The natural characteristics of protected areas have changed for a variety of reasons through time. Changes in protected area landscapes can occur because of natural and/or cultural processes. Natural processes such as geomorphological disturbance and climatic condition can permanently and/or temporarily change the characteristics of the environment. In addition, changes in human needs, knowledge and activities are the cultural driving forces behind changing characteristics of landscape through time. These changes can be studied both spatially and temporally. Spatially, protected area landscape structures such as shape, size and location with respect to their neighbourhood context can be studied to describe landscape configuration. Temporally, landscape functions such as different geographical locations and land characteristics can be studied to determine the rate of temporal variability in landscape. Any changes in temporal characteristics may lead to changes in spatial characteristics of protected areas and vice versa. This thesis has developed a framework to enhance the landscape ecological planning approach with attention to changes in landscapes of protected areas. Considering landscape ecological concepts, this framework draws upon spatial and temporal characteristics of protected areas. Initially, a basic model of the landscape ecological approach to protected area planning and data requirements for landscape ecological planning was developed according to the concept of landscape ecological planning. In order to examine the model in the real world, the data requirements for landscape ecological planning were implemented using a case study method. The basic list of data required for landscape ecological planning was further developed through the case study approach by highlighting the importance of road metrics in the process of planning. In addition, the case study approach proved that spatial and temporal metrics can be used in the interpretation of spatial configuration and temporal variability of protected areas th rough a quantitative method. The framework was developed for three case studies in Iran and three case studies in Australia. A number of metrics were applied in order to quantify spatial and temporal aspects of the protected areas. A list of spatial and temporal criteria was developed to assist interpretation of area compaction, spatial fragmentation and temporal variability of protected areas. Using the criteria list, a new framework for spatial and temporal evaluation of protected areas has been developed. This can be used to determine spatial and temporal management issues of protected areas at the landscape scale. Then planning scenarios for spatial and temporal issues of protected areas at the landscape scale can be suggested. The developed framework has the potential to be applied to all protected areas even where detailed ecological data and information are not available. In addition, when all data required are available, the developed framework using spatial and temporal metrics has the potential to suggest a flexible zoning plan for protected areas.
| Identifer | oai:union.ndltd.org:ADTP/210286 |
| Date | January 2007 |
| Creators | Mirkarimi, Hamed, hamed.mirkarimi@student.rmit.edu.au |
| Publisher | RMIT University. Mathematical and Geospatial Sciences |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | http://www.rmit.edu.au/help/disclaimer, Copyright Hamed Mirkarimi |
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