Abstract:

Aims: This study aims to conduct field investigations and specimen collection in order to systematically clarify the species composition, taxonomic characteristics, resource value and endangered status of the macrofungi in the Jiulianshan National Nature Reserve (hereinafter referred to as “Jiulianshan”). 

Methods: 737 macrofungal specimens were obtained in total from 2023 to 2025 in Jiulianshan using line transect and random survey methods. Species identification was conducted based on molecular phylogenetic evidence and morphological characteristics. 

Results: A total of 215 species of macrofungi were identified, and they belong to 2 phyla, 6 classes, 17 orders, 64 families, 123 genera. Among them, 3 classes, 4 orders, 7 families, 8 genera and 11 species are ascomycetes, while 3 classes, 13 orders, 57 families, 115 genera and 204 species are basidiomycetes. Six species are new records in Jiangxi. The dominant families include Polyporaceae, Omphalotaceae, Psathyrellaceae and Russulaceae, with 61 species, accounting for 28.37% of the total species. The 9 dominant genera include Gymnopus, Pluteus, Russula and Mycena, which comprise 56 species accounting for 26.05% of the total species. The subtropical evergreen broad-leaved forest is the dominant vegetation type where macrofungi grow, and the main nutritional type is lignicolous. The resource evaluation showed that 29 species were edible fungi, 32 species medicinal fungi, 33 species of edible-medicinal fungi and 33 species poisonous fungi. Threat status analysis revealed that one species was categorized as Near Threatened, accounting for 0.46% of the total species, and no Vulnerable, Endangered or Critically Endangered species were recognized. 

Conclusions: The study reveals the current status of macrofungal diversity in Jiulianshan National Nature Reserve, which provide fundamental data support for further investigations of macrofungi, ecological protection and resource utilization in the area.

Key words: macrofungi, species diversity, Jiulianshan, resource evaluation