Integrating spatial multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modelling

摘要: Abstract GIS data processing and spatial analysis, together with modern decision analysis techniques, were used in this study to improve habitat suitability evaluation over large areas. Both empirical models based on expert knowledge can be applied approach. The requirements of species described as map layers within so that each layer represented one criterion. was the platform managing, combining displaying criterion also a tool for producing new data, especially by utilising functions. Criterion standardisation, weighting accomplished means multi-criteria (MCE) methods, theoretical background being multi-attribute utility theory (MAUT). By using continuous priority sub-priority functions evaluation, no classification attributes needed non-linear relationships between could considered. Sensitivity consider temporal factor find out effect different criteria weights pattern index. Changing permanent time-changeable factors shifted location optimal habitats species. In long run, such soil properties define potential, which is important take into consideration; e.g. forest management planning conservation. method illustrated case maps produced an old-forest polypore, Skeletocutis odora .