Determinants of species assemblages of insect pests in alpine forest ecosystems of western China

Abstract Background Insect pests are a significant threat to natural resources and social development. Modeling species assemblages of insect can predict spatiotemporal pest dynamics. However, research gaps remain regarding the mechanism for determining in alpine forest ecosystems. Here, we explored these determinants using field investigation conducted region Qinghai-Tibet Plateau. We assessed ecosystems based on co-occurrence patterns diversity (i.e., observed diversity, dark community completeness, pool). A probabilistic model was used test statistically pairwise presence-absence matrix interactions. ordinary least squares regression modeling explore relationships between abiotic factors climate human influence) diversity. Results Positive interactions many association links occur widely across different sites parts plant hosts detected high low completeness High temperature precipitation could promote particularly pools. Human influence drive levels lead Community be an effective indicator risk assessment. Conclusions Our study provides new evidence from perspectives factors. The findings our reveal shaping support prevention control