Long-Term Patterns in Forest Soil CO2 Flux in a Pacific Northwest Temperate Rainforest

IF 2.4 2区 农林科学 Q1 FORESTRY Forests Pub Date : 2024-01-12 DOI:10.3390/f15010161
Dylan G. Fischer, Zoe R. Chamberlain, Claire E. Cook, Randall Adam Martin, Liam O. Mueller
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Abstract

Soil CO2 efflux (Fs) plays an important role in forest carbon cycling yet estimates of Fs can remain unconstrained in many systems due to the difficulty in measuring Fs over long time scales in natural systems. It is important to quantify seasonal patterns in Fs through long-term datasets because individual years may show patterns that are not reflective of long-term averages. Additionally, determining predictability of net patterns in soil carbon flux based on environmental factors, such as moisture and temperature, is critical for appropriately modeling forest carbon flux. Ecosystems in moderate climates may have strong CO2 efflux even during winter, and so continuous quantification of annual variability is especially important. Here, we used a 2008–2023 dataset in a lowland temperate forest ecosystem to address two main questions: (1) What are the seasonal patterns in Fs in a highly productive temperate rainforest? (2) How is average Fs across our study area predicted by average coincident temperature, soil moisture and precipitation totals? Data showed clear seasonality where Fs values are higher in summer. We also find Fs across our measurement network was predicted by variation in abiotic factors, but the interaction between precipitation/moisture and temperature resulted in greater complexity. Specifically, in spring a relatively strong relationship between air temperature and Fs was present, while in summer the relationship between temperature and Fs was flat. Winter and autumn seasons showed weak positive relationships. Meanwhile, a negative relationship between precipitation and Fs was present in only some seasons because most precipitation falls outside the normal growing season in our study system. Our data help constrain estimates of soil CO2 fluxes in a temperate rainforest ecosystem at ~14–20 kg C ha−1 day−1 in summer and autumn, and 6.5–10.5 kg C ha−1 day−1 in winter and spring seasons. Together, estimates suggest this highly productive temperate rainforest has annual soil-to-atmosphere fluxes of CO2 that amount to greater than 4.5 Mg C ha−1 year−1. Sensitivity of such fluxes to regional climate change will depend on the balance of Fs determined by autotrophic phenological responses versus heterotrophic temperature and moisture sensitivity. Relatively strong seasonal variation coupled with comparatively weak responses to abiotic variables suggest Fs may be driven largely by seasonal trends in autotrophic respiration. Accordingly, plant and tree responses to climate may have a stronger effect on Fs in the context of climate change than temperature or moisture changes alone.
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西北太平洋温带雨林森林土壤二氧化碳通量的长期模式
土壤二氧化碳外流(Fs)在森林碳循环中发挥着重要作用,但由于在自然系统中长期测量 Fs 存在困难,因此在许多系统中对 Fs 的估算仍然不受限制。通过长期数据集量化 Fs 的季节性模式非常重要,因为个别年份可能显示出与长期平均值不符的模式。此外,确定基于环境因素(如湿度和温度)的土壤碳通量净模式的可预测性,对于适当模拟森林碳通量至关重要。气候温和的生态系统即使在冬季也可能有很强的二氧化碳外流,因此持续量化年度变化尤为重要。在此,我们利用一个低地温带森林生态系统 2008-2023 年的数据集来解决两个主要问题:(1)高产温带雨林中 Fs 的季节模式是什么?(2)平均气温、土壤水分和降水总量如何预测整个研究区域的平均 Fs?数据显示,Fs 值在夏季较高,具有明显的季节性。我们还发现,非生物因素的变化可预测整个测量网络的 Fs 值,但降水/湿度与温度之间的相互作用导致了更大的复杂性。具体来说,春季气温与 Fs 之间的关系相对较强,而夏季气温与 Fs 之间的关系则比较平缓。冬季和秋季的正相关关系较弱。同时,降水量与 Fs 之间仅在某些季节存在负相关关系,因为在我们的研究系统中,大部分降水量都出现在正常生长季节之外。我们的数据有助于限制对温带雨林生态系统土壤二氧化碳通量的估计,即夏季和秋季约为 14-20 千克碳/公顷-日-1,冬季和春季为 6.5-10.5 千克碳/公顷-日-1。这些估算结果表明,这片高产温带雨林每年从土壤到大气的二氧化碳通量超过 4.5 兆克碳/公顷-年-1。这种通量对区域气候变化的敏感性将取决于自养物候反应与异养温度和湿度敏感性之间的平衡。相对较强的季节性变化以及对非生物变量相对较弱的反应表明,Fs 可能主要由自养呼吸的季节性趋势驱动。因此,在气候变化的背景下,植物和树木对气候的反应对 Fs 的影响可能比单独的温度或湿度变化更大。
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来源期刊
Forests
Forests FORESTRY-
CiteScore
4.40
自引率
17.20%
发文量
1823
审稿时长
19.02 days
期刊介绍: Forests (ISSN 1999-4907) is an international and cross-disciplinary scholarly journal of forestry and forest ecology. It publishes research papers, short communications and review papers. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.
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