土壤健康
环境科学
流量(数学)
土壤科学
土壤水分
数学
土壤有机质
几何学
作者
Jingnan Zhang,Shiyu Li,Elly Morriën,Neil B. McLaughlin,Shixiu Zhang
标识
DOI:10.1007/s42832-024-0228-4
摘要
This paper examines the development of ecological indices for soil nematodes from the perspective of functional traits. It emphasizes the increasing significance of integrating multiple functional traits to achieve a more accurate assessment of soil health. Ecological indices based on life history strategies, feeding habits, and body size provide useful tools for assessing soil health. However, these indices do not fully capture the dynamics of energy flow across multiple-trophic levels in the soil food web, which is critical for a deeper understanding of the intrinsic properties of soil health. By combining functional traits such as functional group, body size, feeding preference and metabolic rate, nematode energy flow analyses provide a more comprehensive perspective. This approach establishes a direct correlation between changes in the morphology, physiology, and metabolism of soil organisms and alterations in their habitat environment. We conducted comparative analyses of the sensitivity of nematode metabolic footprints and energy flow to latitudinal variation using a nematode dataset from the northeastern black soil region in China. The findings suggest that energy flow analyses are more sensitive to latitude and have greater potential to reveal soil health and ecosystem function. Therefore, future research should prioritize the development of automated and efficient methods for analyzing nematode traits. This will enhance the application of energy flow analyses in nematode food webs and support the development of sustainable soil management and agricultural practices.
科研通智能强力驱动
Strongly Powered by AbleSci AI