Papers by A. Ainuddin Nuruddin
Soil, forest and atmosphere are potential carbon storage in the terrestrial ecosystem. However, l... more Soil, forest and atmosphere are potential carbon storage in the terrestrial ecosystem. However, little is known regarding the carbon storage of this ecosystem, particularly belowground. This study was conducted in the Marudu Bay mangrove forest, Sabah with the aim of quantifying carbon storage in soil for four dominant species in the study area. A total of 60 samples were collected at different species sites. Multiple linear regression and Pearson's correlations analysis were employed in this study. The average soil carbon storage in Marudu Bay mangrove forest was 89.98 t/ha with 35.5% from Rhizophora apiculata, 28.9% from Nypa fruticans, 27.15% from Bruguiera parviflora and 8.44% from Avicennia alba. Soil carbon storage was significantly affected by carbon content and sampling depth.
Pesquisa Florestal Brasileira, 2019
Pesquisa Florestal Brasileira, 2019
base florestal, a produ91io de biomassa, utiliza galhos, madeiras diversas, arvores quebradas ou ... more base florestal, a produ91io de biomassa, utiliza galhos, madeiras diversas, arvores quebradas ou mortas, materiais de limpeza de talhiies e servem para a gera91io de energia termica e vapor para gera9ao de energia eletrica. Em uma empresa fl orestal brasileira, apesar de serem necessarias 5 toneladas de biomassa para suprir o potencial energetico gerado por 1 tonelada de 6leo BPF, o seu custo e 6,2 vezes menor (de R$386,00 contra R$2400,00 para a mesma gera9iio de energia). Esta pesquisa analisou a influencia da mistura de quatro diferentes fontes de biomassa fl orestal: biomassa da limpeza de areas de pinus e eucaliptos; cavacos de madeira do mercado local e cascas oriundas do processo de descascamento de toras para celulose, para gera91io de bioenergia. Foram testadas diferentes misturas destas quatro fontes de biomassa e realizadas analises quimica imediata e elementar e o poder calorifico inferior de cada composi9ao. Os resultados estatisticos nao apresentaram diferen9as si gn ificativas para as diferentes composi9iies de produtos, o que demonstra a viabilidade do atual sistema de gera91io de bioenergia.
Pesquisa Florestal Brasileira, 2019
The objectives of this review are to determine the types of indices to use, to assess the current... more The objectives of this review are to determine the types of indices to use, to assess the current sediment quality index (SQI) of a mangrove forest and to select the appropriate index to describe the mangrove sediment quality index. Amongst the many indices considered in this review are the enrichment factors (EFs), the geo-accumulation index (Igeo), the pollution load index (PLI), the marine sediment pollution index (MSPI) and sediment quality index (SQI). The different indices give diverse perspectives of the status of mangrove sediment quality. This review also highlights the appropriate parameters that need to be used in assessing sediment quality, such as the physical, chemical and biological properties. As the comparison review, the sediment quality can be utilized for Mangrove quality index (MQI) development like to assess the heavy metal, complete laboratory parameters and a classification following the Interim Sediment Quality Guidelines ISQG, PCA and HACA. For the heavy me...
Advances in Intelligent Systems and Computing, 2021
Soil, forest and atmosphere are potential carbon storage in the terrestrial ecosystem. However, l... more Soil, forest and atmosphere are potential carbon storage in the terrestrial ecosystem. However, little is known regarding the carbon storage of this ecosystem, particularly belowground. This study was conducted in the Marudu Bay mangrove forest, Sabah with the aim of quantifying carbon storage in soil for four dominant species in the study area. A total of 60 samples were collected at different species sites. Multiple linear regression and Pearson's correlations analysis were employed in this study. The average soil carbon storage in Marudu Bay mangrove forest was 89.98 t/ha with 35.5% from Rhizophora apiculata, 28.9% from Nypa fruticans, 27.15% from Bruguiera parviflora and 8.44% from Avicennia alba. Soil carbon storage was significantly affected by carbon content and sampling depth.
For the last 5 decades, the main factors of the world timber demand are the construction dynamics... more For the last 5 decades, the main factors of the world timber demand are the construction dynamics, the demographics, the user's income, the price and availability of wood products relatively to alternative materials, and regulations and policies. We measured the long run demand elasticities the major regions of the world, and built phenomenological models which can predict the wood demand up to 2050 with known e1rnrs. For the prediction of the wood demand until 2050, factors such as GDP and prices which would only rely on arbitrary scenarios, are discarded, and we measure how much of the variability of the wood demand can be predicted from phenomenological and robust variables such as demographic factors. We find that wood demands of the tropical regions (Latin-America, Sub-saharan Africa, and Tropical Asia) can be reliably modelled with good prediction errors bellow± 13% to± 24%. Conversely, the demand models of the temperate regions where the wood dynamics are more linked with...
High fire occurrence in Riau Province, Indonesia has been going on in the recent years with large... more High fire occurrence in Riau Province, Indonesia has been going on in the recent years with large areas occurring in the peat soil. In this paper a data mining technique namely classification was applied on forest fire data to develop classification models for hotspots occurrence in Riau Province. The models provide characteristics of areas where active fires occurred. We studied physical data including land cover, road, river, city centers, industrial timber plantation, logging concession, peatland depth and peatland types to classify 2693 target objects. Target objects are true alarm data namely hotspots distribution in 2008 and false alarm data which are randomly generated within the areas at least 1 km away from any true alarm data. We applied three classification algorithms that are available in the data mining toolkit Weka 3.6.2: J48 module as Java implementation of C4.5 algorithm, SimpleCart and NaïveBayes. The result shows that the classifier generated from the J48 has highest accuracy i.e. 69.59 % compared to two other algorithms. Our results based on the J48 classifier show that hotspots are predicted to take place in areas that (1) are non logging concession areas, (2) are plantation and dryland forest, and (3) have peatland type: Very deep Hemists/Saprists (> 400 cm). Additionally, hotspot occurrence probability is higher in areas located 10 km from roads, 3 km from rivers and within 5 km to 20 km of city centers where the areas are accessible to humans.
Microbial Ecology, 2012
The dominant factors controlling soil bacterial community variation within the tropics are poorly... more The dominant factors controlling soil bacterial community variation within the tropics are poorly known. We sampled soils across a range of land use types-primary (unlogged) and logged forests and crop and pasture lands in Malaysia. PCR-amplified soil DNA for the bacterial 16S rRNA gene targeting the V1-V3 region was pyrosequenced using the 454 Roche machine. We found that land use in itself has a weak but significant effect on the bacterial community composition. However, bacterial community composition and diversity was strongly correlated with soil properties, especially soil pH, total carbon, and C/N ratio. Soil pH was the best predictor of bacterial community composition and diversity across the various land use types, with the highest diversity close to neutral pH values. In addition, variation in phylogenetic structure of dominant lineages (Alphaproteobacteria, Beta/Gammaproteobacteria, Acidobacteria, and Actinobacteria) is also significantly correlated with soil pH. Together, these results confirm the importance of soil pH in structuring soil bacterial communities in Southeast Asia. Our results also suggest that unlike the general diversity pattern found for larger organisms, primary tropical forest is no richer in operational taxonomic units of soil bacteria than logged forest, and agricultural land (crop and pasture) is actually richer than primary forest, partly due to selection of more fertile soils that have higher pH for agriculture and the effects of soil liming raising pH.
Journal of Applied Sciences, 2008
In this study, daily KBDI values were calculated and temporal trends were analyzed at four select... more In this study, daily KBDI values were calculated and temporal trends were analyzed at four selected stations; Kota Bharu, Kuching, Sandakan and Subang in Malaysia for the period 1990-1995 using a KBDI software. The highest monthly mean KBDI values were 1550 in
Disaster Prevention and Management: An International Journal, 2004
Peat swamp forest fire hazard areas were identified and mapped by integrating GIS-grid-based and ... more Peat swamp forest fire hazard areas were identified and mapped by integrating GIS-grid-based and multi-criteria analysis to provide valuable information about the areas most likely to be affected by fire in the Pekan District, south of Pahang, Malaysia. A spatially weighted index model was implemented to develop the fire hazard assessment model used in this study. Fire-causing factors such as land use, road network, slope, aspect and elevation data were used in this application. A two-mosaic Landsat TM scene was used to extract land use parameters of the study area. A triangle irregular network was generated from the digitized topographic map to produce a slope risk map, an aspect risk map and an elevation risk map. Spatial analysis was applied to reclassify and overlay all grid hazard maps to produce a final peat swamp forest fire hazard map. To validate the model, the actual fire occurrence map was compared with the fire hazard zone area derived from the model. The model can be used only for specific areas, and other criteria should be considered if the model is used for other areas. The results show that most of the actual fire spots are located in very high and high fire risk zones identified by the model.
Asian Journal of Plant Sciences, 2011
... Researchers) (2007) in English. -, Above ground biomass functions for Eucalyptus Globulus:PA ... more ... Researchers) (2007) in English. -, Above ground biomass functions for Eucalyptus Globulus:PA case study in finfine fuel wood plantations, Oromia, Ethiopia. by SolomonTegene;Tesfaye Teshome and Gong,Peichen (2003) in English. ...
Uploads
Papers by A. Ainuddin Nuruddin