Three-cluster biogeography of bats
605 species and 150 genera in total
Cluster 1 (light blue): centered on Reserva Nacional Allpahuayo-Mishana, Peru (ER 737)
77 genera (63 unique), 258 species (233 unique), 179 samples, 4836 records
most common: Artibeus (138 samples), Artibeus lituratus (121 samples), Carollia (115 samples)
Cluster 2 (dark green): centered on Lambir Hills National Park (primary forests), Malaysia (ER 703)
71 genera (35 unique), 309 species (244 unique), 84 samples, 1647 records
most common: Rhinolophus (54 samples), Hipposideros (49 samples), Myotis (49 samples)
Cluster 3 (red): centered on Badja (Session 2), Australia (ER 3066)
27 genera (6 unique), 68 species (36 unique), 21 samples, 274 records
most common: Chalinolobus (18 samples), Nyctophilus (17 samples), Vespadelus (16 samples)
Unclassified samples are in grey. These samples share no species with any of the cluster centers.
This cluster analysis tool is meant for educational purposes only. It uses a simplified and fast algorithm that it is related to the k-medoids method, which might yield better results. It first chooses the most diverse sample to be a cluster center (medoid), and then sequentially selects centers that are maximally dissimilar to those chosen already. It measures similarity using a variant of the Ochiai index that allows for non-zero values when no species are shared. After choosing the centers, it assigns the remaining samples to the clusters based on the same index. To speed up the computation, swaps are not considered.