Publication:
Study on landscape ecology of fern species as potential ecological indicator for urban environment

cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.departmenta1bce18a-624c-4534-9002-9fa84013f025
cris.virtualsource.orcida1bce18a-624c-4534-9002-9fa84013f025
dc.contributor.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#en_US
dc.contributor.authorNur Hanie Mohd Latiff
dc.date.accessioned2024-10-08T07:08:51Z
dc.date.available2024-10-08T07:08:51Z
dc.date.issued2014
dc.description.abstractThis research explores the capabilities of fern species as phytoindicators to indicate microclimate changes at different elevations to facilitate productive future growth through the landscape ecology approach. The research collected 103 fern species from four sites, namely; Rimba Ilmu, UM; Taman Pakis, UKM; FRIM botanical Garden, Kepong and Putrajaya Botanical Garden. The sampled sites consisted of three types of habitat, namely; terrestrial (highland, lowland, highland and lowland), epiphyte (highland, lowland, highland and lowland) and aquatic (emerged and floater) as well as different characteristics such as shrubs, trees, climbers, groundcovers, epiphytes, and aquatics. From this sample, the research concluded that different elevation meant different fern species. At higher elevation, there were more diverse fern species. In this research, observation and measurement were made based on two different natural environments, namely; Gunung Jerai, Kedah, and Lata Jarum, Pahang. Interestingly results from the two case studies indicated that the distribution and abundance of fern species was strongly influenced by differences in altitude. Twelve fern species were found at different elevations at Gunung Jerai, Kedah, whereas 20 fern species were found at Lata Jarum, Pahang. Among the species found at Gunung Jerai were Selaginella willdenowii, Arcypteris irregularis, Adiantum caudatum, Pityrogramma calomelanos, Histiopteris stipulacea, Athyrium cordifolium, Osmund wachellii, and Cyathea contaminans. Whereas the species found at Lata Jarum are Dicranopteris linearis, Phymatodes scolopendria, Antrophyum callifolium, Arcypteris irregularis, Phymatodes crustachea, Selaginella willdenowi, Angiopteris evecta and Aglaomorpha heraclea. The research also found the urban climate differs complete to natural ecological climate. The urban microclimate is hotter than the natural microclimate ecology. In conclusion, fern species has a close relationship with elevation as well as microclimate changes. In regards to the urban environment, the research studied the coastal urban environment with the T < 26°C, RH >60 % and LI < 800 lux, namely Gunung Jerai, whereas for the inland urban environment such as Kuala Lumpur with the T <27 °C, RH >80 % and LI < 1500 lux, sampled environment was Lata Jarum.en_US
dc.description.callnumbert QH 541.15 L35 N974S 2014en_US
dc.description.degreelevelMasteren_US
dc.description.identifierThesis : Study on landscape ecology of fern species as potential ecological indicator for urban environment /by Nur Hanie binti Mohd Latiffen_US
dc.description.kulliyahKulliyyah of Architecture and Environmental Designen_US
dc.description.notesThesis (MSBE)--International Islamic University Malaysia, 2014en_US
dc.description.physicaldescriptionxii, 217 leaves : ill ; 30cmen_US
dc.description.programmeMaster of Scienceen_US
dc.identifier.urihttps://studentrepo.iium.edu.my/handle/123456789/8789
dc.identifier.urlhttps://lib.iium.edu.my/mom/services/mom/document/getFile/7GxNUJWMgqVy75lCUebAclXnarAKHnqp20140811150633046
dc.language.isoenen_US
dc.publisherKuala Lumpur: International Islamic University Malaysia, 2014en_US
dc.rightsCopyright International Islamic University Malaysia
dc.subject.lcshLandscape ecologyen_US
dc.subject.lcshEcologyen_US
dc.titleStudy on landscape ecology of fern species as potential ecological indicator for urban environmenten_US
dc.typeMaster Thesesen_US
dspace.entity.typePublication
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#

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