Coleopterous predators in the zones of Gomilshanski lisy National Nature Park with different management regimes

Autorzy

• Valentyna Meshkova 1 Ukrainian Research Institute of Forestry and Forest Melioration named after G.M. Vysotsky
  Kharkiv, Ukraine
  2 State Biotechnological University
  Kharkiv, Ukraine
  e-mail: Valentynameshkova@gmail.com
• Yuriy Skrylnyk Ukrainian Research Institute of Forestry and Forest Melioration named after G.M. Vysotsky
  Kharkiv, Ukraine
• Yana Koshelyaeva State Biotechnological University
  Kharkiv, Ukraine
• Maxim Bieliavtsev Gomilshanski lisy National Nature Park, Kharkiv region, Ukraine
• Tetiana Markina H.S. Skovoroda Kharkiv National Pedagogical University
  Kharkiv, Ukraine

Abstract

The purpose of this research was to assess the species composition and biodiversity of predatory beetles collected in Gomilshanski lisy National Nature Park, depending on management regimes and anthropogenic loading. Four window traps were placed in each of the five groups of sample plots: clear felling, selective sanitary felling, statio-nary recreation, regulated recreation, and protected zone. The dominance of each predator species (relative D), frequency of occurrence (F), the Synthetic index (Q), the Shannon Diversity Index (H), and the Sörensen-Czekanowski index (Csc) were evaluated. A total of 36 species of predatory beetles from 24 genera and 10 fami-lies were caught. Predatory species richness was the highest in the protected zone and the lowest in the clear fel-ling plot. In the pooled sample of predatory beetles, two species (Cl. mutillarius and P. flavicornis) are dominant (5.6%), eight species (22.2%) are subdominant, nine species (25%) are recedents, and 17 species (47.2%) are su-brecedents. The greatest dissimilarity by frequency of predatory beetle occurrence (F) was found between the sam-ple plot of clear felling and the rest of the sample plots and zones, while the synthetic index (Q) confirmed the gre-atest dissimilarity between the protected zone and the rest of the sample plots and zones. The data obtained will help predict possible negative consequences for biodiversity and forest health and take preventive measures.

Keywords

• predatory beetles
• window traps
• protected areas
• biodiversity
• forest management