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Updated: Jan 13, 2026

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
Published on: March 13, 2014
Soil Microbes Mediate Productivity Differences Between Natural and Plantation Forests
Xing Zhang1, Mengya Yang2, Yangyang Liu3
1College of Ecology and Environment, Xinjiang University, Urumqi 830046, China.
Abstract:
While climate is known to regulate forest productivity, the mechanistic contribution of soil microbial communities-and whether it differs between natural and plantation forests-remains poorly quantified at broad scales. Here, we provide a synthesis-level, unified analysis that jointly evaluates climate, edaphic conditions, and soil microbes to compare mechanistic pathways underlying productivity divergence between forest types. We synthesized 237 observations across China and integrated productivity metrics-gross primary productivity (GPP) and net primary productivity (NPP)-with microbial diversity, dominant taxa, and soil drivers to compare natural and plantation forests within the current environmental coverage. Plantation productivity showed nonlinear responses to microbial diversity and appeared more sensitive than natural forests. Natural forests exhibited higher bacterial Shannon and Chao1 but lower fungal Chao1 and were characterized by taxa such as Nitrobacter, Bradyrhizobium, and Cortinarius. In contrast, plantations were characterized by taxa often associated with disturbance tolerance and opportunistic life-history strategies (e.g., Sphingomonas, Fusarium, Gemmatimonas), consistent with potential functional simplification. Structural equation models identified climate as the strongest correlate of productivity, while soil properties showed contrasting associations with microbial diversity across forest types. Random forest models further highlighted cation-exchange capacity and total nitrogen as key predictors of microbial diversity in plantations. Overall, our results indicate that soil microbial communities are differentially associated with forest productivity across forest types and environmental contexts and underscore the need for future climate-comparable designs and management-intensity information to more robustly isolate microbial contributions.
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