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Data · dataset · 2026

A global forest ecosystem database of tree growth and leaf herbivory across different mycorrhizal types

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The dynamic trade-offs between plant growth and anti-herbivore defenses are fundamentally governed by aboveground-belowground linkages in forest ecosystems.

Description

Different mycorrhizal types of dominant trees differentially modulate host nutrient acquisition strategies, thereby profoundly influencing the relative growth rates (RGR) of trees and leaf susceptibility to herbivory. To elucidate the macroecological linkages among tree mycorrhizal types, plant growth strategies, and anti-herbivore defenses, this study constructed a database linking leaf herbivory and RGR of trees across diverse forest biomes, focusing on the two most common mycorrhizal types arbuscular mycorrhiza (AM) and ectomycorrhiza (ECM)—in nature.

[Methods] On the basis of the datasets compiled by Li et al., 7 articles matching our research theme, and 61 studies from the TRY database, we systematically integrated and standardized empirical data to establish a database of tree growth and leaf herbivory across distinct mycorrhizal types at both individual and species levels. For species-level data, we aggregated the records by calculating the mean values for each variable per species within a single plot, and subsequently categorized by mycorrhizal type.

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The entire data processing workflow underwent rigorous quality control procedures, including multi-stage mycorrhizal type verification and data format standardization. [Results] The finalized database comprises 8 004 standardized records. The core data table encompasses 15 key variables, including the Latin names of 131 tree species, associated biodiversity experimental sites, mycorrhizal types (AM and ECM), leaf herbivory rates, RGR, and tree species richness.

[Conclusion] This database provides a standardized empirical foundation for exploring the complex relationships among mycorrhizal types, tree growth, and insect herbivory. It establishes a robust data baseline for cross-site evaluations of how neighboring tree diversity and environmental factors jointly influence forest resistance to insects, serving as a practical data resource for regional forest ecology studies and trait-based plantation management.

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Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00231.0007311 d agoJSON v1
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