0000318 (NN-3), and 0.0000216 (NN-4) suggested the higher accuracy and lower modelling error of ANN models as compared with MLR. This study could provide an empirical basis and methodological support for K factor estimation in the region.

An investigation on the relationship between the number of Barn Swallow (Hirundo rustica) and environmental parameters in Jelebu, Peninsular Malaysia

Swallows (Hirundo spp.) inhabit a variety of habitats in both tropical and temperate zones. Barn Swallows (Hirundo rustica), in particular, frequently roost in large numbers and construct mud nests on buildings, causing nuisance to humans. At the Glami Lemi Biotechnology Research Centre (GLBRC), which is located in Peninsular Malaysia, there are certain structures that are frequently utilised by a large number of swallows for perching and resting. This results in the defacement of the exterior walls caused by their droppings. Hence, the analysis presented in this paper delves into the factors influencing their presence and numbers. The objective of this study was to examine the fluctuations in the number of perched Barn Swallows and their relationship with three environmental parameters: temperature, relative humidity, and light intensity. Three hours of observation were conducted in two different sessions (i.e., morning and afternoon) three times per week for one year. The results showed that the number of Barn Swallows perched appeared to be stable throughout the year, except for November and December, when it increased tremendously and reached its peak. A Spearman rank analysis was conducted to investigate the correlation between the number of swallows perched and the environmental parameters. The analysis was restricted to only periods when the birds were present. A significant effect of relative humidity and temperature was observed for the morning session, promoting the relationship between the environmental parameters and the perching/resting behaviour of this species. This situation is parallel with the afternoon session, where all three environmental parameters showed a significant effect on swallows' numbers. This study not only provides valuable information to the GLBRC's management to effectively anticipate appropriate steps to mitigate the influx of Barn Swallows but also enhances our knowledge of the perching/resting behaviour of this species.

Developing an ensembled machine learning model for predicting water quality index in Johor River Basin

Currently, the Water Quality Index (WQI) model becomes a widely used tool to evaluate surface water quality for agriculture, domestic and industrial. WQI is one of the simplest mathematical tools that can assist water operator in decision making in assessing the quality of water and it is widely used in the last years. The water quality analysis and prediction is conducted for Johor River Basin incorporating the upstream to downstream water quality monitoring station data of the river. In this research, the numerical method is first used to calculate the WQI and identify the classes for validating the prediction results. Then, two ensemble and optimized machine learning models including gradient boosting regression (GB) and random forest regression (RF) are employed to predict the WQI. The study area selected is the Johor River basin located in Johor, Peninsular Malaysia. The initial phase of this study involves analyzing all available data on parameters concerning the river, aiming to gain a comprehensive understanding of the overall water quality within the river basin. Through temporal analysis, it was determined that Mg, E. coli, SS, and DS emerge as critical factors affecting water quality in this river basin. Then, in terms of WQI calculation, feature importance method is used to identify the most important parameters that can be used to predict the WQI. Finally, an ensemble-based machine learning model is designed to predict the WQI using three parameters. Two ensemble ML approaches are chosen to predict the WQI in the study area and achieved a R2 of 0.86 for RF-based regression and 0.85 for GB-based ML technique. Finally, this research proves that using only the biochemical oxygen demand (BOD), the chemical oxygen demand (COD) and percentage of dissolved oxygen (DO%), the WQI can be predicted accurately and almost 96 times out of 100 sample, the water class can be predicted using GB ensembled ML algorithm. Moving forward, stakeholders may opt to integrate this research into their analyses, potentially yielding economic reliability and time savings.

Origin and evolution of a new tetraploid mangrove species in an intertidal zone

Polyploidy is a major factor in the evolution of plants, yet we know little about the origin and evolution of polyploidy in intertidal species. This study aimed to identify the evolutionary transitions in three true-mangrove species of the genus Acanthus distributed in the Indo–West Pacific region. For this purpose, we took an integrative approach that combined data on morphology, cytology, climatic niche, phylogeny, and biogeography of 493 samples from 42 geographic sites. Our results show that the Acanthus ilicifolius lineage distributed east of the Thai–Malay Peninsula possesses a tetraploid karyotype, which is morphologically distinct from that of the lineage on the west side. The haplotype networks and phylogenetic trees for the chloroplast genome and eight nuclear genes reveal that the tetraploid species has two sub-genomes, one each from A. ilicifolius and A.ebracteatus, the paternal and maternal parents, respectively. Population structure analysis also supports the hybrid speciation history of the new tetraploid species. The two sub-genomes of the tetraploid species diverged from their diploid progenitors during the Pleistocene. Environmental niche models revealed that the tetraploid species not only occupied the near-entire niche space of the diploids, but also expanded into novel environments. Our findings suggest that A. ilicifolius species distributed on the east side of the Thai–Malay Peninsula should be regarded as a new species, A. tetraploideus, which originated from hybridization between A. ilicifolius and A. ebracteatus, followed by chromosome doubling. This is the first report of a true-mangrove allopolyploid species that can reproduce sexually and clonally reproduction, which explains the long-term adaptive potential of the species.

Factors Associated with Intention to Report Child Abuse among Early Childcare Providers in North-eastern Preschools, Malaysia

INTRODUCTION: Despite the rising number of child abuse in Malaysia, there are only few studies documenting early childcare providers' (ECPs') intention to report child abuse. ECPs play a vital impact because they closely interact with the children and nearly daily observe them. They should take the lead in ending the cycle of abuse in order to safeguard the children. The aim of our study was to determine the factors that influence ECPs' intentions to report child abuse. MATERIALS AND METHOD: 457 ECPs working in preschools registered under the Community Development Department in Kelantan, the North-eastern part of peninsular Malaysia participated in a cross-sectional study utilising the Early Childhood Educators Child Abuse Questionnaire (ECECAQ) in Malay, which has been validated. RESULTS: Increasing knowledge was significantly associated with the intention to report to the authorities as revealed by multiple logistic regression. CONCLUSION: Our findings justify the need for a comprehensive module and integrated standardized training on child abuse for ECPs in Malaysia to improve their knowledge, thus empowering them to report any child abuse case.

Wind Profiles in Peninsular Malaysia: A Comprehensive Upper Air Analysis

Understanding the atmospheric properties and patterns is crucial in empowering Malaysia's national aerospace blueprint, national space, and legislation. While various policies have been enacted and implemented, there is a lack of information on the wind profile, specifically the upper air across Peninsular Malaysia. Realising the need to establish a standard guideline for national reference, future research, space-aerospace application, and legislation, this study was performed to develop the first wind profile analysis of upper air in Peninsular Malaysia. Relevant data from the Malaysian Meteorology Department was collected for analysis and evaluation. Specifically, a meteorology balloon attached with a sounding radiosonde was used to record data at 0000UTC (0800 h LT) and 1200UTC (2000 h LT) on the 15th day of each month for 7 years (from 2015 to 2021) at the KLIA and Kuantan Meteorology Stations for the wind profiling analysis. The daily overall data collection was recorded accurately once the balloon's rising rate stabilises from vertical air current (katabatic or anabatic winds). Subsequently, the collected data were evaluated in terms of the minimum, maximum, and average wind speeds for each year and time. Finally, the average wind speed of each year and time were combined to generate the Peninsular Malaysia wind profile. Based on the results, the projected wind profile for both stations identified three peaks of discrete sine wave flow type with low-speed wind profile in Peninsular Malaysia. The three peaks amplified the highest air velocity, whereby the 1st and 2nd peaks were located at the troposphere layer from 9,000 m to 12,000 m altitude (average wind speed of 10.8 ms-1) and 12,000 m to 18,000 m altitude (average wind speed of 13.7 ms-1). The 3rd peak was located at the stratosphere layer from 18,000 m to 32,000 m altitude (average wind speed of 15.2 ms-1). Since East Malaysia is located on the same equatorial line, the wind profile is hypothetically the same and exhibits only slight differences. In short, the established wind profile of upper air in Peninsular Malaysia in this study would facilitate other future studies and assist long-term planning of Malaysia's airspace legislation.

Metals Accumulation of Tropical Shrub Melastoma malabathricum L. (Melastomataceae) Populations and Their Relation To Soil Edaphic Factor

Melastoma malabathricum L. (Melastomataceae) is a widely distributed tropical shrub that grows in Southeast Asia. Recent research found that M. malabathricum has a bioremediatory potential that can accumulate high concentrations of toxic metals such as Al, Pb, As, and Cr. Thus, this study aimed to investigate the metal hyperaccumulation in M. malabathricum from various populations and their relation to soil edaphic factors. We collected mature leaves and soils of M. malabathricum from 15 different populations in Negeri Sembilan, Selangor, and Pahang in Peninsular Malaysia. These 15 populations consist of lowland forests, dump sites, riparian, oil palm and rubber plantations, paddy fields, and mining sites. We found that M. malabathricum accumulated high concentrations of Al (3.45±1.58 to 8.697±1.61 mg g-1) followed by Fe (1.02±0.02 to 1.07±0.04 mg g-1), Pb (0.013±0.001 to 0.016±0.001 mg g-1), As (0.008±0.005 to 0.23±0.004 mg g-1), and Cr (0.005±0.0003 to 0.02±0.01 mg g-1). The highest concentration of soil Al was 85.95±5.00 mg g-1, Fe with 69.960±7.47mg g-1, Pb with 0.192±0.03 mg g-1, As with 0.156±0.06 mg g-1 and Cr with 0.133±0.03 mg g-1. We found no significant association between high foliar metal concentrations of the metals (Al, Pb, As & Cr) with the soil chemical properties but some soil metal elements were intercorrelated with foliar metal concentrations. Understanding the potential of M. malabathricum in accumulating high levels of metal elements, provides useful information for phytoremediation works.  Further research is required to investigate the mechanism uptake and tolerance of heavy metals in M. malabathricum.