15:00 〜 15:15
[HTT14-06] Evaluating land use change with urban development and its impact on habitat quality
キーワード：land use change, habitat quality, compact city, urban simulation, future scenarios
Land use/and Cover Change (LUCC) is the core topic of the global environment, which significantly influences the structure and function of the ecosystem, including biodiversity, natural habitats, and resource usage. Accompanied by rapid population growth and socio-economic development, the world has undergone large-scale urban expansion. Therefore, seeking sustainable urban planning is essential to balance urban growth and environmental conservation. The concept of a compact city has been proposed globally as a critical strategy to establish sustainable urban forms. Whether a compact city is compelling for preserving the natural environment under urban development needs should be carefully examined considering regional differences.
Existing research has recognized the influences of landscape change on habitat quality by integrating ecosystem assessment tools and land use information. The Integrated Valuation of Ecosystem Services and Trade-offs model (InVEST) with intuitive spatial virtualization and less prior knowledge can improve the understanding and interpretation of ecosystem functioning. Spatiotemporal land use modeling is effective and reproducible for analyzing both causes and consequences of landscape dynamics. A growing body of land use simulation approaches with future scenarios such as the Cellular Automata (CA) model, which has been widely applied to illustrate landscape dynamics, with the fundamental expression of geospatial processes through cell states and their neighborhood space.
This research has adopted a patch-generating land-use simulation model (PLUS), which couples the CA model with a Random Forest algorithm of data mining technology, considering driving factors including topography and climate conditions, locational factors and traffic networks, and distribution of protected areas. This study proposes a framework to explore different urban patterns and their impact on habitat quality by incorporating the PLUS and InVEST models. Two coastal areas with urban agglomerations are selected for different urbanization levels, the National Capital Region (NCR) in the Tokyo Metropolitan Area of Japan and the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) of China. Three future compact city scenarios with the urban layout evolution of high-compact cities, medium-compact cities, and low-compact cities are designed along with the corresponding habitat quality evaluation.
The results imply that under the scenario of high-compact cities, both significant improvement and degradation of habitat quality are observed within the study areas, and the total decline in habitat quality across each area is the largest. The scenario of low-compact cities depicts scattered urban growth with mixed land use patterns and have the least habitat quality variation in both areas. The scenario of medium-compact cities improves habitat quality more than that of low-compact cities in the NCR, and habitat quality decline is less than the scenario of high-compact cities. Therefore, conserving green space with medium-compact cities could be sustainable urban planning in the NCR. In the GBA, the scenario of medium-compact cities has average habitat quality variation compared with other scenarios. Here, macro-control of land use demand to prevent excessive urban growth and over-dense urban structure should be considered for long-term strategy.
Existing research has recognized the influences of landscape change on habitat quality by integrating ecosystem assessment tools and land use information. The Integrated Valuation of Ecosystem Services and Trade-offs model (InVEST) with intuitive spatial virtualization and less prior knowledge can improve the understanding and interpretation of ecosystem functioning. Spatiotemporal land use modeling is effective and reproducible for analyzing both causes and consequences of landscape dynamics. A growing body of land use simulation approaches with future scenarios such as the Cellular Automata (CA) model, which has been widely applied to illustrate landscape dynamics, with the fundamental expression of geospatial processes through cell states and their neighborhood space.
This research has adopted a patch-generating land-use simulation model (PLUS), which couples the CA model with a Random Forest algorithm of data mining technology, considering driving factors including topography and climate conditions, locational factors and traffic networks, and distribution of protected areas. This study proposes a framework to explore different urban patterns and their impact on habitat quality by incorporating the PLUS and InVEST models. Two coastal areas with urban agglomerations are selected for different urbanization levels, the National Capital Region (NCR) in the Tokyo Metropolitan Area of Japan and the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) of China. Three future compact city scenarios with the urban layout evolution of high-compact cities, medium-compact cities, and low-compact cities are designed along with the corresponding habitat quality evaluation.
The results imply that under the scenario of high-compact cities, both significant improvement and degradation of habitat quality are observed within the study areas, and the total decline in habitat quality across each area is the largest. The scenario of low-compact cities depicts scattered urban growth with mixed land use patterns and have the least habitat quality variation in both areas. The scenario of medium-compact cities improves habitat quality more than that of low-compact cities in the NCR, and habitat quality decline is less than the scenario of high-compact cities. Therefore, conserving green space with medium-compact cities could be sustainable urban planning in the NCR. In the GBA, the scenario of medium-compact cities has average habitat quality variation compared with other scenarios. Here, macro-control of land use demand to prevent excessive urban growth and over-dense urban structure should be considered for long-term strategy.