{Reference Type}: Journal Article
{Title}: Post-Fire Coleoptera Fauna in Central Russian Forests after the 2021 Fires (Study Using Beer Traps).
{Author}: Egorov LV;Ruchin AB;Fayzulin AI;
{Journal}: Insects
{Volume}: 15
{Issue}: 6
{Year}: 2024 Jun 5
{Factor}: 3.139
{DOI}: 10.3390/insects15060420
{Abstract}: Fires can significantly impact forest ecosystems. However, studies on the effects of fires on insect communities in post-fire plots in natural forests are rare. This study presents an analysis of the Coleoptera fauna in the forests of the Mordovia State Nature Reserve (European Russia) in 2022 and 2023 after a fire. Insects were sampled from burned plots (9) in 2010 and 2021, as well as unburned (control) plots (2), and alpha diversity was compared. After processing the material, we examined a total of 12,218 Coleoptera specimens from 38 families and identified 194 species. The families Nitidulidae, Cerambycidae, Elateridae, and Scarabaeidae were the most abundant across all plots. Cerambycidae, Elateridae, Nitidulidae, Staphylinidae, Coccinellidae, and Scarabaeidae exhibited the greatest species diversity. In total, 17 species were found on all plots, including Cetonia aurata, Protaetia cuprea volhyniensis, Trogoderma glabrum, Carpophilus hemipterus, Epuraea biguttata, Glischrochilus grandis, Glischrochilus hortensis, Glischrochilus quadripunctatus, Soronia grisea, Pediacus depressus, Chrysanthia geniculata, Anastrangalia reyi, Leptura quadrifasciata, Leptura thoracica, Lepturalia nigripes, Rhagium mordax, and Anisandrus dispar. Only five species exhibited preferences for certain plots. Maximum abundance and species diversity were observed on unburned (control) plots. The plots where fires occurred in 2010 and 2021 had the lowest total abundance values for Coleoptera. These fires destroyed almost all potential sites for beetle settlement, feeding, breeding, and shelter. Traps recorded a higher abundance of Coleoptera in the first year after fires compared to the second year. The Coleoptera fauna showed the greatest similarity on the control plots.