Fangliang He ^1,2
1 SYSU-Alberta Joint Lab for Biodiversity Conservation, State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Guangzhou 510275 China
² Department of Renewable Resources, University of Alberta, Edmonton, Alberta, T6G 2H1, Canada
E-mail: fhe@ualberta.ca

Stephen Hubbell ^3,4
3 Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095, USA
⁴ Center for Tropical Forest Science, Smithsonian Tropical Research Institute, Unit 0948, APO AA 34002-0948, Republic of Panama
E-mail: shubbell@eeb.ucla.edu

PointPattern.r (MD5: d2d4e64959a48dff9d7e6e0d538384bc)

The R codes that were used for simulating random, moderately aggregated, and highly aggregated distributions of tree species shown in Fig. 2. The Thomas point process in function “rThomas” in R package spatstat was used to generate the spatial distributions. The abundance of each species in the three simulated forests was the same as the observed abundance in the Pasoh forest in Malaysia. There were 814 species and total of 323 262 stems. The Pasoh abundance data is enclosed below at the end of the program.