Analysing spatio-temporal patterns of non-native fish in a biodiversity hotspot across decades

Aim: Analysing the spatio-temporal patterns and dynamics of non-native species is essential to understanding the mechanisms underlying successful invasions and developing effective management strategies. Yet, such analyses generally neglect the influence of receiving ecosystem types and non-native species sources (i.e. alien species, non-natives originating outside the concerned region; translocated species, nonnatives introduced to locations outside their historical range within the concerned region). 
Location: Yunnan, China.
Methods: We analysed long-term (1950–2022) spatio-temporal patterns and potential underlying dynamics of non-native fishes in a biodiversity hotspot (Yunnan, China), paying special attention to waterbody types receiving non-native species and comparing alien and translocated species. We did this through compiling a highly comprehensive occurrence dataset of native and non-native fishes.
Results: We recorded 783 native species and 94 non-native species (49 alien s..., , , # Analysing spatio-temporal patterns of non-native fish in a biodiversity hotspot across decades

The spreadsheet compilations (yunnan--fish.xlsx) include a list of the underlying data used in this paper: \"Analysing spatio-temporal patterns of non-native fish in a biodiversity hotspot across decades\".

## Description of the data and file structure

Data includes worksheet: \"References\", worksheet: \"Occurrences\", worksheet: \"Clarification\".

In \"References\", this table provides all the reference sources used in this dataset, which are available in both Chinese and English sources.

In \"Occurrences\", here we provide detailed occurrence information for 829 Yunnan fish species, of which the detailed coordinates of endangered species have been converted with the aim of studying them while and promoting their better conservation. Species Endangered class are derived from Chen et al., 2023 (\"Assessing the conservation status of Chinese freshwater fish using deep learning\").

In \"Clarification\"...