Boreal Forest Floor Greenhouse Gas Emissions Across a Pleurozium schreberi-Dominated, Wildfire-Disturbed Chronosequence
Boreal Forest Floor Greenhouse Gas Emissions Across a Pleurozium schreberi-Dominated, Wildfire-Disturbed Chronosequence
复制标题
DOI：
10.1007/s10021-019-00344-2
复制
发表时间：
2019-02
期刊：
影响因子：
3.7
通讯作者：
Kelly E. Mason;S. Oakley;L. Street;M. Arróniz-Crespo;David L. Jones;T. DeLuca;N. Ostle
中科院分区：
文献类型：
--
作者：
Kelly E. Mason;S. Oakley;L. Street;M. Arróniz-Crespo;David L. Jones;T. DeLuca;N. Ostle
北方森林是全球碳循环的关键生物群落。其森林受到野火事件的影响，影响生态系统特性和气候反馈，包括温室气体（GHG）排放。需要更好地了解北方森林地面过程，以预测火灾频率、严重程度和范围预期增加的影响。在这项研究中，我们研究了自上次野火（TSF），森林地面土壤性质，和温室气体排放量（CO2，CH 4，N2 O）沿着aPleurozium schreberi为主的时序在中晚期位于瑞典北方的继承之间的关系。在2012-2014年的三个生长季节中，对温室气体通量进行了实地测量，并收集了样品进行实验室分析。我们预测P. schreberi覆盖的森林地面温室气体通量将与不同的趋势，土壤性质和微生物群落沿着野火时序。虽然我们没有发现TSF对温室气体排放的总体影响，但有证据表明，土壤C/N，随着时间的推移显示出趋势的少数属性之一，与生态系统呼吸呈负相关。我们还发现，当地小气候条件和场地相关属性比TSF更能预测温室气体通量。这表明，随着野火变得更加频繁、广泛和严重，需要考虑与地点有关的协变量（即森林地面气候和植物土壤特性）以及TSF来预测温室气体排放。
The boreal forest is a globally critical biome for carbon cycling. Its forests are shaped by wildfire events that affect ecosystem properties and climate feedbacks including greenhouse gas (GHG) emissions. Improved understanding of boreal forest floor processes is needed to predict the impacts of anticipated increases in fire frequency, severity, and extent. In this study, we examined relationships between time since last wildfire (TSF), forest floor soil properties, and GHG emissions (CO2, CH4, N2O) along aPleurozium schreberi-dominated chronosequence in mid- to late succession located in northern Sweden. Over three growing seasons in 2012–2014, GHG flux measurements were made in situ and samples were collected for laboratory analyses. We predicted thatP. schreberi-covered forest floor GHG fluxes would be related to distinct trends in the soil properties and microbial community along the wildfire chronosequence. Although we found no overall effect of TSF on GHG emissions, there was evidence that soil C/N, one of the few properties to show a trend with time, was inversely linked to ecosystem respiration. We also found that local microclimatic conditions and site-dependent properties were better predictors of GHG fluxes than TSF. This shows that site-dependent co-variables (that is, forest floor climate and plant-soil properties) need to be considered as well as TSF to predict GHG emissions as wildfires become more frequent, extensive and severe.