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首页> 外文期刊>Ecosystems >Boreal Forest Floor Greenhouse Gas Emissions Across a Pleurozium schreberi-Dominated, Wildfire-Disturbed Chronosequence
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Boreal Forest Floor Greenhouse Gas Emissions Across a Pleurozium schreberi-Dominated, Wildfire-Disturbed Chronosequence

机译：北方森林地板温室气体排放脉冲舒尔伯利主导，野火不安的计时静脉

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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 a Pleurozium 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 that P. 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.
机译：北方森林是一个全球循环循环生物群落。它的森林由野火事件塑造，影响生态系统性质和气候反馈，包括温室气体（GHG）排放。需要改进对北方林板工艺的理解，以预测预期的燃烧，严重程度和程度增加的影响。在这项研究中，我们在瑞典北部地区前后脑后血腥施赘的时间沿着胸腔舒伯伯伯基统治的一致性（CO2，CH4，N2O）以来，我们检查了自上次野火（TSF），森林土壤性质和温室气体排放（CO2，CH4，N2O）之间的关系。在2012 - 2014年的三季超过三季，GHG通量测量是原位制造的，并收集样品进行实验室分析。我们预测，P. Schreberi覆盖的森林地板GHG助气氛与沿野火计量性的土壤性质和微生物群落中的明显趋势有关。虽然我们发现TSF对温室气体排放的总体效果，但有证据表明，少数几个属性的土壤C / N有时呈现出趋势，与生态系统呼吸相反。我们还发现，局部小跨界条件和位点依赖性属性比TSF更好地预测GHG助焊剂。这表明，需要考虑网站依赖性共变量（即森林地板气候和植物 - 土壤属性），以便在野火变得更加频繁，广泛和严重的情况下预测温室气体排放。

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