Comparison of potential habitat of genus anadendrum and apoballis in Kelantan based on different qualitative methods.
This study shows the distribution of selected genus Anadendrum and Apoballis in Kingdom of Plantae in Kelantan. These two genus had been predicted by using Ecological Niche Modelling for its coordinated, suitable habitat distribution. The aimed for this study are to generate the potential map distri...
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Main Author: | |
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Format: | Undergraduate Final Project Report |
Language: | English |
Published: |
2017
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Online Access: | http://discol.umk.edu.my/id/eprint/7205/1/MUHAMMAD%20ZAKIL.pdf http://discol.umk.edu.my/id/eprint/7205/ |
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Summary: | This study shows the distribution of selected genus Anadendrum and Apoballis in Kingdom of Plantae in Kelantan. These two genus had been predicted by using Ecological Niche Modelling for its coordinated, suitable habitat distribution. The aimed for this study are to generate the potential map distribution of Anadendrum and Apoballis in Kelantan and make a comparison of the percentage of the distribution genus Anadendrum and Apoballis with Estimating Extent of Occurrence (EOO) and Area of Occurrence (AOO). The locality data of the species Anadendrum microstachyum and Apoballis mutata that had been obtained from a previous study and Herbarium collection. The environmental variables will be layered with the data. Next, these climatic variable data will show the annually, mean, temperature and precipitation of the place. Then, the data was run in MAXENT and ARC-view software. All of this software important to determine and generate the distribution map of the selected species and the factor that affecting the rate of distribution of the species. The results showed the selected species that the higher probabilities distribution of Anadendrum and Apoballis genus in Kelantan was located at Gua Musang district. Gua Musang had been listed as the district that most suitable area for these two species to growth this state has the higher probabilities of these two selected species to exhibited and the uncertainty regarding the selected species can be minimizes by referring the previous predicted distribution model. |
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