Li Lingling, Xue Bin
School of Geography Science, Jiangsu Second Normal University, Nanjing, China.
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.
Heliyon. 2023 Jul 21;9(8):e18411. doi: 10.1016/j.heliyon.2023.e18411. eCollection 2023 Aug.
Many previous studies have found spatial and seasonal variabilities in CH fluxes, which could significantly affect lake-wide CH budgets. However, the ways in which the spatial and seasonal patterns of CH fluxes vary among lakes on a global scale is largely unknown. We compiled literature on CH flux data from global lakes and analyzed the spatial and seasonal variabilities for lakes varying in latitude, maximum depth, and area. Spatially, we found a significant linear relationship between the ratio of littoral to profundal fluxes and lake morphology (more related to area than depth), while globally, half of the lakes would have within 5% error of CH emission estimation under single-zone sampling. Seasonally, mid-latitude lakes showed higher CH fluxes in the summer and autumn, indicating the influence of temperature and autumn overturn, and the latter being largely related to maximum depth. Globally, due to abundant shallow lakes in the mid-latitude zone, approximately 99% of lakes had higher fluxes in the summer, while 75% of lakes showed errors in CH emission estimation within 20% when only the summer flux was investigated. In the high-latitude lakes, CH evasion during the spring ice-off period was significantly correlated with lake maximum depth, while lake area was also important when analyzing the CH diffusive flux. Our study yields preliminary conclusions about spatial and seasonal patterns of CH flux in different lake types, which are fundamental to building an effective sampling strategy and to determining an accurate CH budget from global lakes.
许多先前的研究已经发现甲烷通量存在空间和季节变异性,这可能会显著影响整个湖泊的甲烷收支。然而,在全球范围内,甲烷通量的空间和季节模式在不同湖泊之间如何变化在很大程度上尚不清楚。我们收集了全球湖泊甲烷通量数据的文献,并分析了不同纬度、最大深度和面积的湖泊的空间和季节变异性。在空间上,我们发现沿岸通量与深层通量的比值与湖泊形态(更多地与面积而非深度相关)之间存在显著的线性关系,而在全球范围内,单区域采样下一半的湖泊甲烷排放估算误差在5%以内。在季节上,中纬度湖泊在夏季和秋季显示出较高的甲烷通量,这表明温度和秋季水体翻转的影响,而后者在很大程度上与最大深度有关。在全球范围内,由于中纬度地区有大量浅湖,约99%的湖泊在夏季通量较高,而仅调查夏季通量时,75%的湖泊甲烷排放估算误差在20%以内。在高纬度湖泊中,春季融冰期的甲烷逸出与湖泊最大深度显著相关,而在分析甲烷扩散通量时湖泊面积也很重要。我们的研究得出了关于不同湖泊类型甲烷通量空间和季节模式的初步结论,这对于构建有效的采样策略以及确定全球湖泊准确的甲烷收支至关重要。