Dwiki Prasetiya, Tien Aminatun
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. © 2019 Association for Computing Machinery.
Department of Biology, Yogyakarta State University, Jl. Colombo No.1, Karangmalang, Yogyakarta, Indonesia
