Abstract
Climate change has increased drought frequency and duration that are exacerbated by increased temperatures globally.This effect has,and will continue,to increase fire occurrence across many regions of North America.In the southern Appalachian Mountains,wildfires with high burn severity occurred in 2016 due to increased drought and human activity.To investigate the effects of bum severity on soil physicochemical properties,microbial extracellular enzyme production,and microbial abundances in a temperate region,surface soils(0-15 cm)were collected from two sites(the Great Smoky Mountains National Park in Tennessee and the Nantahala National Forest in North Carolina,USA)spanning lightly,moderately,and severely burned areas,accompanied by adjacent unburned locations that act as controls.The soil samples were collected at three time points between 2017 and 2019(i.e.,0.5,1,and 2.5 years post-fire)among burn severity plots.Total hydrolytic enzyme production varied over time,with severe burn plots having significantly lower enzyme production at 2.5 years post-fire.Individual enzymes varied among burn severities and across time post-fire.Light burn plots showed greater carbon-specific(β-glucosidase and β-xylosidase)and phosphorus-specific(acid phosphatase)enzyme activities at 0.5 years post-fire,but this effect was transient.At 2.5 years post-fire,theβ-xylosidase and acid phosphatase activities were lower in severe or moderate burn plots relative to the controls.In contrast,the activity of nitrogen-specific enzyme leucyl aminopeptidase was the lowest in severe burn plots at 0.5 years post-fire,but was the lowest in light burn plots at 2.5 years post-fire.The fungi:bacteria ratio declined with burn severity,indicating that fungi are sensitive or less resilient to high burn severity during recovery.These results suggest that wildfires alter trajectories for soil microbial structure and function within a 2.5-year timeframe,which potentially has long-term impacts on biogeochemical cycling.
基金项目
2017 Highlands Biological Station Grantin-Aide()
University of Texas at San Antonio()
University of Memphis()
NETL
NSTL
万方数据