Department of Geography and Intercollege Graduate Degree Program in Ecology, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
PLoS One. 2012;7(11):e50597. doi: 10.1371/journal.pone.0050597. Epub 2012 Nov 30.
Stand-replacing fires influence soil nitrogen availability and microbial community composition, which may in turn mediate post-fire successional dynamics and nutrient cycling. However, fires create patchiness at both local and landscape scales and do not result in consistent patterns of ecological dynamics. The objectives of this study were to (1) quantify the spatial structure of microbial communities in forest stands recently affected by stand-replacing fire and (2) determine whether microbial variables aid predictions of in situ net nitrogen mineralization rates in recently burned stands. The study was conducted in lodgepole pine (Pinus contorta var. latifolia) and Engelmann spruce/subalpine fir (Picea engelmannii/Abies lasiocarpa) forest stands that burned during summer 2000 in Greater Yellowstone (Wyoming, USA). Using a fully probabilistic spatial process model and Bayesian kriging, the spatial structure of microbial lipid abundance and fungi-to-bacteria ratios were found to be spatially structured within plots two years following fire (for most plots, autocorrelation range varied from 1.5 to 10.5 m). Congruence of spatial patterns among microbial variables, in situ net N mineralization, and cover variables was evident. Stepwise regression resulted in significant models of in situ net N mineralization and included variables describing fungal and bacterial abundance, although explained variance was low (R²<0.29). Unraveling complex spatial patterns of nutrient cycling and the biotic factors that regulate it remains challenging but is critical for explaining post-fire ecosystem function, especially in Greater Yellowstone, which is projected to experience increased fire frequencies by mid 21(st) Century.
取代林火影响土壤氮素有效性和微生物群落组成,而后者可能反过来调控林火后演替动态和养分循环。然而,火在局地和景观尺度上造成斑块化,而不会导致一致的生态动态模式。本研究的目的是:(1)量化最近受林火影响的林分中微生物群落的空间结构;(2)确定微生物变量是否有助于预测最近火烧林分内的原位净氮矿化速率。该研究在大分水岭(美国怀俄明州)的 2000 年夏季林火中受影响的黑云杉(Pinus contorta var. latifolia)和恩格尔曼云杉/亚高山冷杉林(Picea engelmannii/Abies lasiocarpa)林分内进行。利用完全概率空间过程模型和贝叶斯克里金法,发现微生物脂类丰度和真菌与细菌比率的空间结构在火烧后两年的样地内具有空间结构(对于大多数样地,自相关范围从 1.5 到 10.5 米不等)。微生物变量、原位净氮矿化和覆盖变量之间的空间模式一致性明显。逐步回归产生了原位净氮矿化的显著模型,包括描述真菌和细菌丰度的变量,尽管解释方差较低(R²<0.29)。揭示养分循环的复杂空间模式和调控其的生物因素仍然具有挑战性,但对于解释火烧后生态系统功能至关重要,特别是在大分水岭,预计到 21 世纪中叶,其火灾频率将增加。