Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland.
PLoS One. 2013 Aug 7;8(8):e71454. doi: 10.1371/journal.pone.0071454. Print 2013.
Agriculture is one of the largest contributors of the anthropogenic greenhouse gases (GHGs) responsible for global warming. Measurements of gas fluxes from dung pats suggest that dung is a source of GHGs, but whether these emissions are modified by arthropods has not been studied. A closed chamber system was used to measure the fluxes of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) from dung pats with and without dung beetles on a grass sward. The presence of dung beetles significantly affected the fluxes of GHGs from dung pats. Most importantly, fresh dung pats emitted higher amounts of CO2 and lower amounts of CH4 per day in the presence than absence of beetles. Emissions of N2O showed a distinct peak three weeks after the start of the experiment--a pattern detected only in the presence of beetles. When summed over the main grazing season (June-July), total emissions of CH4 proved significantly lower, and total emissions of N2O significantly higher in the presence than absence of beetles. While clearly conditional on the experimental conditions, the patterns observed here reveal a potential impact of dung beetles on gas fluxes realized at a small spatial scale, and thereby suggest that arthropods may have an overall effect on gas fluxes from agriculture. Dissecting the exact mechanisms behind these effects, mapping out the range of conditions under which they occur, and quantifying effect sizes under variable environmental conditions emerge as key priorities for further research.
农业是人为温室气体(GHGs)的最大贡献者之一,这些气体导致了全球变暖。对粪斑气体通量的测量表明,粪便也是温室气体的来源,但这些排放是否被节肢动物改变尚未得到研究。本研究使用封闭室系统来测量草地草皮上有和没有蜣螂的粪斑中二氧化碳(CO2)、甲烷(CH4)和氧化亚氮(N2O)的通量。蜣螂的存在显著影响了粪斑中温室气体的通量。最重要的是,有蜣螂存在时,新鲜粪斑每天排放的 CO2 量更高,CH4 量更低。N2O 的排放在实验开始三周后出现明显的峰值,这种模式仅在有蜣螂存在时检测到。在主要放牧季节(6 月至 7 月)内,CH4 的总排放量明显较低,而 N2O 的总排放量明显较高。虽然这些模式明显取决于实验条件,但这里观察到的模式揭示了蜣螂对小空间尺度上气体通量的潜在影响,这表明节肢动物可能对农业气体通量产生总体影响。剖析这些影响背后的确切机制,描绘出它们发生的条件范围,并在可变环境条件下量化效应大小,这些都成为进一步研究的关键优先事项。