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Developing a Cell-Based Spatial Optimization Model for Land-Use Patterns Planning

Author

Listed:
  • Chun-Wei Huang

    (Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei 10617, Taiwan)

  • Yu-Pin Lin

    (Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei 10617, Taiwan
    These authors contributed equally to this work.)

  • Tzung-Su Ding

    (School of Forestry and Resource Conservation, National Taiwan University, Taipei 10617, Taiwan
    These authors contributed equally to this work.)

  • Johnathen Anthony

    (Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei 10617, Taiwan
    These authors contributed equally to this work.)

Abstract

This study developed a cell-based spatial optimization model compatible with the ArcGIS platform, termed Dynamically Dimensioned Search Landscape Optimization Planning model (DDSLOP), for landscape planning. The development of the proposed model was based on the Dynamically Dimensioned Search Algorithm, which can efficiently find an optimal global solution within the massive solution space inherent to multi-dimensional analysis. Therefore, the DDSLOP model can reveal landscape pattern scenarios suited to specific managerial purposes at a cellular level. To evaluate the DDSLOP model, we applied it to a landscape planning initiative that focused on the conservation of three bird species in the National Taiwan University Highland Experimental Farm (NTU-HEF). We compared the proposed model with the Land-Use Pattern Optimization-library (LUPOlib), which was used in the optimization of landscapes at a patch level. The results of the comparison revealed that our fine scale optimization method has better flexibility, and can therefore form landscape structures, which, overall, provides not only better individual habitats for the target species, but also landscape patterns that foster high habitat connectivity, both important aspects of conservation efforts.

Suggested Citation

  • Chun-Wei Huang & Yu-Pin Lin & Tzung-Su Ding & Johnathen Anthony, 2014. "Developing a Cell-Based Spatial Optimization Model for Land-Use Patterns Planning," Sustainability, MDPI, vol. 6(12), pages 1-20, December.
  • Handle: RePEc:gam:jsusta:v:6:y:2014:i:12:p:9139-9158:d:43296
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    References listed on IDEAS

    as
    1. Mohamed Zakaria & Muhammad Rajpar & Hossein Moradi & Zamri Rosli, 2014. "Comparison of understorey bird species in relation to edge–interior gradient in an isolated tropical rainforest of Malaysia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(2), pages 375-392, April.
    2. Steeves Buckland & Nik C Cole & Jesús Aguirre-Gutiérrez & Laura E Gallagher & Sion M Henshaw & Aurélien Besnard & Rachel M Tucker & Vishnu Bachraz & Kevin Ruhomaun & Stephen Harris, 2014. "Ecological Effects of the Invasive Giant Madagascar Day Gecko on Endemic Mauritian Geckos: Applications of Binomial-Mixture and Species Distribution Models," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-9, April.
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