Evaluation of the ECOSSE Model for Estimating Soil Respiration from Eight European Permanent Grassland Sites

Evaluation of the ECOSSE Model for Estimating Soil Respiration from Eight European Permanent Grassland Sites
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DOI:
10.3390/agronomy13071734
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发表时间:
2023-06
期刊:
Agronomy
影响因子:
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通讯作者:
M. Abdalla;Iris Feigenwinter;M. Richards;S. Vetter;G. Wohlfahrt;U. Skiba;K. Pintér;Z. Nagy
M. Abdalla;Iris Feigenwinter;M. Richards;S. Vetter;G. Wohlfahrt;U. Skiba;K. Pintér;Z. Nagy
中科院分区:
其他
文献类型:
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作者:
M. Abdalla;Iris Feigenwinter;M. Richards;S. Vetter;G. Wohlfahrt;U. Skiba;K. Pintér;Z. Nagy

文献摘要

相似文献

本研究使用ECosse模型(v.5.0.1)模拟了8个不同草种、土壤和管理的欧洲永久草地(PG)地点的土壤呼吸(Rs)通量。主要目的是评估该模型在估算草原碳排放方面的优势和劣势,并更好地了解陆地碳循环以及自然和人为驱动因素对碳排放的影响。结果表明,当前版本的ECosse模型可能不能可靠地估计日Rs通量,特别是在干旱地区。日估计值为0.95~3.1gCO2-Cm−2,日模拟值为0.72~1.58gCO2-Cm−2。然而,ECosse仍可能是预测PG累积Rs的有价值的工具。总的年相对偏差(RD)为11.9%。此外,该模型还展示了响应于割草和泥浆应用实践的Rs的准确模拟。敏感性分析和归因试验表明,土壤有机碳(SOC)、土壤pH、温度、降水减少和地下水位(WT)深度的增加都会导致土壤Rs的增加。由于气候、天气、土壤性质和管理措施的影响,Rs通量在不同地点和年份之间的变化是不同的。这项研究表明,有必要进一步开发和应用生态系统模型,特别是在干旱和低投入地点,以评估各种土地管理干预措施对PG的碳固存和排放的影响。
This study used the ECOSSE model (v. 5.0.1) to simulate soil respiration (Rs) fluxes estimated from ecosystem respiration (Reco) for eight European permanent grassland (PG) sites with varying grass species, soils, and management. The main aim was to evaluate the strengths and weaknesses of the model in estimating Rs from grasslands, and to gain a better understanding of the terrestrial carbon cycle and how Rs is affected by natural and anthropogenic drivers. Results revealed that the current version of the ECOSSE model might not be reliable for estimating daily Rs fluxes, particularly in dry sites. The daily estimated and simulated Rs ranged from 0.95 to 3.1 g CO2-C m−2, and from 0.72 to 1.58 g CO2-C m−2, respectively. However, ECOSSE could still be a valuable tool for predicting cumulative Rs from PG. The overall annual relative deviation (RD) value between the cumulative estimated and simulated annual Rs was 11.9%. Additionally, the model demonstrated accurate simulation of Rs in response to grass cutting and slurry application practices. The sensitivity analyses and attribution tests revealed that increased soil organic carbon (SOC), soil pH, temperature, reduced precipitation, and lower water table (WT) depth could lead to increased Rs from soils. The variability of Rs fluxes across sites and years was attributed to climate, weather, soil properties, and management practices. The study suggests the need for additional development and application of the ECOSSE model, specifically in dry and low input sites, to evaluate the impacts of various land management interventions on carbon sequestration and emissions in PG.