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Articles by Wan Mohd Razi Idris
Total Records ( 3 ) for Wan Mohd Razi Idris
  Muhammad Rendana , Sahibin Abdul Rahim , Wan Mohd Razi Idris , Tukimat Lihan and Zulfahmi Ali Rahman
  Background and Objective: In oil palm plantation, the fertilization is the most prominent for nutrient status evaluation and costly manageable input in oil palm cultivation. At this moment, the economic significance of nutrient management for oil palm, acquisition of accurate and timely information about its agronomy is becoming a critical issue for realization of the best management strategies. Hence, the objective of study was to map nutrient status in oil palm plantation in Selangor, Malaysia by using Geographic Information System (GIS) technique. Materials and Methods: To prepare samples and determine macronutrients concentration (nitrogen, phosphorus, potassium, magnesium and calcium) in leaf and in soil, this study had used the standardised methods. Then, leaf and soil nutrients data were computed into GIS software to generate maps of macronutrients concentration and overlaid to produce oil palm nutrient status map. Results: The results found nitrogen concentration is classified as optimum in leaf and in soil. Potassium concentration is classified as high in leaf and deficiency in soil. Magnesium and calcium concentrations are classified as moderate in leaf and deficiency in soil, whilst phosphorus is classified as deficiency in leaf and in soil. Overall, blocks of 0.231, 0.302, 0.304 and 0.305 represent the highest level of nutrient status. The oil palm nutrient status map obtaines the majority of plantation area is classified as deficiency with total area of 95.6 ha (76%) and about 30.2 ha (24%) is moderate. Conclusion: Low amount of nutrients show the nutrient status in this plantation area is unbalance.
  Jumaat H. Adam , Hafiza A. Hamid , Mohd Afiq Aizat Juhari , Siti Norhafizah Ahmad Tarmizi and Wan Mohd Razi Idris
  The study to determine the species composition and community structure of pitcher plants in Rantau Abang, Terengganu was carried out using plot method. Nepenthes gracilis was recorded in plots 1-3 at 10, 30 and 50 m, N. rafflesiana was recorded in P2 and N. ampullaria in P3. Nepenthes gracilis differs morphologically from the other two species by its sessile leaves, decurrent leaf base, angular stem shape, very thin peristome and partly glandular inner pitcher cavity wall. Nepenthes ampullaria differed by its panicle inflorescence, cuneate lids’ shape, narrower than the mouth glandless, lower lid surface, bearing up to 6-flowered bracteolate pedicels and urceolate lower pitcher. Nepenthes rafflesiana differed by infundibulate and ellipsoid upper and lower pitcher, densely glandular lower lid surface, toothed inner peristome margin. Population structures of these species comprised of seedlings, saplings and matured plants. These species consist of 52.61% of juvenile stage (seedlings and saplings) and 47.39% of matured stage. A total 5.68 and 2.84% of these species population bear male and female inflorescence. Morisita’s Index of Dispersion Pattern and Chi-square test showed that the dispersion pattern of all life stages of these species was significantly aggregated. Their Id values were from 1.12 to 3.78. Matured plants and sapling of N. gracilis recorded the lowest and biggest Id. These species grow in soil that is acidic and low organic matter content. Nepenthes gracilis grows in sandy loam, loam and sandy clay; Nepenthes ampullaria and Nepenthes rafflesiana grow in sandy clay and loam.
  Muhammad Rendana , Sahibin Abdul Rahim , Wan Mohd Razi Idris , Tukimat Lihan and Zulfahmi Ali Rahman
  The land use/land cover pattern of a region is an outcome of natural and socio-economic factors and the utilization by humans in time and space. The land use/cover change analysis is used to evaluate and monitor land use change in the specific period of time. Nowadays, the rapid changes of land use and land cover can lead to land degradation and environmental problems by anthropogenic activities like agriculture development, deforestation, urbanization and tourism. The study is conducted in Cameron Highland which is the agriculture and recreational area situated in Pahang, Malaysia. It aims to analyze land use change and make the prediction of future land use scenario in this region. In order to detect and evaluate land use changes, supervised classification and image differencing method are applied. Then, Cellular Automata and Markov Chain analysis is employed predict of future land use in study area. The output of study reveals that land use change in study area has changed about 18.95% in 1997-2014 and estimated to change about a further 3.66% in 2014-2020. Additionally, it predicted that open water, mixed agriculture, open land and built up areas will increase by 80.37 (0.54%), 501.02 (12.24%), 499.95 (5.47%) and 119.88 ha (0.85%) in 2020.
 
 
 
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