2015
DOI: 10.1016/j.foreco.2015.02.020
|View full text |Cite
|
Sign up to set email alerts
|

Soil fungal communities respond compositionally to recurring frequent prescribed burning in a managed southeastern US forest ecosystem

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

6
64
0
3

Year Published

2015
2015
2024
2024

Publication Types

Select...
6
2

Relationship

5
3

Authors

Journals

citations
Cited by 94 publications
(73 citation statements)
references
References 64 publications
(92 reference statements)
6
64
0
3
Order By: Relevance
“…For example, genes in subcluster 2 (135 genes) were observed at the 60y and 152y sites only. Genes in this subcluster mainly encode proteins in the following functional categories: iron transport (26 genes) and degradation of lignin (20), cellulose (18), pectin (14), and chitin (10). Genes in subcluster 4 (107 genes) that represent functions similar to those in subcluster 2 were absent at the 152y site only.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, genes in subcluster 2 (135 genes) were observed at the 60y and 152y sites only. Genes in this subcluster mainly encode proteins in the following functional categories: iron transport (26 genes) and degradation of lignin (20), cellulose (18), pectin (14), and chitin (10). Genes in subcluster 4 (107 genes) that represent functions similar to those in subcluster 2 were absent at the 152y site only.…”
Section: Resultsmentioning
confidence: 99%
“…Fire can also lead to significant losses in fungal biomass in organic horizons (18). The microbial community responses to reoccurring low-intensity prescribed burning have been reported to be minimal unless fires are implemented at high frequency (2-to 3-year intervals) (19,20). However, only a few studies have investigated whether these changes in the microbial community persist over long periods of time.…”
mentioning
confidence: 99%
“…Based on our comparison of recently burned and unburned plots, we expect that significant postfire reorganization ( sensu Schmidt et al ., ) of fungal communities occurs within 1–2 yr after fire in pine savannas. By contrast, wildfire studies indicate that transitions of fungal communities from ‘burned’ to ‘unburned’ states can take more than a decade (Dooley & Treseder, ; Holden et al ., ; Oliver et al ., ). Decomposition data here indicate that fire effects on microbial decomposition may be important, albeit transient, compared with fire regime impacts through litter stoichiometry (Ficken & Wright, ; Butler et al ., ).…”
Section: Discussionmentioning
confidence: 97%
“…Locations near or away from pines and in litter or soil substrates may result in compositionally different fungal communities that, in turn, are differentially reorganized by fire. For example, fire intensity increases with greater density of pine needles (Ellair & Platt, ; Platt et al ., ), so fungal communities in the vicinity of pines may be altered by fire more than communities away from pines are. Postfire shifts in fungal communities should be tied to fire‐induced shifts in soil properties and vegetation, as suggested by prior studies in similar systems (Hart et al ., ; Ponder et al ., ; Oliver et al ., ). For example, fungal taxa associated with flammable plants favoured by fire ( sensu Gagnon et al ., ) might respond positively to fire, whereas fungi associated with less‐resistant plant hosts may decline ( sensu Platt et al ., ).…”
Section: Introductionmentioning
confidence: 99%
“…To do this, proofreading and non-proofreading thermostable hot start polymerases from the same manufacturer were compared, and whether the proofreading enzyme would minimize potentially erroneous sequences resulting from PCR errors in complex environmental templates was examined. 24 experimental units from a long-term experiment, that was designed to evaluate the effects of prescribed fires on ecosystem properties (see Brown et al, 2013;Oliver et al, 2015), were used. Each sample was amplified in triplicate with each of the two polymerases in a two-step PCR reaction (Berry et al, 2011) to generate comparable NGS data.…”
mentioning
confidence: 99%