Topological change of soil microbiota networks for forest resilience under global warming

•Forest resilience to soil drought stress under global warming can be retrieved from the soil microbiota.•How internal workings within the soil microbiota change with forest management aimed to maintain forest production is little known due to the lacking of powerful network models.•We describe an advanced network model for reconstructing informative, dynamic, omnidirectional and personalized networks (idopNetworks) from big static data.•idopNetworks reveal the topological structure of the soil microbiota and its causal relationship with soil physical and chemical properties under forest management.•The model can chart the global and detailed atlas of how the soil microbiota change their structure and organization in response to reduced precipitation due to global warming and thinning used to leverage forest resilience. Forest management by thinning can mitigate the detrimental impact of increasing drought caused by global warming. Growing evidence shows that the soil microbiota can coordinate the dynamic relationship between forest functions and drought intensity, but how they function as a cohesive whole remains elusive. We outline a statistical topology model to chart the roadmap of how each microbe acts and interacts with every other microbe to shape the dynamic changes of microbial communities under forest management. To demonstrate its utility, we analyze a soil microbiota data collected from a two-way longitudinal factorial experiment involving three stand densities and three levels of rainfall over a growing season in artificial plantations of a forest tree – larix (Larix kaempferi). We reconstruct the most sophisticated soil microbiota networks that code maximally informative microbial interactions and trace their dynamic trajectories across time, space, and environmental signals. By integrating GLMY homology theory, we dissect the topological architecture of these so-called omnidirectional networks and identify key microbial interaction pathways that play a pivotal role in mediating the structure and function of soil microbial communities. The statistical topological model described provides a systems tool for studying how microbial community assembly alters its structure, function and evolution under climate change.