Claim · model-written summary
Climate was the strongest correlate of forest productivity in structural equation models.
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorDirectionValue
Verbatim
e0“Structural equation models identified climate as the strongest correlate of productivity, while soil properties showed contrasting associations with microbial diversity across forest types.”
Title
Soil Microbes Mediate Productivity Differences Between Natural and Plantation Forests
Xing Zhang; Mengya Yang; Yangyang Liu; et al. Plants 2025. doi:10.3390/plants15010098
Other claims from this paper (12)
- Association Plantation productivity responded nonlinearly to microbial diversity and appeared more sensitive than natural forests.
- Observation Natural forests had higher bacterial Shannon and Chao1 diversity.
- Observation Natural forests had lower fungal Chao1 diversity.
- Observation Natural forests were characterized by Nitrobacter.
- Observation Natural forests were characterized by Bradyrhizobium.
- Observation Natural forests were characterized by Cortinarius.
- Observation Plantations were characterized by Sphingomonas, a taxon associated with disturbance tolerance and opportunistic strategies.
- Observation Plantations were characterized by Fusarium, a taxon associated with disturbance tolerance and opportunistic strategies.
- Observation Plantations were characterized by Gemmatimonas, a taxon associated with disturbance tolerance and opportunistic strategies.
- Association Soil properties had contrasting associations with microbial diversity across forest types.
- Association Cation-exchange capacity and total nitrogen were key predictors of microbial diversity in plantations.
- Recommendation The authors recommend climate-comparable designs and management-intensity information to isolate microbial contributions to forest productivity.