Published May 13, 2022 | Version v1
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Watershed and fire severity are stronger determinants of soil chemistry and microbiomes than within-watershed woody encroachment in a tallgrass prairie system

  • 1. University of Tennessee

Description

Fire can impact terrestrial ecosystems by changing abiotic and biotic conditions. Short fire intervals maintain grasslands and communities adapted to frequent, low-severity fires. Shrub encroachment that follows longer fire intervals accumulates fuel and can increase fire severity. This patchily distributed biomass creates mosaics of burn severities in the landscape—pyrodiversity. Afforded by a scheduled burn of a watershed protected from fires for 27 years, we investigated effects of woody encroachment and burn severity on soil chemistry and soil-inhabiting bacteria and fungi. We compared soils before and after fire within the fire-protected, shrub-encroached watershed and soils in an adjacent, annually burned and non-encroached watershed. Organic matter and nutrients accumulated in the fire-protected watershed but responded less to woody encroachment within the encroached watershed. Bioavailable nitrogen and phosphorus and fungal and bacterial communities responded to high-severity burn regardless of encroachment. Low-severity fire effects on soil nutrients differed, increased bacterial but decreased fungal diversity and effects of woody encroachment within the encroached watershed were minimal. High-severity burns in the fire-protected watershed led to a novel soil system state distinct from non-encroached and encroached soil systems. We conclude that severe fires may open grassland restoration opportunities to manipulate soil chemistry and microbial communities in shrub-encroached habitats.

Notes

Datasets - one is for bacteria (KonzaFire_Bacteria_1_23_20) and one for fungi (KonzaFire1_10_20). One .R file with annotations, #s, and notes on data filtering, etc. The other datasets include partitioned data that is amenable to corresponding R code and functions that require manipulation of format/organization of data (descriptions of use is described in annotations in R code).

Three samples in the fungal dataset (T032tag6030.KNZFIRE; T000tag6050.KNZFIRE; T032tag6050.KNZFIRE) were mismanaged and contaminated during analysis and are therefore missing rows in the fungal dataset.

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Additional details

Related works

Is cited by
10.1093/femsec/fiab154 (DOI)
Is source of
10.5061/dryad.83bk3j9pj (DOI)