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Spatial Modeling of Endemic Plants Hotpots: A case of in Manjella National Park in Italy

Nanyomo, Sylvia (2010) Spatial Modeling of Endemic Plants Hotpots: A case of in Manjella National Park in Italy.

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Abstract:Due to increase of human impact on the world scale, there is an urgent need to identify the sectors of greatest biodiversity that are also most endangered. Better understanding of the patterns of endemic plant occurrence and underlying factors will allow predicting areas with high probability of these plants and help in conservation strategies. The study overall objective is to identify and map endemic plant hotspots in the mountainous region of Majella national parl and determine the factors causing this pattern. A combination of Kennel density estimation and modeling were used for the study. The ArcGIS Kennel density tool was used to determine the endemic hot spot areas. The MaxEnt modeling tool was used to predict the occurrence of the occurrence of the endemic plant taxon. The environmental variations used in the models are solar rations, aspect, slope, vegetation cover type and elevation. The study shows the hot spots for endemic plant taxon in Majella national park are found on highlands. In conclusion, two environmental variables – elevation and vegetation cover type were enough to predict the occurrence of the endemic plant taxon.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
Link to this item:https://purl.utwente.nl/essays/90748
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