Data and code for: Long--term consequences of plant--soil feedback in fire-maintained grasslands and savannas

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Authors: Anonymous
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Abstract

Woody plant encroachment into grasslands and savannas is a global phenomenon with wide-ranging consequences for people and nature, but we lack a comprehensive understanding of its drivers. Various factors can contribute to woody encroachment across ecosystems, but a notable commonality is that transitions from herbaceous to woody vegetation tend to be abrupt and difficult to reverse, suggesting that positive feedbacks play a role. Positive feedbacks are well-studied in the context of vegetation–fire dynamics, but growing evidence points to the potential importance of microbially mediated plant–soil feedbacks in woody plant encroachment. For example, ectomycorrhizal association, which often gives rise to positive feedback, is especially common among woody plants known to encroach into grass-dominated systems, while herbaceous plants tend to accumulate self-limiting microbial communities. To fill this gap, we developed a novel patch occupancy modeling framework for predicting microbial impacts on vegetation dynamics in fire-maintained grasslands and parameterized this model with empirically derived estimates of plant–microbe interactions from global meta-analyses. We find that, in fire-maintained grasslands, empirically measured microbial feedbacks necessitate especially frequent fire to maintain grassy communities. We also show that woody-favoring soil communities increase the duration of fire-based management necessary to recover grassland after encroachment and narrow the conditions under which such recovery is possible. In all, our model points to the overlooked yet consequential role of plant–soil feedbacks in driving changing vegetation patterns in firemaintained grass-dominated systems and the urgent need for empirical data testing this process.Data and code for this manuscript are provided along with a README file.

Fields of Study & Subjects

Fire effects on ecosystems Ecosystem dynamics and resilience Ecology and Vegetation Dynamics Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Document type
Dataset