Above- and belowground succession following multiple-tree mortality in Pinus densiflora forests
Seung–Jae Lee, Ah–Rim Lee, Dong–Seok Son, Dong–Bin Shin, Seok Hui Lee, Yeong-Eun Kim, Jun Won Kang, Seung–Hwan Oh

TL;DR
This study explores how tree death affects both the visible forest and hidden soil microbes, showing that specific microbes are key to tree health and recovery.
Contribution
The study integrates above- and below-ground processes to identify microbial indicators of tree health and recovery in Pinus densiflora forests.
Findings
Understory changes were subtle, but snag collapse 15 years post-mortality promoted P. densiflora regeneration.
Rhizosphere microbial α-diversity was lower in healthy trees compared to declining and dead trees.
Fungal networks in declining stands were denser and less modular, while older mortality sites resembled healthy stands.
Abstract
Climate-driven tree mortality impacts forest ecosystems, yet studies rarely integrate above- and below-ground processes. Consequently, the temporal dynamics of rhizosphere microbial communities following mortality and their link to vegetation changes remain unclear. This study examined coupled shifts in species composition and rhizosphere microbial communities following multiple-tree mortality events in Pinus densiflora stands. We employed a chronosequence approach by reconstructing tree mortality timing and analyzing temporal changes in above-ground species composition alongside rhizosphere microbial diversity. Random Forest (RF) traced microbial community transitions from healthy to declining and dead trees, identifying core genera indicative of tree health, followed by an analysis of co-occurrence network dynamics along the health–decline–mortality sequence. As a result of this…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsForest Ecology and Biodiversity Studies · Tree-ring climate responses · Ecology and Vegetation Dynamics Studies
