Abstract
Based on our previous research, Auricularia delicata has been detected as unique and important local mushroom in economic and ecological values which were newly recorded in Turgo tropical forest ecosystem, with exactly restricted distribution only in Bingungan forest. This research aimed to know habitat preferences of Auricularia delicata by using ecological informatics approach regarding to management forest-fungi efforts. To yield communicative interpretation, we used some analyses from Pearson correlation among physical and chemical characteristics of substrate as Auricularia delicata habitat, Bray-Curtis similarity and distance indices, NMDS (Non-Metric Multidimensional Scaling) ordination, hierarchical clustering with UPGMA (Unweighted Pair Group Method with Arithmetic Mean) and non-hierarchical clustering with K-means, till we could categorize habitat preferences from the very good, good, poor, and very poor categories.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
