Hippophae rhamnoides plantation can improve above- and belowground biodiversity and soil multifunctionality in the northeastern mountain ecosystem of Tibetan Plateau
摘要
In the past few decades, a large number of forest vegetation restoration projects have been implemented in the mountain ecosystems of the northeastern Tibetan Plateau. Nevertheless, the impact of forest vegetation restoration on soil multifunctionality and biodiversity remains uncertain. This study aimed to investigate the effects of forest vegetation restoration on the soil multifunctionality and biodiversity.
MethodsIn this study, Hippophae rhamnoides plantation and abandoned grassland reconstructed from abandoned farmland in the northeast of the Tibetan Plateau were selected as the research objects. The differences of soil ecological function, herbaceous biomass and biodiversity were studied, and the community composition and network complexity of soil microbial diversity were analyzed. The relationship between soil characteristics and soil microbial species abundance and functional abundance was explored, and the biological and abiotic factors affecting soil multifunctionality were revealed.
ResultsThe findings indicated that the Hippophae rhamnoides plantation greatly enhanced the soil ecological function, and increased the biodiversity and biomass of herbaceous plants in comparison to abandoned grassland. The Hippophae rhamnoides plantation altered the soil microbial community structure and composition, exhibiting greater complexity in the soil microbial network compared to the abandoned grassland. Soil properties significantly affected the species abundance and functional abundance of soil microorganisms. Biodiversity (vegetation diversity, bacterial diversity and fungal diversity) and soil water content (SWC) had positive effects on soil multifunctionality, while soil pH had negative effects.
ConclusionsThe findings of the study revealed the effects of different vegetation restoration measures on ecosystem function, soil microbial community composition, and network complexity.