2.1 Source and processing of species occurrence data
The geographical occurrence data of T. chinense were obtained by
three methods: (1) Field investigation. An extensive survey was
conducted from May 2018 to July 2022. (2) Network database. The Global
Biodiversity Information Facility (GBIF, https://www.gbif.org), the
Chinese Virtual Herbarium (CVH, http://www.cvh.ac.cn), and the National
Specimen Information Infrastructure (NSII, http://www.nsii.org.cn) and
the Teaching Specimen Resource sharing platform (http://mnh.scu.edu.cn)
have collected geographic location information with precise latitude and
longitude and time range from 2000 to the present. (3) Literature
search. Through the above methods, a total of 271 geographic occurrence
data were obtained. Used Google earth pro software (Google Earth USA) to
reject geographical occurrence data of T. chinense in
construction land, cultivated land, and waters. To further eliminate the
spatial autocorrelation of occurrence data, the ”spThin” package was
used to remove the occurrence data gathered within 10 km (Aiello‐Lammens
et al., 2015). Finally, 174 occurrence data were retained for modeling
(Figure 1).