Factors of soil CO2 emission in boreal forests: evidence from Central Siberia

IF 1.5 4区 农林科学 Q2 FORESTRY
AV Makhnykina, II Tychkov, AS Prokushkin, Ai Pyzhev, E. Vaganov
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引用次数: 0

Abstract

Soils of boreal forests are crucial carbon reserves. The response of soil carbon emission to climate change significantly affects the concentration of carbon dioxide in the atmosphere. Soil carbon emission models frequently show a nonlinear response to temperature, but soil moisture is an important limiting factor, often overlooked in energy limited ecosystems. We suggest a statistical model of soil CO 2 emission constrained by soil moisture and temperature for different ecosystems in the boreal zone. We tested this modelling strategy us-ing direct measurements of seasonal soil CO 2 emission near the research ob-servatory ZOTTO near the Bor settlement, Central Siberia, Russia, in 2012-2017. Soil moisture explained a significant amount of variability of soil emission: the adjusted R 2 was twice higher than in the baseline model. Although the temperature-only model describes the annual variability of carbon dioxide emissions quite well, the addition of moisture measurement significantly re-fines the quality of prediction of the seasonal component dynamics. Models including both temperature and soil moisture could serve as a promising tool to analyze the carbon cycle in boreal forest ecosystems.
北方森林土壤CO2排放因子:来自西伯利亚中部的证据
北方森林的土壤是至关重要的碳储备。土壤碳排放对气候变化的响应显著影响着大气中二氧化碳的浓度。土壤碳排放模型经常对温度表现出非线性响应,但土壤湿度是一个重要的限制因素,在能量有限的生态系统中经常被忽视。在此基础上,建立了北寒带不同生态系统土壤co2排放受温度和湿度约束的统计模型。我们利用2012-2017年在俄罗斯西伯利亚中部博尔定居点附近的ZOTTO研究观测站附近的季节性土壤CO 2排放直接测量来测试这一建模策略。土壤湿度解释了土壤排放的大量变异性:调整后的r2比基线模型高两倍。虽然仅温度模式很好地描述了二氧化碳排放的年变率,但增加水分测量显著提高了季节成分动态预测的质量。包括温度和土壤湿度的模型可以作为分析北方森林生态系统碳循环的一个有前途的工具。
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
54
审稿时长
6 months
期刊介绍: The journal encompasses a broad range of research aspects concerning forest science: forest ecology, biodiversity/genetics and ecophysiology, silviculture, forest inventory and planning, forest protection and monitoring, forest harvesting, landscape ecology, forest history, wood technology.
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