作者: Chun-Wei Huang , Yu-Pin Lin , Tzung-Su Ding , Johnathen Anthony
DOI: 10.3390/SU6129139
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摘要: This study developed a cell-based spatial optimization model compatible with the ArcGIS platform, termed Dynamically Dimensioned Search Landscape Optimization Planning (DDSLOP), for landscape planning. The development of proposed was based on Algorithm, which can efficiently find an optimal global solution within massive space inherent to multi-dimensional analysis. Therefore, DDSLOP reveal pattern scenarios suited specific managerial purposes at cellular level. To evaluate model, we applied it planning initiative that focused conservation three bird species in National Taiwan University Highland Experimental Farm (NTU-HEF). We compared Land-Use Pattern Optimization-library (LUPOlib), used landscapes patch results comparison revealed our fine scale method has better flexibility, and therefore form structures, which, overall, provides not only individual habitats target species, but also patterns foster high habitat connectivity, both important aspects efforts.