Stage-specific microbial dynamics underpin ecosystem restoration on tropical coral islands
Peer-Reviewed Publication
Updates every hour. Last Updated: 16-Apr-2026 20:16 ET (17-Apr-2026 00:16 GMT/UTC)
The ecosystem of tropical coral islands is relatively isolated, characterized by harsh environmental conditions. It is frequently subjected to climatic stressors such as high temperatures, intense solar radiation, high salinity, and seasonal drought.
Soil microbial communities play a crucial role in maintaining multiple soil functions in terrestrial ecosystems. However, evidence linking soil microbial communities to soil multifunctionality under warming and precipitation changes remains limited. This study shows that the combined effects of warming and increased precipitation can markedly weaken soil multifunctionality in semi-arid grasslands, primarily by intensifying competition between bacteria and fungi. The researchers’ finding appeared October 28, 2025 in Soil Ecology Letters.Soil microbial communities play a crucial role in maintaining multiple soil functions in terrestrial ecosystems. However, evidence linking soil microbial communities to soil multifunctionality under warming and precipitation changes remains limited. This study shows that the combined effects of warming and increased precipitation can markedly weaken soil multifunctionality in semi-arid grasslands, primarily by intensifying competition between bacteria and fungi. The researchers’ finding appeared October 28, 2025 in Soil Ecology Letters.
In the critical habitat of the giant panda, livestock grazing is reshaping the invisible yet vital world of soil microbes in an unexpected way. A new study reveals that while grazing alters soil properties, it paradoxically leads to an increase in soil bacterial diversity. Meanwhile, grazing disrupts the competitive hierarchy of the fungal kingdom, triggering a community shift from the singular dominance of Basidiomycota to a co-dominance structure with Ascomycota.
Antibiotic resistance genes (ARGs) are emerging contaminants that are widely distributed in agricultural soils and pose potential threats to human health through the soil‒plant system.
One of the most critical studies on microbial ecology is to reveal microbial turnover patterns along spatial, temporal, or environmental gradients. In such studies, it is often necessary to select appropriate statistical methods based on the experimental design, especially when considering random effects. However, there are few tools that can be readily applied to such cases. In this study, we present a mecoturn R package, designed to support various statistical analyses of microbial turnover along gradients. The researchers’ study appeared 06 October, 2025 in Soil Ecology Letters.
A groundbreaking study published in Soil Ecology Letters unveils a novel deep learning method to rapidly and accurately identify soil-dwelling Collembola (springtails), tiny arthropods critical for soil health and ecosystem functioning. Developed by an international team led by researchers from Sun Yat-sen University and the Chinese Academy of Sciences, this AI-powered tool achieves over 97% accuracy in detecting these organisms, offering a transformative solution for biodiversity monitoring and environmental assessment.